add: model
Browse files- .gitattributes +1 -0
- README.md +202 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +3 -0
- tokenizer_config.json +196 -0
- trainer_state.json +2385 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit
|
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 0.14.0
|
adapter_config.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit",
|
5 |
+
"bias": "none",
|
6 |
+
"eva_config": null,
|
7 |
+
"exclude_modules": null,
|
8 |
+
"fan_in_fan_out": false,
|
9 |
+
"inference_mode": true,
|
10 |
+
"init_lora_weights": true,
|
11 |
+
"layer_replication": null,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"loftq_config": {},
|
15 |
+
"lora_alpha": 16,
|
16 |
+
"lora_bias": false,
|
17 |
+
"lora_dropout": 0,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 16,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": [
|
26 |
+
"k_proj",
|
27 |
+
"up_proj",
|
28 |
+
"gate_proj",
|
29 |
+
"v_proj",
|
30 |
+
"o_proj",
|
31 |
+
"down_proj",
|
32 |
+
"q_proj"
|
33 |
+
],
|
34 |
+
"task_type": "CAUSAL_LM",
|
35 |
+
"use_dora": false,
|
36 |
+
"use_rslora": false
|
37 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7aaf872c4af1808c0ed87036889837257c873da907e3b65a77b0c05168bc34a2
|
3 |
+
size 536991984
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:57c4d05423a4b2b8412edc955c18aca639571b849ef9b6efe8a6a1e8cbba952c
|
3 |
+
size 273683028
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3cf9097d4513154245c48236b6ec5137b7ee2a21c9f58f2cba798ea275c6026f
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:924d302abf5f685356e66110270e1f4d44c1c6f59465d461e888926b2dade607
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|begin▁of▁sentence|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|end▁of▁sentence|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|vision_pad|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
|
3 |
+
size 11422778
|
tokenizer_config.json
ADDED
@@ -0,0 +1,196 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"151643": {
|
7 |
+
"content": "<|end▁of▁sentence|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"151644": {
|
15 |
+
"content": "<|User|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": false
|
21 |
+
},
|
22 |
+
"151645": {
|
23 |
+
"content": "<|Assistant|>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"151646": {
|
31 |
+
"content": "<|begin▁of▁sentence|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"151647": {
|
39 |
+
"content": "<|EOT|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": false
|
45 |
+
},
|
46 |
+
"151648": {
|
47 |
+
"content": "<think>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": false
|
53 |
+
},
|
54 |
+
"151649": {
|
55 |
+
"content": "</think>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": false
|
61 |
+
},
|
62 |
+
"151650": {
|
63 |
+
"content": "<|quad_start|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"151651": {
|
71 |
+
"content": "<|quad_end|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"151652": {
|
79 |
+
"content": "<|vision_start|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"151653": {
|
87 |
+
"content": "<|vision_end|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"151654": {
|
95 |
+
"content": "<|vision_pad|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": false,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"151655": {
|
103 |
+
"content": "<|image_pad|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"151656": {
|
111 |
+
"content": "<|video_pad|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
},
|
118 |
+
"151657": {
|
119 |
+
"content": "<tool_call>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": false
|
125 |
+
},
|
126 |
+
"151658": {
|
127 |
+
"content": "</tool_call>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": false,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"151659": {
|
135 |
+
"content": "<|fim_prefix|>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"151660": {
|
143 |
+
"content": "<|fim_middle|>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": false,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
+
"151661": {
|
151 |
+
"content": "<|fim_suffix|>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": false,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": false
|
157 |
+
},
|
158 |
+
"151662": {
|
159 |
+
"content": "<|fim_pad|>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": false,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": false
|
165 |
+
},
|
166 |
+
"151663": {
|
167 |
+
"content": "<|repo_name|>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": false,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": false
|
173 |
+
},
|
174 |
+
"151664": {
|
175 |
+
"content": "<|file_sep|>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": false,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
}
|
182 |
+
},
|
183 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
184 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin��>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|>'}}{% endif %}",
|
185 |
+
"clean_up_tokenization_spaces": false,
|
186 |
+
"eos_token": "<|end▁of▁sentence|>",
|
187 |
+
"extra_special_tokens": {},
|
188 |
+
"legacy": true,
|
189 |
+
"model_max_length": 131072,
|
190 |
+
"pad_token": "<|vision_pad|>",
|
191 |
+
"padding_side": "right",
|
192 |
+
"sp_model_kwargs": {},
|
193 |
+
"tokenizer_class": "LlamaTokenizer",
|
194 |
+
"unk_token": null,
|
195 |
