Training in progress, step 239, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +41 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +223 -0
- last-checkpoint/trainer_state.json +1706 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: EleutherAI/pythia-1b
|
3 |
+
library_name: peft
|
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 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "EleutherAI/pythia-1b",
|
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": 64,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": [
|
18 |
+
"embed_tokens",
|
19 |
+
"lm_head"
|
20 |
+
],
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 32,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": [
|
26 |
+
"q_proj",
|
27 |
+
"dense",
|
28 |
+
"k_proj",
|
29 |
+
"gate_proj",
|
30 |
+
"v_proj",
|
31 |
+
"dense_h_to_4h",
|
32 |
+
"down_proj",
|
33 |
+
"dense_4h_to_h",
|
34 |
+
"o_proj",
|
35 |
+
"up_proj",
|
36 |
+
"query_key_value"
|
37 |
+
],
|
38 |
+
"task_type": "CAUSAL_LM",
|
39 |
+
"use_dora": false,
|
40 |
+
"use_rslora": false
|
41 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f2e8037fd1742aafeefe9394eb6eb3056e379cec6904dd227fdd37e6f723d139
|
3 |
+
size 67126760
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c117807c6d7ec4eab79023545c24abd813201ccbb0d506a573fa5dc435b019a
|
3 |
+
size 134325882
|
last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b355518e25eb3f8f0a23ea4bbd5bf062b989e7cbba231f8b4b77cf35bb4106d
|
3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b0bd0e7decbf7c91ab9fd757f5ce5ae4cb006710e4bd76818c20a5be991c1f90
|
3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|endoftext|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<|endoftext|>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,223 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": false,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<|endoftext|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<|padding|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"50254": {
|
23 |
+
"content": " ",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"50255": {
|
31 |
+
"content": " ",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": true,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": false
|
37 |
+
},
|
38 |
+
"50256": {
|
39 |
+
"content": " ",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": true,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": false
|
45 |
+
},
|
46 |
+
"50257": {
|
47 |
+
"content": " ",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": true,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": false
|
53 |
+
},
|
54 |
+
"50258": {
|
55 |
+
"content": " ",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": true,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": false
|
61 |
+
},
|
62 |
+
"50259": {
|
63 |
+
"content": " ",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": true,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": false
|
69 |
+
},
|
70 |
+
"50260": {
|
71 |
+
"content": " ",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": true,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": false
|
77 |
+
},
|
78 |
+
"50261": {
|
79 |
+
"content": " ",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": true,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": false
|
85 |
+
},
|
86 |
+
"50262": {
|
87 |
+
"content": " ",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": true,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": false
|
93 |
+
},
|
94 |
+
"50263": {
|
95 |
+
"content": " ",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": true,
|
98 |
+
"rstrip": false,
|
99 |
+
"single_word": false,
|
100 |
+
"special": false
|
101 |
+
},
|
102 |
+
"50264": {
|
103 |
+
"content": " ",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": true,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": false
|
109 |
+
},
|
110 |
+
"50265": {
|
111 |
+
"content": " ",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": true,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": false
|
117 |
+
},
|
118 |
+
"50266": {
|
119 |
+
"content": " ",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": true,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": false
|
125 |
+
},
|
126 |
+
"50267": {
|
127 |
+
"content": " ",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": true,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"50268": {
|
135 |
+
"content": " ",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": true,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"50269": {
|
143 |
+
"content": " ",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": true,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
+
"50270": {
|
151 |
+
"content": " ",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": true,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": false
|
157 |
+
},
|
158 |
+
"50271": {
|
159 |
+
"content": " ",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": true,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": false
|
165 |
+
},
|
166 |
+
"50272": {
|
167 |
+
"content": " ",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": true,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": false
|
173 |
+
},
|
174 |
+
"50273": {
|
175 |
+
"content": " ",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": true,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
},
|
182 |
+
"50274": {
|
183 |
+
"content": " ",
|
184 |
+
"lstrip": false,
|
185 |
+
"normalized": true,
|
186 |
+
"rstrip": false,
|
187 |
+
"single_word": false,
|
188 |
+
"special": false
|
189 |
+
},
|
190 |
+
"50275": {
|
191 |
+
"content": " ",
|
192 |
+
"lstrip": false,
|
193 |
+
"normalized": true,
|
194 |
+
"rstrip": false,
|
195 |
+
"single_word": false,
|
196 |
+
"special": false
|
197 |
+
},
|
198 |
+
"50276": {
|
199 |
+
"content": " ",
|
200 |
+
"lstrip": false,
|
201 |
+
"normalized": true,
|
202 |
+
"rstrip": false,
|
203 |
+
"single_word": false,
|
204 |
+
"special": false
|
205 |
+
},
|
206 |
+
"50277": {
|
207 |
+
"content": "[PAD]",
|
208 |
+
"lstrip": false,
|
209 |
+
"normalized": false,
|
210 |
+
"rstrip": false,
|
211 |
+
"single_word": false,
|
212 |
+
"special": true
|
213 |
+
}
|
214 |
+
},
|
215 |
+
"bos_token": "<|endoftext|>",
|
216 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
217 |
+
"clean_up_tokenization_spaces": false,
|
218 |
+
"eos_token": "<|endoftext|>",
|
219 |
+
"model_max_length": 1000000000000000019884624838656,
|
220 |
+
"pad_token": "<|endoftext|>",
|
