Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +131 -3
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- checkpoint-102/README.md +202 -0
- checkpoint-102/adapter_config.json +34 -0
- checkpoint-102/adapter_model.safetensors +3 -0
- checkpoint-102/optimizer.pt +3 -0
- checkpoint-102/rng_state.pth +3 -0
- checkpoint-102/scheduler.pt +3 -0
- checkpoint-102/special_tokens_map.json +24 -0
- checkpoint-102/tokenizer.model +3 -0
- checkpoint-102/tokenizer_config.json +44 -0
- checkpoint-102/trainer_state.json +735 -0
- checkpoint-102/training_args.bin +3 -0
- checkpoint-153/README.md +202 -0
- checkpoint-153/adapter_config.json +34 -0
- checkpoint-153/adapter_model.safetensors +3 -0
- checkpoint-153/optimizer.pt +3 -0
- checkpoint-153/rng_state.pth +3 -0
- checkpoint-153/scheduler.pt +3 -0
- checkpoint-153/special_tokens_map.json +24 -0
- checkpoint-153/tokenizer.model +3 -0
- checkpoint-153/tokenizer_config.json +44 -0
- checkpoint-153/trainer_state.json +1092 -0
- checkpoint-153/training_args.bin +3 -0
- checkpoint-204/README.md +202 -0
- checkpoint-204/adapter_config.json +34 -0
- checkpoint-204/adapter_model.safetensors +3 -0
- checkpoint-204/optimizer.pt +3 -0
- checkpoint-204/rng_state.pth +3 -0
- checkpoint-204/scheduler.pt +3 -0
- checkpoint-204/special_tokens_map.json +24 -0
- checkpoint-204/tokenizer.model +3 -0
- checkpoint-204/tokenizer_config.json +44 -0
- checkpoint-204/trainer_state.json +1449 -0
- checkpoint-204/training_args.bin +3 -0
- checkpoint-51/README.md +202 -0
- checkpoint-51/adapter_config.json +34 -0
- checkpoint-51/adapter_model.safetensors +3 -0
- checkpoint-51/optimizer.pt +3 -0
- checkpoint-51/rng_state.pth +3 -0
- checkpoint-51/scheduler.pt +3 -0
- checkpoint-51/special_tokens_map.json +24 -0
- checkpoint-51/tokenizer.model +3 -0
- checkpoint-51/tokenizer_config.json +44 -0
- checkpoint-51/trainer_state.json +378 -0
- checkpoint-51/training_args.bin +3 -0
- config.json +43 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
README.md
CHANGED
@@ -1,3 +1,131 @@
|
|
1 |
-
---
|
2 |
-
license: apache-2.0
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
library_name: peft
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
7 |
+
model-index:
|
8 |
+
- name: model-out
|
9 |
+
results: []
|
10 |
+
---
|
11 |
+
|
12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
13 |
+
should probably proofread and complete it, then remove this comment. -->
|
14 |
+
|
15 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
16 |
+
<details><summary>See axolotl config</summary>
|
17 |
+
|
18 |
+
axolotl version: `0.4.0`
|
19 |
+
```yaml
|
20 |
+
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
21 |
+
model_type: LlamaForCausalLM
|
22 |
+
tokenizer_type: LlamaTokenizer
|
23 |
+
|
24 |
+
load_in_8bit: true
|
25 |
+
load_in_4bit: false
|
26 |
+
strict: false
|
27 |
+
|
28 |
+
|
29 |
+
datasets:
|
30 |
+
- path: burkelibbey/colors
|
31 |
+
type:
|
32 |
+
field_instruction: description
|
33 |
+
field_output: color
|
34 |
+
|
35 |
+
sequence_len: 4096
|
36 |
+
sample_packing: true
|
37 |
+
eval_sample_packing: false
|
38 |
+
pad_to_sequence_len: true
|
39 |
+
|
40 |
+
adapter: lora
|
41 |
+
lora_model_dir:
|
42 |
+
lora_r: 32
|
43 |
+
lora_alpha: 16
|
44 |
+
lora_dropout: 0.05
|
45 |
+
lora_target_linear: true
|
46 |
+
lora_fan_in_fan_out:
|
47 |
+
|
48 |
+
wandb_project:
|
49 |
+
wandb_entity:
|
50 |
+
wandb_watch:
|
51 |
+
wandb_name:
|
52 |
+
wandb_log_model:
|
53 |
+
|
54 |
+
gradient_accumulation_steps: 4
|
55 |
+
micro_batch_size: 2
|
56 |
+
num_epochs: 4
|
57 |
+
optimizer: adamw_bnb_8bit
|
58 |
+
lr_scheduler: cosine
|
59 |
+
learning_rate: 0.0002
|
60 |
+
|
61 |
+
train_on_inputs: false
|
62 |
+
group_by_length: false
|
63 |
+
bf16: auto
|
64 |
+
fp16:
|
65 |
+
tf32: false
|
66 |
+
|
67 |
+
gradient_checkpointing: true
|
68 |
+
early_stopping_patience:
|
69 |
+
resume_from_checkpoint:
|
70 |
+
local_rank:
|
71 |
+
logging_steps: 1
|
72 |
+
xformers_attention:
|
73 |
+
flash_attention: true
|
74 |
+
|
75 |
+
warmup_steps: 10
|
76 |
+
evals_per_epoch: 4
|
77 |
+
saves_per_epoch: 1
|
78 |
+
debug:
|
79 |
+
deepspeed:
|
80 |
+
weight_decay: 0.0
|
81 |
+
fsdp:
|
82 |
+
fsdp_config:
|
83 |
+
special_tokens:
|
84 |
+
|
85 |
+
```
|
86 |
+
|
87 |
+
</details><br>
|
88 |
+
|
89 |
+
# model-out
|
90 |
+
|
91 |
+
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset.
|
92 |
+
|
93 |
+
## Model description
|
94 |
+
|
95 |
+
More information needed
|
96 |
+
|
97 |
+
## Intended uses & limitations
|
98 |
+
|
99 |
+
More information needed
|
100 |
+
|
101 |
+
## Training and evaluation data
|
102 |
+
|
103 |
+
More information needed
|
104 |
+
|
105 |
+
## Training procedure
|
106 |
+
|
107 |
+
### Training hyperparameters
|
108 |
+
|
109 |
+
The following hyperparameters were used during training:
|
110 |
+
- learning_rate: 0.0002
|
111 |
+
- train_batch_size: 2
|
112 |
+
- eval_batch_size: 2
|
113 |
+
- seed: 42
|
114 |
+
- gradient_accumulation_steps: 4
|
115 |
+
- total_train_batch_size: 8
|
116 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
117 |
+
- lr_scheduler_type: cosine
|
118 |
+
- lr_scheduler_warmup_steps: 10
|
119 |
+
- num_epochs: 4
|
120 |
+
|
121 |
+
### Training results
|
122 |
+
|
123 |
+
|
124 |
+
|
125 |
+
### Framework versions
|
126 |
+
|
127 |
+
- PEFT 0.10.0
|
128 |
+
- Transformers 4.40.2
|
129 |
+
- Pytorch 2.1.2+cu118
|
130 |
+
- Datasets 2.19.1
|
131 |
+
- Tokenizers 0.19.1
|
adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"k_proj",
|
25 |
+
"up_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"down_proj",
|
28 |
+
"o_proj",
|
29 |
+
"q_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e7e889a3f7644aa3b914bbe531127edf581cc1bd99b2c07e3d796602006c9d8d
|
3 |
+
size 101036698
|
checkpoint-102/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-102/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"k_proj",
|
25 |
+
"up_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"down_proj",
|
28 |
+
"o_proj",
|
29 |
+
"q_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-102/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:382f505f20d31935650d8df0ad4e60e4c9a2713eb79d93837be38c3dbcc235ba
|
3 |
+
size 100966336
|
checkpoint-102/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8e01dea5290d76a186ee38e327a7f5f33bbd5a5676a7b20859149048adbb766f
|
3 |
+
size 50916644
|
checkpoint-102/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b08548b14479e5541cc6c8235da16935d98d5825ecaa016861c7dcef4b231b38
|
3 |
+
size 14244
|
checkpoint-102/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fdd0147bd27d92932170ad679293259d413fe6b01771e520a26b92e8e8b343ce
|
3 |
+
size 1064
|
checkpoint-102/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-102/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-102/tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": "</s>",
|
37 |
+
"padding_side": "right",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false,
|
43 |
+
"use_fast": true
|
44 |
+
}
|
checkpoint-102/trainer_state.json
ADDED
@@ -0,0 +1,735 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9563106796116505,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 102,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.019417475728155338,
|
13 |
+
"grad_norm": 6.841878890991211,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 4.5864,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.038834951456310676,
|
20 |
+
"grad_norm": 6.640402793884277,
|
21 |
+
"learning_rate": 4e-05,
|
22 |
+
"loss": 4.6138,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05825242718446602,
|
27 |
+
"grad_norm": 6.41209077835083,
|
28 |
+
"learning_rate": 6e-05,
|
29 |
+
"loss": 4.6064,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.07766990291262135,
|
34 |
+
"grad_norm": 6.082383632659912,
|
35 |
+
"learning_rate": 8e-05,
|
36 |
+
"loss": 4.5534,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0970873786407767,
|
41 |
+
"grad_norm": 4.00201416015625,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 4.3245,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.11650485436893204,
|
48 |
+
"grad_norm": 3.1707470417022705,
|
49 |
+
"learning_rate": 0.00012,
|
50 |
+
"loss": 4.0971,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.13592233009708737,
|
55 |
+
"grad_norm": 3.160670518875122,
|
56 |
+
"learning_rate": 0.00014,
|
57 |
+
"loss": 3.789,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.1553398058252427,
|
62 |
+
"grad_norm": 2.994746208190918,
|
63 |
+
"learning_rate": 0.00016,
|
64 |
+
"loss": 3.3244,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.17475728155339806,
|
69 |
+
"grad_norm": 2.6664786338806152,
|
70 |
+
"learning_rate": 0.00018,
|
71 |
+
"loss": 2.8561,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1941747572815534,
|
76 |
+
"grad_norm": 2.029910087585449,
|
77 |
+
"learning_rate": 0.0002,
|
78 |
+
"loss": 2.3926,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.21359223300970873,
|
83 |
+
"grad_norm": 1.3144137859344482,
|
84 |
+
"learning_rate": 0.00019998688836656323,
|
85 |
+
"loss": 2.0283,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.23300970873786409,
|
90 |
+
"grad_norm": 0.8263471722602844,
|
91 |
+
"learning_rate": 0.00019994755690455152,
|
92 |
+
"loss": 1.8683,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.2524271844660194,
|
97 |
+
"grad_norm": 0.7193414568901062,
|
98 |
+
"learning_rate": 0.0001998820159279591,
|
99 |
+
"loss": 1.732,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.27184466019417475,
|
104 |
+
"grad_norm": 0.8350910544395447,
|
105 |
+
"learning_rate": 0.00019979028262377118,
|
106 |
+
"loss": 1.6208,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2912621359223301,
|
111 |
+
"grad_norm": 0.6700139045715332,
|
112 |
+
"learning_rate": 0.00019967238104745696,
|
113 |
+
"loss": 1.493,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.3106796116504854,
|
118 |
+
"grad_norm": 1.1213518381118774,
|
119 |
+
"learning_rate": 0.0001995283421166614,
|
120 |
+
"loss": 1.4857,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.3300970873786408,
|
125 |
+
"grad_norm": 0.7505896687507629,
|
126 |
+
"learning_rate": 0.00019935820360309777,
|
127 |
+
"loss": 1.4643,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.34951456310679613,
|
132 |
+
"grad_norm": 0.6984190940856934,
|
133 |
+
"learning_rate": 0.00019916201012264254,
|
134 |
+
"loss": 1.4227,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.36893203883495146,
|
139 |
+
"grad_norm": 0.46819525957107544,
|
140 |
+
"learning_rate": 0.00019893981312363562,
|
141 |
+
"loss": 1.3889,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.3883495145631068,
|
146 |
+
"grad_norm": 0.5214670300483704,
|
147 |
+
"learning_rate": 0.00019869167087338907,
|
148 |
+
"loss": 1.3764,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.4077669902912621,
|
153 |
+
"grad_norm": 0.43329402804374695,
|
154 |
+
"learning_rate": 0.00019841764844290744,
|
155 |
+
"loss": 1.351,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.42718446601941745,
|
160 |
+
"grad_norm": 0.6535053253173828,
|
161 |
+
"learning_rate": 0.0001981178176898239,
|
162 |
+
"loss": 1.3576,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.44660194174757284,
|
167 |
+
"grad_norm": 0.6363189816474915,
|
168 |
+
"learning_rate": 0.00019779225723955707,
|
169 |
+
"loss": 1.3159,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.46601941747572817,
|
174 |
+
"grad_norm": 0.42140620946884155,
|
175 |
+
"learning_rate": 0.00019744105246469263,
|
176 |
+
"loss": 1.3072,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4854368932038835,
|
181 |
+
"grad_norm": 0.6757440567016602,
|
182 |
+
"learning_rate": 0.00019706429546259593,
|
183 |
+
"loss": 1.3261,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.5048543689320388,
|
188 |
+
"grad_norm": 0.4116632044315338,
|
189 |
+
"learning_rate": 0.00019666208503126112,
|
190 |
+
"loss": 1.317,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.5242718446601942,
|
195 |
+
"grad_norm": 0.5359898209571838,
|
196 |
+
"learning_rate": 0.00019623452664340306,
|
197 |
+
"loss": 1.2932,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.5436893203883495,
|
202 |
+
"grad_norm": 0.4596949517726898,
|
203 |
+
"learning_rate": 0.00019578173241879872,
|
204 |
+
"loss": 1.2601,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.5631067961165048,
|
209 |
+
"grad_norm": 0.6857442855834961,
|
210 |
+
"learning_rate": 0.0001953038210948861,
|
211 |
+
"loss": 1.2734,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.5825242718446602,
|
216 |
+
"grad_norm": 0.4453957676887512,
|
217 |
+
"learning_rate": 0.00019480091799562704,
|
218 |
+
"loss": 1.2521,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.6019417475728155,
|
223 |
+
"grad_norm": 0.6118847131729126,
|
224 |
+
"learning_rate": 0.00019427315499864344,
|
225 |
+
"loss": 1.2252,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.6213592233009708,
|
230 |
+
"grad_norm": 0.4894339442253113,
|
231 |
+
"learning_rate": 0.00019372067050063438,
|
232 |
+
"loss": 1.2369,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.6407766990291263,
|
237 |
+
"grad_norm": 0.5901785492897034,
|
238 |
+
"learning_rate": 0.00019314360938108425,
|
239 |
+
"loss": 1.2507,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.6601941747572816,
|
244 |
+
"grad_norm": 0.4147897958755493,
|
245 |
+
"learning_rate": 0.00019254212296427044,
|
246 |
+
"loss": 1.2454,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.6796116504854369,
|
251 |
+
"grad_norm": 0.2836126685142517,
|
252 |
+
"learning_rate": 0.00019191636897958122,
|
253 |
+
"loss": 1.2515,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.6990291262135923,
|
258 |
+
"grad_norm": 0.4523944556713104,
|
259 |
+
"learning_rate": 0.00019126651152015403,
|
260 |
+
"loss": 1.2217,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.7184466019417476,
|
265 |
+