+
"use_default_system_prompt": false
|
196 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2385 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.977777777777778,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 336,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.008888888888888889,
|
13 |
+
"grad_norm": 0.12853842973709106,
|
14 |
+
"learning_rate": 4e-05,
|
15 |
+
"loss": 1.435,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.017777777777777778,
|
20 |
+
"grad_norm": 0.1351887285709381,
|
21 |
+
"learning_rate": 8e-05,
|
22 |
+
"loss": 1.4834,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.02666666666666667,
|
27 |
+
"grad_norm": 0.1353459358215332,
|
28 |
+
"learning_rate": 0.00012,
|
29 |
+
"loss": 1.4884,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.035555555555555556,
|
34 |
+
"grad_norm": 0.15532286465168,
|
35 |
+
"learning_rate": 0.00016,
|
36 |
+
"loss": 1.4011,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.044444444444444446,
|
41 |
+
"grad_norm": 0.18807101249694824,
|
42 |
+
"learning_rate": 0.0002,
|
43 |
+
"loss": 1.2824,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.05333333333333334,
|
48 |
+
"grad_norm": 0.21187615394592285,
|
49 |
+
"learning_rate": 0.00019939577039274927,
|
50 |
+
"loss": 1.1333,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.06222222222222222,
|
55 |
+
"grad_norm": 0.2363642305135727,
|
56 |
+
"learning_rate": 0.0001987915407854985,
|
57 |
+
"loss": 1.1263,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.07111111111111111,
|
62 |
+
"grad_norm": 0.23471707105636597,
|
63 |
+
"learning_rate": 0.00019818731117824773,
|
64 |
+
"loss": 0.9295,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.08,
|
69 |
+
"grad_norm": 0.2460624724626541,
|
70 |
+
"learning_rate": 0.00019758308157099698,
|
71 |
+
"loss": 0.7405,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.08888888888888889,
|
76 |
+
"grad_norm": 0.7134775519371033,
|
77 |
+
"learning_rate": 0.00019697885196374624,
|
78 |
+
"loss": 0.6167,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.09777777777777778,
|
83 |
+
"grad_norm": 0.2952987551689148,
|
84 |
+
"learning_rate": 0.0001963746223564955,
|
85 |
+
"loss": 0.4617,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.10666666666666667,
|
90 |
+
"grad_norm": 0.2638149559497833,
|
91 |
+
"learning_rate": 0.00019577039274924472,
|
92 |
+
"loss": 0.3641,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.11555555555555555,
|
97 |
+
"grad_norm": 0.21738190948963165,
|
98 |
+
"learning_rate": 0.00019516616314199395,
|
99 |
+
"loss": 0.2669,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.12444444444444444,
|
104 |
+
"grad_norm": 0.15935368835926056,
|
105 |
+
"learning_rate": 0.0001945619335347432,
|
106 |
+
"loss": 0.1899,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.13333333333333333,
|
111 |
+
"grad_norm": 0.11436018347740173,
|
112 |
+
"learning_rate": 0.00019395770392749247,
|
113 |
+
"loss": 0.1529,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.14222222222222222,
|
118 |
+
"grad_norm": 0.11110496520996094,
|
119 |
+
"learning_rate": 0.00019335347432024172,
|
120 |
+
"loss": 0.1928,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.1511111111111111,
|
125 |
+
"grad_norm": 0.09791559725999832,
|
126 |
+
"learning_rate": 0.00019274924471299093,
|
127 |
+
"loss": 0.2024,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.16,
|
132 |
+
"grad_norm": 0.07391936331987381,
|
133 |
+
"learning_rate": 0.00019214501510574018,
|
134 |
+
"loss": 0.1278,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.1688888888888889,
|
139 |
+
"grad_norm": 0.08692853152751923,
|
140 |
+
"learning_rate": 0.00019154078549848944,
|
141 |
+
"loss": 0.1588,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.17777777777777778,
|
146 |
+
"grad_norm": 0.08260414749383926,
|
147 |
+
"learning_rate": 0.0001909365558912387,
|
148 |
+
"loss": 0.1765,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.18666666666666668,
|
153 |
+
"grad_norm": 0.08524943888187408,
|
154 |
+
"learning_rate": 0.00019033232628398793,
|
155 |
+
"loss": 0.2432,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.19555555555555557,
|
160 |
+
"grad_norm": 0.08510305732488632,
|
161 |
+
"learning_rate": 0.00018972809667673716,
|
162 |
+
"loss": 0.1527,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.20444444444444446,
|
167 |
+
"grad_norm": 0.07516520470380783,
|
168 |
+
"learning_rate": 0.0001891238670694864,
|
169 |
+
"loss": 0.1394,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.21333333333333335,
|
174 |
+
"grad_norm": 0.08073515444993973,
|
175 |
+
"learning_rate": 0.00018851963746223567,
|
176 |
+
"loss": 0.1754,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.2222222222222222,
|
181 |
+
"grad_norm": 0.06894166767597198,
|
182 |
+
"learning_rate": 0.0001879154078549849,
|
183 |
+
"loss": 0.1352,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.2311111111111111,
|
188 |
+
"grad_norm": 0.07681784778833389,
|
189 |
+
"learning_rate": 0.00018731117824773416,
|
190 |
+
"loss": 0.1514,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.24,
|
195 |
+
"grad_norm": 0.06964302062988281,
|
196 |
+
"learning_rate": 0.00018670694864048338,
|
197 |
+
"loss": 0.1408,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.24888888888888888,
|
202 |
+
"grad_norm": 0.08564883470535278,
|
203 |
+
"learning_rate": 0.00018610271903323264,
|
204 |
+
"loss": 0.194,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.2577777777777778,