221 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
222 |
+
"unk_token": "<|endoftext|>"
|
223 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,1706 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.7076239822353811,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 239,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0029607698001480384,
|
13 |
+
"grad_norm": 1.2330008745193481,
|
14 |
+
"learning_rate": 1.0000000000000002e-06,
|
15 |
+
"loss": 2.1766,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.005921539600296077,
|
20 |
+
"grad_norm": 1.2820323705673218,
|
21 |
+
"learning_rate": 2.0000000000000003e-06,
|
22 |
+
"loss": 2.9334,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.008882309400444115,
|
27 |
+
"grad_norm": 1.2554841041564941,
|
28 |
+
"learning_rate": 3e-06,
|
29 |
+
"loss": 2.3881,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.011843079200592153,
|
34 |
+
"grad_norm": 1.1881266832351685,
|
35 |
+
"learning_rate": 4.000000000000001e-06,
|
36 |
+
"loss": 2.0848,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.014803849000740192,
|
41 |
+
"grad_norm": 1.6150553226470947,
|
42 |
+
"learning_rate": 5e-06,
|
43 |
+
"loss": 2.9626,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.01776461880088823,
|
48 |
+
"grad_norm": 1.2984336614608765,
|
49 |
+
"learning_rate": 6e-06,
|
50 |
+
"loss": 2.1568,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02072538860103627,
|
55 |
+
"grad_norm": 1.2844996452331543,
|
56 |
+
"learning_rate": 7.000000000000001e-06,
|
57 |
+
"loss": 3.2131,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.023686158401184307,
|
62 |
+
"grad_norm": 1.2315980195999146,
|
63 |
+
"learning_rate": 8.000000000000001e-06,
|
64 |
+
"loss": 2.054,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.026646928201332347,
|
69 |
+
"grad_norm": 1.3966083526611328,
|
70 |
+
"learning_rate": 9e-06,
|
71 |
+
"loss": 2.4242,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.029607698001480384,
|
76 |
+
"grad_norm": 1.4393157958984375,
|
77 |
+
"learning_rate": 1e-05,
|
78 |
+
"loss": 2.1222,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.03256846780162842,
|
83 |
+
"grad_norm": 1.2350786924362183,
|
84 |
+
"learning_rate": 1.1000000000000001e-05,
|
85 |
+
"loss": 1.8152,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.03552923760177646,
|
90 |
+
"grad_norm": 1.1927133798599243,
|
91 |
+
"learning_rate": 1.2e-05,
|
92 |
+
"loss": 2.1521,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.0384900074019245,
|
97 |
+
"grad_norm": 1.1297754049301147,
|
98 |
+
"learning_rate": 1.3000000000000001e-05,
|
99 |
+
"loss": 2.4425,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.04145077720207254,
|
104 |
+
"grad_norm": 1.0867418050765991,
|
105 |
+
"learning_rate": 1.4000000000000001e-05,
|
106 |
+
"loss": 2.423,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.04441154700222058,
|
111 |
+
"grad_norm": 1.200924277305603,
|
112 |
+
"learning_rate": 1.5e-05,
|
113 |
+
"loss": 2.1261,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.047372316802368614,
|
118 |
+
"grad_norm": 1.159411907196045,
|
119 |
+
"learning_rate": 1.6000000000000003e-05,
|
120 |
+
"loss": 1.6653,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.050333086602516654,
|
125 |
+
"grad_norm": 1.0632994174957275,
|
126 |
+
"learning_rate": 1.7000000000000003e-05,
|
127 |
+
"loss": 2.0275,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.053293856402664694,
|
132 |
+
"grad_norm": 1.0881314277648926,
|
133 |
+
"learning_rate": 1.8e-05,
|
134 |
+
"loss": 2.7033,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.056254626202812734,
|
139 |
+
"grad_norm": 0.9275356531143188,
|
140 |
+
"learning_rate": 1.9e-05,
|
141 |
+
"loss": 2.1658,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.05921539600296077,
|
146 |
+
"grad_norm": 0.9293656349182129,
|
147 |
+
"learning_rate": 2e-05,
|
148 |
+
"loss": 1.9394,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.06217616580310881,
|
153 |
+
"grad_norm": 0.8644701838493347,
|
154 |
+
"learning_rate": 2.1e-05,
|
155 |
+
"loss": 2.2393,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.06513693560325684,
|
160 |
+
"grad_norm": 0.8931481242179871,
|
161 |
+
"learning_rate": 2.2000000000000003e-05,
|
162 |
+
"loss": 1.729,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.06809770540340489,
|
167 |
+
"grad_norm": 0.784940242767334,
|
168 |
+
"learning_rate": 2.3000000000000003e-05,
|
169 |
+
"loss": 1.4568,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.07105847520355292,
|
174 |
+
"grad_norm": 0.9451686143875122,
|
175 |
+
"learning_rate": 2.4e-05,
|
176 |
+
"loss": 2.0144,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.07401924500370097,
|
181 |
+
"grad_norm": 0.945660412311554,
|
182 |
+
"learning_rate": 2.5e-05,
|
183 |
+
"loss": 2.2391,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.076980014803849,
|
188 |
+
"grad_norm": 1.0585007667541504,
|
189 |
+
"learning_rate": 2.6000000000000002e-05,
|
190 |
+
"loss": 2.3989,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.07994078460399703,
|
195 |
+
"grad_norm": 0.8671739101409912,
|
196 |
+
"learning_rate": 2.7000000000000002e-05,
|
197 |
+
"loss": 1.9778,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.08290155440414508,
|
202 |
+
"grad_norm": 1.2988766431808472,
|
203 |
+
"learning_rate": 2.8000000000000003e-05,
|
204 |
+
"loss": 2.9086,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.08586232420429311,
|
209 |
+
"grad_norm": 1.096251368522644,
|
210 |
+
"learning_rate": 2.9e-05,
|
211 |
+
"loss": 2.6151,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.08882309400444116,
|
216 |
+
"grad_norm": 0.843379020690918,
|
217 |
+
"learning_rate": 3e-05,
|
218 |
+
"loss": 1.5709,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.0917838638045892,
|
223 |
+
"grad_norm": 1.0188798904418945,
|
224 |
+
"learning_rate": 3.1e-05,
|
225 |
+
"loss": 2.1272,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.09474463360473723,
|
230 |
+
"grad_norm": 0.9005125164985657,
|
231 |
+
"learning_rate": 3.2000000000000005e-05,
|
232 |
+
"loss": 2.2583,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.09770540340488527,
|
237 |
+
"grad_norm": 0.9418131709098816,
|
238 |
+
"learning_rate": 3.3e-05,
|
239 |
+
"loss": 2.042,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.10066617320503331,
|
244 |
+
"grad_norm": 0.9076238870620728,
|
245 |
+
"learning_rate": 3.4000000000000007e-05,
|
246 |
+
"loss": 1.9507,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.10362694300518134,