"grad_norm": 0.4187013804912567,
|
266 |
+
"learning_rate": 0.0001905927209998447,
|
267 |
+
"loss": 1.2382,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.7378640776699029,
|
272 |
+
"grad_norm": 0.516381561756134,
|
273 |
+
"learning_rate": 0.00018989517410853955,
|
274 |
+
"loss": 1.2214,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.7572815533980582,
|
279 |
+
"grad_norm": 0.5928078889846802,
|
280 |
+
"learning_rate": 0.00018917405376582145,
|
281 |
+
"loss": 1.2407,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.7766990291262136,
|
286 |
+
"grad_norm": 0.4062119722366333,
|
287 |
+
"learning_rate": 0.00018842954907300236,
|
288 |
+
"loss": 1.1958,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.7961165048543689,
|
293 |
+
"grad_norm": 0.5966278910636902,
|
294 |
+
"learning_rate": 0.0001876618552635348,
|
295 |
+
"loss": 1.2043,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.8155339805825242,
|
300 |
+
"grad_norm": 0.47196483612060547,
|
301 |
+
"learning_rate": 0.00018687117365181512,
|
302 |
+
"loss": 1.2321,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.8349514563106796,
|
307 |
+
"grad_norm": 0.6465126872062683,
|
308 |
+
"learning_rate": 0.00018605771158039253,
|
309 |
+
"loss": 1.1996,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.8543689320388349,
|
314 |
+
"grad_norm": 0.4234643578529358,
|
315 |
+
"learning_rate": 0.00018522168236559695,
|
316 |
+
"loss": 1.198,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.8737864077669902,
|
321 |
+
"grad_norm": 0.3910824656486511,
|
322 |
+
"learning_rate": 0.00018436330524160047,
|
323 |
+
"loss": 1.1895,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.8932038834951457,
|
328 |
+
"grad_norm": 0.5380635261535645,
|
329 |
+
"learning_rate": 0.00018348280530292713,
|
330 |
+
"loss": 1.1693,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.912621359223301,
|
335 |
+
"grad_norm": 0.31823453307151794,
|
336 |
+
"learning_rate": 0.00018258041344542566,
|
337 |
+
"loss": 1.159,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.9320388349514563,
|
342 |
+
"grad_norm": 0.5679419636726379,
|
343 |
+
"learning_rate": 0.0001816563663057211,
|
344 |
+
"loss": 1.1931,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.9514563106796117,
|
349 |
+
"grad_norm": 0.3980861008167267,
|
350 |
+
"learning_rate": 0.00018071090619916093,
|
351 |
+
"loss": 1.1826,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.970873786407767,
|
356 |
+
"grad_norm": 0.3688671588897705,
|
357 |
+
"learning_rate": 0.00017974428105627208,
|
358 |
+
"loss": 1.176,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.9902912621359223,
|
363 |
+
"grad_norm": 0.4137047827243805,
|
364 |
+
"learning_rate": 0.00017875674435774547,
|
365 |
+
"loss": 1.142,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 1.0097087378640777,
|
370 |
+
"grad_norm": 0.3141655921936035,
|
371 |
+
"learning_rate": 0.00017774855506796496,
|
372 |
+
"loss": 1.1614,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 1.0048543689320388,
|
377 |
+
"grad_norm": 0.3113202154636383,
|
378 |
+
"learning_rate": 0.00017671997756709863,
|
379 |
+
"loss": 1.1668,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.0242718446601942,
|
384 |
+
"grad_norm": 0.5369274616241455,
|
385 |
+
"learning_rate": 0.00017567128158176953,
|
386 |
+
"loss": 1.1157,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.0436893203883495,
|
391 |
+
"grad_norm": 0.550740122795105,
|
392 |
+
"learning_rate": 0.0001746027421143246,
|
393 |
+
"loss": 1.1674,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.0631067961165048,
|
398 |
+
"grad_norm": 0.4507598578929901,
|
399 |
+
"learning_rate": 0.00017351463937072004,
|
400 |
+
"loss": 1.1484,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.0825242718446602,
|
405 |
+
"grad_norm": 0.5626426935195923,
|
406 |
+
"learning_rate": 0.00017240725868704218,
|
407 |
+
"loss": 1.1614,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.1019417475728155,
|
412 |
+
"grad_norm": 0.36562928557395935,
|
413 |
+
"learning_rate": 0.00017128089045468294,
|
414 |
+
"loss": 1.1246,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 1.1213592233009708,
|
419 |
+
"grad_norm": 0.6106365323066711,
|
420 |
+
"learning_rate": 0.00017013583004418993,
|
421 |
+
"loss": 1.141,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.1407766990291262,
|
426 |
+
"grad_norm": 0.3751409947872162,
|
427 |
+
"learning_rate": 0.00016897237772781044,
|
428 |
+
"loss": 1.1565,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.1601941747572815,
|
433 |
+
"grad_norm": 0.5318562984466553,
|
434 |
+
"learning_rate": 0.00016779083860075033,
|
435 |
+
"loss": 1.1501,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.1796116504854368,
|
440 |
+
"grad_norm": 0.3675023317337036,
|
441 |
+
"learning_rate": 0.00016659152250116812,
|
442 |
+
"loss": 1.1162,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.1990291262135921,
|
447 |
+
"grad_norm": 0.38894137740135193,
|
448 |
+
"learning_rate": 0.00016537474392892528,
|
449 |
+
"loss": 1.146,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.2184466019417475,
|
454 |
+
"grad_norm": 0.3107282817363739,
|
455 |
+
"learning_rate": 0.000164140821963114,
|
456 |
+
"loss": 1.135,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.237864077669903,
|
461 |
+
"grad_norm": 0.2496870756149292,
|
462 |
+
"learning_rate": 0.00016289008017838445,
|
463 |
+
"loss": 1.133,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.2572815533980584,
|
468 |
+
"grad_norm": 0.35233214497566223,
|
469 |
+
"learning_rate": 0.00016162284656009274,
|
470 |
+
"loss": 1.1446,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.2766990291262137,
|
475 |
+
"grad_norm": 0.33078905940055847,
|
476 |
+
"learning_rate": 0.00016033945341829248,
|
477 |
+
"loss": 1.1077,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.296116504854369,
|
482 |
+
"grad_norm": 0.24236944317817688,
|
483 |
+
"learning_rate": 0.00015904023730059228,
|
484 |
+
"loss": 1.1367,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.3155339805825244,
|
489 |
+
"grad_norm": 0.3248869776725769,
|
490 |
+
"learning_rate": 0.00015772553890390197,
|
491 |
+
"loss": 1.1405,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.3349514563106797,
|
496 |
+
"grad_norm": 0.3145497739315033,
|
497 |
+
"learning_rate": 0.00015639570298509064,
|
498 |
+
"loss": 1.1134,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.354368932038835,
|
503 |
+
"grad_norm": 0.3858337700366974,
|
504 |
+
"learning_rate": 0.00015505107827058036,
|
505 |
+
"loss": 1.1293,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.3737864077669903,
|
510 |
+
"grad_norm": 0.3683490753173828,
|
511 |
+
"learning_rate": 0.0001536920173648984,
|
512 |
+
"loss": 1.1069,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.3932038834951457,
|
517 |
+
"grad_norm": 0.5532976388931274,
|
518 |
+
"learning_rate": 0.000152318876658213,
|
519 |
+
"loss": 1.1432,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.412621359223301,
|
524 |
+
"grad_norm": 0.3198872208595276,
|
525 |
+
"learning_rate": 0.00015093201623287631,
|
526 |
+
"loss": 1.1423,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.4320388349514563,
|
531 |
+
"grad_norm": 0.7470155954360962,
|
532 |
+
"learning_rate": 0.00014953179976899878,
|
533 |
+
"loss": 1.1475,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.4514563106796117,
|
538 |
+
"grad_norm": 0.4092984199523926,
|
539 |
+
"learning_rate": 0.00014811859444908052,
|
540 |
+
"loss": 1.0955,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.470873786407767,
|
545 |
+
"grad_norm": 0.6536680459976196,
|
546 |
+
"learning_rate": 0.00014669277086172406,
|
547 |
+
"loss": 1.1359,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.4902912621359223,
|
552 |
+
"grad_norm": 0.35692015290260315,
|
553 |
+
"learning_rate": 0.00014525470290445392,
|
554 |
+
"loss": 1.1131,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.5097087378640777,
|
559 |
+
"grad_norm": 0.46786415576934814,
|
560 |
+
"learning_rate": 0.00014380476768566824,
|
561 |
+
"loss": 1.1133,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.529126213592233,
|
566 |
+
"grad_norm": 0.6847173571586609,
|
567 |
+
"learning_rate": 0.00014234334542574906,
|
568 |
+
"loss": 1.125,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.5485436893203883,
|
573 |
+
"grad_norm": 0.5090566277503967,
|
574 |
+
"learning_rate": 0.00014087081935735564,
|
575 |
+
"loss": 1.1562,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.5679611650485437,
|
580 |
+
"grad_norm": 0.7293880581855774,
|
581 |
+
"learning_rate": 0.00013938757562492873,
|
582 |
+
"loss": 1.1348,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.587378640776699,
|
587 |
+
"grad_norm": 0.3536413908004761,
|
588 |
+
"learning_rate": 0.00013789400318343068,
|
589 |
+
"loss": 1.1134,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.6067961165048543,
|
594 |
+
"grad_norm": 0.802762508392334,
|
595 |
+
"learning_rate": 0.00013639049369634876,
|
596 |
+
"loss": 1.1256,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.6262135922330097,
|
601 |
+
"grad_norm": 0.27904102206230164,
|
602 |
+
"learning_rate": 0.00013487744143298822,
|
603 |
+
"loss": 1.1367,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.645631067961165,
|
608 |
+
"grad_norm": 0.6024283170700073,
|
609 |
+
"learning_rate": 0.00013335524316508208,
|
610 |
+
"loss": 1.1174,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.6650485436893203,
|
615 |
+
"grad_norm": 0.5118915438652039,
|
616 |
+
"learning_rate": 0.0001318242980627444,
|
617 |
+
"loss": 1.0848,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.6844660194174756,
|
622 |
+
"grad_norm": 0.3924892544746399,
|
623 |
+
"learning_rate": 0.00013028500758979506,
|
624 |
+
"loss": 1.1114,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.703883495145631,
|
629 |
+
"grad_norm": 0.4876178801059723,
|
630 |
+
"learning_rate": 0.00012873777539848283,
|
631 |
+
"loss": 1.1303,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.7233009708737863,
|
636 |
+
"grad_norm": 0.4133356809616089,
|
637 |
+
"learning_rate": 0.0001271830072236343,
|
638 |
+
"loss": 1.0894,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.7427184466019416,
|
643 |
+
"grad_norm": 0.42908573150634766,
|
644 |
+
"learning_rate": 0.00012562111077625722,
|
645 |
+
"loss": 1.0806,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.762135922330097,
|
650 |
+
"grad_norm": 0.5923053026199341,
|
651 |
+
"learning_rate": 0.00012405249563662537,
|
652 |
+
"loss": 1.1254,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.7815533980582523,
|
657 |
+
"grad_norm": 0.34368380904197693,
|
658 |
+
"learning_rate": 0.00012247757314687297,
|
659 |
+
"loss": 1.1251,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.8009708737864076,
|
664 |
+
"grad_norm": 0.6336709856987,
|
665 |
+
"learning_rate": 0.00012089675630312754,
|
666 |
+
"loss": 1.1042,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.820388349514563,
|
671 |
+
"grad_norm": 0.32966285943984985,
|
672 |
+
"learning_rate": 0.00011931045964720881,
|
673 |
+
"loss": 1.09,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.8398058252427183,
|
678 |
+
"grad_norm": 0.42973244190216064,
|
679 |
+
"learning_rate": 0.0001177190991579223,
|
680 |
+
"loss": 1.0896,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.8592233009708736,
|
685 |
+
"grad_norm": 0.5365500450134277,
|
686 |
+
"learning_rate": 0.00011612309214197599,
|
687 |
+
"loss": 1.1281,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.8786407766990292,
|
692 |
+
"grad_norm": 0.4330235421657562,
|
693 |
+
"learning_rate": 0.00011452285712454904,
|
694 |
+
"loss": 1.087,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.8980582524271845,
|
699 |
+
"grad_norm": 0.47839391231536865,
|
700 |
+
"learning_rate": 0.00011291881373954065,
|
701 |
+
"loss": 1.0967,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.9174757281553398,
|
706 |
+
"grad_norm": 0.27464163303375244,
|
707 |
+
"learning_rate": 0.00011131138261952845,
|
708 |
+
"loss": 1.0981,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.9368932038834952,
|
713 |
+
"grad_norm": 0.41849982738494873,
|
714 |
+
"learning_rate": 0.00010970098528546481,
|
715 |
+
"loss": 1.1203,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.9563106796116505,
|
720 |
+
"grad_norm": 0.4630599915981293,
|
721 |
+
"learning_rate": 0.00010808804403614043,
|
722 |
+
"loss": 1.1224,
|
723 |
+
"step": 102
|
724 |
+
}
|
725 |
+
],
|
726 |
+
"logging_steps": 1,
|
727 |
+
"max_steps": 204,
|
728 |
+
"num_input_tokens_seen": 0,
|
729 |
+
"num_train_epochs": 4,
|
730 |
+
"save_steps": 51,
|
731 |
+
"total_flos": 2.122607373582336e+16,
|
732 |
+
"train_batch_size": 2,
|
733 |
+
"trial_name": null,
|
734 |
+
"trial_params": null
|
735 |
+
}
|
checkpoint-102/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c5137d02e04a9e9bac65c98c789ae039033678d1581c7bd7d88ddb181436aa56
|
3 |
+
size 5816
|
checkpoint-153/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-153/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"k_proj",
|
25 |
+
"up_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"down_proj",
|
28 |
+
"o_proj",
|
29 |
+
"q_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-153/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a07be8a05be42cce036105a2b492dae703c7a69ba8d214593fed8c7aaedf0fa5
|
3 |
+
size 100966336
|
checkpoint-153/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fd3300246cdafeb2074b14614dbcf76ef6fa7d4bca7229c5e6bbab13ca482a11
|
3 |
+
size 50916644
|
checkpoint-153/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99db079f9484366e7651458e563afb4133c5ec0c2ec99c01fa732d07831dd752
|
3 |
+
size 14244
|
checkpoint-153/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45550cb7e4860b08baa6921121c8c015f08db1f00c8dfffd452c24d43c24a0fc
|
3 |
+
size 1064
|