|
209 |
+
"grad_norm": 0.07006793469190598,
|
210 |
+
"learning_rate": 0.0001854984894259819,
|
211 |
+
"loss": 0.1454,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.26666666666666666,
|
216 |
+
"grad_norm": 0.07050830870866776,
|
217 |
+
"learning_rate": 0.00018489425981873113,
|
218 |
+
"loss": 0.134,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.27555555555555555,
|
223 |
+
"grad_norm": 0.0687691867351532,
|
224 |
+
"learning_rate": 0.00018429003021148036,
|
225 |
+
"loss": 0.122,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.28444444444444444,
|
230 |
+
"grad_norm": 0.8294079899787903,
|
231 |
+
"learning_rate": 0.00018368580060422961,
|
232 |
+
"loss": 0.1737,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.29333333333333333,
|
237 |
+
"grad_norm": 0.0775313451886177,
|
238 |
+
"learning_rate": 0.00018308157099697887,
|
239 |
+
"loss": 0.1249,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.3022222222222222,
|
244 |
+
"grad_norm": 0.08075764775276184,
|
245 |
+
"learning_rate": 0.0001824773413897281,
|
246 |
+
"loss": 0.1596,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.3111111111111111,
|
251 |
+
"grad_norm": 0.09499762207269669,
|
252 |
+
"learning_rate": 0.00018187311178247736,
|
253 |
+
"loss": 0.1788,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.32,
|
258 |
+
"grad_norm": 0.09979691356420517,
|
259 |
+
"learning_rate": 0.00018126888217522659,
|
260 |
+
"loss": 0.1286,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.3288888888888889,
|
265 |
+
"grad_norm": 0.1078299731016159,
|
266 |
+
"learning_rate": 0.00018066465256797584,
|
267 |
+
"loss": 0.1473,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.3377777777777778,
|
272 |
+
"grad_norm": 0.11813590675592422,
|
273 |
+
"learning_rate": 0.0001800604229607251,
|
274 |
+
"loss": 0.1577,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.3466666666666667,
|
279 |
+
"grad_norm": 0.12400685250759125,
|
280 |
+
"learning_rate": 0.00017945619335347433,
|
281 |
+
"loss": 0.1554,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.35555555555555557,
|
286 |
+
"grad_norm": 0.13364343345165253,
|
287 |
+
"learning_rate": 0.00017885196374622359,
|
288 |
+
"loss": 0.1937,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.36444444444444446,
|
293 |
+
"grad_norm": 0.1314571350812912,
|
294 |
+
"learning_rate": 0.00017824773413897281,
|
295 |
+
"loss": 0.1417,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.37333333333333335,
|
300 |
+
"grad_norm": 0.14195436239242554,
|
301 |
+
"learning_rate": 0.00017764350453172207,
|
302 |
+
"loss": 0.1471,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.38222222222222224,
|
307 |
+
"grad_norm": 0.14103101193904877,
|
308 |
+
"learning_rate": 0.0001770392749244713,
|
309 |
+
"loss": 0.1512,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.39111111111111113,
|
314 |
+
"grad_norm": 0.15249131619930267,
|
315 |
+
"learning_rate": 0.00017643504531722056,
|
316 |
+
"loss": 0.1261,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.4,
|
321 |
+
"grad_norm": 0.16161827743053436,
|
322 |
+
"learning_rate": 0.0001758308157099698,
|
323 |
+
"loss": 0.1361,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.4088888888888889,
|
328 |
+
"grad_norm": 0.15586595237255096,
|
329 |
+
"learning_rate": 0.00017522658610271904,
|
330 |
+
"loss": 0.1368,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.4177777777777778,
|
335 |
+
"grad_norm": 0.14314575493335724,
|
336 |
+
"learning_rate": 0.00017462235649546827,
|
337 |
+
"loss": 0.1449,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.4266666666666667,
|
342 |
+
"grad_norm": 0.11395762860774994,
|
343 |
+
"learning_rate": 0.00017401812688821753,
|
344 |
+
"loss": 0.1285,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.43555555555555553,
|
349 |
+
"grad_norm": 0.09165538102388382,
|
350 |
+
"learning_rate": 0.0001734138972809668,
|
351 |
+
"loss": 0.1531,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.4444444444444444,
|
356 |
+
"grad_norm": 0.08022209256887436,
|
357 |
+
"learning_rate": 0.00017280966767371602,
|
358 |
+
"loss": 0.1078,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.4533333333333333,
|
363 |
+
"grad_norm": 0.08753547072410583,
|
364 |
+
"learning_rate": 0.00017220543806646527,
|
365 |
+
"loss": 0.1511,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.4622222222222222,
|
370 |
+
"grad_norm": 0.09489995241165161,
|
371 |
+
"learning_rate": 0.0001716012084592145,
|
372 |
+
"loss": 0.1109,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.4711111111111111,
|
377 |
+
"grad_norm": 0.09574859589338303,
|
378 |
+
"learning_rate": 0.00017099697885196376,
|
379 |
+
"loss": 0.112,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.48,
|
384 |
+
"grad_norm": 0.10898902267217636,
|
385 |
+
"learning_rate": 0.000170392749244713,
|
386 |
+
"loss": 0.1055,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.4888888888888889,
|
391 |
+
"grad_norm": 0.1365131437778473,
|
392 |
+
"learning_rate": 0.00016978851963746225,
|
393 |
+
"loss": 0.1231,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.49777777777777776,
|
398 |
+
"grad_norm": 0.13064222037792206,
|
399 |
+
"learning_rate": 0.00016918429003021147,
|
400 |
+
"loss": 0.1426,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.5066666666666667,
|
405 |
+
"grad_norm": 0.15198342502117157,
|
406 |
+
"learning_rate": 0.00016858006042296073,
|
407 |
+
