Training in progress, step 200, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +31 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +13 -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.model +3 -0
- last-checkpoint/tokenizer_config.json +131 -0
- last-checkpoint/trainer_state.json +1458 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: microsoft/Phi-3-mini-4k-instruct
|
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 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
|
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": 0.1,
|
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 |
+
"gate_up_proj",
|
24 |
+
"down_proj",
|
25 |
+
"qkv_proj",
|
26 |
+
"o_proj"
|
27 |
+
],
|
28 |
+
"task_type": "CAUSAL_LM",
|
29 |
+
"use_dora": false,
|
30 |
+
"use_rslora": false
|
31 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dafa4b35903272d9a5875a528613d55b70de489a4cba4b0c5d90b8e7372447d6
|
3 |
+
size 201361312
|
last-checkpoint/added_tokens.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|assistant|>": 32001,
|
3 |
+
"<|endoftext|>": 32000,
|
4 |
+
"<|end|>": 32007,
|
5 |
+
"<|placeholder1|>": 32002,
|
6 |
+
"<|placeholder2|>": 32003,
|
7 |
+
"<|placeholder3|>": 32004,
|
8 |
+
"<|placeholder4|>": 32005,
|
9 |
+
"<|placeholder5|>": 32008,
|
10 |
+
"<|placeholder6|>": 32009,
|
11 |
+
"<|system|>": 32006,
|
12 |
+
"<|user|>": 32010
|
13 |
+
}
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1cf933217f2a1496df6e505c373994ec60d2e9cb4e4182654a65e173712ea973
|
3 |
+
size 102537556
|
last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9fe7d0a617f855b2bc9dfdd7c58ade6a034334dc9ab8264f32d86ab4c71b68ff
|
3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e2a83f712de79bb514499d2ca3730c9bd34c456c994df59c25a6345a223b9b1e
|
3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "<|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": "<unk>",
|
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.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,131 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
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": true,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<|endoftext|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|assistant|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": true,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "<|placeholder1|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": true,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"32003": {
|
55 |
+
"content": "<|placeholder2|>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": true,
|
59 |
+
"single_word": false,
|
60 |
+
"special": true
|
61 |
+
},
|
62 |
+
"32004": {
|
63 |
+
"content": "<|placeholder3|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": true,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"32005": {
|
71 |
+
"content": "<|placeholder4|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": true,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"32006": {
|
79 |
+
"content": "<|system|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": true,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"32007": {
|
87 |
+
"content": "<|end|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": true,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"32008": {
|
95 |
+
"content": "<|placeholder5|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": true,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"32009": {
|
103 |
+
"content": "<|placeholder6|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": true,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"32010": {
|
111 |
+
"content": "<|user|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": true,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
}
|
118 |
+
},
|
119 |
+
"bos_token": "<s>",
|
120 |
+
"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 %}",
|
121 |
+
"clean_up_tokenization_spaces": false,
|
122 |
+
"eos_token": "<|endoftext|>",
|
123 |
+
"legacy": false,
|
124 |
+
"model_max_length": 4096,
|
125 |
+
"pad_token": "<|endoftext|>",
|
126 |
+
"padding_side": "left",
|
127 |
+
"sp_model_kwargs": {},
|
128 |
+
"tokenizer_class": "LlamaTokenizer",
|
129 |
+
"unk_token": "<unk>",
|
130 |
+
"use_default_system_prompt": false
|
131 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,1458 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.6985455751419067,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-200",
|
4 |
+
"epoch": 0.009545286418250587,
|
5 |
+
"eval_steps": 200,
|
6 |
+
"global_step": 200,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 4.772643209125294e-05,
|
13 |
+
"grad_norm": 8.156052589416504,
|
14 |
+
"learning_rate": 6.666666666666667e-06,
|
15 |
+
"loss": 12.5501,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 4.772643209125294e-05,
|
20 |
+
"eval_loss": 3.1170473098754883,
|
21 |
+
"eval_runtime": 95.9454,
|
22 |
+
"eval_samples_per_second": 8.786,
|
23 |
+
"eval_steps_per_second": 4.398,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 9.545286418250588e-05,
|
28 |
+
"grad_norm": 9.274253845214844,
|
29 |
+
"learning_rate": 1.3333333333333333e-05,
|
30 |
+
"loss": 12.0242,
|
31 |
+
"step": 2
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.00014317929627375881,
|
35 |
+
"grad_norm": 7.303795337677002,
|
36 |
+
"learning_rate": 2e-05,
|
37 |
+
"loss": 12.9485,
|
38 |
+
"step": 3
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.00019090572836501175,
|
42 |
+
"grad_norm": 8.46444320678711,
|
43 |
+
"learning_rate": 2.6666666666666667e-05,
|
44 |
+
"loss": 13.4995,
|
45 |
+
"step": 4
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.0002386321604562647,
|
49 |
+
"grad_norm": 15.278627395629883,
|
50 |
+
"learning_rate": 3.3333333333333335e-05,
|
51 |
+
"loss": 12.9846,
|
52 |
+
"step": 5
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.00028635859254751763,
|
56 |
+
"grad_norm": 13.401786804199219,
|
57 |
+
"learning_rate": 4e-05,
|
58 |
+
"loss": 13.6205,
|
59 |
+
"step": 6
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.00033408502463877054,
|
63 |
+
"grad_norm": 11.049997329711914,