checkpoint-153/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-153/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-153/tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": "</s>",
|
37 |
+
"padding_side": "right",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false,
|
43 |
+
"use_fast": true
|
44 |
+
}
|
checkpoint-153/trainer_state.json
ADDED
@@ -0,0 +1,1092 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.9223300970873787,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 153,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.019417475728155338,
|
13 |
+
"grad_norm": 6.841878890991211,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 4.5864,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.038834951456310676,
|
20 |
+
"grad_norm": 6.640402793884277,
|
21 |
+
"learning_rate": 4e-05,
|
22 |
+
"loss": 4.6138,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05825242718446602,
|
27 |
+
"grad_norm": 6.41209077835083,
|
28 |
+
"learning_rate": 6e-05,
|
29 |
+
"loss": 4.6064,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.07766990291262135,
|
34 |
+
"grad_norm": 6.082383632659912,
|
35 |
+
"learning_rate": 8e-05,
|
36 |
+
"loss": 4.5534,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0970873786407767,
|
41 |
+
"grad_norm": 4.00201416015625,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 4.3245,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.11650485436893204,
|
48 |
+
"grad_norm": 3.1707470417022705,
|
49 |
+
"learning_rate": 0.00012,
|
50 |
+
"loss": 4.0971,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.13592233009708737,
|
55 |
+
"grad_norm": 3.160670518875122,
|
56 |
+
"learning_rate": 0.00014,
|
57 |
+
"loss": 3.789,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.1553398058252427,
|
62 |
+
"grad_norm": 2.994746208190918,
|
63 |
+
"learning_rate": 0.00016,
|
64 |
+
"loss": 3.3244,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.17475728155339806,
|
69 |
+
"grad_norm": 2.6664786338806152,
|
70 |
+
"learning_rate": 0.00018,
|
71 |
+
"loss": 2.8561,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1941747572815534,
|
76 |
+
"grad_norm": 2.029910087585449,
|
77 |
+
"learning_rate": 0.0002,
|
78 |
+
"loss": 2.3926,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.21359223300970873,
|
83 |
+
"grad_norm": 1.3144137859344482,
|
84 |
+
"learning_rate": 0.00019998688836656323,
|
85 |
+
"loss": 2.0283,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.23300970873786409,
|
90 |
+
"grad_norm": 0.8263471722602844,
|
91 |
+
"learning_rate": 0.00019994755690455152,
|
92 |
+
"loss": 1.8683,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.2524271844660194,
|
97 |
+
"grad_norm": 0.7193414568901062,
|
98 |
+
"learning_rate": 0.0001998820159279591,
|
99 |
+
"loss": 1.732,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.27184466019417475,
|
104 |
+
"grad_norm": 0.8350910544395447,
|
105 |
+
"learning_rate": 0.00019979028262377118,
|
106 |
+
"loss": 1.6208,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2912621359223301,
|
111 |
+
"grad_norm": 0.6700139045715332,
|
112 |
+
"learning_rate": 0.00019967238104745696,
|
113 |
+
"loss": 1.493,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.3106796116504854,
|
118 |
+
"grad_norm": 1.1213518381118774,
|
119 |
+
"learning_rate": 0.0001995283421166614,
|
120 |
+
"loss": 1.4857,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.3300970873786408,
|
125 |
+
"grad_norm": 0.7505896687507629,
|
126 |
+
"learning_rate": 0.00019935820360309777,
|
127 |
+
"loss": 1.4643,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.34951456310679613,
|
132 |
+
"grad_norm": 0.6984190940856934,
|
133 |
+
"learning_rate": 0.00019916201012264254,
|
134 |
+
"loss": 1.4227,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.36893203883495146,
|
139 |
+
"grad_norm": 0.46819525957107544,
|
140 |
+
"learning_rate": 0.00019893981312363562,
|
141 |
+
"loss": 1.3889,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.3883495145631068,
|
146 |
+
"grad_norm": 0.5214670300483704,
|
147 |
+
"learning_rate": 0.00019869167087338907,
|
148 |
+
"loss": 1.3764,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.4077669902912621,
|
153 |
+
"grad_norm": 0.43329402804374695,
|
154 |
+
"learning_rate": 0.00019841764844290744,
|
155 |
+
"loss": 1.351,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.42718446601941745,
|
160 |
+
"grad_norm": 0.6535053253173828,
|
161 |
+
"learning_rate": 0.0001981178176898239,
|
162 |
+
"loss": 1.3576,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.44660194174757284,
|
167 |
+
"grad_norm": 0.6363189816474915,
|
168 |
+
"learning_rate": 0.00019779225723955707,
|
169 |
+
"loss": 1.3159,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.46601941747572817,
|
174 |
+
"grad_norm": 0.42140620946884155,
|
175 |
+
"learning_rate": 0.00019744105246469263,
|
176 |
+
"loss": 1.3072,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4854368932038835,
|
181 |
+
"grad_norm": 0.6757440567016602,
|
182 |
+
"learning_rate": 0.00019706429546259593,
|
183 |
+
"loss": 1.3261,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.5048543689320388,
|
188 |
+
"grad_norm": 0.4116632044315338,
|
189 |
+
"learning_rate": 0.00019666208503126112,
|
190 |
+
"loss": 1.317,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.5242718446601942,
|
195 |
+
"grad_norm": 0.5359898209571838,
|
196 |
+
"learning_rate": 0.00019623452664340306,
|
197 |
+
"loss": 1.2932,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.5436893203883495,
|
202 |
+
"grad_norm": 0.4596949517726898,
|
203 |
+
"learning_rate": 0.00019578173241879872,
|
204 |
+
"loss": 1.2601,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.5631067961165048,
|
209 |
+
"grad_norm": 0.6857442855834961,
|
210 |
+
"learning_rate": 0.0001953038210948861,
|
211 |
+
"loss": 1.2734,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.5825242718446602,
|
216 |
+
"grad_norm": 0.4453957676887512,
|
217 |
+
"learning_rate": 0.00019480091799562704,
|
218 |
+
"loss": 1.2521,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.6019417475728155,
|
223 |
+
"grad_norm": 0.6118847131729126,
|
224 |
+
"learning_rate": 0.00019427315499864344,
|
225 |
+
"loss": 1.2252,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.6213592233009708,
|
230 |
+
"grad_norm": 0.4894339442253113,
|
231 |
+
"learning_rate": 0.00019372067050063438,
|
232 |
+
"loss": 1.2369,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.6407766990291263,
|
237 |
+
"grad_norm": 0.5901785492897034,
|
238 |
+
"learning_rate": 0.00019314360938108425,
|
239 |
+
"loss": 1.2507,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.6601941747572816,
|
244 |
+
"grad_norm": 0.4147897958755493,
|
245 |
+
"learning_rate": 0.00019254212296427044,
|
246 |
+
"loss": 1.2454,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.6796116504854369,
|
251 |
+
"grad_norm": 0.2836126685142517,
|
252 |
+
"learning_rate": 0.00019191636897958122,
|
253 |
+
"loss": 1.2515,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.6990291262135923,
|
258 |
+
"grad_norm": 0.4523944556713104,
|
259 |
+
"learning_rate": 0.00019126651152015403,
|
260 |
+
"loss": 1.2217,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.7184466019417476,
|
265 |
+
"grad_norm": 0.4187013804912567,
|
266 |
+
"learning_rate": 0.0001905927209998447,
|
267 |
+
"loss": 1.2382,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.7378640776699029,
|
272 |
+
"grad_norm": 0.516381561756134,
|
273 |
+
"learning_rate": 0.00018989517410853955,
|
274 |
+
"loss": 1.2214,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.7572815533980582,
|
279 |
+
"grad_norm": 0.5928078889846802,
|
280 |
+
"learning_rate": 0.00018917405376582145,
|
281 |
+
"loss": 1.2407,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.7766990291262136,
|
286 |
+
"grad_norm": 0.4062119722366333,
|
287 |
+
"learning_rate": 0.00018842954907300236,
|
288 |
+
"loss": 1.1958,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.7961165048543689,
|
293 |
+
"grad_norm": 0.5966278910636902,
|
294 |
+
"learning_rate": 0.0001876618552635348,
|
295 |
+
"loss": 1.2043,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.8155339805825242,
|
300 |
+
"grad_norm": 0.47196483612060547,
|
301 |
+
"learning_rate": 0.00018687117365181512,
|
302 |
+
"loss": 1.2321,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.8349514563106796,
|
307 |
+
"grad_norm": 0.6465126872062683,
|
308 |
+
"learning_rate": 0.00018605771158039253,
|
309 |
+
"loss": 1.1996,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.8543689320388349,
|
314 |
+
"grad_norm": 0.4234643578529358,
|
315 |
+
"learning_rate": 0.00018522168236559695,
|
316 |
+
"loss": 1.198,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.8737864077669902,
|
321 |
+
"grad_norm": 0.3910824656486511,
|
322 |
+
"learning_rate": 0.00018436330524160047,
|
323 |
+
"loss": 1.1895,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.8932038834951457,
|
328 |
+
"grad_norm": 0.5380635261535645,
|
329 |
+
"learning_rate": 0.00018348280530292713,
|
330 |
+
"loss": 1.1693,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.912621359223301,
|
335 |
+
"grad_norm": 0.31823453307151794,
|
336 |
+
"learning_rate": 0.00018258041344542566,
|
337 |
+
"loss": 1.159,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.9320388349514563,
|
342 |
+
"grad_norm": 0.5679419636726379,
|
343 |
+
"learning_rate": 0.0001816563663057211,
|
344 |
+
"loss": 1.1931,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.9514563106796117,
|
349 |
+
"grad_norm": 0.3980861008167267,
|
350 |
+
"learning_rate": 0.00018071090619916093,
|
351 |
+
"loss": 1.1826,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.970873786407767,
|
356 |
+
"grad_norm": 0.3688671588897705,
|
357 |
+
"learning_rate": 0.00017974428105627208,
|
358 |
+
"loss": 1.176,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.9902912621359223,
|
363 |
+
"grad_norm": 0.4137047827243805,
|
364 |
+
"learning_rate": 0.00017875674435774547,
|
365 |
+
"loss": 1.142,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 1.0097087378640777,
|
370 |
+
"grad_norm": 0.3141655921936035,
|
371 |
+
"learning_rate": 0.00017774855506796496,
|
372 |
+
"loss": 1.1614,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 1.0048543689320388,
|
377 |
+
"grad_norm": 0.3113202154636383,
|
378 |
+
"learning_rate": 0.00017671997756709863,
|
379 |
+
"loss": 1.1668,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.0242718446601942,
|
384 |
+
"grad_norm": 0.5369274616241455,
|
385 |
+
"learning_rate": 0.00017567128158176953,
|
386 |
+
"loss": 1.1157,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.0436893203883495,
|
391 |
+
"grad_norm": 0.550740122795105,
|
392 |
+
"learning_rate": 0.0001746027421143246,
|
393 |
+
"loss": 1.1674,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.0631067961165048,
|
398 |
+
"grad_norm": 0.4507598578929901,
|
399 |
+
"learning_rate": 0.00017351463937072004,
|
400 |
+
"loss": 1.1484,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.0825242718446602,
|
405 |
+
"grad_norm": 0.5626426935195923,
|
406 |
+
"learning_rate": 0.00017240725868704218,
|
407 |
+
"loss": 1.1614,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.1019417475728155,
|
412 |
+
"grad_norm": 0.36562928557395935,
|
413 |
+
"learning_rate": 0.00017128089045468294,
|
414 |
+
"loss": 1.1246,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 1.1213592233009708,
|
419 |
+
"grad_norm": 0.6106365323066711,
|
420 |
+
"learning_rate": 0.00017013583004418993,
|
421 |
+
"loss": 1.141,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.1407766990291262,
|
426 |
+
"grad_norm": 0.3751409947872162,
|
427 |
+
"learning_rate": 0.00016897237772781044,
|
428 |
+
"loss": 1.1565,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.1601941747572815,
|
433 |
+
"grad_norm": 0.5318562984466553,
|
434 |
+
"learning_rate": 0.00016779083860075033,
|
435 |
+
"loss": 1.1501,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.1796116504854368,
|
440 |
+
"grad_norm": 0.3675023317337036,
|
441 |
+
"learning_rate": 0.00016659152250116812,
|
442 |
+
"loss": 1.1162,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.1990291262135921,
|
447 |
+
"grad_norm": 0.38894137740135193,
|
448 |
+
"learning_rate": 0.00016537474392892528,
|
449 |
+
"loss": 1.146,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.2184466019417475,
|
454 |
+
"grad_norm": 0.3107282817363739,
|
455 |
+
"learning_rate": 0.000164140821963114,
|
456 |
+
"loss": 1.135,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.237864077669903,
|
461 |
+
"grad_norm": 0.2496870756149292,
|
462 |
+
"learning_rate": 0.00016289008017838445,
|
463 |
+
"loss": 1.133,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.2572815533980584,
|
468 |
+
"grad_norm": 0.35233214497566223,
|
469 |
+
"learning_rate": 0.00016162284656009274,
|
470 |
+
"loss": 1.1446,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.2766990291262137,
|
475 |
+
"grad_norm": 0.33078905940055847,
|
476 |
+
"learning_rate": 0.00016033945341829248,
|
477 |
+
"loss": 1.1077,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.296116504854369,
|
482 |
+
"grad_norm": 0.24236944317817688,
|
483 |
+
"learning_rate": 0.00015904023730059228,
|
484 |
+
"loss": 1.1367,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.3155339805825244,
|
489 |
+
"grad_norm": 0.3248869776725769,
|
490 |
+
"learning_rate": 0.00015772553890390197,
|
491 |
+
"loss": 1.1405,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.3349514563106797,
|
496 |
+
"grad_norm": 0.3145497739315033,
|
497 |
+
"learning_rate": 0.00015639570298509064,
|
498 |
+
"loss": 1.1134,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.354368932038835,
|
503 |
+
"grad_norm": 0.3858337700366974,
|
504 |
+
"learning_rate": 0.00015505107827058036,
|
505 |
+
"loss": 1.1293,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.3737864077669903,
|
510 |
+
"grad_norm": 0.3683490753173828,