"loss": 0.1152,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.5155555555555555,
|
412 |
+
"grad_norm": 0.14036396145820618,
|
413 |
+
"learning_rate": 0.00016797583081571,
|
414 |
+
"loss": 0.0877,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.5244444444444445,
|
419 |
+
"grad_norm": 0.12717780470848083,
|
420 |
+
"learning_rate": 0.00016737160120845922,
|
421 |
+
"loss": 0.1527,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.5333333333333333,
|
426 |
+
"grad_norm": 0.09991107136011124,
|
427 |
+
"learning_rate": 0.00016676737160120847,
|
428 |
+
"loss": 0.1184,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.5422222222222223,
|
433 |
+
"grad_norm": 0.08420077711343765,
|
434 |
+
"learning_rate": 0.0001661631419939577,
|
435 |
+
"loss": 0.1162,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.5511111111111111,
|
440 |
+
"grad_norm": 0.07980040460824966,
|
441 |
+
"learning_rate": 0.00016555891238670696,
|
442 |
+
"loss": 0.1154,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.56,
|
447 |
+
"grad_norm": 0.07247896492481232,
|
448 |
+
"learning_rate": 0.00016495468277945622,
|
449 |
+
"loss": 0.1431,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.5688888888888889,
|
454 |
+
"grad_norm": 0.06688614189624786,
|
455 |
+
"learning_rate": 0.00016435045317220545,
|
456 |
+
"loss": 0.1054,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.5777777777777777,
|
461 |
+
"grad_norm": 0.059071995317935944,
|
462 |
+
"learning_rate": 0.00016374622356495468,
|
463 |
+
"loss": 0.0957,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.5866666666666667,
|
468 |
+
"grad_norm": 0.05386095494031906,
|
469 |
+
"learning_rate": 0.00016314199395770393,
|
470 |
+
"loss": 0.1225,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.5955555555555555,
|
475 |
+
"grad_norm": 0.04684595763683319,
|
476 |
+
"learning_rate": 0.0001625377643504532,
|
477 |
+
"loss": 0.0944,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.6044444444444445,
|
482 |
+
"grad_norm": 0.0526355542242527,
|
483 |
+
"learning_rate": 0.00016193353474320242,
|
484 |
+
"loss": 0.1067,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.6133333333333333,
|
489 |
+
"grad_norm": 0.05670945346355438,
|
490 |
+
"learning_rate": 0.00016132930513595165,
|
491 |
+
"loss": 0.1201,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.6222222222222222,
|
496 |
+
"grad_norm": 0.056082066148519516,
|
497 |
+
"learning_rate": 0.0001607250755287009,
|
498 |
+
"loss": 0.1068,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.6311111111111111,
|
503 |
+
"grad_norm": 0.044239770621061325,
|
504 |
+
"learning_rate": 0.00016012084592145016,
|
505 |
+
"loss": 0.0701,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.64,
|
510 |
+
"grad_norm": 0.06141743063926697,
|
511 |
+
"learning_rate": 0.00015951661631419942,
|
512 |
+
"loss": 0.1047,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.6488888888888888,
|
517 |
+
"grad_norm": 0.06362797319889069,
|
518 |
+
"learning_rate": 0.00015891238670694865,
|
519 |
+
"loss": 0.15,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.6577777777777778,
|
524 |
+
"grad_norm": 0.057470619678497314,
|
525 |
+
"learning_rate": 0.00015830815709969788,
|
526 |
+
"loss": 0.1157,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.6666666666666666,
|
531 |
+
"grad_norm": 0.057423558086156845,
|
532 |
+
"learning_rate": 0.00015770392749244713,
|
533 |
+
"loss": 0.1046,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.6755555555555556,
|
538 |
+
"grad_norm": 0.052142687141895294,
|
539 |
+
"learning_rate": 0.0001570996978851964,
|
540 |
+
"loss": 0.0964,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.6844444444444444,
|
545 |
+
"grad_norm": 0.06471661478281021,
|
546 |
+
"learning_rate": 0.00015649546827794562,
|
547 |
+
"loss": 0.188,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.6933333333333334,
|
552 |
+
"grad_norm": 0.054023627191782,
|
553 |
+
"learning_rate": 0.00015589123867069485,
|
554 |
+
"loss": 0.1177,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.7022222222222222,
|
559 |
+
"grad_norm": 0.051102183759212494,
|
560 |
+
"learning_rate": 0.0001552870090634441,
|
561 |
+
"loss": 0.1012,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.7111111111111111,
|
566 |
+
"grad_norm": 0.06166974827647209,
|
567 |
+
"learning_rate": 0.00015468277945619336,
|
568 |
+
"loss": 0.1576,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.72,
|
573 |
+
"grad_norm": 0.049090635031461716,
|
574 |
+
"learning_rate": 0.00015407854984894262,
|
575 |
+
"loss": 0.1162,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.7288888888888889,
|
580 |
+
"grad_norm": 0.05077630653977394,
|
581 |
+
"learning_rate": 0.00015347432024169185,
|
582 |
+
"loss": 0.0921,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.7377777777777778,
|
587 |
+
"grad_norm": 0.0594823993742466,
|
588 |
+
"learning_rate": 0.00015287009063444108,
|
589 |
+
"loss": 0.0842,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.7466666666666667,
|
594 |
+
"grad_norm": 0.049247365444898605,
|
595 |
+
"learning_rate": 0.00015226586102719034,
|
596 |
+
"loss": 0.087,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.7555555555555555,
|
601 |
+
"grad_norm": 0.058970123529434204,
|
602 |
+
"learning_rate": 0.0001516616314199396,
|
603 |
+
"loss": 0.1541,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.7644444444444445,
|
608 |
+
"grad_norm": 0.07077732682228088,
|
609 |
+
"learning_rate": 0.00015105740181268885,