|
64 |
+
"learning_rate": 4.666666666666667e-05,
|
65 |
+
"loss": 10.501,
|
66 |
+
"step": 7
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.0003818114567300235,
|
70 |
+
"grad_norm": 7.455288887023926,
|
71 |
+
"learning_rate": 5.333333333333333e-05,
|
72 |
+
"loss": 9.7858,
|
73 |
+
"step": 8
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.0004295378888212764,
|
77 |
+
"grad_norm": 8.7234468460083,
|
78 |
+
"learning_rate": 6e-05,
|
79 |
+
"loss": 14.5011,
|
80 |
+
"step": 9
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.0004772643209125294,
|
84 |
+
"grad_norm": 12.033916473388672,
|
85 |
+
"learning_rate": 6.666666666666667e-05,
|
86 |
+
"loss": 14.7143,
|
87 |
+
"step": 10
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.0005249907530037823,
|
91 |
+
"grad_norm": 8.46088981628418,
|
92 |
+
"learning_rate": 7.333333333333333e-05,
|
93 |
+
"loss": 10.654,
|
94 |
+
"step": 11
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.0005727171850950353,
|
98 |
+
"grad_norm": 6.730998516082764,
|
99 |
+
"learning_rate": 8e-05,
|
100 |
+
"loss": 9.5019,
|
101 |
+
"step": 12
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.0006204436171862882,
|
105 |
+
"grad_norm": 9.581258773803711,
|
106 |
+
"learning_rate": 8.666666666666667e-05,
|
107 |
+
"loss": 13.3483,
|
108 |
+
"step": 13
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.0006681700492775411,
|
112 |
+
"grad_norm": 9.198789596557617,
|
113 |
+
"learning_rate": 9.333333333333334e-05,
|
114 |
+
"loss": 11.0057,
|
115 |
+
"step": 14
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.000715896481368794,
|
119 |
+
"grad_norm": 9.850581169128418,
|
120 |
+
"learning_rate": 0.0001,
|
121 |
+
"loss": 9.8186,
|
122 |
+
"step": 15
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.000763622913460047,
|
126 |
+
"grad_norm": 6.305893898010254,
|
127 |
+
"learning_rate": 0.00010666666666666667,
|
128 |
+
"loss": 8.5701,
|
129 |
+
"step": 16
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.0008113493455513,
|
133 |
+
"grad_norm": 13.963780403137207,
|
134 |
+
"learning_rate": 0.00011333333333333334,
|
135 |
+
"loss": 12.3859,
|
136 |
+
"step": 17
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.0008590757776425528,
|
140 |
+
"grad_norm": 9.068361282348633,
|
141 |
+
"learning_rate": 0.00012,
|
142 |
+
"loss": 9.8092,
|
143 |
+
"step": 18
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.0009068022097338058,
|
147 |
+
"grad_norm": 7.555756092071533,
|
148 |
+
"learning_rate": 0.00012666666666666666,
|
149 |
+
"loss": 8.3725,
|
150 |
+
"step": 19
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.0009545286418250588,
|
154 |
+
"grad_norm": 8.059484481811523,
|
155 |
+
"learning_rate": 0.00013333333333333334,
|
156 |
+
"loss": 9.078,
|
157 |
+
"step": 20
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.0010022550739163117,
|
161 |
+
"grad_norm": 8.002023696899414,
|
162 |
+
"learning_rate": 0.00014,
|
163 |
+
"loss": 8.0143,
|
164 |
+
"step": 21
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.0010499815060075646,
|
168 |
+
"grad_norm": 7.968870162963867,
|
169 |
+
"learning_rate": 0.00014666666666666666,
|
170 |
+
"loss": 9.9062,
|
171 |
+
"step": 22
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.0010977079380988177,
|
175 |
+
"grad_norm": 7.092574119567871,
|
176 |
+
"learning_rate": 0.00015333333333333334,
|
177 |
+
"loss": 8.0895,
|
178 |
+
"step": 23
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.0011454343701900705,
|
182 |
+
"grad_norm": 6.445763111114502,
|
183 |
+
"learning_rate": 0.00016,
|
184 |
+
"loss": 8.1857,
|
185 |
+
"step": 24
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.0011931608022813234,
|
189 |
+
"grad_norm": 6.455519676208496,
|
190 |
+
"learning_rate": 0.0001666666666666667,
|
191 |
+
"loss": 7.3903,
|
192 |
+
"step": 25
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.0012408872343725764,
|
196 |
+
"grad_norm": 5.985039234161377,
|
197 |
+
"learning_rate": 0.00017333333333333334,
|
198 |
+
"loss": 7.787,
|
199 |
+
"step": 26
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.0012886136664638293,
|
203 |
+
"grad_norm": 5.788380146026611,
|
204 |
+
"learning_rate": 0.00018,
|
205 |
+
"loss": 7.7579,
|
206 |
+
"step": 27
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.0013363400985550822,
|
210 |
+
"grad_norm": 7.366934299468994,
|
211 |
+
"learning_rate": 0.0001866666666666667,
|
212 |
+
"loss": 8.845,
|
213 |
+
"step": 28
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.0013840665306463352,
|
217 |
+
"grad_norm": 6.39143180847168,
|
218 |
+
"learning_rate": 0.00019333333333333333,
|
219 |
+
"loss": 7.9672,
|
220 |
+
"step": 29
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.001431792962737588,
|
224 |
+
"grad_norm": 5.3974289894104,
|
225 |
+
"learning_rate": 0.0002,
|
226 |
+
"loss": 6.9981,
|
227 |
+
"step": 30
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.0014795193948288412,
|
231 |
+
"grad_norm": 9.380810737609863,
|
232 |
+
"learning_rate": 0.00019999999987497673,
|
233 |
+
"loss": 7.2882,
|
234 |
+
"step": 31
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.001527245826920094,
|
238 |
+
"grad_norm": 6.234286785125732,
|
239 |
+
"learning_rate": 0.00019999999949990685,
|
240 |
+
"loss": 7.2575,
|
241 |
+
"step": 32
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.0015749722590113469,
|
245 |
+
"grad_norm": 7.635664463043213,
|
246 |
+
"learning_rate": 0.00019999999887479038,
|
247 |
+
"loss": 9.1833,
|
248 |
+
"step": 33
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.0016226986911026,
|
252 |
+
"grad_norm": 5.845251083374023,
|
253 |
+
"learning_rate": 0.00019999999799962735,
|
254 |
+
"loss": 6.3639,
|
255 |
+
"step": 34
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.0016704251231938528,
|
259 |
+
"grad_norm": 6.020627021789551,
|
260 |
+
"learning_rate": 0.00019999999687441772,
|
261 |
+
"loss": 8.5162,
|
262 |
+
"step": 35
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.0017181515552851057,
|
266 |
+
"grad_norm": 7.508661270141602,
|
267 |
+
"learning_rate": 0.00019999999549916153,
|
268 |
+