|
511 |
+
"learning_rate": 0.0001536920173648984,
|
512 |
+
"loss": 1.1069,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.3932038834951457,
|
517 |
+
"grad_norm": 0.5532976388931274,
|
518 |
+
"learning_rate": 0.000152318876658213,
|
519 |
+
"loss": 1.1432,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.412621359223301,
|
524 |
+
"grad_norm": 0.3198872208595276,
|
525 |
+
"learning_rate": 0.00015093201623287631,
|
526 |
+
"loss": 1.1423,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.4320388349514563,
|
531 |
+
"grad_norm": 0.7470155954360962,
|
532 |
+
"learning_rate": 0.00014953179976899878,
|
533 |
+
"loss": 1.1475,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.4514563106796117,
|
538 |
+
"grad_norm": 0.4092984199523926,
|
539 |
+
"learning_rate": 0.00014811859444908052,
|
540 |
+
"loss": 1.0955,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.470873786407767,
|
545 |
+
"grad_norm": 0.6536680459976196,
|
546 |
+
"learning_rate": 0.00014669277086172406,
|
547 |
+
"loss": 1.1359,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.4902912621359223,
|
552 |
+
"grad_norm": 0.35692015290260315,
|
553 |
+
"learning_rate": 0.00014525470290445392,
|
554 |
+
"loss": 1.1131,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.5097087378640777,
|
559 |
+
"grad_norm": 0.46786415576934814,
|
560 |
+
"learning_rate": 0.00014380476768566824,
|
561 |
+
"loss": 1.1133,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.529126213592233,
|
566 |
+
"grad_norm": 0.6847173571586609,
|
567 |
+
"learning_rate": 0.00014234334542574906,
|
568 |
+
"loss": 1.125,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.5485436893203883,
|
573 |
+
"grad_norm": 0.5090566277503967,
|
574 |
+
"learning_rate": 0.00014087081935735564,
|
575 |
+
"loss": 1.1562,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.5679611650485437,
|
580 |
+
"grad_norm": 0.7293880581855774,
|
581 |
+
"learning_rate": 0.00013938757562492873,
|
582 |
+
"loss": 1.1348,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.587378640776699,
|
587 |
+
"grad_norm": 0.3536413908004761,
|
588 |
+
"learning_rate": 0.00013789400318343068,
|
589 |
+
"loss": 1.1134,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.6067961165048543,
|
594 |
+
"grad_norm": 0.802762508392334,
|
595 |
+
"learning_rate": 0.00013639049369634876,
|
596 |
+
"loss": 1.1256,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.6262135922330097,
|
601 |
+
"grad_norm": 0.27904102206230164,
|
602 |
+
"learning_rate": 0.00013487744143298822,
|
603 |
+
"loss": 1.1367,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.645631067961165,
|
608 |
+
"grad_norm": 0.6024283170700073,
|
609 |
+
"learning_rate": 0.00013335524316508208,
|
610 |
+
"loss": 1.1174,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.6650485436893203,
|
615 |
+
"grad_norm": 0.5118915438652039,
|
616 |
+
"learning_rate": 0.0001318242980627444,
|
617 |
+
"loss": 1.0848,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.6844660194174756,
|
622 |
+
"grad_norm": 0.3924892544746399,
|
623 |
+
"learning_rate": 0.00013028500758979506,
|
624 |
+
"loss": 1.1114,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.703883495145631,
|
629 |
+
"grad_norm": 0.4876178801059723,
|
630 |
+
"learning_rate": 0.00012873777539848283,
|
631 |
+
"loss": 1.1303,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.7233009708737863,
|
636 |
+
"grad_norm": 0.4133356809616089,
|
637 |
+
"learning_rate": 0.0001271830072236343,
|
638 |
+
"loss": 1.0894,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.7427184466019416,
|
643 |
+
"grad_norm": 0.42908573150634766,
|
644 |
+
"learning_rate": 0.00012562111077625722,
|
645 |
+
"loss": 1.0806,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.762135922330097,
|
650 |
+
"grad_norm": 0.5923053026199341,
|
651 |
+
"learning_rate": 0.00012405249563662537,
|
652 |
+
"loss": 1.1254,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.7815533980582523,
|
657 |
+
"grad_norm": 0.34368380904197693,
|
658 |
+
"learning_rate": 0.00012247757314687297,
|
659 |
+
"loss": 1.1251,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.8009708737864076,
|
664 |
+
"grad_norm": 0.6336709856987,
|
665 |
+
"learning_rate": 0.00012089675630312754,
|
666 |
+
"loss": 1.1042,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.820388349514563,
|
671 |
+
"grad_norm": 0.32966285943984985,
|
672 |
+
"learning_rate": 0.00011931045964720881,
|
673 |
+
"loss": 1.09,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.8398058252427183,
|
678 |
+
"grad_norm": 0.42973244190216064,
|
679 |
+
"learning_rate": 0.0001177190991579223,
|
680 |
+
"loss": 1.0896,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.8592233009708736,
|
685 |
+
"grad_norm": 0.5365500450134277,
|
686 |
+
"learning_rate": 0.00011612309214197599,
|
687 |
+
"loss": 1.1281,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.8786407766990292,
|
692 |
+
"grad_norm": 0.4330235421657562,
|
693 |
+
"learning_rate": 0.00011452285712454904,
|
694 |
+
"loss": 1.087,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.8980582524271845,
|
699 |
+
"grad_norm": 0.47839391231536865,
|
700 |
+
"learning_rate": 0.00011291881373954065,
|
701 |
+
"loss": 1.0967,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.9174757281553398,
|
706 |
+
"grad_norm": 0.27464163303375244,
|
707 |
+
"learning_rate": 0.00011131138261952845,
|
708 |
+
"loss": 1.0981,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.9368932038834952,
|
713 |
+
"grad_norm": 0.41849982738494873,
|
714 |
+
"learning_rate": 0.00010970098528546481,
|
715 |
+
"loss": 1.1203,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.9563106796116505,
|
720 |
+
"grad_norm": 0.4630599915981293,
|
721 |
+
"learning_rate": 0.00010808804403614043,
|
722 |
+
"loss": 1.1224,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.9757281553398058,
|
727 |
+
"grad_norm": 0.34116509556770325,
|
728 |
+
"learning_rate": 0.00010647298183744359,
|
729 |
+
"loss": 1.0871,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 1.9951456310679612,
|
734 |
+
"grad_norm": 0.4391232430934906,
|
735 |
+
"learning_rate": 0.00010485622221144484,
|
736 |
+
"loss": 1.1331,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 2.0145631067961167,
|
741 |
+
"grad_norm": 0.4344836175441742,
|
742 |
+
"learning_rate": 0.00010323818912533561,
|
743 |
+
"loss": 1.0874,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 2.0097087378640777,
|
748 |
+
"grad_norm": 0.42520374059677124,
|
749 |
+
"learning_rate": 0.00010161930688025017,
|
750 |
+
"loss": 1.1068,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 2.029126213592233,
|
755 |
+
"grad_norm": 0.3572416305541992,
|
756 |
+
"learning_rate": 0.0001,
|
757 |
+
"loss": 1.1001,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 2.0485436893203883,
|
762 |
+
"grad_norm": 0.38590529561042786,
|
763 |
+
"learning_rate": 9.838069311974986e-05,
|
764 |
+
"loss": 1.0833,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 2.0679611650485437,
|
769 |
+
"grad_norm": 0.2969411313533783,
|
770 |
+
"learning_rate": 9.676181087466444e-05,
|
771 |
+
"loss": 1.0939,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 2.087378640776699,
|
776 |
+
"grad_norm": 0.25997498631477356,
|
777 |
+
"learning_rate": 9.514377778855521e-05,
|
778 |
+
"loss": 1.1063,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 2.1067961165048543,
|
783 |
+
"grad_norm": 0.3671320676803589,
|
784 |
+
"learning_rate": 9.352701816255643e-05,
|
785 |
+
"loss": 1.103,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 2.1262135922330097,
|
790 |
+
"grad_norm": 0.552992582321167,
|
791 |
+
"learning_rate": 9.19119559638596e-05,
|
792 |
+
"loss": 1.0874,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 2.145631067961165,
|
797 |
+
"grad_norm": 0.25193411111831665,
|
798 |
+
"learning_rate": 9.02990147145352e-05,
|
799 |
+
"loss": 1.0946,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 2.1650485436893203,
|
804 |
+
"grad_norm": 0.33370667695999146,
|
805 |
+
"learning_rate": 8.868861738047158e-05,
|
806 |
+
"loss": 1.1108,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 2.1844660194174756,
|
811 |
+
"grad_norm": 0.42085111141204834,
|
812 |
+
"learning_rate": 8.70811862604594e-05,
|
813 |
+
"loss": 1.0883,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 2.203883495145631,
|
818 |
+
"grad_norm": 0.40206724405288696,
|
819 |
+
"learning_rate": 8.5477142875451e-05,
|
820 |
+
"loss": 1.1006,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 2.2233009708737863,
|
825 |
+
"grad_norm": 0.3052491247653961,
|
826 |
+
"learning_rate": 8.387690785802402e-05,
|
827 |
+
"loss": 1.1155,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 2.2427184466019416,
|
832 |
+
"grad_norm": 0.42322033643722534,
|
833 |
+
"learning_rate": 8.228090084207774e-05,
|
834 |
+
"loss": 1.0929,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 2.262135922330097,
|
839 |
+
"grad_norm": 0.5083087682723999,
|
840 |
+
"learning_rate": 8.068954035279121e-05,
|
841 |
+
"loss": 1.122,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 2.2815533980582523,
|
846 |
+
"grad_norm": 0.2693060636520386,
|
847 |
+
"learning_rate": 7.91032436968725e-05,
|
848 |
+
"loss": 1.0837,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 2.3009708737864076,
|
853 |
+
"grad_norm": 0.34834596514701843,
|
854 |
+
"learning_rate": 7.75224268531271e-05,
|
855 |
+
"loss": 1.0768,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 2.320388349514563,
|
860 |
+
"grad_norm": 0.3885416090488434,
|
861 |
+
"learning_rate": 7.594750436337467e-05,
|
862 |
+
"loss": 1.0616,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 2.3398058252427183,
|
867 |
+
"grad_norm": 0.3093293011188507,
|
868 |
+
"learning_rate": 7.437888922374276e-05,
|
869 |
+
"loss": 1.0799,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 2.3592233009708736,
|
874 |
+
"grad_norm": 0.4098259210586548,
|
875 |
+
"learning_rate": 7.281699277636572e-05,
|
876 |
+
"loss": 1.1184,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 2.378640776699029,
|
881 |
+
"grad_norm": 0.29187697172164917,
|
882 |
+
"learning_rate": 7.126222460151719e-05,
|
883 |
+
"loss": 1.0883,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.3980582524271843,
|
888 |
+
"grad_norm": 0.3151191174983978,
|
889 |
+
"learning_rate": 6.971499241020495e-05,
|
890 |
+
"loss": 1.0692,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.4174757281553396,
|
895 |
+
"grad_norm": 0.3117734491825104,
|
896 |
+
"learning_rate": 6.817570193725564e-05,
|
897 |
+
"loss": 1.0926,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 2.436893203883495,
|
902 |
+
"grad_norm": 0.25921401381492615,
|
903 |
+
"learning_rate": 6.664475683491796e-05,
|
904 |
+
"loss": 1.0707,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 2.4563106796116507,
|
909 |
+
"grad_norm": 0.31505605578422546,
|
910 |
+
"learning_rate": 6.512255856701177e-05,
|
911 |
+
"loss": 1.0988,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 2.475728155339806,
|
916 |
+
"grad_norm": 0.25132912397384644,
|
917 |
+
"learning_rate": 6.360950630365126e-05,
|
918 |
+
"loss": 1.0726,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 2.4951456310679614,
|
923 |
+
"grad_norm": 0.2596098780632019,
|
924 |
+
"learning_rate": 6.210599681656933e-05,
|
925 |
+
"loss": 1.1138,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 2.5145631067961167,
|
930 |
+
"grad_norm": 0.24262911081314087,
|
931 |
+
"learning_rate": 6.061242437507131e-05,
|
932 |
+
"loss": 1.0759,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 2.533980582524272,
|
937 |
+
"grad_norm": 0.29739508032798767,
|
938 |
+
"learning_rate": 5.9129180642644414e-05,
|
939 |
+
"loss": 1.082,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 2.5533980582524274,
|
944 |
+
"grad_norm": 0.32182446122169495,
|
945 |
+
"learning_rate": 5.765665457425102e-05,
|
946 |
+
"loss": 1.0698,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 2.5728155339805827,
|
951 |
+
"grad_norm": 0.3175111711025238,
|
952 |
+
"learning_rate": 5.6195232314331766e-05,
|
953 |
+
"loss": 1.099,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 2.592233009708738,
|
958 |
+
"grad_norm": 0.34597843885421753,
|
959 |
+
"learning_rate": 5.474529709554612e-05,
|
960 |
+
"loss": 1.0971,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 2.6116504854368934,
|
965 |
+
"grad_norm": 0.2773433327674866,
|
966 |
+
"learning_rate": 5.3307229138275936e-05,
|
967 |
+
"loss": 1.0747,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 2.6310679611650487,
|
972 |
+
"grad_norm": 0.3997284770011902,
|
973 |
+
"learning_rate": 5.1881405550919493e-05,
|
974 |
+
"loss": 1.0579,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.650485436893204,
|
979 |
+
"grad_norm": 0.3829750716686249,
|
980 |
+
"learning_rate": 5.0468200231001286e-05,
|
981 |
+
"loss": 1.0671,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 2.6699029126213594,
|
986 |
+
"grad_norm": 0.2364608198404312,
|
987 |
+
"learning_rate": 4.9067983767123736e-05,
|
988 |
+
"loss": 1.0739,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 2.6893203883495147,
|
993 |
+
"grad_norm": 0.29015663266181946,
|
994 |
+
"learning_rate": 4.768112334178699e-05,
|
995 |
+
"loss": 1.0626,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.70873786407767,
|
1000 |
+
"grad_norm": 0.39254897832870483,
|
1001 |
+
"learning_rate": 4.630798263510162e-05,
|
1002 |
+
"loss": 1.0648,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 2.7281553398058254,
|
1007 |
+
"grad_norm": 0.42674142122268677,
|
1008 |
+
"learning_rate": 4.494892172941965e-05,
|
1009 |
+
"loss": 1.1137,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.7475728155339807,
|
1014 |
+
"grad_norm": 0.4450013041496277,
|
1015 |
+
"learning_rate": 4.360429701490934e-05,
|
1016 |
+
"loss": 1.1096,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 2.766990291262136,
|
1021 |
+