|
610 |
+
"loss": 0.1124,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.7733333333333333,
|
615 |
+
"grad_norm": 0.04939179867506027,
|
616 |
+
"learning_rate": 0.00015045317220543805,
|
617 |
+
"loss": 0.0978,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.7822222222222223,
|
622 |
+
"grad_norm": 0.06014474108815193,
|
623 |
+
"learning_rate": 0.0001498489425981873,
|
624 |
+
"loss": 0.1195,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.7911111111111111,
|
629 |
+
"grad_norm": 0.05583404749631882,
|
630 |
+
"learning_rate": 0.00014924471299093656,
|
631 |
+
"loss": 0.141,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.8,
|
636 |
+
"grad_norm": 0.053725555539131165,
|
637 |
+
"learning_rate": 0.00014864048338368582,
|
638 |
+
"loss": 0.1149,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.8088888888888889,
|
643 |
+
"grad_norm": 0.044657181948423386,
|
644 |
+
"learning_rate": 0.00014803625377643505,
|
645 |
+
"loss": 0.0721,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.8177777777777778,
|
650 |
+
"grad_norm": 0.06342475116252899,
|
651 |
+
"learning_rate": 0.00014743202416918428,
|
652 |
+
"loss": 0.1177,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.8266666666666667,
|
657 |
+
"grad_norm": 0.056376609951257706,
|
658 |
+
"learning_rate": 0.00014682779456193354,
|
659 |
+
"loss": 0.0976,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.8355555555555556,
|
664 |
+
"grad_norm": 0.05411997064948082,
|
665 |
+
"learning_rate": 0.0001462235649546828,
|
666 |
+
"loss": 0.1059,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.8444444444444444,
|
671 |
+
"grad_norm": 0.056368228048086166,
|
672 |
+
"learning_rate": 0.00014561933534743205,
|
673 |
+
"loss": 0.1133,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.8533333333333334,
|
678 |
+
"grad_norm": 0.05209295451641083,
|
679 |
+
"learning_rate": 0.00014501510574018128,
|
680 |
+
"loss": 0.0996,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.8622222222222222,
|
685 |
+
"grad_norm": 0.054722413420677185,
|
686 |
+
"learning_rate": 0.0001444108761329305,
|
687 |
+
"loss": 0.1029,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.8711111111111111,
|
692 |
+
"grad_norm": 0.05473008751869202,
|
693 |
+
"learning_rate": 0.00014380664652567977,
|
694 |
+
"loss": 0.1176,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.88,
|
699 |
+
"grad_norm": 0.05287059769034386,
|
700 |
+
"learning_rate": 0.00014320241691842902,
|
701 |
+
"loss": 0.0909,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.8888888888888888,
|
706 |
+
"grad_norm": 0.04134868085384369,
|
707 |
+
"learning_rate": 0.00014259818731117825,
|
708 |
+
"loss": 0.0673,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.8977777777777778,
|
713 |
+
"grad_norm": 0.048795074224472046,
|
714 |
+
"learning_rate": 0.00014199395770392748,
|
715 |
+
"loss": 0.0761,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.9066666666666666,
|
720 |
+
"grad_norm": 0.06269072741270065,
|
721 |
+
"learning_rate": 0.00014138972809667674,
|
722 |
+
"loss": 0.1244,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.9155555555555556,
|
727 |
+
"grad_norm": 0.05946790799498558,
|
728 |
+
"learning_rate": 0.000140785498489426,
|
729 |
+
"loss": 0.1307,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.9244444444444444,
|
734 |
+
"grad_norm": 0.059073008596897125,
|
735 |
+
"learning_rate": 0.00014018126888217525,
|
736 |
+
"loss": 0.1274,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.9333333333333333,
|
741 |
+
"grad_norm": 0.058441124856472015,
|
742 |
+
"learning_rate": 0.00013957703927492448,
|
743 |
+
"loss": 0.1185,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.9422222222222222,
|
748 |
+
"grad_norm": 0.06066688522696495,
|
749 |
+
"learning_rate": 0.0001389728096676737,
|
750 |
+
"loss": 0.116,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.9511111111111111,
|
755 |
+
"grad_norm": 0.05696433410048485,
|
756 |
+
"learning_rate": 0.00013836858006042297,
|
757 |
+
"loss": 0.0981,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.96,
|
762 |
+
"grad_norm": 0.04884543642401695,
|
763 |
+
"learning_rate": 0.00013776435045317222,
|
764 |
+
"loss": 0.0844,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.9688888888888889,
|
769 |
+
"grad_norm": 0.05151006579399109,
|
770 |
+
"learning_rate": 0.00013716012084592145,
|
771 |
+
"loss": 0.1165,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.9777777777777777,
|
776 |
+
"grad_norm": 0.048714157193899155,
|
777 |
+
"learning_rate": 0.0001365558912386707,
|
778 |
+
"loss": 0.0914,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.9866666666666667,
|
783 |
+
"grad_norm": 0.05728358030319214,
|
784 |
+
"learning_rate": 0.00013595166163141994,
|
785 |
+
"loss": 0.096,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.9955555555555555,
|
790 |
+
"grad_norm": 0.04793373495340347,
|
791 |
+
"learning_rate": 0.0001353474320241692,
|
792 |
+
"loss": 0.0732,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.0,
|
797 |
+
"grad_norm": 0.0691237822175026,
|
798 |
+
"learning_rate": 0.00013474320241691845,
|
799 |
+
"loss": 0.0772,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.008888888888889,
|
804 |
+
"grad_norm": 0.059231679886579514,
|
805 |
+
"learning_rate": 0.00013413897280966768,
|
806 |
+
"loss": 0.1035,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.0177777777777777,
|
811 |
+
"grad_norm": 0.050710082054138184,
|
812 |
+