"loss": 7.2014,
|
269 |
+
"step": 36
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.0017658779873763587,
|
273 |
+
"grad_norm": 63.37688446044922,
|
274 |
+
"learning_rate": 0.00019999999387385878,
|
275 |
+
"loss": 8.6904,
|
276 |
+
"step": 37
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.0018136044194676116,
|
280 |
+
"grad_norm": 6.846808433532715,
|
281 |
+
"learning_rate": 0.00019999999199850943,
|
282 |
+
"loss": 9.6905,
|
283 |
+
"step": 38
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.0018613308515588647,
|
287 |
+
"grad_norm": 7.53931999206543,
|
288 |
+
"learning_rate": 0.0001999999898731135,
|
289 |
+
"loss": 7.0634,
|
290 |
+
"step": 39
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.0019090572836501175,
|
294 |
+
"grad_norm": 7.517793655395508,
|
295 |
+
"learning_rate": 0.00019999998749767108,
|
296 |
+
"loss": 8.7579,
|
297 |
+
"step": 40
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.0019567837157413704,
|
301 |
+
"grad_norm": 6.793584823608398,
|
302 |
+
"learning_rate": 0.00019999998487218207,
|
303 |
+
"loss": 6.5392,
|
304 |
+
"step": 41
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.0020045101478326235,
|
308 |
+
"grad_norm": 5.361453056335449,
|
309 |
+
"learning_rate": 0.0001999999819966465,
|
310 |
+
"loss": 7.2578,
|
311 |
+
"step": 42
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.0020522365799238765,
|
315 |
+
"grad_norm": 5.260591506958008,
|
316 |
+
"learning_rate": 0.00019999997887106444,
|
317 |
+
"loss": 6.9882,
|
318 |
+
"step": 43
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.002099963012015129,
|
322 |
+
"grad_norm": 5.026567459106445,
|
323 |
+
"learning_rate": 0.0001999999754954358,
|
324 |
+
"loss": 6.6926,
|
325 |
+
"step": 44
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.0021476894441063822,
|
329 |
+
"grad_norm": 4.541498184204102,
|
330 |
+
"learning_rate": 0.00019999997186976066,
|
331 |
+
"loss": 5.9309,
|
332 |
+
"step": 45
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.0021954158761976353,
|
336 |
+
"grad_norm": 4.459763050079346,
|
337 |
+
"learning_rate": 0.000199999967994039,
|
338 |
+
"loss": 5.5164,
|
339 |
+
"step": 46
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.002243142308288888,
|
343 |
+
"grad_norm": 5.727092266082764,
|
344 |
+
"learning_rate": 0.00019999996386827084,
|
345 |
+
"loss": 6.5041,
|
346 |
+
"step": 47
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.002290868740380141,
|
350 |
+
"grad_norm": 5.828995227813721,
|
351 |
+
"learning_rate": 0.00019999995949245616,
|
352 |
+
"loss": 8.1646,
|
353 |
+
"step": 48
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.002338595172471394,
|
357 |
+
"grad_norm": 5.327517509460449,
|
358 |
+
"learning_rate": 0.00019999995486659505,
|
359 |
+
"loss": 5.8227,
|
360 |
+
"step": 49
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.0023863216045626467,
|
364 |
+
"grad_norm": 6.896716117858887,
|
365 |
+
"learning_rate": 0.0001999999499906874,
|
366 |
+
"loss": 7.6883,
|
367 |
+
"step": 50
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.0024340480366539,
|
371 |
+
"grad_norm": 7.029616832733154,
|
372 |
+
"learning_rate": 0.00019999994486473335,
|
373 |
+
"loss": 8.2224,
|
374 |
+
"step": 51
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.002481774468745153,
|
378 |
+
"grad_norm": 8.25517749786377,
|
379 |
+
"learning_rate": 0.00019999993948873284,
|
380 |
+
"loss": 8.5333,
|
381 |
+
"step": 52
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.0025295009008364055,
|
385 |
+
"grad_norm": 7.740312576293945,
|
386 |
+
"learning_rate": 0.0001999999338626859,
|
387 |
+
"loss": 9.7768,
|
388 |
+
"step": 53
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.0025772273329276586,
|
392 |
+
"grad_norm": 8.219902992248535,
|
393 |
+
"learning_rate": 0.00019999992798659254,
|
394 |
+
"loss": 9.2211,
|
395 |
+
"step": 54
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.0026249537650189117,
|
399 |
+
"grad_norm": 5.783295154571533,
|
400 |
+
"learning_rate": 0.00019999992186045277,
|
401 |
+
"loss": 5.6035,
|
402 |
+
"step": 55
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.0026726801971101643,
|
406 |
+
"grad_norm": 6.954888820648193,
|
407 |
+
"learning_rate": 0.0001999999154842666,
|
408 |
+
"loss": 7.6935,
|
409 |
+
"step": 56
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.0027204066292014174,
|
413 |
+
"grad_norm": 4.878210544586182,
|
414 |
+
"learning_rate": 0.00019999990885803407,
|
415 |
+
"loss": 4.9927,
|
416 |
+
"step": 57
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.0027681330612926705,
|
420 |
+
"grad_norm": 8.59322738647461,
|
421 |
+
"learning_rate": 0.00019999990198175518,
|
422 |
+
"loss": 8.2478,
|
423 |
+
"step": 58
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.0028158594933839235,
|
427 |
+
"grad_norm": 7.328903675079346,
|
428 |
+
"learning_rate": 0.00019999989485542996,
|
429 |
+
"loss": 7.7432,
|
430 |
+
"step": 59
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.002863585925475176,
|
434 |
+
"grad_norm": 7.1839599609375,
|
435 |
+
"learning_rate": 0.00019999988747905842,
|
436 |
+
"loss": 8.6058,
|
437 |
+
"step": 60
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.0029113123575664293,
|
441 |
+
"grad_norm": 6.993515491485596,
|
442 |
+
"learning_rate": 0.00019999987985264058,
|
443 |
+
"loss": 8.6523,
|
444 |
+
"step": 61
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.0029590387896576823,
|
448 |
+
"grad_norm": 7.754829406738281,
|
449 |
+
"learning_rate": 0.00019999987197617643,
|
450 |
+
"loss": 7.7147,
|
451 |
+
"step": 62
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.003006765221748935,
|
455 |
+
"grad_norm": 6.434046268463135,
|
456 |
+
"learning_rate": 0.00019999986384966603,
|
457 |
+
"loss": 6.4865,
|
458 |
+
"step": 63
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.003054491653840188,
|
462 |
+
"grad_norm": 4.396024703979492,
|
463 |
+
"learning_rate": 0.0001999998554731094,
|
464 |
+
"loss": 5.6103,
|
465 |
+
"step": 64
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.003102218085931441,
|
469 |
+
"grad_norm": 5.07852840423584,
|