"grad_norm": 0.333667516708374,
|
1022 |
+
"learning_rate": 4.227446109609809e-05,
|
1023 |
+
"loss": 1.0758,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 2.7864077669902914,
|
1028 |
+
"grad_norm": 0.4920090436935425,
|
1029 |
+
"learning_rate": 4.0959762699407766e-05,
|
1030 |
+
"loss": 1.0698,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 2.8058252427184467,
|
1035 |
+
"grad_norm": 0.31687042117118835,
|
1036 |
+
"learning_rate": 3.966054658170754e-05,
|
1037 |
+
"loss": 1.0901,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 2.825242718446602,
|
1042 |
+
"grad_norm": 0.3884165585041046,
|
1043 |
+
"learning_rate": 3.8377153439907266e-05,
|
1044 |
+
"loss": 1.0753,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 2.8446601941747574,
|
1049 |
+
"grad_norm": 0.41056135296821594,
|
1050 |
+
"learning_rate": 3.710991982161555e-05,
|
1051 |
+
"loss": 1.1145,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.8640776699029127,
|
1056 |
+
"grad_norm": 0.32460349798202515,
|
1057 |
+
"learning_rate": 3.585917803688603e-05,
|
1058 |
+
"loss": 1.0716,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 2.883495145631068,
|
1063 |
+
"grad_norm": 0.3436354994773865,
|
1064 |
+
"learning_rate": 3.4625256071074773e-05,
|
1065 |
+
"loss": 1.0995,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 2.9029126213592233,
|
1070 |
+
"grad_norm": 0.29039478302001953,
|
1071 |
+
"learning_rate": 3.340847749883191e-05,
|
1072 |
+
"loss": 1.058,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 2.9223300970873787,
|
1077 |
+
"grad_norm": 0.2641606330871582,
|
1078 |
+
"learning_rate": 3.2209161399249674e-05,
|
1079 |
+
"loss": 1.0705,
|
1080 |
+
"step": 153
|
1081 |
+
}
|
1082 |
+
],
|
1083 |
+
"logging_steps": 1,
|
1084 |
+
"max_steps": 204,
|
1085 |
+
"num_input_tokens_seen": 0,
|
1086 |
+
"num_train_epochs": 4,
|
1087 |
+
"save_steps": 51,
|
1088 |
+
"total_flos": 3.182608847260877e+16,
|
1089 |
+
"train_batch_size": 2,
|
1090 |
+
"trial_name": null,
|
1091 |
+
"trial_params": null
|
1092 |
+
}
|
checkpoint-153/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c5137d02e04a9e9bac65c98c789ae039033678d1581c7bd7d88ddb181436aa56
|
3 |
+
size 5816
|
checkpoint-204/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-204/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"k_proj",
|
25 |
+
"up_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"down_proj",
|
28 |
+
"o_proj",
|
29 |
+
"q_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-204/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1818d92e227b78a4a8293d5066c8c9807353aedab7b4abeaf3002ecd014de713
|
3 |
+
size 100966336
|
checkpoint-204/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2e82e3dbdec46891523e379c84248451f5dde88a32e8cf0fc92b9753b76571b4
|
3 |
+
size 50916644
|
checkpoint-204/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c9fe480ac13f8022b76fbc5cc6956619acdfb8de57acaa1824e71f8913646416
|
3 |
+
size 14244
|
checkpoint-204/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a406cab4a7a12737eda7c59d60db0c008bffa82de17f2878810f2d4cedd3d1ef
|
3 |
+
size 1064
|
checkpoint-204/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-204/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-204/tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": "</s>",
|
37 |
+
"padding_side": "right",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false,
|
43 |
+
"use_fast": true
|
44 |
+
}
|
checkpoint-204/trainer_state.json
ADDED
@@ -0,0 +1,1449 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.8883495145631066,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 204,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.019417475728155338,
|
13 |
+
"grad_norm": 6.841878890991211,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 4.5864,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.038834951456310676,
|
20 |
+
"grad_norm": 6.640402793884277,
|
21 |
+
"learning_rate": 4e-05,
|
22 |
+
"loss": 4.6138,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05825242718446602,
|
27 |
+
"grad_norm": 6.41209077835083,
|
28 |
+
"learning_rate": 6e-05,
|
29 |
+
"loss": 4.6064,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.07766990291262135,
|
34 |
+
"grad_norm": 6.082383632659912,
|
35 |
+
"learning_rate": 8e-05,
|
36 |
+
"loss": 4.5534,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0970873786407767,
|
41 |
+
"grad_norm": 4.00201416015625,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 4.3245,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.11650485436893204,
|
48 |
+
"grad_norm": 3.1707470417022705,
|
49 |
+
"learning_rate": 0.00012,
|
50 |
+
"loss": 4.0971,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.13592233009708737,
|
55 |
+
"grad_norm": 3.160670518875122,
|
56 |
+
"learning_rate": 0.00014,
|
57 |
+
"loss": 3.789,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.1553398058252427,
|
62 |
+
"grad_norm": 2.994746208190918,
|
63 |
+
"learning_rate": 0.00016,
|
64 |
+
"loss": 3.3244,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.17475728155339806,
|
69 |
+
"grad_norm": 2.6664786338806152,
|
70 |
+
"learning_rate": 0.00018,
|
71 |
+
"loss": 2.8561,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1941747572815534,
|
76 |
+
"grad_norm": 2.029910087585449,
|
77 |
+
"learning_rate": 0.0002,
|
78 |
+
"loss": 2.3926,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.21359223300970873,
|
83 |
+
"grad_norm": 1.3144137859344482,
|
84 |
+
"learning_rate": 0.00019998688836656323,
|
85 |
+
"loss": 2.0283,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.23300970873786409,
|
90 |
+
"grad_norm": 0.8263471722602844,
|
91 |
+
"learning_rate": 0.00019994755690455152,
|
92 |
+
"loss": 1.8683,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.2524271844660194,
|
97 |
+
"grad_norm": 0.7193414568901062,
|
98 |
+
"learning_rate": 0.0001998820159279591,
|
99 |
+
"loss": 1.732,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.27184466019417475,
|
104 |
+
"grad_norm": 0.8350910544395447,
|
105 |
+
"learning_rate": 0.00019979028262377118,
|
106 |
+
"loss": 1.6208,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2912621359223301,
|
111 |
+
"grad_norm": 0.6700139045715332,
|
112 |
+
"learning_rate": 0.00019967238104745696,
|
113 |
+
"loss": 1.493,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.3106796116504854,
|
118 |
+
"grad_norm": 1.1213518381118774,
|
119 |
+
"learning_rate": 0.0001995283421166614,
|
120 |
+
"loss": 1.4857,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.3300970873786408,
|
125 |
+
"grad_norm": 0.7505896687507629,
|
126 |
+
"learning_rate": 0.00019935820360309777,
|
127 |
+
"loss": 1.4643,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.34951456310679613,
|
132 |
+
"grad_norm": 0.6984190940856934,
|
133 |
+
"learning_rate": 0.00019916201012264254,
|
134 |
+
"loss": 1.4227,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.36893203883495146,
|
139 |
+
"grad_norm": 0.46819525957107544,
|
140 |
+
"learning_rate": 0.00019893981312363562,
|
141 |
+
"loss": 1.3889,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.3883495145631068,
|
146 |
+
"grad_norm": 0.5214670300483704,
|
147 |
+
"learning_rate": 0.00019869167087338907,
|
148 |
+
"loss": 1.3764,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.4077669902912621,
|
153 |
+
"grad_norm": 0.43329402804374695,
|
154 |
+
"learning_rate": 0.00019841764844290744,
|
155 |
+
"loss": 1.351,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.42718446601941745,
|
160 |
+
"grad_norm": 0.6535053253173828,
|
161 |
+
"learning_rate": 0.0001981178176898239,
|
162 |
+
"loss": 1.3576,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.44660194174757284,
|
167 |
+
"grad_norm": 0.6363189816474915,
|
168 |
+
"learning_rate": 0.00019779225723955707,
|
169 |
+
"loss": 1.3159,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.46601941747572817,
|
174 |
+
"grad_norm": 0.42140620946884155,
|
175 |
+
"learning_rate": 0.00019744105246469263,
|
176 |
+
"loss": 1.3072,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4854368932038835,
|
181 |
+
"grad_norm": 0.6757440567016602,
|
182 |
+
"learning_rate": 0.00019706429546259593,
|
183 |
+
"loss": 1.3261,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.5048543689320388,
|
188 |
+
"grad_norm": 0.4116632044315338,
|
189 |
+
"learning_rate": 0.00019666208503126112,
|
190 |
+
"loss": 1.317,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.5242718446601942,
|
195 |
+
"grad_norm": 0.5359898209571838,
|
196 |
+
"learning_rate": 0.00019623452664340306,
|
197 |
+
"loss": 1.2932,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.5436893203883495,
|
202 |
+
"grad_norm": 0.4596949517726898,
|
203 |
+
"learning_rate": 0.00019578173241879872,
|
204 |
+
"loss": 1.2601,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.5631067961165048,
|
209 |
+
"grad_norm": 0.6857442855834961,
|
210 |
+
"learning_rate": 0.0001953038210948861,
|
211 |
+
"loss": 1.2734,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.5825242718446602,
|
216 |
+
"grad_norm": 0.4453957676887512,
|
217 |
+
"learning_rate": 0.00019480091799562704,
|
218 |
+
"loss": 1.2521,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.6019417475728155,
|
223 |
+
"grad_norm": 0.6118847131729126,
|
224 |
+
"learning_rate": 0.00019427315499864344,
|
225 |
+
"loss": 1.2252,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.6213592233009708,
|
230 |
+
"grad_norm": 0.4894339442253113,
|
231 |
+
"learning_rate": 0.00019372067050063438,
|
232 |
+
"loss": 1.2369,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.6407766990291263,
|
237 |
+
"grad_norm": 0.5901785492897034,
|
238 |
+
"learning_rate": 0.00019314360938108425,
|
239 |
+
"loss": 1.2507,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.6601941747572816,
|
244 |
+
"grad_norm": 0.4147897958755493,
|
245 |
+
"learning_rate": 0.00019254212296427044,
|
246 |
+
"loss": 1.2454,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.6796116504854369,
|
251 |
+
"grad_norm": 0.2836126685142517,
|
252 |
+
"learning_rate": 0.00019191636897958122,
|
253 |
+
"loss": 1.2515,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.6990291262135923,
|
258 |
+
"grad_norm": 0.4523944556713104,
|
259 |
+
"learning_rate": 0.00019126651152015403,
|
260 |
+
"loss": 1.2217,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.7184466019417476,
|
265 |
+
"grad_norm": 0.4187013804912567,
|
266 |
+
"learning_rate": 0.0001905927209998447,
|
267 |
+
"loss": 1.2382,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.7378640776699029,
|
272 |
+
"grad_norm": 0.516381561756134,
|
273 |
+
"learning_rate": 0.00018989517410853955,
|
274 |
+
"loss": 1.2214,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.7572815533980582,
|
279 |
+
"grad_norm": 0.5928078889846802,
|
280 |
+
"learning_rate": 0.00018917405376582145,
|
281 |
+
"loss": 1.2407,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.7766990291262136,
|
286 |
+
"grad_norm": 0.4062119722366333,
|
287 |
+
"learning_rate": 0.00018842954907300236,
|
288 |
+
"loss": 1.1958,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.7961165048543689,
|
293 |
+
"grad_norm": 0.5966278910636902,
|
294 |
+
"learning_rate": 0.0001876618552635348,
|
295 |
+
"loss": 1.2043,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.8155339805825242,
|
300 |
+
"grad_norm": 0.47196483612060547,
|
301 |
+
"learning_rate": 0.00018687117365181512,
|
302 |
+
"loss": 1.2321,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.8349514563106796,
|
307 |
+
"grad_norm": 0.6465126872062683,
|
308 |
+
"learning_rate": 0.00018605771158039253,
|
309 |
+
"loss": 1.1996,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.8543689320388349,
|
314 |
+
"grad_norm": 0.4234643578529358,
|
315 |
+
"learning_rate": 0.00018522168236559695,
|
316 |
+
"loss": 1.198,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.8737864077669902,
|
321 |
+
"grad_norm": 0.3910824656486511,
|
322 |
+
"learning_rate": 0.00018436330524160047,
|
323 |
+
"loss": 1.1895,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.8932038834951457,
|
328 |
+
"grad_norm": 0.5380635261535645,
|
329 |
+
"learning_rate": 0.00018348280530292713,
|
330 |
+
"loss": 1.1693,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.912621359223301,
|
335 |
+
"grad_norm": 0.31823453307151794,
|
336 |
+
"learning_rate": 0.00018258041344542566,
|
337 |
+
"loss": 1.159,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.9320388349514563,
|
342 |
+
"grad_norm": 0.5679419636726379,
|
343 |
+
"learning_rate": 0.0001816563663057211,
|
344 |
+
"loss": 1.1931,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.9514563106796117,
|
349 |
+
"grad_norm": 0.3980861008167267,
|
350 |
+
"learning_rate": 0.00018071090619916093,
|
351 |
+
"loss": 1.1826,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.970873786407767,
|
356 |
+
"grad_norm": 0.3688671588897705,
|
357 |
+
"learning_rate": 0.00017974428105627208,
|
358 |
+
"loss": 1.176,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.9902912621359223,
|
363 |
+
"grad_norm": 0.4137047827243805,
|
364 |
+
"learning_rate": 0.00017875674435774547,
|
365 |
+
"loss": 1.142,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 1.0097087378640777,
|
370 |
+
"grad_norm": 0.3141655921936035,
|
371 |
+
"learning_rate": 0.00017774855506796496,
|
372 |
+
"loss": 1.1614,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 1.0048543689320388,
|
377 |
+
"grad_norm": 0.3113202154636383,
|
378 |
+
"learning_rate": 0.00017671997756709863,
|
379 |
+
"loss": 1.1668,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.0242718446601942,
|
384 |
+
"grad_norm": 0.5369274616241455,
|
385 |
+
"learning_rate": 0.00017567128158176953,
|
386 |
+
"loss": 1.1157,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.0436893203883495,
|
391 |
+
"grad_norm": 0.550740122795105,
|
392 |
+
"learning_rate": 0.0001746027421143246,
|
393 |
+