|
251 |
+
"grad_norm": 0.8957440853118896,
|
252 |
+
"learning_rate": 3.5e-05,
|
253 |
+
"loss": 1.8002,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.10658771280532939,
|
258 |
+
"grad_norm": 0.8622126579284668,
|
259 |
+
"learning_rate": 3.6e-05,
|
260 |
+
"loss": 2.0028,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.10954848260547742,
|
265 |
+
"grad_norm": 0.8732911944389343,
|
266 |
+
"learning_rate": 3.7e-05,
|
267 |
+
"loss": 1.6368,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.11250925240562547,
|
272 |
+
"grad_norm": 0.8856744170188904,
|
273 |
+
"learning_rate": 3.8e-05,
|
274 |
+
"loss": 1.8424,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.1154700222057735,
|
279 |
+
"grad_norm": 0.7756940722465515,
|
280 |
+
"learning_rate": 3.9000000000000006e-05,
|
281 |
+
"loss": 1.6186,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.11843079200592153,
|
286 |
+
"grad_norm": 0.7404859662055969,
|
287 |
+
"learning_rate": 4e-05,
|
288 |
+
"loss": 0.7831,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.12139156180606958,
|
293 |
+
"grad_norm": 0.7246972322463989,
|
294 |
+
"learning_rate": 4.1e-05,
|
295 |
+
"loss": 0.7162,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.12435233160621761,
|
300 |
+
"grad_norm": 0.7735653519630432,
|
301 |
+
"learning_rate": 4.2e-05,
|
302 |
+
"loss": 0.649,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.12731310140636565,
|
307 |
+
"grad_norm": 0.6949583888053894,
|
308 |
+
"learning_rate": 4.3e-05,
|
309 |
+
"loss": 0.579,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.13027387120651368,
|
314 |
+
"grad_norm": 0.8814601898193359,
|
315 |
+
"learning_rate": 4.4000000000000006e-05,
|
316 |
+
"loss": 0.5323,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.13323464100666174,
|
321 |
+
"grad_norm": 0.7667685747146606,
|
322 |
+
"learning_rate": 4.5e-05,
|
323 |
+
"loss": 0.3718,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.13619541080680977,
|
328 |
+
"grad_norm": 0.7219610810279846,
|
329 |
+
"learning_rate": 4.600000000000001e-05,
|
330 |
+
"loss": 0.2537,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.1391561806069578,
|
335 |
+
"grad_norm": 0.8067429661750793,
|
336 |
+
"learning_rate": 4.7e-05,
|
337 |
+
"loss": 0.2967,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.14211695040710584,
|
342 |
+
"grad_norm": 0.7931633591651917,
|
343 |
+
"learning_rate": 4.8e-05,
|
344 |
+
"loss": 0.3117,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.14507772020725387,
|
349 |
+
"grad_norm": 1.1760865449905396,
|
350 |
+
"learning_rate": 4.9e-05,
|
351 |
+
"loss": 0.3627,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.14803849000740193,
|
356 |
+
"grad_norm": 2.106400489807129,
|
357 |
+
"learning_rate": 5e-05,
|
358 |
+
"loss": 0.5829,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.15099925980754997,
|
363 |
+
"grad_norm": 1.7357358932495117,
|
364 |
+
"learning_rate": 5.1000000000000006e-05,
|
365 |
+
"loss": 2.1019,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.153960029607698,
|
370 |
+
"grad_norm": 1.7898359298706055,
|
371 |
+
"learning_rate": 5.2000000000000004e-05,
|
372 |
+
"loss": 2.0167,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.15692079940784603,
|
377 |
+
"grad_norm": 1.5378262996673584,
|
378 |
+
"learning_rate": 5.300000000000001e-05,
|
379 |
+
"loss": 1.7384,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.15988156920799407,
|
384 |
+
"grad_norm": 1.3437457084655762,
|
385 |
+
"learning_rate": 5.4000000000000005e-05,
|
386 |
+
"loss": 1.5327,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.16284233900814213,
|
391 |
+
"grad_norm": 1.632769227027893,
|
392 |
+
"learning_rate": 5.500000000000001e-05,
|
393 |
+
"loss": 2.0959,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.16580310880829016,
|
398 |
+
"grad_norm": 1.125044822692871,
|
399 |
+
"learning_rate": 5.6000000000000006e-05,
|
400 |
+
"loss": 1.8964,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.1687638786084382,
|
405 |
+
"grad_norm": 1.159507155418396,
|
406 |
+
"learning_rate": 5.6999999999999996e-05,
|
407 |
+
"loss": 2.0412,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.17172464840858623,
|
412 |
+
"grad_norm": 1.1605857610702515,
|
413 |
+
"learning_rate": 5.8e-05,
|
414 |
+
"loss": 2.3957,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.17468541820873426,
|
419 |
+
"grad_norm": 0.8025280833244324,
|
420 |
+
"learning_rate": 5.9e-05,
|
421 |
+
"loss": 1.4531,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.17764618800888232,
|
426 |
+
"grad_norm": 1.0899537801742554,
|
427 |
+
"learning_rate": 6e-05,
|
428 |
+
"loss": 1.9804,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.18060695780903036,
|
433 |
+
"grad_norm": 0.9055036306381226,
|
434 |
+
"learning_rate": 6.1e-05,
|
435 |
+
"loss": 1.6996,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.1835677276091784,
|
440 |
+
"grad_norm": 0.9412537217140198,
|
441 |
+
"learning_rate": 6.2e-05,
|
442 |
+
"loss": 2.0901,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.18652849740932642,
|
447 |
+
"grad_norm": 0.8289198875427246,
|
448 |
+
"learning_rate": 6.3e-05,
|
449 |
+
"loss": 1.727,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.18948926720947445,
|
454 |
+
"grad_norm": 0.9061427116394043,
|
455 |
+
"learning_rate": 6.400000000000001e-05,
|
456 |
+
"loss": 2.0229,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.19245003700962252,
|
461 |
+
"grad_norm": 0.8487738370895386,
|
462 |
+
"learning_rate": 6.500000000000001e-05,
|
463 |
+
"loss": 1.8997,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.19541080680977055,
|
468 |
+
"grad_norm": 0.8029152750968933,
|
469 |
+
"learning_rate": 6.6e-05,
|
470 |
+
"loss": 1.7052,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.19837157660991858,
|
475 |
+
"grad_norm": 0.8886892199516296,
|
476 |
+
"learning_rate": 6.7e-05,
|
477 |
+
"loss": 1.7248,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.20133234641006661,
|
482 |
+
"grad_norm": 0.8168774843215942,
|
483 |
+
"learning_rate": 6.800000000000001e-05,
|
484 |
+
"loss": 1.6882,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.20429311621021465,
|
489 |
+
"grad_norm": 0.85191410779953,
|
490 |
+
"learning_rate": 6.9e-05,
|
491 |
+
"loss": 1.6616,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.20725388601036268,
|
496 |
+
"grad_norm": 0.8954592347145081,
|
497 |
+
"learning_rate": 7e-05,
|
498 |
+
"loss": 2.148,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.21021465581051074,
|
503 |
+