470 |
+
"learning_rate": 0.00019999984684650654,
|
471 |
+
"loss": 7.4121,
|
472 |
+
"step": 65
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.0031499445180226938,
|
476 |
+
"grad_norm": 6.753673076629639,
|
477 |
+
"learning_rate": 0.00019999983796985748,
|
478 |
+
"loss": 7.207,
|
479 |
+
"step": 66
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.003197670950113947,
|
483 |
+
"grad_norm": 5.469264030456543,
|
484 |
+
"learning_rate": 0.00019999982884316223,
|
485 |
+
"loss": 5.161,
|
486 |
+
"step": 67
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.0032453973822052,
|
490 |
+
"grad_norm": 6.778441905975342,
|
491 |
+
"learning_rate": 0.00019999981946642085,
|
492 |
+
"loss": 6.7959,
|
493 |
+
"step": 68
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.0032931238142964525,
|
497 |
+
"grad_norm": 5.161728382110596,
|
498 |
+
"learning_rate": 0.0001999998098396333,
|
499 |
+
"loss": 6.7924,
|
500 |
+
"step": 69
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.0033408502463877056,
|
504 |
+
"grad_norm": 6.251170635223389,
|
505 |
+
"learning_rate": 0.0001999997999627997,
|
506 |
+
"loss": 7.2183,
|
507 |
+
"step": 70
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.0033885766784789587,
|
511 |
+
"grad_norm": 6.930290222167969,
|
512 |
+
"learning_rate": 0.00019999978983591997,
|
513 |
+
"loss": 7.5263,
|
514 |
+
"step": 71
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.0034363031105702113,
|
518 |
+
"grad_norm": 7.092405796051025,
|
519 |
+
"learning_rate": 0.0001999997794589942,
|
520 |
+
"loss": 9.01,
|
521 |
+
"step": 72
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.0034840295426614644,
|
525 |
+
"grad_norm": 6.196310997009277,
|
526 |
+
"learning_rate": 0.00019999976883202237,
|
527 |
+
"loss": 7.5049,
|
528 |
+
"step": 73
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.0035317559747527175,
|
532 |
+
"grad_norm": 5.769287586212158,
|
533 |
+
"learning_rate": 0.00019999975795500455,
|
534 |
+
"loss": 7.797,
|
535 |
+
"step": 74
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.0035794824068439706,
|
539 |
+
"grad_norm": 5.971030235290527,
|
540 |
+
"learning_rate": 0.00019999974682794076,
|
541 |
+
"loss": 6.4961,
|
542 |
+
"step": 75
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.003627208838935223,
|
546 |
+
"grad_norm": 4.6939697265625,
|
547 |
+
"learning_rate": 0.000199999735450831,
|
548 |
+
"loss": 6.9824,
|
549 |
+
"step": 76
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.0036749352710264763,
|
553 |
+
"grad_norm": 7.828939437866211,
|
554 |
+
"learning_rate": 0.00019999972382367536,
|
555 |
+
"loss": 10.0984,
|
556 |
+
"step": 77
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.0037226617031177293,
|
560 |
+
"grad_norm": 5.222005367279053,
|
561 |
+
"learning_rate": 0.00019999971194647377,
|
562 |
+
"loss": 7.0103,
|
563 |
+
"step": 78
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.003770388135208982,
|
567 |
+
"grad_norm": 5.610576152801514,
|
568 |
+
"learning_rate": 0.00019999969981922638,
|
569 |
+
"loss": 7.0152,
|
570 |
+
"step": 79
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.003818114567300235,
|
574 |
+
"grad_norm": 7.603675842285156,
|
575 |
+
"learning_rate": 0.00019999968744193312,
|
576 |
+
"loss": 6.8389,
|
577 |
+
"step": 80
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.003865840999391488,
|
581 |
+
"grad_norm": 5.232549667358398,
|
582 |
+
"learning_rate": 0.00019999967481459406,
|
583 |
+
"loss": 6.354,
|
584 |
+
"step": 81
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.003913567431482741,
|
588 |
+
"grad_norm": 6.516291618347168,
|
589 |
+
"learning_rate": 0.00019999966193720922,
|
590 |
+
"loss": 7.2243,
|
591 |
+
"step": 82
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.003961293863573994,
|
595 |
+
"grad_norm": 5.813276290893555,
|
596 |
+
"learning_rate": 0.00019999964880977866,
|
597 |
+
"loss": 6.343,
|
598 |
+
"step": 83
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.004009020295665247,
|
602 |
+
"grad_norm": 4.524149417877197,
|
603 |
+
"learning_rate": 0.0001999996354323024,
|
604 |
+
"loss": 7.7151,
|
605 |
+
"step": 84
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.0040567467277565,
|
609 |
+
"grad_norm": 4.268386363983154,
|
610 |
+
"learning_rate": 0.00019999962180478043,
|
611 |
+
"loss": 6.0883,
|
612 |
+
"step": 85
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.004104473159847753,
|
616 |
+
"grad_norm": 16.34364891052246,
|
617 |
+
"learning_rate": 0.00019999960792721285,
|
618 |
+
"loss": 10.0296,
|
619 |
+
"step": 86
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.004152199591939005,
|
623 |
+
"grad_norm": 4.498778820037842,
|
624 |
+
"learning_rate": 0.00019999959379959968,
|
625 |
+
"loss": 7.1151,
|
626 |
+
"step": 87
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.004199926024030258,
|
630 |
+
"grad_norm": 5.004024028778076,
|
631 |
+
"learning_rate": 0.00019999957942194092,
|
632 |
+
"loss": 6.8547,
|
633 |
+
"step": 88
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.004247652456121511,
|
637 |
+
"grad_norm": 5.410999298095703,
|
638 |
+
"learning_rate": 0.00019999956479423663,
|
639 |
+
"loss": 7.0691,
|
640 |
+
"step": 89
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.0042953788882127645,
|
644 |
+
"grad_norm": 5.083662033081055,
|
645 |
+
"learning_rate": 0.00019999954991648683,
|
646 |
+
"loss": 7.1524,
|
647 |
+
"step": 90
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.004343105320304018,
|
651 |
+
"grad_norm": 4.258586406707764,
|
652 |
+
"learning_rate": 0.0001999995347886916,
|
653 |
+
"loss": 6.7408,
|
654 |
+
"step": 91
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.004390831752395271,
|
658 |
+
"grad_norm": 3.56187105178833,
|
659 |
+
"learning_rate": 0.00019999951941085097,
|
660 |
+
"loss": 4.324,
|
661 |
+
"step": 92
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.004438558184486523,
|
665 |
+
"grad_norm": 5.012781143188477,
|
666 |
+
"learning_rate": 0.0001999995037829649,
|
667 |
+
"loss": 6.2041,
|
668 |
+
"step": 93
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.004486284616577776,