"loss": 1.1674,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.0631067961165048,
|
398 |
+
"grad_norm": 0.4507598578929901,
|
399 |
+
"learning_rate": 0.00017351463937072004,
|
400 |
+
"loss": 1.1484,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.0825242718446602,
|
405 |
+
"grad_norm": 0.5626426935195923,
|
406 |
+
"learning_rate": 0.00017240725868704218,
|
407 |
+
"loss": 1.1614,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.1019417475728155,
|
412 |
+
"grad_norm": 0.36562928557395935,
|
413 |
+
"learning_rate": 0.00017128089045468294,
|
414 |
+
"loss": 1.1246,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 1.1213592233009708,
|
419 |
+
"grad_norm": 0.6106365323066711,
|
420 |
+
"learning_rate": 0.00017013583004418993,
|
421 |
+
"loss": 1.141,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.1407766990291262,
|
426 |
+
"grad_norm": 0.3751409947872162,
|
427 |
+
"learning_rate": 0.00016897237772781044,
|
428 |
+
"loss": 1.1565,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.1601941747572815,
|
433 |
+
"grad_norm": 0.5318562984466553,
|
434 |
+
"learning_rate": 0.00016779083860075033,
|
435 |
+
"loss": 1.1501,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.1796116504854368,
|
440 |
+
"grad_norm": 0.3675023317337036,
|
441 |
+
"learning_rate": 0.00016659152250116812,
|
442 |
+
"loss": 1.1162,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.1990291262135921,
|
447 |
+
"grad_norm": 0.38894137740135193,
|
448 |
+
"learning_rate": 0.00016537474392892528,
|
449 |
+
"loss": 1.146,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.2184466019417475,
|
454 |
+
"grad_norm": 0.3107282817363739,
|
455 |
+
"learning_rate": 0.000164140821963114,
|
456 |
+
"loss": 1.135,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.237864077669903,
|
461 |
+
"grad_norm": 0.2496870756149292,
|
462 |
+
"learning_rate": 0.00016289008017838445,
|
463 |
+
"loss": 1.133,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.2572815533980584,
|
468 |
+
"grad_norm": 0.35233214497566223,
|
469 |
+
"learning_rate": 0.00016162284656009274,
|
470 |
+
"loss": 1.1446,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.2766990291262137,
|
475 |
+
"grad_norm": 0.33078905940055847,
|
476 |
+
"learning_rate": 0.00016033945341829248,
|
477 |
+
"loss": 1.1077,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.296116504854369,
|
482 |
+
"grad_norm": 0.24236944317817688,
|
483 |
+
"learning_rate": 0.00015904023730059228,
|
484 |
+
"loss": 1.1367,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.3155339805825244,
|
489 |
+
"grad_norm": 0.3248869776725769,
|
490 |
+
"learning_rate": 0.00015772553890390197,
|
491 |
+
"loss": 1.1405,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.3349514563106797,
|
496 |
+
"grad_norm": 0.3145497739315033,
|
497 |
+
"learning_rate": 0.00015639570298509064,
|
498 |
+
"loss": 1.1134,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.354368932038835,
|
503 |
+
"grad_norm": 0.3858337700366974,
|
504 |
+
"learning_rate": 0.00015505107827058036,
|
505 |
+
"loss": 1.1293,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.3737864077669903,
|
510 |
+
"grad_norm": 0.3683490753173828,
|
511 |
+
"learning_rate": 0.0001536920173648984,
|
512 |
+
"loss": 1.1069,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.3932038834951457,
|
517 |
+
"grad_norm": 0.5532976388931274,
|
518 |
+
"learning_rate": 0.000152318876658213,
|
519 |
+
"loss": 1.1432,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.412621359223301,
|
524 |
+
"grad_norm": 0.3198872208595276,
|
525 |
+
"learning_rate": 0.00015093201623287631,
|
526 |
+
"loss": 1.1423,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.4320388349514563,
|
531 |
+
"grad_norm": 0.7470155954360962,
|
532 |
+
"learning_rate": 0.00014953179976899878,
|
533 |
+
"loss": 1.1475,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.4514563106796117,
|
538 |
+
"grad_norm": 0.4092984199523926,
|
539 |
+
"learning_rate": 0.00014811859444908052,
|
540 |
+
"loss": 1.0955,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.470873786407767,
|
545 |
+
"grad_norm": 0.6536680459976196,
|
546 |
+
"learning_rate": 0.00014669277086172406,
|
547 |
+
"loss": 1.1359,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.4902912621359223,
|
552 |
+
"grad_norm": 0.35692015290260315,
|
553 |
+
"learning_rate": 0.00014525470290445392,
|
554 |
+
"loss": 1.1131,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.5097087378640777,
|
559 |
+
"grad_norm": 0.46786415576934814,
|
560 |
+
"learning_rate": 0.00014380476768566824,
|
561 |
+
"loss": 1.1133,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.529126213592233,
|
566 |
+
"grad_norm": 0.6847173571586609,
|
567 |
+
"learning_rate": 0.00014234334542574906,
|
568 |
+
"loss": 1.125,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.5485436893203883,
|
573 |
+
"grad_norm": 0.5090566277503967,
|
574 |
+
"learning_rate": 0.00014087081935735564,
|
575 |
+
"loss": 1.1562,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.5679611650485437,
|
580 |
+
"grad_norm": 0.7293880581855774,
|
581 |
+
"learning_rate": 0.00013938757562492873,
|
582 |
+
"loss": 1.1348,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.587378640776699,
|
587 |
+
"grad_norm": 0.3536413908004761,
|
588 |
+
"learning_rate": 0.00013789400318343068,
|
589 |
+
"loss": 1.1134,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.6067961165048543,
|
594 |
+
"grad_norm": 0.802762508392334,
|
595 |
+
"learning_rate": 0.00013639049369634876,
|
596 |
+
"loss": 1.1256,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.6262135922330097,
|
601 |
+
"grad_norm": 0.27904102206230164,
|
602 |
+
"learning_rate": 0.00013487744143298822,
|
603 |
+
"loss": 1.1367,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.645631067961165,
|
608 |
+
"grad_norm": 0.6024283170700073,
|
609 |
+
"learning_rate": 0.00013335524316508208,
|
610 |
+
"loss": 1.1174,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.6650485436893203,
|
615 |
+
"grad_norm": 0.5118915438652039,
|
616 |
+
"learning_rate": 0.0001318242980627444,
|
617 |
+
"loss": 1.0848,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.6844660194174756,
|
622 |
+
"grad_norm": 0.3924892544746399,
|
623 |
+
"learning_rate": 0.00013028500758979506,
|
624 |
+
"loss": 1.1114,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.703883495145631,
|
629 |
+
"grad_norm": 0.4876178801059723,
|
630 |
+
"learning_rate": 0.00012873777539848283,
|
631 |
+
"loss": 1.1303,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.7233009708737863,
|
636 |
+
"grad_norm": 0.4133356809616089,
|
637 |
+
"learning_rate": 0.0001271830072236343,
|
638 |
+
"loss": 1.0894,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.7427184466019416,
|
643 |
+
"grad_norm": 0.42908573150634766,
|
644 |
+
"learning_rate": 0.00012562111077625722,
|
645 |
+
"loss": 1.0806,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.762135922330097,
|
650 |
+
"grad_norm": 0.5923053026199341,
|
651 |
+
"learning_rate": 0.00012405249563662537,
|
652 |
+
"loss": 1.1254,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.7815533980582523,
|
657 |
+
"grad_norm": 0.34368380904197693,
|
658 |
+
"learning_rate": 0.00012247757314687297,
|
659 |
+
"loss": 1.1251,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.8009708737864076,
|
664 |
+
"grad_norm": 0.6336709856987,
|
665 |
+
"learning_rate": 0.00012089675630312754,
|
666 |
+
"loss": 1.1042,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.820388349514563,
|
671 |
+
"grad_norm": 0.32966285943984985,
|
672 |
+
"learning_rate": 0.00011931045964720881,
|
673 |
+
"loss": 1.09,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.8398058252427183,
|
678 |
+
"grad_norm": 0.42973244190216064,
|
679 |
+
"learning_rate": 0.0001177190991579223,
|
680 |
+
"loss": 1.0896,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.8592233009708736,
|
685 |
+
"grad_norm": 0.5365500450134277,
|
686 |
+
"learning_rate": 0.00011612309214197599,
|
687 |
+
"loss": 1.1281,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.8786407766990292,
|
692 |
+
"grad_norm": 0.4330235421657562,
|
693 |
+
"learning_rate": 0.00011452285712454904,
|
694 |
+
"loss": 1.087,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.8980582524271845,
|
699 |
+
"grad_norm": 0.47839391231536865,
|
700 |
+
"learning_rate": 0.00011291881373954065,
|
701 |
+
"loss": 1.0967,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.9174757281553398,
|
706 |
+
"grad_norm": 0.27464163303375244,
|
707 |
+
"learning_rate": 0.00011131138261952845,
|
708 |
+
"loss": 1.0981,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.9368932038834952,
|
713 |
+
"grad_norm": 0.41849982738494873,
|
714 |
+
"learning_rate": 0.00010970098528546481,
|
715 |
+
"loss": 1.1203,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.9563106796116505,
|
720 |
+
"grad_norm": 0.4630599915981293,
|
721 |
+
"learning_rate": 0.00010808804403614043,
|
722 |
+
"loss": 1.1224,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.9757281553398058,
|
727 |
+
"grad_norm": 0.34116509556770325,
|
728 |
+
"learning_rate": 0.00010647298183744359,
|
729 |
+
"loss": 1.0871,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 1.9951456310679612,
|
734 |
+
"grad_norm": 0.4391232430934906,
|
735 |
+
"learning_rate": 0.00010485622221144484,
|
736 |
+
"loss": 1.1331,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 2.0145631067961167,
|
741 |
+
"grad_norm": 0.4344836175441742,
|
742 |
+
"learning_rate": 0.00010323818912533561,
|
743 |
+
"loss": 1.0874,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 2.0097087378640777,
|
748 |
+
"grad_norm": 0.42520374059677124,
|
749 |
+
"learning_rate": 0.00010161930688025017,
|
750 |
+
"loss": 1.1068,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 2.029126213592233,
|
755 |
+
"grad_norm": 0.3572416305541992,
|
756 |
+
"learning_rate": 0.0001,
|
757 |
+
"loss": 1.1001,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 2.0485436893203883,
|
762 |
+
"grad_norm": 0.38590529561042786,
|
763 |
+
"learning_rate": 9.838069311974986e-05,
|
764 |
+
"loss": 1.0833,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 2.0679611650485437,
|
769 |
+
"grad_norm": 0.2969411313533783,
|
770 |
+
"learning_rate": 9.676181087466444e-05,
|
771 |
+
"loss": 1.0939,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 2.087378640776699,
|
776 |
+
"grad_norm": 0.25997498631477356,
|
777 |
+
"learning_rate": 9.514377778855521e-05,
|
778 |
+
"loss": 1.1063,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 2.1067961165048543,
|
783 |
+
"grad_norm": 0.3671320676803589,
|
784 |
+
"learning_rate": 9.352701816255643e-05,
|
785 |
+
"loss": 1.103,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 2.1262135922330097,
|
790 |
+
"grad_norm": 0.552992582321167,
|
791 |
+
"learning_rate": 9.19119559638596e-05,
|
792 |
+
"loss": 1.0874,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 2.145631067961165,
|
797 |
+
"grad_norm": 0.25193411111831665,
|
798 |
+
"learning_rate": 9.02990147145352e-05,
|
799 |
+
"loss": 1.0946,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 2.1650485436893203,
|
804 |
+
"grad_norm": 0.33370667695999146,
|
805 |
+
"learning_rate": 8.868861738047158e-05,
|
806 |
+
"loss": 1.1108,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 2.1844660194174756,
|
811 |
+
"grad_norm": 0.42085111141204834,
|
812 |
+
"learning_rate": 8.70811862604594e-05,
|
813 |
+
"loss": 1.0883,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 2.203883495145631,
|
818 |
+
"grad_norm": 0.40206724405288696,
|
819 |
+
"learning_rate": 8.5477142875451e-05,
|
820 |
+
"loss": 1.1006,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 2.2233009708737863,
|
825 |
+
"grad_norm": 0.3052491247653961,
|
826 |
+
"learning_rate": 8.387690785802402e-05,
|
827 |
+
"loss": 1.1155,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 2.2427184466019416,
|
832 |
+
"grad_norm": 0.42322033643722534,
|
833 |
+
"learning_rate": 8.228090084207774e-05,
|
834 |
+
"loss": 1.0929,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 2.262135922330097,
|
839 |
+
"grad_norm": 0.5083087682723999,
|
840 |
+
"learning_rate": 8.068954035279121e-05,
|
841 |
+
"loss": 1.122,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 2.2815533980582523,
|
846 |
+
"grad_norm": 0.2693060636520386,
|
847 |
+
"learning_rate": 7.91032436968725e-05,
|
848 |
+
"loss": 1.0837,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 2.3009708737864076,
|
853 |
+
"grad_norm": 0.34834596514701843,
|
854 |
+
"learning_rate": 7.75224268531271e-05,
|
855 |
+
"loss": 1.0768,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 2.320388349514563,
|
860 |
+
"grad_norm": 0.3885416090488434,
|
861 |
+
"learning_rate": 7.594750436337467e-05,
|
862 |
+
"loss": 1.0616,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 2.3398058252427183,
|
867 |
+
"grad_norm": 0.3093293011188507,
|
868 |
+
"learning_rate": 7.437888922374276e-05,
|
869 |
+
"loss": 1.0799,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 2.3592233009708736,
|
874 |
+
"grad_norm": 0.4098259210586548,
|
875 |
+
"learning_rate": 7.281699277636572e-05,
|
876 |
+
"loss": 1.1184,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 2.378640776699029,
|
881 |
+
"grad_norm": 0.29187697172164917,
|
882 |
+
"learning_rate": 7.126222460151719e-05,
|
883 |
+
"loss": 1.0883,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.3980582524271843,
|
888 |
+
"grad_norm": 0.3151191174983978,
|
889 |
+
"learning_rate": 6.971499241020495e-05,
|
890 |
+
"loss": 1.0692,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.4174757281553396,
|
895 |
+
"grad_norm": 0.3117734491825104,
|
896 |
+
"learning_rate": 6.817570193725564e-05,
|
897 |
+
"loss": 1.0926,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 2.436893203883495,
|
902 |
+
"grad_norm": 0.25921401381492615,
|
903 |
+
"learning_rate": 6.664475683491796e-05,
|
904 |
+
"loss": 1.0707,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 2.4563106796116507,