"grad_norm": 0.9161210060119629,
|
504 |
+
"learning_rate": 7.1e-05,
|
505 |
+
"loss": 2.1652,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.21317542561065878,
|
510 |
+
"grad_norm": 0.8220468759536743,
|
511 |
+
"learning_rate": 7.2e-05,
|
512 |
+
"loss": 1.8472,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.2161361954108068,
|
517 |
+
"grad_norm": 0.9098365902900696,
|
518 |
+
"learning_rate": 7.3e-05,
|
519 |
+
"loss": 1.914,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.21909696521095484,
|
524 |
+
"grad_norm": 0.9032228589057922,
|
525 |
+
"learning_rate": 7.4e-05,
|
526 |
+
"loss": 1.8387,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.22205773501110287,
|
531 |
+
"grad_norm": 0.9047945141792297,
|
532 |
+
"learning_rate": 7.500000000000001e-05,
|
533 |
+
"loss": 1.9642,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.22501850481125094,
|
538 |
+
"grad_norm": 0.8859308958053589,
|
539 |
+
"learning_rate": 7.6e-05,
|
540 |
+
"loss": 1.7764,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.22797927461139897,
|
545 |
+
"grad_norm": 0.8051456809043884,
|
546 |
+
"learning_rate": 7.7e-05,
|
547 |
+
"loss": 1.3194,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.230940044411547,
|
552 |
+
"grad_norm": 0.8149760961532593,
|
553 |
+
"learning_rate": 7.800000000000001e-05,
|
554 |
+
"loss": 1.4126,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.23390081421169504,
|
559 |
+
"grad_norm": 0.9568467736244202,
|
560 |
+
"learning_rate": 7.900000000000001e-05,
|
561 |
+
"loss": 1.9886,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.23686158401184307,
|
566 |
+
"grad_norm": 0.7884660363197327,
|
567 |
+
"learning_rate": 8e-05,
|
568 |
+
"loss": 1.4901,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.23982235381199113,
|
573 |
+
"grad_norm": 0.9412587881088257,
|
574 |
+
"learning_rate": 8.1e-05,
|
575 |
+
"loss": 1.7959,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.24278312361213916,
|
580 |
+
"grad_norm": 0.9693312644958496,
|
581 |
+
"learning_rate": 8.2e-05,
|
582 |
+
"loss": 1.8617,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.2457438934122872,
|
587 |
+
"grad_norm": 1.0750447511672974,
|
588 |
+
"learning_rate": 8.3e-05,
|
589 |
+
"loss": 1.71,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.24870466321243523,
|
594 |
+
"grad_norm": 0.8832487463951111,
|
595 |
+
"learning_rate": 8.4e-05,
|
596 |
+
"loss": 1.8103,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.25166543301258326,
|
601 |
+
"grad_norm": 0.9104954600334167,
|
602 |
+
"learning_rate": 8.5e-05,
|
603 |
+
"loss": 1.6251,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.2546262028127313,
|
608 |
+
"grad_norm": 1.0365192890167236,
|
609 |
+
"learning_rate": 8.6e-05,
|
610 |
+
"loss": 1.989,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.25758697261287933,
|
615 |
+
"grad_norm": 0.8882848620414734,
|
616 |
+
"learning_rate": 8.7e-05,
|
617 |
+
"loss": 1.6533,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.26054774241302736,
|
622 |
+
"grad_norm": 0.9500681757926941,
|
623 |
+
"learning_rate": 8.800000000000001e-05,
|
624 |
+
"loss": 2.0243,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.26350851221317545,
|
629 |
+
"grad_norm": 1.2127057313919067,
|
630 |
+
"learning_rate": 8.900000000000001e-05,
|
631 |
+
"loss": 2.7702,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.2664692820133235,
|
636 |
+
"grad_norm": 0.7713281512260437,
|
637 |
+
"learning_rate": 9e-05,
|
638 |
+
"loss": 0.9571,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.2694300518134715,
|
643 |
+
"grad_norm": 0.6999084949493408,
|
644 |
+
"learning_rate": 9.1e-05,
|
645 |
+
"loss": 0.6233,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.27239082161361955,
|
650 |
+
"grad_norm": 0.7298312187194824,
|
651 |
+
"learning_rate": 9.200000000000001e-05,
|
652 |
+
"loss": 0.5504,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.2753515914137676,
|
657 |
+
"grad_norm": 0.7176688313484192,
|
658 |
+
"learning_rate": 9.300000000000001e-05,
|
659 |
+
"loss": 0.5124,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.2783123612139156,
|
664 |
+
"grad_norm": 0.5131226778030396,
|
665 |
+
"learning_rate": 9.4e-05,
|
666 |
+
"loss": 0.27,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.28127313101406365,
|
671 |
+
"grad_norm": 0.6256267428398132,
|
672 |
+
"learning_rate": 9.5e-05,
|
673 |
+
"loss": 0.3631,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.2842339008142117,
|
678 |
+
"grad_norm": 0.7403827905654907,
|
679 |
+
"learning_rate": 9.6e-05,
|
680 |
+
"loss": 0.2167,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.2871946706143597,
|
685 |
+
"grad_norm": 0.6680935621261597,
|
686 |
+
"learning_rate": 9.7e-05,
|
687 |
+
"loss": 0.189,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.29015544041450775,
|
692 |
+
"grad_norm": 0.8044579029083252,
|
693 |
+
"learning_rate": 9.8e-05,
|
694 |
+
"loss": 0.152,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.29311621021465584,
|
699 |
+
"grad_norm": 1.1157574653625488,
|
700 |
+
"learning_rate": 9.900000000000001e-05,
|
701 |
+
"loss": 0.4304,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.29607698001480387,
|
706 |
+
"grad_norm": 2.423006772994995,
|
707 |
+
"learning_rate": 0.0001,
|
708 |
+
"loss": 0.7202,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.2990377498149519,
|
713 |
+
"grad_norm": 1.0296176671981812,
|
714 |
+
"learning_rate": 9.999560724782174e-05,
|
715 |
+
"loss": 1.2209,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.30199851961509994,
|
720 |
+
"grad_norm": 1.4382774829864502,
|
721 |
+
"learning_rate": 9.998242976313776e-05,
|
722 |
+
"loss": 1.9754,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.30495928941524797,
|
727 |
+
"grad_norm": 1.3792943954467773,
|
728 |
+
"learning_rate": 9.996046986136509e-05,
|
729 |
+
"loss": 2.0047,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.307920059215396,
|
734 |
+
"grad_norm": 1.2752324342727661,
|
735 |
+
"learning_rate": 9.992973140107997e-05,
|
736 |
+
"loss": 2.0791,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.31088082901554404,
|
741 |
+
"grad_norm": 1.1318740844726562,
|
742 |
+
"learning_rate": 9.989021978333995e-05,
|
743 |
+
"loss": 2.1738,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.31384159881569207,
|
748 |
+
"grad_norm": 1.031514286994934,
|
749 |
+
"learning_rate": 9.98419419507348e-05,
|
750 |
+
"loss": 1.6898,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.3168023686158401,
|
755 |
+
"grad_norm": 0.9624975919723511,
|