|
672 |
+
"grad_norm": 6.942680835723877,
|
673 |
+
"learning_rate": 0.0001999994879050335,
|
674 |
+
"loss": 5.8268,
|
675 |
+
"step": 94
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.004534011048669029,
|
679 |
+
"grad_norm": 5.844181060791016,
|
680 |
+
"learning_rate": 0.0001999994717770568,
|
681 |
+
"loss": 6.4547,
|
682 |
+
"step": 95
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.004581737480760282,
|
686 |
+
"grad_norm": 5.277218341827393,
|
687 |
+
"learning_rate": 0.00019999945539903486,
|
688 |
+
"loss": 6.5379,
|
689 |
+
"step": 96
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.004629463912851535,
|
693 |
+
"grad_norm": 6.048219680786133,
|
694 |
+
"learning_rate": 0.0001999994387709677,
|
695 |
+
"loss": 6.9474,
|
696 |
+
"step": 97
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.004677190344942788,
|
700 |
+
"grad_norm": 10.516984939575195,
|
701 |
+
"learning_rate": 0.0001999994218928553,
|
702 |
+
"loss": 6.5548,
|
703 |
+
"step": 98
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.004724916777034041,
|
707 |
+
"grad_norm": 4.922785758972168,
|
708 |
+
"learning_rate": 0.00019999940476469785,
|
709 |
+
"loss": 6.4903,
|
710 |
+
"step": 99
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.0047726432091252935,
|
714 |
+
"grad_norm": 5.574140548706055,
|
715 |
+
"learning_rate": 0.00019999938738649524,
|
716 |
+
"loss": 6.753,
|
717 |
+
"step": 100
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.004820369641216547,
|
721 |
+
"grad_norm": 5.692989349365234,
|
722 |
+
"learning_rate": 0.00019999936975824761,
|
723 |
+
"loss": 7.8935,
|
724 |
+
"step": 101
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 0.0048680960733078,
|
728 |
+
"grad_norm": 3.9527132511138916,
|
729 |
+
"learning_rate": 0.00019999935187995496,
|
730 |
+
"loss": 5.6235,
|
731 |
+
"step": 102
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 0.004915822505399053,
|
735 |
+
"grad_norm": 4.653379440307617,
|
736 |
+
"learning_rate": 0.00019999933375161737,
|
737 |
+
"loss": 6.1317,
|
738 |
+
"step": 103
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 0.004963548937490306,
|
742 |
+
"grad_norm": 5.225219249725342,
|
743 |
+
"learning_rate": 0.00019999931537323482,
|
744 |
+
"loss": 7.7239,
|
745 |
+
"step": 104
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 0.005011275369581559,
|
749 |
+
"grad_norm": 5.7530517578125,
|
750 |
+
"learning_rate": 0.00019999929674480743,
|
751 |
+
"loss": 9.6706,
|
752 |
+
"step": 105
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.005059001801672811,
|
756 |
+
"grad_norm": 4.033590316772461,
|
757 |
+
"learning_rate": 0.0001999992778663352,
|
758 |
+
"loss": 5.506,
|
759 |
+
"step": 106
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.005106728233764064,
|
763 |
+
"grad_norm": 6.715490341186523,
|
764 |
+
"learning_rate": 0.0001999992587378182,
|
765 |
+
"loss": 7.9386,
|
766 |
+
"step": 107
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 0.005154454665855317,
|
770 |
+
"grad_norm": 4.433899402618408,
|
771 |
+
"learning_rate": 0.00019999923935925648,
|
772 |
+
"loss": 7.3948,
|
773 |
+
"step": 108
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 0.00520218109794657,
|
777 |
+
"grad_norm": 4.419589519500732,
|
778 |
+
"learning_rate": 0.00019999921973065004,
|
779 |
+
"loss": 5.1343,
|
780 |
+
"step": 109
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 0.005249907530037823,
|
784 |
+
"grad_norm": 3.680023193359375,
|
785 |
+
"learning_rate": 0.00019999919985199898,
|
786 |
+
"loss": 5.7496,
|
787 |
+
"step": 110
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 0.0052976339621290764,
|
791 |
+
"grad_norm": 4.177944660186768,
|
792 |
+
"learning_rate": 0.00019999917972330334,
|
793 |
+
"loss": 5.9936,
|
794 |
+
"step": 111
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 0.005345360394220329,
|
798 |
+
"grad_norm": 4.320446014404297,
|
799 |
+
"learning_rate": 0.0001999991593445632,
|
800 |
+
"loss": 7.4622,
|
801 |
+
"step": 112
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.005393086826311582,
|
805 |
+
"grad_norm": 3.077852725982666,
|
806 |
+
"learning_rate": 0.00019999913871577855,
|
807 |
+
"loss": 3.8202,
|
808 |
+
"step": 113
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.005440813258402835,
|
812 |
+
"grad_norm": 4.988670825958252,
|
813 |
+
"learning_rate": 0.0001999991178369495,
|
814 |
+
"loss": 6.3419,
|
815 |
+
"step": 114
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 0.005488539690494088,
|
819 |
+
"grad_norm": 6.100823879241943,
|
820 |
+
"learning_rate": 0.00019999909670807603,
|
821 |
+
"loss": 7.4201,
|
822 |
+
"step": 115
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 0.005536266122585341,
|
826 |
+
"grad_norm": 5.46522331237793,
|
827 |
+
"learning_rate": 0.00019999907532915824,
|
828 |
+
"loss": 7.8764,
|
829 |
+
"step": 116
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"epoch": 0.005583992554676594,
|
833 |
+
"grad_norm": 5.026033878326416,
|
834 |
+
"learning_rate": 0.0001999990537001962,
|
835 |
+
"loss": 8.8585,
|
836 |
+
"step": 117
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 0.005631718986767847,
|
840 |
+
"grad_norm": 5.422964096069336,
|
841 |
+
"learning_rate": 0.0001999990318211899,
|
842 |
+
"loss": 7.0363,
|
843 |
+
"step": 118
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 0.005679445418859099,
|
847 |
+
"grad_norm": 5.562786102294922,
|
848 |
+
"learning_rate": 0.0001999990096921395,
|
849 |
+
"loss": 8.6947,
|
850 |
+
"step": 119
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 0.005727171850950352,
|
854 |
+
"grad_norm": 4.488889217376709,
|
855 |
+
"learning_rate": 0.00019999898731304496,
|
856 |
+
"loss": 6.6352,
|
857 |
+
"step": 120
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 0.0057748982830416054,
|
861 |
+
"grad_norm": 6.206261157989502,
|
862 |
+
"learning_rate": 0.00019999896468390636,
|
863 |
+
"loss": 8.9197,
|
864 |
+
"step": 121
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 0.0058226247151328585,
|
868 |
+
"grad_norm": 3.885154962539673,
|
869 |
+
"learning_rate": 0.00019999894180472376,
|