"learning_rate": 0.0001335347432024169,
|
813 |
+
"loss": 0.0927,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.0266666666666666,
|
818 |
+
"grad_norm": 0.052448518574237823,
|
819 |
+
"learning_rate": 0.00013293051359516617,
|
820 |
+
"loss": 0.0927,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.0355555555555556,
|
825 |
+
"grad_norm": 0.05111970752477646,
|
826 |
+
"learning_rate": 0.00013232628398791543,
|
827 |
+
"loss": 0.101,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.0444444444444445,
|
832 |
+
"grad_norm": 0.050373584032058716,
|
833 |
+
"learning_rate": 0.00013172205438066465,
|
834 |
+
"loss": 0.0958,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 1.0533333333333332,
|
839 |
+
"grad_norm": 0.053760871291160583,
|
840 |
+
"learning_rate": 0.0001311178247734139,
|
841 |
+
"loss": 0.1004,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.0622222222222222,
|
846 |
+
"grad_norm": 0.050390031188726425,
|
847 |
+
"learning_rate": 0.00013051359516616314,
|
848 |
+
"loss": 0.098,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 1.0711111111111111,
|
853 |
+
"grad_norm": 0.056723542511463165,
|
854 |
+
"learning_rate": 0.0001299093655589124,
|
855 |
+
"loss": 0.1019,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 1.08,
|
860 |
+
"grad_norm": 0.05544177070260048,
|
861 |
+
"learning_rate": 0.00012930513595166163,
|
862 |
+
"loss": 0.105,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.0888888888888888,
|
867 |
+
"grad_norm": 0.05266315117478371,
|
868 |
+
"learning_rate": 0.00012870090634441088,
|
869 |
+
"loss": 0.0852,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 1.0977777777777777,
|
874 |
+
"grad_norm": 0.05095309391617775,
|
875 |
+
"learning_rate": 0.0001280966767371601,
|
876 |
+
"loss": 0.0883,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 1.1066666666666667,
|
881 |
+
"grad_norm": 0.052665866911411285,
|
882 |
+
"learning_rate": 0.00012749244712990937,
|
883 |
+
"loss": 0.0821,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.1155555555555556,
|
888 |
+
"grad_norm": 0.05651025474071503,
|
889 |
+
"learning_rate": 0.00012688821752265863,
|
890 |
+
"loss": 0.0923,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 1.1244444444444444,
|
895 |
+
"grad_norm": 0.053802527487277985,
|
896 |
+
"learning_rate": 0.00012628398791540786,
|
897 |
+
"loss": 0.0934,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 1.1333333333333333,
|
902 |
+
"grad_norm": 0.04798378795385361,
|
903 |
+
"learning_rate": 0.0001256797583081571,
|
904 |
+
"loss": 0.0745,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 1.1422222222222222,
|
909 |
+
"grad_norm": 0.04485182464122772,
|
910 |
+
"learning_rate": 0.00012507552870090634,
|
911 |
+
"loss": 0.0687,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 1.1511111111111112,
|
916 |
+
"grad_norm": 0.05560389533638954,
|
917 |
+
"learning_rate": 0.0001244712990936556,
|
918 |
+
"loss": 0.1228,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 1.16,
|
923 |
+
"grad_norm": 0.053619932383298874,
|
924 |
+
"learning_rate": 0.00012386706948640483,
|
925 |
+
"loss": 0.1016,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 1.1688888888888889,
|
930 |
+
"grad_norm": 0.061660535633563995,
|
931 |
+
"learning_rate": 0.00012326283987915408,
|
932 |
+
"loss": 0.1084,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 1.1777777777777778,
|
937 |
+
"grad_norm": 0.05607709661126137,
|
938 |
+
"learning_rate": 0.00012265861027190334,
|
939 |
+
"loss": 0.1173,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 1.1866666666666668,
|
944 |
+
"grad_norm": 0.06121942773461342,
|
945 |
+
"learning_rate": 0.00012205438066465258,
|
946 |
+
"loss": 0.1047,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 1.1955555555555555,
|
951 |
+
"grad_norm": 0.058909133076667786,
|
952 |
+
"learning_rate": 0.00012145015105740183,
|
953 |
+
"loss": 0.0945,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 1.2044444444444444,
|
958 |
+
"grad_norm": 0.04819121211767197,
|
959 |
+
"learning_rate": 0.00012084592145015106,
|
960 |
+
"loss": 0.0814,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 1.2133333333333334,
|
965 |
+
"grad_norm": 0.052952077239751816,
|
966 |
+
"learning_rate": 0.0001202416918429003,
|
967 |
+
"loss": 0.0723,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 1.2222222222222223,
|
972 |
+
"grad_norm": 0.059440117329359055,
|
973 |
+
"learning_rate": 0.00011963746223564956,
|
974 |
+
"loss": 0.1039,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 1.231111111111111,
|
979 |
+
"grad_norm": 0.06102529540657997,
|
980 |
+
"learning_rate": 0.0001190332326283988,
|
981 |
+
"loss": 0.0946,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 1.24,
|
986 |
+
"grad_norm": 0.05853147804737091,
|
987 |
+
"learning_rate": 0.00011842900302114803,
|
988 |
+
"loss": 0.0928,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 1.248888888888889,
|
993 |
+
"grad_norm": 0.05324235185980797,
|
994 |
+
"learning_rate": 0.00011782477341389729,
|
995 |
+
"loss": 0.0656,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 1.2577777777777777,
|
1000 |
+
"grad_norm": 0.060984380543231964,
|
1001 |
+
"learning_rate": 0.00011722054380664653,
|
1002 |
+
"loss": 0.114,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 1.2666666666666666,
|
1007 |
+
"grad_norm": 0.05423833429813385,
|
1008 |
+
"learning_rate": 0.00011661631419939579,
|
1009 |
+
"loss": 0.0758,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 1.2755555555555556,