756 |
+
"learning_rate": 9.97849063861667e-05,
|
757 |
+
"loss": 1.9637,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.31976313841598814,
|
762 |
+
"grad_norm": 1.0019279718399048,
|
763 |
+
"learning_rate": 9.971912311135967e-05,
|
764 |
+
"loss": 1.8575,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.32272390821613617,
|
769 |
+
"grad_norm": 0.8692964315414429,
|
770 |
+
"learning_rate": 9.964460368509867e-05,
|
771 |
+
"loss": 1.3659,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.32568467801628426,
|
776 |
+
"grad_norm": 0.8809174299240112,
|
777 |
+
"learning_rate": 9.956136120119858e-05,
|
778 |
+
"loss": 1.3946,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.3286454478164323,
|
783 |
+
"grad_norm": 0.960116446018219,
|
784 |
+
"learning_rate": 9.94694102862035e-05,
|
785 |
+
"loss": 1.8712,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.3316062176165803,
|
790 |
+
"grad_norm": 0.9009029269218445,
|
791 |
+
"learning_rate": 9.936876709681668e-05,
|
792 |
+
"loss": 1.687,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.33456698741672836,
|
797 |
+
"grad_norm": 0.8052501082420349,
|
798 |
+
"learning_rate": 9.925944931706173e-05,
|
799 |
+
"loss": 1.3864,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.3375277572168764,
|
804 |
+
"grad_norm": 1.0476393699645996,
|
805 |
+
"learning_rate": 9.914147615517526e-05,
|
806 |
+
"loss": 2.2286,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.3404885270170244,
|
811 |
+
"grad_norm": 1.0064458847045898,
|
812 |
+
"learning_rate": 9.901486834023182e-05,
|
813 |
+
"loss": 2.1631,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.34344929681717246,
|
818 |
+
"grad_norm": 0.9857942461967468,
|
819 |
+
"learning_rate": 9.887964811850159e-05,
|
820 |
+
"loss": 1.7814,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.3464100666173205,
|
825 |
+
"grad_norm": 0.9749800562858582,
|
826 |
+
"learning_rate": 9.873583924954152e-05,
|
827 |
+
"loss": 2.0465,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.3493708364174685,
|
832 |
+
"grad_norm": 1.1256530284881592,
|
833 |
+
"learning_rate": 9.85834670020205e-05,
|
834 |
+
"loss": 2.3322,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.35233160621761656,
|
839 |
+
"grad_norm": 0.9596055150032043,
|
840 |
+
"learning_rate": 9.842255814927944e-05,
|
841 |
+
"loss": 2.009,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.35529237601776464,
|
846 |
+
"grad_norm": 0.9318323135375977,
|
847 |
+
"learning_rate": 9.825314096462685e-05,
|
848 |
+
"loss": 1.5815,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.3582531458179127,
|
853 |
+
"grad_norm": 0.8369913101196289,
|
854 |
+
"learning_rate": 9.807524521637102e-05,
|
855 |
+
"loss": 1.4723,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.3612139156180607,
|
860 |
+
"grad_norm": 0.90513676404953,
|
861 |
+
"learning_rate": 9.788890216258939e-05,
|
862 |
+
"loss": 1.6677,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.36417468541820874,
|
867 |
+
"grad_norm": 0.9872686862945557,
|
868 |
+
"learning_rate": 9.769414454563615e-05,
|
869 |
+
"loss": 2.1453,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.3671354552183568,
|
874 |
+
"grad_norm": 1.007397174835205,
|
875 |
+
"learning_rate": 9.749100658638914e-05,
|
876 |
+
"loss": 1.7057,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.3700962250185048,
|
881 |
+
"grad_norm": 0.8887436985969543,
|
882 |
+
"learning_rate": 9.72795239782369e-05,
|
883 |
+
"loss": 1.7311,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.37305699481865284,
|
888 |
+
"grad_norm": 1.100716471672058,
|
889 |
+
"learning_rate": 9.705973388080693e-05,
|
890 |
+
"loss": 2.1422,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.3760177646188009,
|
895 |
+
"grad_norm": 0.9766169190406799,
|
896 |
+
"learning_rate": 9.68316749134364e-05,
|
897 |
+
"loss": 1.742,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.3789785344189489,
|
902 |
+
"grad_norm": 1.0313608646392822,
|
903 |
+
"learning_rate": 9.659538714838634e-05,
|
904 |
+
"loss": 2.2097,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.38193930421909694,
|
909 |
+
"grad_norm": 1.1221710443496704,
|
910 |
+
"learning_rate": 9.635091210380051e-05,
|
911 |
+
"loss": 1.7041,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.38490007401924503,
|
916 |
+
"grad_norm": 1.0365699529647827,
|
917 |
+
"learning_rate": 9.609829273641034e-05,
|
918 |
+
"loss": 2.5044,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.38786084381939306,
|
923 |
+
"grad_norm": 1.0537230968475342,
|
924 |
+
"learning_rate": 9.583757343398684e-05,
|
925 |
+
"loss": 1.8424,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.3908216136195411,
|
930 |
+
"grad_norm": 1.0906157493591309,
|
931 |
+
"learning_rate": 9.55688000075414e-05,
|
932 |
+
"loss": 2.0675,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.39378238341968913,
|
937 |
+
"grad_norm": 1.0615696907043457,
|
938 |
+
"learning_rate": 9.529201968327616e-05,
|
939 |
+
"loss": 2.3767,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.39674315321983716,
|
944 |
+
"grad_norm": 1.1298242807388306,
|
945 |
+
"learning_rate": 9.500728109428604e-05,
|
946 |
+
"loss": 1.9942,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.3997039230199852,
|
951 |
+
"grad_norm": 0.9128508567810059,
|
952 |
+
"learning_rate": 9.47146342720133e-05,
|
953 |
+
"loss": 1.71,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.40266469282013323,
|
958 |
+
"grad_norm": 0.9869701266288757,
|
959 |
+
"learning_rate": 9.44141306374566e-05,
|
960 |
+
"loss": 1.7858,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.40562546262028126,
|
965 |
+
"grad_norm": 0.9508257508277893,
|
966 |
+
"learning_rate": 9.410582299213573e-05,
|
967 |
+
"loss": 1.6292,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.4085862324204293,
|
972 |
+
"grad_norm": 0.868828535079956,
|
973 |
+
"learning_rate": 9.378976550881394e-05,
|
974 |
+
"loss": 1.2036,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.41154700222057733,
|
979 |
+
"grad_norm": 0.9286262392997742,
|
980 |
+
"learning_rate": 9.346601372197914e-05,
|
981 |
+
"loss": 1.5908,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.41450777202072536,
|
986 |
+
"grad_norm": 0.8766072988510132,
|
987 |
+
"learning_rate": 9.3134624518086e-05,
|
988 |
+
"loss": 0.782,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.41746854182087345,
|
993 |
+
"grad_norm": 0.8357656598091125,
|
994 |
+
"learning_rate": 9.279565612556043e-05,
|
995 |
+
"loss": 0.4964,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.4204293116210215,