870 |
+
"loss": 6.5824,
|
871 |
+
"step": 122
|
872 |
+
},
|
873 |
+
{
|
874 |
+
"epoch": 0.005870351147224112,
|
875 |
+
"grad_norm": 4.657262325286865,
|
876 |
+
"learning_rate": 0.00019999891867549725,
|
877 |
+
"loss": 7.4743,
|
878 |
+
"step": 123
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.005918077579315365,
|
882 |
+
"grad_norm": 4.30035924911499,
|
883 |
+
"learning_rate": 0.00019999889529622684,
|
884 |
+
"loss": 7.2783,
|
885 |
+
"step": 124
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.005965804011406617,
|
889 |
+
"grad_norm": 9.447369575500488,
|
890 |
+
"learning_rate": 0.00019999887166691262,
|
891 |
+
"loss": 7.4739,
|
892 |
+
"step": 125
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 0.00601353044349787,
|
896 |
+
"grad_norm": 4.820959568023682,
|
897 |
+
"learning_rate": 0.00019999884778755465,
|
898 |
+
"loss": 6.1332,
|
899 |
+
"step": 126
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.006061256875589123,
|
903 |
+
"grad_norm": 6.934280872344971,
|
904 |
+
"learning_rate": 0.00019999882365815294,
|
905 |
+
"loss": 6.8292,
|
906 |
+
"step": 127
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 0.006108983307680376,
|
910 |
+
"grad_norm": 4.936176776885986,
|
911 |
+
"learning_rate": 0.00019999879927870762,
|
912 |
+
"loss": 8.7501,
|
913 |
+
"step": 128
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 0.006156709739771629,
|
917 |
+
"grad_norm": 5.515492916107178,
|
918 |
+
"learning_rate": 0.0001999987746492187,
|
919 |
+
"loss": 7.3772,
|
920 |
+
"step": 129
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.006204436171862882,
|
924 |
+
"grad_norm": 5.130324363708496,
|
925 |
+
"learning_rate": 0.00019999874976968626,
|
926 |
+
"loss": 9.1506,
|
927 |
+
"step": 130
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.006252162603954135,
|
931 |
+
"grad_norm": 4.996119976043701,
|
932 |
+
"learning_rate": 0.00019999872464011037,
|
933 |
+
"loss": 6.213,
|
934 |
+
"step": 131
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 0.0062998890360453875,
|
938 |
+
"grad_norm": 4.5611114501953125,
|
939 |
+
"learning_rate": 0.0001999986992604911,
|
940 |
+
"loss": 7.0564,
|
941 |
+
"step": 132
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 0.006347615468136641,
|
945 |
+
"grad_norm": 12.032221794128418,
|
946 |
+
"learning_rate": 0.0001999986736308285,
|
947 |
+
"loss": 4.7228,
|
948 |
+
"step": 133
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 0.006395341900227894,
|
952 |
+
"grad_norm": 4.067997455596924,
|
953 |
+
"learning_rate": 0.0001999986477511226,
|
954 |
+
"loss": 6.1123,
|
955 |
+
"step": 134
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 0.006443068332319147,
|
959 |
+
"grad_norm": 5.277679920196533,
|
960 |
+
"learning_rate": 0.0001999986216213735,
|
961 |
+
"loss": 8.8908,
|
962 |
+
"step": 135
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.0064907947644104,
|
966 |
+
"grad_norm": 6.415206432342529,
|
967 |
+
"learning_rate": 0.0001999985952415813,
|
968 |
+
"loss": 7.0391,
|
969 |
+
"step": 136
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.006538521196501653,
|
973 |
+
"grad_norm": 6.522372245788574,
|
974 |
+
"learning_rate": 0.000199998568611746,
|
975 |
+
"loss": 8.9838,
|
976 |
+
"step": 137
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 0.006586247628592905,
|
980 |
+
"grad_norm": 5.012221336364746,
|
981 |
+
"learning_rate": 0.0001999985417318677,
|
982 |
+
"loss": 7.661,
|
983 |
+
"step": 138
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 0.006633974060684158,
|
987 |
+
"grad_norm": 5.40250825881958,
|
988 |
+
"learning_rate": 0.00019999851460194646,
|
989 |
+
"loss": 7.2033,
|
990 |
+
"step": 139
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 0.006681700492775411,
|
994 |
+
"grad_norm": 5.069441795349121,
|
995 |
+
"learning_rate": 0.00019999848722198236,
|
996 |
+
"loss": 6.6148,
|
997 |
+
"step": 140
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 0.006729426924866664,
|
1001 |
+
"grad_norm": 5.3148064613342285,
|
1002 |
+
"learning_rate": 0.00019999845959197546,
|
1003 |
+
"loss": 7.3913,
|
1004 |
+
"step": 141
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.006777153356957917,
|
1008 |
+
"grad_norm": 4.556090354919434,
|
1009 |
+
"learning_rate": 0.00019999843171192582,
|
1010 |
+
"loss": 4.5144,
|
1011 |
+
"step": 142
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.0068248797890491705,
|
1015 |
+
"grad_norm": 4.365043640136719,
|
1016 |
+
"learning_rate": 0.0001999984035818335,
|
1017 |
+
"loss": 6.4603,
|
1018 |
+
"step": 143
|
1019 |
+
},
|
1020 |
+
{
|
1021 |
+
"epoch": 0.006872606221140423,
|
1022 |
+
"grad_norm": 7.352154731750488,
|
1023 |
+
"learning_rate": 0.0001999983752016986,
|
1024 |
+
"loss": 6.9395,
|
1025 |
+
"step": 144
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 0.006920332653231676,
|
1029 |
+
"grad_norm": 5.900674819946289,
|
1030 |
+
"learning_rate": 0.00019999834657152122,
|
1031 |
+
"loss": 5.3865,
|
1032 |
+
"step": 145
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 0.006968059085322929,
|
1036 |
+
"grad_norm": 4.4542670249938965,
|
1037 |
+
"learning_rate": 0.00019999831769130133,
|
1038 |
+
"loss": 5.7073,
|
1039 |
+
"step": 146
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 0.007015785517414182,
|
1043 |
+
"grad_norm": 4.517548561096191,
|
1044 |
+
"learning_rate": 0.0001999982885610391,
|
1045 |
+
"loss": 5.8635,
|
1046 |
+
"step": 147
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 0.007063511949505435,
|
1050 |
+
"grad_norm": 4.733120441436768,
|
1051 |
+
"learning_rate": 0.00019999825918073455,
|
1052 |
+
"loss": 7.162,
|
1053 |
+
"step": 148
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.007111238381596688,
|
1057 |
+
"grad_norm": 5.98193359375,
|
1058 |
+
"learning_rate": 0.00019999822955038776,
|
1059 |
+
"loss": 8.3258,
|
1060 |
+
"step": 149
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 0.007158964813687941,
|
1064 |
+
"grad_norm": 5.3873610496521,
|
1065 |
+
"learning_rate": 0.00019999819966999883,
|
1066 |
+
"loss": 7.9001,
|
1067 |
+
"step": 150
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 0.007206691245779193,