|
1014 |
+
"grad_norm": 0.05878995731472969,
|
1015 |
+
"learning_rate": 0.00011601208459214503,
|
1016 |
+
"loss": 0.095,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 1.2844444444444445,
|
1021 |
+
"grad_norm": 0.05326640605926514,
|
1022 |
+
"learning_rate": 0.00011540785498489426,
|
1023 |
+
"loss": 0.0893,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 1.2933333333333334,
|
1028 |
+
"grad_norm": 0.045536670833826065,
|
1029 |
+
"learning_rate": 0.00011480362537764352,
|
1030 |
+
"loss": 0.0756,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 1.3022222222222222,
|
1035 |
+
"grad_norm": 0.06222836673259735,
|
1036 |
+
"learning_rate": 0.00011419939577039276,
|
1037 |
+
"loss": 0.0832,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 1.3111111111111111,
|
1042 |
+
"grad_norm": 0.05563228577375412,
|
1043 |
+
"learning_rate": 0.00011359516616314202,
|
1044 |
+
"loss": 0.0987,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 1.32,
|
1049 |
+
"grad_norm": 0.05855840817093849,
|
1050 |
+
"learning_rate": 0.00011299093655589123,
|
1051 |
+
"loss": 0.1012,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 1.3288888888888888,
|
1056 |
+
"grad_norm": 0.06626389175653458,
|
1057 |
+
"learning_rate": 0.00011238670694864049,
|
1058 |
+
"loss": 0.1326,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 1.3377777777777777,
|
1063 |
+
"grad_norm": 0.050519317388534546,
|
1064 |
+
"learning_rate": 0.00011178247734138973,
|
1065 |
+
"loss": 0.0673,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 1.3466666666666667,
|
1070 |
+
"grad_norm": 0.057173047214746475,
|
1071 |
+
"learning_rate": 0.00011117824773413899,
|
1072 |
+
"loss": 0.0813,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 1.3555555555555556,
|
1077 |
+
"grad_norm": 0.04732273891568184,
|
1078 |
+
"learning_rate": 0.00011057401812688822,
|
1079 |
+
"loss": 0.0611,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 1.3644444444444446,
|
1084 |
+
"grad_norm": 0.058079130947589874,
|
1085 |
+
"learning_rate": 0.00010996978851963746,
|
1086 |
+
"loss": 0.111,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 1.3733333333333333,
|
1091 |
+
"grad_norm": 0.054955486208200455,
|
1092 |
+
"learning_rate": 0.00010936555891238672,
|
1093 |
+
"loss": 0.0819,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 1.3822222222222222,
|
1098 |
+
"grad_norm": 0.06241566315293312,
|
1099 |
+
"learning_rate": 0.00010876132930513596,
|
1100 |
+
"loss": 0.0897,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 1.3911111111111112,
|
1105 |
+
"grad_norm": 0.06284183263778687,
|
1106 |
+
"learning_rate": 0.00010815709969788522,
|
1107 |
+
"loss": 0.0995,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 1.4,
|
1112 |
+
"grad_norm": 0.05234519764780998,
|
1113 |
+
"learning_rate": 0.00010755287009063443,
|
1114 |
+
"loss": 0.0886,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 1.4088888888888889,
|
1119 |
+
"grad_norm": 0.05802811682224274,
|
1120 |
+
"learning_rate": 0.00010694864048338369,
|
1121 |
+
"loss": 0.0867,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 1.4177777777777778,
|
1126 |
+
"grad_norm": 0.05341397225856781,
|
1127 |
+
"learning_rate": 0.00010634441087613293,
|
1128 |
+
"loss": 0.0822,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 1.4266666666666667,
|
1133 |
+
"grad_norm": 0.07113339751958847,
|
1134 |
+
"learning_rate": 0.00010574018126888219,
|
1135 |
+
"loss": 0.1002,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 1.4355555555555555,
|
1140 |
+
"grad_norm": 0.06063013896346092,
|
1141 |
+
"learning_rate": 0.00010513595166163142,
|
1142 |
+
"loss": 0.0981,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 1.4444444444444444,
|
1147 |
+
"grad_norm": 0.06280765682458878,
|
1148 |
+
"learning_rate": 0.00010453172205438066,
|
1149 |
+
"loss": 0.0872,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 1.4533333333333334,
|
1154 |
+
"grad_norm": 0.053992606699466705,
|
1155 |
+
"learning_rate": 0.00010392749244712992,
|
1156 |
+
"loss": 0.0811,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 1.462222222222222,
|
1161 |
+
"grad_norm": 0.06484760344028473,
|
1162 |
+
"learning_rate": 0.00010332326283987916,
|
1163 |
+
"loss": 0.1499,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 1.471111111111111,
|
1168 |
+
"grad_norm": 0.04423009976744652,
|
1169 |
+
"learning_rate": 0.00010271903323262842,
|
1170 |
+
"loss": 0.0587,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 1.48,
|
1175 |
+
"grad_norm": 0.05195729061961174,
|
1176 |
+
"learning_rate": 0.00010211480362537765,
|
1177 |
+
"loss": 0.0756,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 1.488888888888889,
|
1182 |
+
"grad_norm": 0.07213317602872849,
|
1183 |
+
"learning_rate": 0.00010151057401812689,
|
1184 |
+
"loss": 0.1274,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 1.4977777777777779,
|
1189 |
+
"grad_norm": 0.07075338065624237,
|
1190 |
+
"learning_rate": 0.00010090634441087615,
|
1191 |
+
"loss": 0.1482,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 1.5066666666666668,
|
1196 |
+
"grad_norm": 0.05478464439511299,
|
1197 |
+
"learning_rate": 0.00010030211480362539,
|
1198 |
+
"loss": 0.0757,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 1.5155555555555555,
|
1203 |
+
"grad_norm": 0.05618472024798393,
|
1204 |
+
"learning_rate": 9.969788519637463e-05,
|
1205 |
+
"loss": 0.0809,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 1.5244444444444445,