|
909 |
+
"grad_norm": 0.31505605578422546,
|
910 |
+
"learning_rate": 6.512255856701177e-05,
|
911 |
+
"loss": 1.0988,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 2.475728155339806,
|
916 |
+
"grad_norm": 0.25132912397384644,
|
917 |
+
"learning_rate": 6.360950630365126e-05,
|
918 |
+
"loss": 1.0726,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 2.4951456310679614,
|
923 |
+
"grad_norm": 0.2596098780632019,
|
924 |
+
"learning_rate": 6.210599681656933e-05,
|
925 |
+
"loss": 1.1138,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 2.5145631067961167,
|
930 |
+
"grad_norm": 0.24262911081314087,
|
931 |
+
"learning_rate": 6.061242437507131e-05,
|
932 |
+
"loss": 1.0759,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 2.533980582524272,
|
937 |
+
"grad_norm": 0.29739508032798767,
|
938 |
+
"learning_rate": 5.9129180642644414e-05,
|
939 |
+
"loss": 1.082,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 2.5533980582524274,
|
944 |
+
"grad_norm": 0.32182446122169495,
|
945 |
+
"learning_rate": 5.765665457425102e-05,
|
946 |
+
"loss": 1.0698,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 2.5728155339805827,
|
951 |
+
"grad_norm": 0.3175111711025238,
|
952 |
+
"learning_rate": 5.6195232314331766e-05,
|
953 |
+
"loss": 1.099,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 2.592233009708738,
|
958 |
+
"grad_norm": 0.34597843885421753,
|
959 |
+
"learning_rate": 5.474529709554612e-05,
|
960 |
+
"loss": 1.0971,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 2.6116504854368934,
|
965 |
+
"grad_norm": 0.2773433327674866,
|
966 |
+
"learning_rate": 5.3307229138275936e-05,
|
967 |
+
"loss": 1.0747,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 2.6310679611650487,
|
972 |
+
"grad_norm": 0.3997284770011902,
|
973 |
+
"learning_rate": 5.1881405550919493e-05,
|
974 |
+
"loss": 1.0579,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.650485436893204,
|
979 |
+
"grad_norm": 0.3829750716686249,
|
980 |
+
"learning_rate": 5.0468200231001286e-05,
|
981 |
+
"loss": 1.0671,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 2.6699029126213594,
|
986 |
+
"grad_norm": 0.2364608198404312,
|
987 |
+
"learning_rate": 4.9067983767123736e-05,
|
988 |
+
"loss": 1.0739,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 2.6893203883495147,
|
993 |
+
"grad_norm": 0.29015663266181946,
|
994 |
+
"learning_rate": 4.768112334178699e-05,
|
995 |
+
"loss": 1.0626,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.70873786407767,
|
1000 |
+
"grad_norm": 0.39254897832870483,
|
1001 |
+
"learning_rate": 4.630798263510162e-05,
|
1002 |
+
"loss": 1.0648,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 2.7281553398058254,
|
1007 |
+
"grad_norm": 0.42674142122268677,
|
1008 |
+
"learning_rate": 4.494892172941965e-05,
|
1009 |
+
"loss": 1.1137,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.7475728155339807,
|
1014 |
+
"grad_norm": 0.4450013041496277,
|
1015 |
+
"learning_rate": 4.360429701490934e-05,
|
1016 |
+
"loss": 1.1096,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 2.766990291262136,
|
1021 |
+
"grad_norm": 0.333667516708374,
|
1022 |
+
"learning_rate": 4.227446109609809e-05,
|
1023 |
+
"loss": 1.0758,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 2.7864077669902914,
|
1028 |
+
"grad_norm": 0.4920090436935425,
|
1029 |
+
"learning_rate": 4.0959762699407766e-05,
|
1030 |
+
"loss": 1.0698,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 2.8058252427184467,
|
1035 |
+
"grad_norm": 0.31687042117118835,
|
1036 |
+
"learning_rate": 3.966054658170754e-05,
|
1037 |
+
"loss": 1.0901,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 2.825242718446602,
|
1042 |
+
"grad_norm": 0.3884165585041046,
|
1043 |
+
"learning_rate": 3.8377153439907266e-05,
|
1044 |
+
"loss": 1.0753,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 2.8446601941747574,
|
1049 |
+
"grad_norm": 0.41056135296821594,
|
1050 |
+
"learning_rate": 3.710991982161555e-05,
|
1051 |
+
"loss": 1.1145,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.8640776699029127,
|
1056 |
+
"grad_norm": 0.32460349798202515,
|
1057 |
+
"learning_rate": 3.585917803688603e-05,
|
1058 |
+
"loss": 1.0716,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 2.883495145631068,
|
1063 |
+
"grad_norm": 0.3436354994773865,
|
1064 |
+
"learning_rate": 3.4625256071074773e-05,
|
1065 |
+
"loss": 1.0995,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 2.9029126213592233,
|
1070 |
+
"grad_norm": 0.29039478302001953,
|
1071 |
+
"learning_rate": 3.340847749883191e-05,
|
1072 |
+
"loss": 1.058,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 2.9223300970873787,
|
1077 |
+
"grad_norm": 0.2641606330871582,
|
1078 |
+
"learning_rate": 3.2209161399249674e-05,
|
1079 |
+
"loss": 1.0705,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.941747572815534,
|
1084 |
+
"grad_norm": 0.3594358265399933,
|
1085 |
+
"learning_rate": 3.102762227218957e-05,
|
1086 |
+
"loss": 1.0932,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 2.9611650485436893,
|
1091 |
+
"grad_norm": 0.23593547940254211,
|
1092 |
+
"learning_rate": 2.9864169955810084e-05,
|
1093 |
+
"loss": 1.0527,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 2.9805825242718447,
|
1098 |
+
"grad_norm": 0.2442445307970047,
|
1099 |
+
"learning_rate": 2.8719109545317103e-05,
|
1100 |
+
"loss": 1.0863,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 3.0,
|
1105 |
+
"grad_norm": 0.2583329677581787,
|
1106 |
+
"learning_rate": 2.759274131295787e-05,
|
1107 |
+
"loss": 1.0948,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 3.0194174757281553,
|
1112 |
+
"grad_norm": 0.3333183228969574,
|
1113 |
+
"learning_rate": 2.6485360629279987e-05,
|
1114 |
+
"loss": 1.1272,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 3.0145631067961167,
|
1119 |
+
"grad_norm": 0.34542328119277954,
|
1120 |
+
"learning_rate": 2.5397257885675397e-05,
|
1121 |
+
"loss": 1.0788,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 3.033980582524272,
|
1126 |
+
"grad_norm": 0.23096761107444763,
|
1127 |
+
"learning_rate": 2.432871841823047e-05,
|
1128 |
+
"loss": 1.0871,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 3.0533980582524274,
|
1133 |
+
"grad_norm": 0.24203942716121674,
|
1134 |
+
"learning_rate": 2.3280022432901383e-05,
|
1135 |
+
"loss": 1.052,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 3.0728155339805827,
|
1140 |
+
"grad_norm": 0.21322639286518097,
|
1141 |
+
"learning_rate": 2.2251444932035094e-05,
|
1142 |
+
"loss": 1.084,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 3.092233009708738,
|
1147 |
+
"grad_norm": 0.29339829087257385,
|
1148 |
+
"learning_rate": 2.1243255642254578e-05,
|
1149 |
+
"loss": 1.0899,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 3.1116504854368934,
|
1154 |
+
"grad_norm": 0.34360697865486145,
|
1155 |
+
"learning_rate": 2.025571894372794e-05,
|
1156 |
+
"loss": 1.1268,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 3.1310679611650487,
|
1161 |
+
"grad_norm": 0.30623048543930054,
|
1162 |
+
"learning_rate": 1.9289093800839066e-05,
|
1163 |
+
"loss": 1.0909,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 3.150485436893204,
|
1168 |
+
"grad_norm": 0.23241010308265686,
|
1169 |
+
"learning_rate": 1.8343633694278895e-05,
|
1170 |
+
"loss": 1.0688,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 3.1699029126213594,
|
1175 |
+
"grad_norm": 0.3101847767829895,
|
1176 |
+
"learning_rate": 1.741958655457436e-05,
|
1177 |
+
"loss": 1.036,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 3.1893203883495147,
|
1182 |
+
"grad_norm": 0.31015124917030334,
|
1183 |
+
"learning_rate": 1.65171946970729e-05,
|
1184 |
+
"loss": 1.0687,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 3.20873786407767,
|
1189 |
+
"grad_norm": 0.2729584872722626,
|
1190 |
+
"learning_rate": 1.563669475839956e-05,
|
1191 |
+
"loss": 1.0798,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 3.2281553398058254,
|
1196 |
+
"grad_norm": 0.31670236587524414,
|
1197 |
+
"learning_rate": 1.4778317634403083e-05,
|
1198 |
+
"loss": 1.0775,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 3.2475728155339807,
|
1203 |
+
"grad_norm": 0.319918692111969,
|
1204 |
+
"learning_rate": 1.3942288419607475e-05,
|
1205 |
+
"loss": 1.0666,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 3.266990291262136,
|
1210 |
+
"grad_norm": 0.2893763482570648,
|
1211 |
+
"learning_rate": 1.3128826348184887e-05,
|
1212 |
+
"loss": 1.0665,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 3.2864077669902914,
|
1217 |
+
"grad_norm": 0.2631440758705139,
|
1218 |
+
"learning_rate": 1.233814473646524e-05,
|
1219 |
+
"loss": 1.059,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 3.3058252427184467,
|
1224 |
+
"grad_norm": 0.3630000948905945,
|
1225 |
+
"learning_rate": 1.1570450926997655e-05,
|
1226 |
+
"loss": 1.0832,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 3.325242718446602,
|
1231 |
+
"grad_norm": 0.26215022802352905,
|
1232 |
+
"learning_rate": 1.0825946234178574e-05,
|
1233 |
+
"loss": 1.0813,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 3.3446601941747574,
|
1238 |
+
"grad_norm": 0.31675612926483154,
|
1239 |
+
"learning_rate": 1.010482589146048e-05,
|
1240 |
+
"loss": 1.0857,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 3.3640776699029127,
|
1245 |
+
"grad_norm": 0.287594199180603,
|
1246 |
+
"learning_rate": 9.407279000155312e-06,
|
1247 |
+
"loss": 1.1148,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 3.383495145631068,
|
1252 |
+
"grad_norm": 0.24483542144298553,
|
1253 |
+
"learning_rate": 8.733488479845997e-06,
|
1254 |
+
"loss": 1.0625,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 3.4029126213592233,
|
1259 |
+
"grad_norm": 0.2373855859041214,
|
1260 |
+
"learning_rate": 8.083631020418791e-06,
|
1261 |
+
"loss": 1.083,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 3.4223300970873787,
|
1266 |
+
"grad_norm": 0.2648206055164337,
|
1267 |
+
"learning_rate": 7.457877035729588e-06,
|
1268 |
+
"loss": 1.0577,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 3.441747572815534,
|
1273 |
+
"grad_norm": 0.29279831051826477,
|
1274 |
+
"learning_rate": 6.856390618915775e-06,
|
1275 |
+
"loss": 1.0949,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 3.4611650485436893,
|
1280 |
+
"grad_norm": 0.27792996168136597,
|
1281 |
+
"learning_rate": 6.2793294993656494e-06,
|
1282 |
+
"loss": 1.0856,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 3.4805825242718447,
|
1287 |
+
"grad_norm": 0.2441776841878891,
|
1288 |
+
"learning_rate": 5.726845001356573e-06,
|
1289 |
+
"loss": 1.0374,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 3.5,
|
1294 |
+
"grad_norm": 0.2667102515697479,
|
1295 |
+
"learning_rate": 5.199082004372957e-06,
|
1296 |
+
"loss": 1.0732,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 3.5194174757281553,
|
1301 |
+
"grad_norm": 0.21864843368530273,
|
1302 |
+
"learning_rate": 4.6961789051139124e-06,
|
1303 |
+
"loss": 1.0823,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 3.5388349514563107,
|
1308 |
+
"grad_norm": 0.21724966168403625,
|
1309 |
+
"learning_rate": 4.2182675812012965e-06,
|
1310 |
+
"loss": 1.0892,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 3.558252427184466,
|
1315 |
+
"grad_norm": 0.2550470530986786,
|
1316 |
+
"learning_rate": 3.7654733565969826e-06,
|
1317 |
+
"loss": 1.0725,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 3.5776699029126213,
|
1322 |
+
"grad_norm": 0.23086749017238617,
|
1323 |
+
"learning_rate": 3.3379149687388867e-06,
|
1324 |
+
"loss": 1.0469,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 3.5970873786407767,
|
1329 |
+
"grad_norm": 0.20026402175426483,
|
1330 |
+
"learning_rate": 2.9357045374040825e-06,
|
1331 |
+
"loss": 1.0784,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 3.616504854368932,
|
1336 |
+
"grad_norm": 0.2986784875392914,
|
1337 |
+
"learning_rate": 2.5589475353073988e-06,
|
1338 |
+
"loss": 1.0751,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 3.6359223300970873,
|
1343 |
+
"grad_norm": 0.2252379208803177,
|
1344 |
+
"learning_rate": 2.2077427604429433e-06,
|
1345 |
+
"loss": 1.0802,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 3.6553398058252426,
|
1350 |
+
"grad_norm": 0.30462658405303955,
|
1351 |
+
"learning_rate": 1.882182310176095e-06,
|
1352 |
+
"loss": 1.0753,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 3.674757281553398,
|
1357 |
+
"grad_norm": 0.3177051842212677,
|
1358 |
+
"learning_rate": 1.5823515570925763e-06,
|
1359 |
+
"loss": 1.0974,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 3.6941747572815533,
|
1364 |
+
"grad_norm": 0.26043936610221863,
|
1365 |
+
"learning_rate": 1.30832912661093e-06,
|
1366 |
+
"loss": 1.0734,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 3.7135922330097086,
|
1371 |
+
"grad_norm": 0.28095176815986633,
|
1372 |
+
"learning_rate": 1.0601868763643996e-06,
|
1373 |
+
"loss": 1.029,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 3.733009708737864,
|
1378 |
+
"grad_norm": 0.25758782029151917,
|
1379 |
+
"learning_rate": 8.379898773574924e-07,
|
1380 |
+
"loss": 1.0796,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 3.7524271844660193,
|
1385 |
+
"grad_norm": 0.24343402683734894,
|
1386 |
+
"learning_rate": 6.41796396902239e-07,
|
1387 |
+
"loss": 1.0581,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 3.7718446601941746,
|
1392 |
+
"grad_norm": 0.33343780040740967,
|
1393 |
+
"learning_rate": 4.7165788333860536e-07,
|
1394 |
+
"loss": 1.0505,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 3.79126213592233,
|
1399 |
+
"grad_norm": 0.2605248987674713,
|
1400 |
+
"learning_rate": 3.2761895254306287e-07,
|
1401 |
+
"loss": 1.0766,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 3.8106796116504853,
|
1406 |
+
"grad_norm": 0.212020143866539,
|
1407 |
+
"learning_rate": 2.0971737622883515e-07,
|
1408 |
+