|
1071 |
+
"grad_norm": 8.724983215332031,
|
1072 |
+
"learning_rate": 0.00019999816953956783,
|
1073 |
+
"loss": 8.8156,
|
1074 |
+
"step": 151
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 0.007254417677870446,
|
1078 |
+
"grad_norm": 5.680585861206055,
|
1079 |
+
"learning_rate": 0.0001999981391590948,
|
1080 |
+
"loss": 6.7082,
|
1081 |
+
"step": 152
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.0073021441099616995,
|
1085 |
+
"grad_norm": 6.000738620758057,
|
1086 |
+
"learning_rate": 0.00019999810852857985,
|
1087 |
+
"loss": 7.2123,
|
1088 |
+
"step": 153
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.0073498705420529525,
|
1092 |
+
"grad_norm": 5.984689712524414,
|
1093 |
+
"learning_rate": 0.00019999807764802303,
|
1094 |
+
"loss": 6.9426,
|
1095 |
+
"step": 154
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.007397596974144206,
|
1099 |
+
"grad_norm": 6.926332473754883,
|
1100 |
+
"learning_rate": 0.00019999804651742447,
|
1101 |
+
"loss": 7.4237,
|
1102 |
+
"step": 155
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 0.007445323406235459,
|
1106 |
+
"grad_norm": 4.661206245422363,
|
1107 |
+
"learning_rate": 0.00019999801513678417,
|
1108 |
+
"loss": 7.7377,
|
1109 |
+
"step": 156
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 0.007493049838326711,
|
1113 |
+
"grad_norm": 4.511832237243652,
|
1114 |
+
"learning_rate": 0.00019999798350610229,
|
1115 |
+
"loss": 5.908,
|
1116 |
+
"step": 157
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 0.007540776270417964,
|
1120 |
+
"grad_norm": 4.867547512054443,
|
1121 |
+
"learning_rate": 0.00019999795162537886,
|
1122 |
+
"loss": 6.5205,
|
1123 |
+
"step": 158
|
1124 |
+
},
|
1125 |
+
{
|
1126 |
+
"epoch": 0.007588502702509217,
|
1127 |
+
"grad_norm": 6.225820541381836,
|
1128 |
+
"learning_rate": 0.00019999791949461393,
|
1129 |
+
"loss": 7.0262,
|
1130 |
+
"step": 159
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 0.00763622913460047,
|
1134 |
+
"grad_norm": 5.769981384277344,
|
1135 |
+
"learning_rate": 0.00019999788711380764,
|
1136 |
+
"loss": 6.9616,
|
1137 |
+
"step": 160
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.007683955566691723,
|
1141 |
+
"grad_norm": 5.535105228424072,
|
1142 |
+
"learning_rate": 0.00019999785448296005,
|
1143 |
+
"loss": 7.2659,
|
1144 |
+
"step": 161
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 0.007731681998782976,
|
1148 |
+
"grad_norm": 4.4427642822265625,
|
1149 |
+
"learning_rate": 0.00019999782160207125,
|
1150 |
+
"loss": 5.8697,
|
1151 |
+
"step": 162
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 0.007779408430874229,
|
1155 |
+
"grad_norm": 7.328268527984619,
|
1156 |
+
"learning_rate": 0.0001999977884711413,
|
1157 |
+
"loss": 6.6268,
|
1158 |
+
"step": 163
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 0.007827134862965482,
|
1162 |
+
"grad_norm": 6.006573677062988,
|
1163 |
+
"learning_rate": 0.00019999775509017028,
|
1164 |
+
"loss": 9.1153,
|
1165 |
+
"step": 164
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 0.007874861295056735,
|
1169 |
+
"grad_norm": 4.760677814483643,
|
1170 |
+
"learning_rate": 0.00019999772145915833,
|
1171 |
+
"loss": 6.9565,
|
1172 |
+
"step": 165
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.007922587727147988,
|
1176 |
+
"grad_norm": 4.592026233673096,
|
1177 |
+
"learning_rate": 0.00019999768757810547,
|
1178 |
+
"loss": 5.6614,
|
1179 |
+
"step": 166
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.00797031415923924,
|
1183 |
+
"grad_norm": 4.596296310424805,
|
1184 |
+
"learning_rate": 0.00019999765344701182,
|
1185 |
+
"loss": 6.0717,
|
1186 |
+
"step": 167
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 0.008018040591330494,
|
1190 |
+
"grad_norm": 5.7095417976379395,
|
1191 |
+
"learning_rate": 0.00019999761906587743,
|
1192 |
+
"loss": 8.2684,
|
1193 |
+
"step": 168
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.008065767023421747,
|
1197 |
+
"grad_norm": 5.1179986000061035,
|
1198 |
+
"learning_rate": 0.00019999758443470245,
|
1199 |
+
"loss": 6.6392,
|
1200 |
+
"step": 169
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 0.008113493455513,
|
1204 |
+
"grad_norm": 5.473196983337402,
|
1205 |
+
"learning_rate": 0.00019999754955348688,
|
1206 |
+
"loss": 5.9417,
|
1207 |
+
"step": 170
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 0.008161219887604253,
|
1211 |
+
"grad_norm": 4.3178324699401855,
|
1212 |
+
"learning_rate": 0.0001999975144222309,
|
1213 |
+
"loss": 6.3279,
|
1214 |
+
"step": 171
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.008208946319695506,
|
1218 |
+
"grad_norm": 6.818999767303467,
|
1219 |
+
"learning_rate": 0.00019999747904093451,
|
1220 |
+
"loss": 7.9789,
|
1221 |
+
"step": 172
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.008256672751786757,
|
1225 |
+
"grad_norm": 4.3126983642578125,
|
1226 |
+
"learning_rate": 0.00019999744340959787,
|
1227 |
+
"loss": 6.9174,
|
1228 |
+
"step": 173
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 0.00830439918387801,
|
1232 |
+
"grad_norm": 5.491178512573242,
|
1233 |
+
"learning_rate": 0.00019999740752822104,
|
1234 |
+
"loss": 7.5142,
|
1235 |
+
"step": 174
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 0.008352125615969264,
|
1239 |
+
"grad_norm": 6.331181526184082,
|
1240 |
+
"learning_rate": 0.0001999973713968041,
|
1241 |
+
"loss": 7.3434,
|
1242 |
+
"step": 175
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 0.008399852048060517,
|
1246 |
+
"grad_norm": 5.401471138000488,
|
1247 |
+
"learning_rate": 0.00019999733501534713,
|
1248 |
+
"loss": 6.7435,
|
1249 |
+
"step": 176
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.00844757848015177,
|
1253 |
+
"grad_norm": 4.26669979095459,
|
1254 |
+
"learning_rate": 0.00019999729838385025,
|
1255 |
+
"loss": 5.7267,
|
1256 |
+
"step": 177
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 0.008495304912243023,
|
1260 |
+
"grad_norm": 3.7150814533233643,
|
1261 |
+
"learning_rate": 0.00019999726150231355,
|
1262 |
+
"loss": 5.5032,
|
1263 |
+
"step": 178