|
1000 |
+
"grad_norm": 0.5693497657775879,
|
1001 |
+
"learning_rate": 9.244916810456821e-05,
|
1002 |
+
"loss": 0.2504,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.4233900814211695,
|
1007 |
+
"grad_norm": 0.5122264623641968,
|
1008 |
+
"learning_rate": 9.209522133654969e-05,
|
1009 |
+
"loss": 0.3069,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.42635085122131755,
|
1014 |
+
"grad_norm": 0.5361589193344116,
|
1015 |
+
"learning_rate": 9.173387801352232e-05,
|
1016 |
+
"loss": 0.2766,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.4293116210214656,
|
1021 |
+
"grad_norm": 0.6745699644088745,
|
1022 |
+
"learning_rate": 9.136520162715287e-05,
|
1023 |
+
"loss": 0.4646,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.4322723908216136,
|
1028 |
+
"grad_norm": 0.5727047920227051,
|
1029 |
+
"learning_rate": 9.098925695760132e-05,
|
1030 |
+
"loss": 0.1874,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.43523316062176165,
|
1035 |
+
"grad_norm": 0.5952191948890686,
|
1036 |
+
"learning_rate": 9.060611006213832e-05,
|
1037 |
+
"loss": 0.1782,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.4381939304219097,
|
1042 |
+
"grad_norm": 0.6233859062194824,
|
1043 |
+
"learning_rate": 9.021582826353824e-05,
|
1044 |
+
"loss": 0.1705,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.4411547002220577,
|
1049 |
+
"grad_norm": 0.6710546016693115,
|
1050 |
+
"learning_rate": 8.981848013824993e-05,
|
1051 |
+
"loss": 0.1251,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.44411547002220575,
|
1056 |
+
"grad_norm": 1.7101366519927979,
|
1057 |
+
"learning_rate": 8.94141355043471e-05,
|
1058 |
+
"loss": 0.4686,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.44707623982235384,
|
1063 |
+
"grad_norm": 1.2731906175613403,
|
1064 |
+
"learning_rate": 8.900286540926061e-05,
|
1065 |
+
"loss": 1.1952,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.45003700962250187,
|
1070 |
+
"grad_norm": 1.3987884521484375,
|
1071 |
+
"learning_rate": 8.858474211729469e-05,
|
1072 |
+
"loss": 1.7733,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.4529977794226499,
|
1077 |
+
"grad_norm": 1.2485826015472412,
|
1078 |
+
"learning_rate": 8.815983909692943e-05,
|
1079 |
+
"loss": 2.0824,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.45595854922279794,
|
1084 |
+
"grad_norm": 1.1472845077514648,
|
1085 |
+
"learning_rate": 8.772823100791151e-05,
|
1086 |
+
"loss": 1.7076,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.45891931902294597,
|
1091 |
+
"grad_norm": 0.9043837189674377,
|
1092 |
+
"learning_rate": 8.728999368813591e-05,
|
1093 |
+
"loss": 1.5772,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.461880088823094,
|
1098 |
+
"grad_norm": 1.1139400005340576,
|
1099 |
+
"learning_rate": 8.684520414032023e-05,
|
1100 |
+
"loss": 1.7797,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.46484085862324204,
|
1105 |
+
"grad_norm": 0.8343661427497864,
|
1106 |
+
"learning_rate": 8.639394051847472e-05,
|
1107 |
+
"loss": 1.6327,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.46780162842339007,
|
1112 |
+
"grad_norm": 0.9228811860084534,
|
1113 |
+
"learning_rate": 8.593628211416964e-05,
|
1114 |
+
"loss": 1.3159,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.4707623982235381,
|
1119 |
+
"grad_norm": 1.0521384477615356,
|
1120 |
+
"learning_rate": 8.547230934260311e-05,
|
1121 |
+
"loss": 1.937,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.47372316802368614,
|
1126 |
+
"grad_norm": 1.0546250343322754,
|
1127 |
+
"learning_rate": 8.500210372847127e-05,
|
1128 |
+
"loss": 1.5866,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.47668393782383417,
|
1133 |
+
"grad_norm": 0.9808539152145386,
|
1134 |
+
"learning_rate": 8.452574789164351e-05,
|
1135 |
+
"loss": 1.3465,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.47964470762398226,
|
1140 |
+
"grad_norm": 1.0605146884918213,
|
1141 |
+
"learning_rate": 8.404332553264547e-05,
|
1142 |
+
"loss": 1.9493,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.4826054774241303,
|
1147 |
+
"grad_norm": 1.044192910194397,
|
1148 |
+
"learning_rate": 8.355492141795185e-05,
|
1149 |
+
"loss": 1.7087,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.4855662472242783,
|
1154 |
+
"grad_norm": 1.0825512409210205,
|
1155 |
+
"learning_rate": 8.30606213650922e-05,
|
1156 |
+
"loss": 1.7466,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.48852701702442636,
|
1161 |
+
"grad_norm": 1.1549116373062134,
|
1162 |
+
"learning_rate": 8.256051222757188e-05,
|
1163 |
+
"loss": 1.9754,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.4914877868245744,
|
1168 |
+
"grad_norm": 0.9423612952232361,
|
1169 |
+
"learning_rate": 8.2054681879611e-05,
|
1170 |
+
"loss": 1.8689,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.4944485566247224,
|
1175 |
+
"grad_norm": 0.9141284823417664,
|
1176 |
+
"learning_rate": 8.154321920070414e-05,
|
1177 |
+
"loss": 1.3927,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.49740932642487046,
|
1182 |
+
"grad_norm": 1.1286426782608032,
|
1183 |
+
"learning_rate": 8.102621406000309e-05,
|
1184 |
+
"loss": 1.9011,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.5003700962250185,
|
1189 |
+
"grad_norm": 1.188552737236023,
|
1190 |
+
"learning_rate": 8.050375730052621e-05,
|
1191 |
+
"loss": 2.5164,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.5033308660251665,
|
1196 |
+
"grad_norm": 0.8950062990188599,
|
1197 |
+
"learning_rate": 7.997594072319625e-05,
|
1198 |
+
"loss": 1.2163,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.5062916358253146,
|
1203 |
+
"grad_norm": 0.8495607972145081,
|
1204 |
+
"learning_rate": 7.944285707070998e-05,
|
1205 |
+
"loss": 1.3757,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.5092524056254626,
|
1210 |
+
"grad_norm": 0.9846630096435547,
|
1211 |
+
"learning_rate": 7.890460001124242e-05,
|
1212 |
+
"loss": 1.3396,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.5122131754256106,
|
1217 |
+
"grad_norm": 1.158858299255371,
|
1218 |
+
"learning_rate": 7.83612641219884e-05,
|
1219 |
+
"loss": 1.8067,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.5151739452257587,
|
1224 |
+
"grad_norm": 0.9049079418182373,
|
1225 |
+
"learning_rate": 7.781294487254436e-05,
|
1226 |
+
"loss": 1.3725,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.5181347150259067,
|
1231 |
+
"grad_norm": 1.169640064239502,
|
1232 |
+
"learning_rate": 7.725973860813338e-05,
|
1233 |
+
"loss": 2.5245,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.5210954848260547,