"loss": 1.0873,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 3.8300970873786406,
|
1413 |
+
"grad_norm": 0.22274315357208252,
|
1414 |
+
"learning_rate": 1.179840720409331e-07,
|
1415 |
+
"loss": 1.0891,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 3.849514563106796,
|
1420 |
+
"grad_norm": 0.22543945908546448,
|
1421 |
+
"learning_rate": 5.2443095448506674e-08,
|
1422 |
+
"loss": 1.0872,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 3.8689320388349513,
|
1427 |
+
"grad_norm": 0.23441745340824127,
|
1428 |
+
"learning_rate": 1.3111633436779791e-08,
|
1429 |
+
"loss": 1.063,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 3.8883495145631066,
|
1434 |
+
"grad_norm": 0.21964219212532043,
|
1435 |
+
"learning_rate": 0.0,
|
1436 |
+
"loss": 1.0592,
|
1437 |
+
"step": 204
|
1438 |
+
}
|
1439 |
+
],
|
1440 |
+
"logging_steps": 1,
|
1441 |
+
"max_steps": 204,
|
1442 |
+
"num_input_tokens_seen": 0,
|
1443 |
+
"num_train_epochs": 4,
|
1444 |
+
"save_steps": 51,
|
1445 |
+
"total_flos": 4.242610320939418e+16,
|
1446 |
+
"train_batch_size": 2,
|
1447 |
+
"trial_name": null,
|
1448 |
+
"trial_params": null
|
1449 |
+
}
|
checkpoint-204/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c5137d02e04a9e9bac65c98c789ae039033678d1581c7bd7d88ddb181436aa56
|
3 |
+
size 5816
|
checkpoint-51/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-51/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"k_proj",
|
25 |
+
"up_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"down_proj",
|
28 |
+
"o_proj",
|
29 |
+
"q_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-51/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c6b4b723e0887dfa273147b671f4a009077daa8b46adbecbb5cf38cadd073c9c
|
3 |
+
size 100966336
|
checkpoint-51/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:03d5e1aef4faa5c75566c9b333fc1fb6a8892c4f2c7f10dc7f4e05385b7ba044
|
3 |
+
size 50916644
|
checkpoint-51/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aab833cfff002e43a167eac31cfae2b8d550a6135c273d9542402c54bb8d1c89
|
3 |
+
size 14244
|
checkpoint-51/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2bd13ac134c35297ef96960e4179dd2070c464a771be236b3ecea6e530dfbef2
|
3 |
+
size 1064
|
checkpoint-51/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-51/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-51/tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": "</s>",
|
37 |
+
"padding_side": "right",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false,
|
43 |
+
"use_fast": true
|
44 |
+
}
|
checkpoint-51/trainer_state.json
ADDED
@@ -0,0 +1,378 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9902912621359223,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 51,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.019417475728155338,
|
13 |
+
"grad_norm": 6.841878890991211,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 4.5864,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.038834951456310676,
|
20 |
+
"grad_norm": 6.640402793884277,
|
21 |
+
"learning_rate": 4e-05,
|
22 |
+
"loss": 4.6138,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05825242718446602,
|
27 |
+
"grad_norm": 6.41209077835083,
|
28 |
+
"learning_rate": 6e-05,
|
29 |
+
"loss": 4.6064,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.07766990291262135,
|
34 |
+
"grad_norm": 6.082383632659912,
|
35 |
+
"learning_rate": 8e-05,
|
36 |
+
"loss": 4.5534,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0970873786407767,
|
41 |
+
"grad_norm": 4.00201416015625,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 4.3245,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.11650485436893204,
|
48 |
+
"grad_norm": 3.1707470417022705,
|
49 |
+
"learning_rate": 0.00012,
|
50 |
+
"loss": 4.0971,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.13592233009708737,
|
55 |
+
"grad_norm": 3.160670518875122,
|
56 |
+
"learning_rate": 0.00014,
|
57 |
+
"loss": 3.789,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.1553398058252427,
|
62 |
+
"grad_norm": 2.994746208190918,
|
63 |
+
"learning_rate": 0.00016,
|
64 |
+
"loss": 3.3244,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.17475728155339806,
|
69 |
+
"grad_norm": 2.6664786338806152,
|
70 |
+
"learning_rate": 0.00018,
|
71 |
+
"loss": 2.8561,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1941747572815534,
|
76 |
+
"grad_norm": 2.029910087585449,
|
77 |
+
"learning_rate": 0.0002,
|
78 |
+
"loss": 2.3926,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.21359223300970873,
|
83 |
+
"grad_norm": 1.3144137859344482,
|
84 |
+
"learning_rate": 0.00019998688836656323,
|
85 |
+
"loss": 2.0283,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.23300970873786409,
|
90 |
+
"grad_norm": 0.8263471722602844,
|
91 |
+
"learning_rate": 0.00019994755690455152,
|
92 |
+
"loss": 1.8683,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.2524271844660194,
|
97 |
+
"grad_norm": 0.7193414568901062,
|
98 |
+
"learning_rate": 0.0001998820159279591,
|
99 |
+
"loss": 1.732,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.27184466019417475,
|
104 |
+
"grad_norm": 0.8350910544395447,
|
105 |
+
"learning_rate": 0.00019979028262377118,
|
106 |
+
"loss": 1.6208,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2912621359223301,
|
111 |
+
"grad_norm": 0.6700139045715332,
|
112 |
+
"learning_rate": 0.00019967238104745696,
|
113 |
+
"loss": 1.493,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.3106796116504854,
|
118 |
+
"grad_norm": 1.1213518381118774,
|
119 |
+
"learning_rate": 0.0001995283421166614,
|
120 |
+
"loss": 1.4857,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.3300970873786408,
|
125 |
+
"grad_norm": 0.7505896687507629,
|
126 |
+
"learning_rate": 0.00019935820360309777,
|
127 |
+
"loss": 1.4643,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.34951456310679613,
|
132 |
+
"grad_norm": 0.6984190940856934,
|
133 |
+
"learning_rate": 0.00019916201012264254,
|
134 |
+
"loss": 1.4227,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.36893203883495146,
|
139 |
+
"grad_norm": 0.46819525957107544,
|
140 |
+
"learning_rate": 0.00019893981312363562,
|
141 |
+
"loss": 1.3889,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.3883495145631068,
|
146 |
+
"grad_norm": 0.5214670300483704,
|
147 |
+
"learning_rate": 0.00019869167087338907,
|
148 |
+
"loss": 1.3764,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.4077669902912621,
|
153 |
+
"grad_norm": 0.43329402804374695,
|
154 |
+
"learning_rate": 0.00019841764844290744,
|
155 |
+
"loss": 1.351,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.42718446601941745,
|
160 |
+
"grad_norm": 0.6535053253173828,
|
161 |
+
"learning_rate": 0.0001981178176898239,
|
162 |
+
"loss": 1.3576,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.44660194174757284,
|
167 |
+
"grad_norm": 0.6363189816474915,
|
168 |
+
"learning_rate": 0.00019779225723955707,
|
169 |
+
"loss": 1.3159,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.46601941747572817,
|
174 |
+
"grad_norm": 0.42140620946884155,
|
175 |
+
"learning_rate": 0.00019744105246469263,
|
176 |
+
"loss": 1.3072,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4854368932038835,
|
181 |
+
"grad_norm": 0.6757440567016602,
|
182 |
+
"learning_rate": 0.00019706429546259593,
|
183 |
+
"loss": 1.3261,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.5048543689320388,
|
188 |
+
"grad_norm": 0.4116632044315338,
|
189 |
+
"learning_rate": 0.00019666208503126112,
|
190 |
+
"loss": 1.317,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.5242718446601942,
|
195 |
+
"grad_norm": 0.5359898209571838,
|
196 |
+
"learning_rate": 0.00019623452664340306,
|
197 |
+
"loss": 1.2932,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.5436893203883495,
|
202 |
+
"grad_norm": 0.4596949517726898,
|
203 |
+
"learning_rate": 0.00019578173241879872,
|
204 |
+
"loss": 1.2601,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.5631067961165048,
|
209 |
+
"grad_norm": 0.6857442855834961,
|
210 |
+
"learning_rate": 0.0001953038210948861,
|
211 |
+
"loss": 1.2734,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.5825242718446602,
|
216 |
+
"grad_norm": 0.4453957676887512,
|
217 |
+
"learning_rate": 0.00019480091799562704,
|
218 |
+
"loss": 1.2521,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.6019417475728155,
|
223 |
+
"grad_norm": 0.6118847131729126,
|
224 |
+
"learning_rate": 0.00019427315499864344,
|
225 |
+
"loss": 1.2252,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.6213592233009708,
|
230 |
+
"grad_norm": 0.4894339442253113,
|
231 |
+
"learning_rate": 0.00019372067050063438,
|
232 |
+
"loss": 1.2369,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.6407766990291263,
|
237 |
+
"grad_norm": 0.5901785492897034,
|
238 |
+
"learning_rate": 0.00019314360938108425,
|
239 |
+
"loss": 1.2507,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.6601941747572816,
|
244 |
+
"grad_norm": 0.4147897958755493,
|
245 |
+
"learning_rate": 0.00019254212296427044,
|
246 |
+
"loss": 1.2454,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.6796116504854369,
|
251 |
+
"grad_norm": 0.2836126685142517,
|
252 |
+
"learning_rate": 0.00019191636897958122,
|
253 |
+
"loss": 1.2515,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.6990291262135923,
|
258 |
+
"grad_norm": 0.4523944556713104,
|
259 |
+
"learning_rate": 0.00019126651152015403,
|
260 |
+
"loss": 1.2217,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.7184466019417476,
|
265 |
+
"grad_norm": 0.4187013804912567,
|
266 |
+
"learning_rate": 0.0001905927209998447,
|
267 |
+
"loss": 1.2382,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.7378640776699029,
|
272 |
+
"grad_norm": 0.516381561756134,
|
273 |
+
"learning_rate": 0.00018989517410853955,
|
274 |
+
"loss": 1.2214,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.7572815533980582,
|
279 |
+
"grad_norm": 0.5928078889846802,
|
280 |
+
"learning_rate": 0.00018917405376582145,
|
281 |
+
"loss": 1.2407,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.7766990291262136,
|
286 |
+
"grad_norm": 0.4062119722366333,
|
287 |
+
"learning_rate": 0.00018842954907300236,
|
288 |
+
"loss": 1.1958,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.7961165048543689,
|
293 |
+
"grad_norm": 0.5966278910636902,
|
294 |
+
"learning_rate": 0.0001876618552635348,
|
295 |
+
"loss": 1.2043,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.8155339805825242,
|
300 |
+
"grad_norm": 0.47196483612060547,
|
301 |
+
"learning_rate": 0.00018687117365181512,
|
302 |
+
"loss": 1.2321,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.8349514563106796,
|
307 |
+
"grad_norm": 0.6465126872062683,
|
308 |
+
"learning_rate": 0.00018605771158039253,
|
309 |
+
"loss": 1.1996,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.8543689320388349,
|
314 |
+
"grad_norm": 0.4234643578529358,
|
315 |
+
"learning_rate": 0.00018522168236559695,
|
316 |
+
"loss": 1.198,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.8737864077669902,
|
321 |
+
"grad_norm": 0.3910824656486511,
|
322 |
+
"learning_rate": 0.00018436330524160047,
|
323 |
+
"loss": 1.1895,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.8932038834951457,
|
328 |
+
"grad_norm": 0.5380635261535645,
|
329 |
+
"learning_rate": 0.00018348280530292713,
|
330 |
+
"loss": 1.1693,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.912621359223301,
|
335 |
+
"grad_norm": 0.31823453307151794,
|
336 |
+
"learning_rate": 0.00018258041344542566,
|
337 |
+
"loss": 1.159,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.9320388349514563,
|
342 |
+
"grad_norm": 0.5679419636726379,
|
343 |
+
"learning_rate": 0.0001816563663057211,
|
344 |
+
"loss": 1.1931,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.9514563106796117,
|
349 |
+
"grad_norm": 0.3980861008167267,
|
350 |
+
"learning_rate": 0.00018071090619916093,
|
351 |
+
"loss": 1.1826,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.970873786407767,
|
356 |
+
"grad_norm": 0.3688671588897705,
|
357 |
+
"learning_rate": 0.00017974428105627208,
|
358 |
+
"loss": 1.176,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.9902912621359223,
|
363 |
+
"grad_norm": 0.4137047827243805,
|
364 |
+
"learning_rate": 0.00017875674435774547,
|
365 |
+
"loss": 1.142,
|
366 |
+
"step": 51
|
367 |
+
}
|
368 |
+
],
|
369 |
+
"logging_steps": 1,
|
370 |
+
"max_steps": 204,
|
371 |
+
"num_input_tokens_seen": 0,
|
372 |
+
"num_train_epochs": 4,
|
373 |
+
"save_steps": 51,
|
374 |
+
"total_flos": 1.0626058999037952e+16,
|
375 |
+
"train_batch_size": 2,
|
376 |
+
"trial_name": null,
|
377 |
+
"trial_params": null
|
378 |
+
}
|
checkpoint-51/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c5137d02e04a9e9bac65c98c789ae039033678d1581c7bd7d88ddb181436aa56
|
3 |
+
size 5816
|
config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 2048,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 5632,
|
14 |
+
"max_position_embeddings": 4096,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 22,
|
18 |
+
"num_key_value_heads": 4,
|
19 |
+
"pretraining_tp": 1,
|
20 |
+
"quantization_config": {
|
21 |
+
"_load_in_4bit": false,
|
22 |
+
"_load_in_8bit": true,
|
23 |
+
"bnb_4bit_compute_dtype": "float32",
|
24 |
+
"bnb_4bit_quant_storage": "uint8",
|
25 |
+
"bnb_4bit_quant_type": "fp4",
|
26 |
+
"bnb_4bit_use_double_quant": false,
|
27 |
+
"llm_int8_enable_fp32_cpu_offload": false,
|
28 |
+
"llm_int8_has_fp16_weight": false,
|
29 |
+
"llm_int8_skip_modules": null,
|
30 |
+
"llm_int8_threshold": 6.0,
|
31 |
+
"load_in_4bit": false,
|
32 |
+
"load_in_8bit": true,
|
33 |
+
"quant_method": "bitsandbytes"
|
34 |
+
},
|
35 |
+
"rms_norm_eps": 1e-05,
|
36 |
+
"rope_scaling": null,
|
37 |
+
"rope_theta": 10000.0,
|
38 |
+
"tie_word_embeddings": false,
|
39 |
+
"torch_dtype": "float32",
|
40 |
+
"transformers_version": "4.40.2",
|
41 |
+
"use_cache": false,
|
42 |
+
"vocab_size": 32000
|
43 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|