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.008543031344334276,
|
1267 |
+
"grad_norm": 5.715814113616943,
|
1268 |
+
"learning_rate": 0.00019999722437073712,
|
1269 |
+
"loss": 7.3256,
|
1270 |
+
"step": 179
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 0.008590757776425529,
|
1274 |
+
"grad_norm": 4.25509786605835,
|
1275 |
+
"learning_rate": 0.000199997186989121,
|
1276 |
+
"loss": 5.542,
|
1277 |
+
"step": 180
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 0.008638484208516782,
|
1281 |
+
"grad_norm": 4.596546173095703,
|
1282 |
+
"learning_rate": 0.0001999971493574654,
|
1283 |
+
"loss": 6.845,
|
1284 |
+
"step": 181
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 0.008686210640608035,
|
1288 |
+
"grad_norm": 5.3774309158325195,
|
1289 |
+
"learning_rate": 0.00019999711147577028,
|
1290 |
+
"loss": 7.6096,
|
1291 |
+
"step": 182
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 0.008733937072699288,
|
1295 |
+
"grad_norm": 5.344915390014648,
|
1296 |
+
"learning_rate": 0.00019999707334403586,
|
1297 |
+
"loss": 7.2455,
|
1298 |
+
"step": 183
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 0.008781663504790541,
|
1302 |
+
"grad_norm": 5.402298450469971,
|
1303 |
+
"learning_rate": 0.00019999703496226213,
|
1304 |
+
"loss": 7.7967,
|
1305 |
+
"step": 184
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.008829389936881794,
|
1309 |
+
"grad_norm": 3.6488380432128906,
|
1310 |
+
"learning_rate": 0.00019999699633044927,
|
1311 |
+
"loss": 4.383,
|
1312 |
+
"step": 185
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 0.008877116368973046,
|
1316 |
+
"grad_norm": 6.237378120422363,
|
1317 |
+
"learning_rate": 0.0001999969574485973,
|
1318 |
+
"loss": 8.9452,
|
1319 |
+
"step": 186
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.008924842801064299,
|
1323 |
+
"grad_norm": 6.196676731109619,
|
1324 |
+
"learning_rate": 0.00019999691831670634,
|
1325 |
+
"loss": 5.9055,
|
1326 |
+
"step": 187
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 0.008972569233155552,
|
1330 |
+
"grad_norm": 5.825589656829834,
|
1331 |
+
"learning_rate": 0.00019999687893477655,
|
1332 |
+
"loss": 7.6183,
|
1333 |
+
"step": 188
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 0.009020295665246805,
|
1337 |
+
"grad_norm": 4.964183807373047,
|
1338 |
+
"learning_rate": 0.00019999683930280795,
|
1339 |
+
"loss": 6.7619,
|
1340 |
+
"step": 189
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 0.009068022097338058,
|
1344 |
+
"grad_norm": 5.618199825286865,
|
1345 |
+
"learning_rate": 0.0001999967994208007,
|
1346 |
+
"loss": 8.0128,
|
1347 |
+
"step": 190
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.009115748529429311,
|
1351 |
+
"grad_norm": 4.945575714111328,
|
1352 |
+
"learning_rate": 0.00019999675928875484,
|
1353 |
+
"loss": 5.723,
|
1354 |
+
"step": 191
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 0.009163474961520564,
|
1358 |
+
"grad_norm": 3.8588993549346924,
|
1359 |
+
"learning_rate": 0.0001999967189066705,
|
1360 |
+
"loss": 6.2638,
|
1361 |
+
"step": 192
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.009211201393611817,
|
1365 |
+
"grad_norm": 5.020188331604004,
|
1366 |
+
"learning_rate": 0.0001999966782745478,
|
1367 |
+
"loss": 7.6009,
|
1368 |
+
"step": 193
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 0.00925892782570307,
|
1372 |
+
"grad_norm": 4.792932033538818,
|
1373 |
+
"learning_rate": 0.0001999966373923868,
|
1374 |
+
"loss": 6.7725,
|
1375 |
+
"step": 194
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 0.009306654257794323,
|
1379 |
+
"grad_norm": 4.707699775695801,
|
1380 |
+
"learning_rate": 0.00019999659626018763,
|
1381 |
+
"loss": 6.275,
|
1382 |
+
"step": 195
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 0.009354380689885576,
|
1386 |
+
"grad_norm": 4.85133171081543,
|
1387 |
+
"learning_rate": 0.0001999965548779504,
|
1388 |
+
"loss": 8.7349,
|
1389 |
+
"step": 196
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.00940210712197683,
|
1393 |
+
"grad_norm": 5.022207260131836,
|
1394 |
+
"learning_rate": 0.00019999651324567518,
|
1395 |
+
"loss": 7.265,
|
1396 |
+
"step": 197
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 0.009449833554068083,
|
1400 |
+
"grad_norm": 6.977590560913086,
|
1401 |
+
"learning_rate": 0.0001999964713633621,
|
1402 |
+
"loss": 6.1847,
|
1403 |
+
"step": 198
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.009497559986159334,
|
1407 |
+
"grad_norm": 4.008247375488281,
|
1408 |
+
"learning_rate": 0.00019999642923101128,
|
1409 |
+
"loss": 5.4763,
|
1410 |
+
"step": 199
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 0.009545286418250587,
|
1414 |
+
"grad_norm": 5.237358093261719,
|
1415 |
+
"learning_rate": 0.0001999963868486228,
|
1416 |
+
"loss": 8.1989,
|
1417 |
+
"step": 200
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.009545286418250587,
|
1421 |
+
"eval_loss": 1.6985455751419067,
|
1422 |
+
"eval_runtime": 96.4787,
|
1423 |
+
"eval_samples_per_second": 8.738,
|
1424 |
+
"eval_steps_per_second": 4.374,
|
1425 |
+
"step": 200
|
1426 |
+
}
|
1427 |
+
],
|
1428 |
+
"logging_steps": 1,
|
1429 |
+
"max_steps": 62856,
|
1430 |
+
"num_input_tokens_seen": 0,
|
1431 |
+
"num_train_epochs": 3,
|
1432 |
+
"save_steps": 200,
|
1433 |
+
"stateful_callbacks": {
|
1434 |
+
"EarlyStoppingCallback": {
|
1435 |
+
"args": {
|
1436 |
+
"early_stopping_patience": 3,
|
1437 |
+
"early_stopping_threshold": 0.0
|
1438 |
+
},
|
1439 |
+
"attributes": {
|
1440 |
+
"early_stopping_patience_counter": 0
|
1441 |
+
}
|
1442 |
+
},
|
1443 |
+
"TrainerControl": {
|
1444 |
+
"args": {
|
1445 |
+
"should_epoch_stop": false,
|
1446 |
+
"should_evaluate": false,
|
1447 |
+
"should_log": false,
|
1448 |
+
"should_save": true,
|
1449 |
+
"should_training_stop": false
|
1450 |
+
},
|
1451 |
+
"attributes": {}
|
1452 |
+
}
|
1453 |
+
},
|
1454 |
+
"total_flos": 1.85446101417984e+16,
|
1455 |
+
"train_batch_size": 2,
|
1456 |
+
"trial_name": null,
|
1457 |
+
"trial_params": null
|
1458 |
+
}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bcb0000bf368288d0acbc98ac984fb491ab14afd71b05fcadf3fe67fe64e1653
|
3 |
+
size 6776
|