|
1238 |
+
"grad_norm": 1.0044087171554565,
|
1239 |
+
"learning_rate": 7.670174253267641e-05,
|
1240 |
+
"loss": 1.7303,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.5240562546262029,
|
1245 |
+
"grad_norm": 1.306775689125061,
|
1246 |
+
"learning_rate": 7.613905469171246e-05,
|
1247 |
+
"loss": 2.2293,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.5270170244263509,
|
1252 |
+
"grad_norm": 0.8953151702880859,
|
1253 |
+
"learning_rate": 7.557177395517112e-05,
|
1254 |
+
"loss": 1.4446,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.5299777942264989,
|
1259 |
+
"grad_norm": 0.8270052671432495,
|
1260 |
+
"learning_rate": 7.500000000000001e-05,
|
1261 |
+
"loss": 1.2409,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.532938564026647,
|
1266 |
+
"grad_norm": 1.06266450881958,
|
1267 |
+
"learning_rate": 7.442383329265062e-05,
|
1268 |
+
"loss": 1.726,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.535899333826795,
|
1273 |
+
"grad_norm": 1.1915879249572754,
|
1274 |
+
"learning_rate": 7.384337507142531e-05,
|
1275 |
+
"loss": 1.9542,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.538860103626943,
|
1280 |
+
"grad_norm": 1.1052125692367554,
|
1281 |
+
"learning_rate": 7.325872732868869e-05,
|
1282 |
+
"loss": 1.804,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.5418208734270911,
|
1287 |
+
"grad_norm": 0.9792408347129822,
|
1288 |
+
"learning_rate": 7.26699927929466e-05,
|
1289 |
+
"loss": 1.3709,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.5447816432272391,
|
1294 |
+
"grad_norm": 1.0242524147033691,
|
1295 |
+
"learning_rate": 7.20772749107956e-05,
|
1296 |
+
"loss": 1.4006,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.5477424130273871,
|
1301 |
+
"grad_norm": 0.9607504606246948,
|
1302 |
+
"learning_rate": 7.14806778287464e-05,
|
1303 |
+
"loss": 1.6155,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.5507031828275352,
|
1308 |
+
"grad_norm": 0.9280562400817871,
|
1309 |
+
"learning_rate": 7.088030637492429e-05,
|
1310 |
+
"loss": 1.7849,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.5536639526276832,
|
1315 |
+
"grad_norm": 1.276000738143921,
|
1316 |
+
"learning_rate": 7.027626604064969e-05,
|
1317 |
+
"loss": 2.5948,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.5566247224278312,
|
1322 |
+
"grad_norm": 1.0355356931686401,
|
1323 |
+
"learning_rate": 6.966866296190241e-05,
|
1324 |
+
"loss": 1.9808,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.5595854922279793,
|
1329 |
+
"grad_norm": 1.275265097618103,
|
1330 |
+
"learning_rate": 6.905760390067235e-05,
|
1331 |
+
"loss": 2.0494,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.5625462620281273,
|
1336 |
+
"grad_norm": 0.6706751585006714,
|
1337 |
+
"learning_rate": 6.844319622620039e-05,
|
1338 |
+
"loss": 0.603,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.5655070318282753,
|
1343 |
+
"grad_norm": 0.6546670794487,
|
1344 |
+
"learning_rate": 6.782554789611255e-05,
|
1345 |
+
"loss": 0.4406,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.5684678016284234,
|
1350 |
+
"grad_norm": 0.6711502075195312,
|
1351 |
+
"learning_rate": 6.720476743745072e-05,
|
1352 |
+
"loss": 0.6604,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.5714285714285714,
|
1357 |
+
"grad_norm": 0.6742061972618103,
|
1358 |
+
"learning_rate": 6.65809639276034e-05,
|
1359 |
+
"loss": 0.4936,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.5743893412287194,
|
1364 |
+
"grad_norm": 0.6132559776306152,
|
1365 |
+
"learning_rate": 6.595424697513964e-05,
|
1366 |
+
"loss": 0.4007,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.5773501110288675,
|
1371 |
+
"grad_norm": 0.5519651174545288,
|
1372 |
+
"learning_rate": 6.532472670054974e-05,
|
1373 |
+
"loss": 0.3362,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.5803108808290155,
|
1378 |
+
"grad_norm": 0.6012782454490662,
|
1379 |
+
"learning_rate": 6.469251371689606e-05,
|
1380 |
+
"loss": 0.2836,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.5832716506291635,
|
1385 |
+
"grad_norm": 1.4975916147232056,
|
1386 |
+
"learning_rate": 6.405771911037699e-05,
|
1387 |
+
"loss": 0.1957,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.5862324204293117,
|
1392 |
+
"grad_norm": 1.4344160556793213,
|
1393 |
+
"learning_rate": 6.342045442080818e-05,
|
1394 |
+
"loss": 0.3677,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.5891931902294597,
|
1399 |
+
"grad_norm": 0.9004579782485962,
|
1400 |
+
"learning_rate": 6.278083162202375e-05,
|
1401 |
+
"loss": 0.122,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.5921539600296077,
|
1406 |
+
"grad_norm": 1.5413613319396973,
|
1407 |
+
"learning_rate": 6.213896310220139e-05,
|
1408 |
+
"loss": 0.3552,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.5951147298297558,
|
1413 |
+
"grad_norm": 1.3081581592559814,
|
1414 |
+
"learning_rate": 6.149496164411468e-05,
|
1415 |
+
"loss": 2.3571,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.5980754996299038,
|
1420 |
+
"grad_norm": 1.5233243703842163,
|
1421 |
+
"learning_rate": 6.08489404053159e-05,
|
1422 |
+
"loss": 1.7568,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.6010362694300518,
|
1427 |
+
"grad_norm": 1.0305086374282837,
|
1428 |
+
"learning_rate": 6.020101289825324e-05,
|
1429 |
+
"loss": 1.2343,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.6039970392301999,
|
1434 |
+
"grad_norm": 1.2169106006622314,
|
1435 |
+
"learning_rate": 5.955129297032539e-05,
|
1436 |
+
"loss": 1.9524,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.6069578090303479,
|
1441 |
+
"grad_norm": 1.110613465309143,
|
1442 |
+
"learning_rate": 5.889989478387753e-05,
|
1443 |
+
"loss": 1.2548,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.6099185788304959,
|
1448 |
+
"grad_norm": 1.059578776359558,
|
1449 |
+
"learning_rate": 5.8246932796141704e-05,
|
1450 |
+
"loss": 1.5665,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.612879348630644,
|
1455 |
+
"grad_norm": 1.1399540901184082,
|
1456 |
+
"learning_rate": 5.7592521739125726e-05,
|
1457 |
+
"loss": 1.5839,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.615840118430792,
|
1462 |
+
"grad_norm": 1.1892155408859253,
|
1463 |
+
"learning_rate": 5.6936776599453424e-05,
|
1464 |
+
"loss": 1.9225,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.61880088823094,
|
1469 |
+
"grad_norm": 1.2208551168441772,
|
1470 |
+
"learning_rate": 5.6279812598160406e-05,
|
1471 |
+
"loss": 1.7876,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.6217616580310881,
|
1476 |
+
"grad_norm": 0.8801209926605225,
|
1477 |
+
"learning_rate": 5.5621745170448616e-05,
|
1478 |
+
"loss": 1.4153,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.6247224278312361,
|
1483 |
+
"grad_norm": 1.2946308851242065,
|
1484 |
+
"learning_rate": 5.496268994540309e-05,
|
1485 |
+
"loss": 2.2272,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.6276831976313841,
|
1490 |
+
"grad_norm": 1.1825288534164429,
|
1491 |
+
"learning_rate": 5.430276272567485e-05,
|
1492 |
+
"loss": 2.3467,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.6306439674315322,
|
1497 |
+
"grad_norm": 0.972135603427887,
|
1498 |
+
"learning_rate": 5.364207946713318e-05,
|
1499 |
+
"loss": 1.6491,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.6336047372316802,
|
1504 |
+
"grad_norm": 1.0048394203186035,
|
1505 |
+
"learning_rate": 5.2980756258490995e-05,
|
1506 |
+
"loss": 1.7103,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.6365655070318282,
|
1511 |
+
"grad_norm": 1.0976014137268066,
|
1512 |
+
"learning_rate": 5.2318909300906926e-05,
|
1513 |
+
"loss": 1.6622,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.6395262768319763,
|
1518 |
+
"grad_norm": 1.0213438272476196,
|
1519 |
+
"learning_rate": 5.165665488756754e-05,
|
1520 |
+
"loss": 2.013,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.6424870466321243,
|
1525 |
+
"grad_norm": 1.091571569442749,
|
1526 |
+
"learning_rate": 5.0994109383253506e-05,
|
1527 |
+
"loss": 1.7667,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.6454478164322723,
|
1532 |
+
"grad_norm": 1.0388829708099365,
|
1533 |
+
"learning_rate": 5.033138920389313e-05,
|
1534 |
+
"loss": 1.8158,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.6484085862324205,
|
1539 |
+
"grad_norm": 1.0053703784942627,
|
1540 |
+
"learning_rate": 4.966861079610688e-05,
|
1541 |
+
"loss": 1.499,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.6513693560325685,
|
1546 |
+
"grad_norm": 1.0581315755844116,
|
1547 |
+
"learning_rate": 4.900589061674649e-05,
|
1548 |
+
"loss": 2.2098,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.6543301258327165,
|
1553 |
+
"grad_norm": 1.1170649528503418,
|
1554 |
+
"learning_rate": 4.834334511243247e-05,
|
1555 |
+
"loss": 2.0526,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.6572908956328646,
|
1560 |
+
"grad_norm": 1.1198148727416992,
|
1561 |
+
"learning_rate": 4.768109069909307e-05,
|
1562 |
+
"loss": 1.6998,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.6602516654330126,
|
1567 |
+
"grad_norm": 1.127437949180603,
|
1568 |
+
"learning_rate": 4.701924374150901e-05,
|
1569 |
+
"loss": 1.7269,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.6632124352331606,
|
1574 |
+
"grad_norm": 0.8806882500648499,
|
1575 |
+
"learning_rate": 4.635792053286682e-05,
|
1576 |
+
"loss": 1.4307,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.6661732050333087,
|
1581 |
+
"grad_norm": 1.0180091857910156,
|
1582 |
+
"learning_rate": 4.569723727432517e-05,
|
1583 |
+
"loss": 1.8816,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.6691339748334567,
|
1588 |
+
"grad_norm": 0.8961617350578308,
|
1589 |
+
"learning_rate": 4.503731005459693e-05,
|
1590 |
+
"loss": 1.2071,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.6720947446336047,
|
1595 |
+
"grad_norm": 1.143943428993225,
|
1596 |
+
"learning_rate": 4.4378254829551396e-05,
|
1597 |
+
"loss": 2.0122,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.6750555144337528,
|
1602 |
+
"grad_norm": 1.0135809183120728,
|
1603 |
+
"learning_rate": 4.3720187401839606e-05,
|
1604 |
+
"loss": 1.5634,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.6780162842339008,
|
1609 |
+
"grad_norm": 1.0653568506240845,
|
1610 |
+
"learning_rate": 4.3063223400546594e-05,
|
1611 |
+
"loss": 1.4539,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.6809770540340488,
|
1616 |
+
"grad_norm": 1.0943018198013306,
|
1617 |
+
"learning_rate": 4.240747826087429e-05,
|
1618 |
+
"loss": 1.7096,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.6839378238341969,
|
1623 |
+
"grad_norm": 1.0082052946090698,
|
1624 |
+
"learning_rate": 4.17530672038583e-05,
|
1625 |
+
"loss": 1.8474,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.6868985936343449,
|
1630 |
+
"grad_norm": 1.1438117027282715,
|
1631 |
+
"learning_rate": 4.11001052161225e-05,
|
1632 |
+
"loss": 1.6998,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.689859363434493,
|
1637 |
+
"grad_norm": 1.0718982219696045,
|
1638 |
+
"learning_rate": 4.044870702967461e-05,
|
1639 |
+
"loss": 1.786,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.692820133234641,
|
1644 |
+
"grad_norm": 1.172393798828125,
|
1645 |
+
"learning_rate": 3.979898710174678e-05,
|
1646 |
+
"loss": 1.9927,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.695780903034789,
|
1651 |
+
"grad_norm": 1.0030678510665894,
|
1652 |
+
"learning_rate": 3.91510595946841e-05,
|
1653 |
+
"loss": 1.5687,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.698741672834937,
|
1658 |
+
"grad_norm": 0.8714839816093445,
|
1659 |
+
"learning_rate": 3.850503835588533e-05,
|
1660 |
+
"loss": 1.5528,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.7017024426350851,
|
1665 |
+
"grad_norm": 0.7779592275619507,
|
1666 |
+
"learning_rate": 3.786103689779861e-05,
|
1667 |
+
"loss": 1.1243,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.7046632124352331,
|
1672 |
+
"grad_norm": 0.94936203956604,
|
1673 |
+
"learning_rate": 3.721916837797627e-05,
|
1674 |
+
"loss": 1.5304,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.7076239822353811,
|
1679 |
+
"grad_norm": 0.945186197757721,
|
1680 |
+
"learning_rate": 3.657954557919183e-05,
|
1681 |
+
"loss": 1.6068,
|
1682 |
+
"step": 239
|
1683 |
+
}
|
1684 |
+
],
|
1685 |
+
"logging_steps": 1,
|
1686 |
+
"max_steps": 337,
|
1687 |
+
"num_input_tokens_seen": 0,
|
1688 |
+
"num_train_epochs": 1,
|
1689 |
+
"save_steps": 239,
|
1690 |
+
"stateful_callbacks": {
|
1691 |
+
"TrainerControl": {
|
1692 |
+
"args": {
|
1693 |
+
"should_epoch_stop": false,
|
1694 |
+
"should_evaluate": false,
|
1695 |
+
"should_log": false,
|
1696 |
+
"should_save": true,
|
1697 |
+
"should_training_stop": false
|
1698 |
+
},
|
1699 |
+
"attributes": {}
|
1700 |
+
}
|
1701 |
+
},
|
1702 |
+
"total_flos": 2.142671224386355e+16,
|
1703 |
+
"train_batch_size": 4,
|
1704 |
+
"trial_name": null,
|
1705 |
+
"trial_params": null
|
1706 |
+
}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b1194f4dd5944ae1d681b7014780eb2503f81b61c68953abb392fd6893434def
|
3 |
+
size 6840
|