|
1210 |
+
"grad_norm": 0.05127232149243355,
|
1211 |
+
"learning_rate": 9.909365558912386e-05,
|
1212 |
+
"loss": 0.0738,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 1.5333333333333332,
|
1217 |
+
"grad_norm": 0.05737868323922157,
|
1218 |
+
"learning_rate": 9.848942598187312e-05,
|
1219 |
+
"loss": 0.0944,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 1.5422222222222222,
|
1224 |
+
"grad_norm": 0.05908210948109627,
|
1225 |
+
"learning_rate": 9.788519637462236e-05,
|
1226 |
+
"loss": 0.0892,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 1.551111111111111,
|
1231 |
+
"grad_norm": 0.04666788876056671,
|
1232 |
+
"learning_rate": 9.72809667673716e-05,
|
1233 |
+
"loss": 0.059,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 1.56,
|
1238 |
+
"grad_norm": 0.06086019426584244,
|
1239 |
+
"learning_rate": 9.667673716012086e-05,
|
1240 |
+
"loss": 0.0967,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 1.568888888888889,
|
1245 |
+
"grad_norm": 0.07607266306877136,
|
1246 |
+
"learning_rate": 9.607250755287009e-05,
|
1247 |
+
"loss": 0.1171,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 1.5777777777777777,
|
1252 |
+
"grad_norm": 0.05511125177145004,
|
1253 |
+
"learning_rate": 9.546827794561935e-05,
|
1254 |
+
"loss": 0.0803,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 1.5866666666666667,
|
1259 |
+
"grad_norm": 0.04639158770442009,
|
1260 |
+
"learning_rate": 9.486404833836858e-05,
|
1261 |
+
"loss": 0.0552,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 1.5955555555555554,
|
1266 |
+
"grad_norm": 0.06064977869391441,
|
1267 |
+
"learning_rate": 9.425981873111783e-05,
|
1268 |
+
"loss": 0.1009,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 1.6044444444444443,
|
1273 |
+
"grad_norm": 0.0693751648068428,
|
1274 |
+
"learning_rate": 9.365558912386708e-05,
|
1275 |
+
"loss": 0.1033,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 1.6133333333333333,
|
1280 |
+
"grad_norm": 0.060564182698726654,
|
1281 |
+
"learning_rate": 9.305135951661632e-05,
|
1282 |
+
"loss": 0.0783,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 1.6222222222222222,
|
1287 |
+
"grad_norm": 0.051936618983745575,
|
1288 |
+
"learning_rate": 9.244712990936556e-05,
|
1289 |
+
"loss": 0.0789,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 1.6311111111111112,
|
1294 |
+
"grad_norm": 0.0632539689540863,
|
1295 |
+
"learning_rate": 9.184290030211481e-05,
|
1296 |
+
"loss": 0.1033,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 1.6400000000000001,
|
1301 |
+
"grad_norm": 0.06275516003370285,
|
1302 |
+
"learning_rate": 9.123867069486405e-05,
|
1303 |
+
"loss": 0.0837,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 1.6488888888888888,
|
1308 |
+
"grad_norm": 0.07486943155527115,
|
1309 |
+
"learning_rate": 9.063444108761329e-05,
|
1310 |
+
"loss": 0.1463,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 1.6577777777777778,
|
1315 |
+
"grad_norm": 0.061665549874305725,
|
1316 |
+
"learning_rate": 9.003021148036255e-05,
|
1317 |
+
"loss": 0.0962,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 1.6666666666666665,
|
1322 |
+
"grad_norm": 0.058605264872312546,
|
1323 |
+
"learning_rate": 8.942598187311179e-05,
|
1324 |
+
"loss": 0.0903,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 1.6755555555555555,
|
1329 |
+
"grad_norm": 0.05885601043701172,
|
1330 |
+
"learning_rate": 8.882175226586104e-05,
|
1331 |
+
"loss": 0.0792,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 1.6844444444444444,
|
1336 |
+
"grad_norm": 0.06224210560321808,
|
1337 |
+
"learning_rate": 8.821752265861028e-05,
|
1338 |
+
"loss": 0.0985,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 1.6933333333333334,
|
1343 |
+
"grad_norm": 0.0739174336194992,
|
1344 |
+
"learning_rate": 8.761329305135952e-05,
|
1345 |
+
"loss": 0.1079,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 1.7022222222222223,
|
1350 |
+
"grad_norm": 0.06836007535457611,
|
1351 |
+
"learning_rate": 8.700906344410877e-05,
|
1352 |
+
"loss": 0.122,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 1.7111111111111112,
|
1357 |
+
"grad_norm": 0.06372584402561188,
|
1358 |
+
"learning_rate": 8.640483383685801e-05,
|
1359 |
+
"loss": 0.1006,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 1.72,
|
1364 |
+
"grad_norm": 0.05704513192176819,
|
1365 |
+
"learning_rate": 8.580060422960725e-05,
|
1366 |
+
"loss": 0.0856,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 1.728888888888889,
|
1371 |
+
"grad_norm": 0.06607326865196228,
|
1372 |
+
"learning_rate": 8.51963746223565e-05,
|
1373 |
+
"loss": 0.0851,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 1.7377777777777776,
|
1378 |
+
"grad_norm": 0.06291351467370987,
|
1379 |
+
"learning_rate": 8.459214501510574e-05,
|
1380 |
+
"loss": 0.1026,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 1.7466666666666666,
|
1385 |
+
"grad_norm": 0.055036935955286026,
|
1386 |
+
"learning_rate": 8.3987915407855e-05,
|
1387 |
+
"loss": 0.0721,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 1.7555555555555555,
|
1392 |
+
"grad_norm": 0.06576612591743469,
|
1393 |
+
"learning_rate": 8.338368580060424e-05,
|
1394 |
+
"loss": 0.1199,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 1.7644444444444445,
|
1399 |
+
"grad_norm": 0.0656011551618576,
|
1400 |
+
"learning_rate": 8.277945619335348e-05,
|
1401 |
+
"loss": 0.0947,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 1.7733333333333334,
|
1406 |
+
"grad_norm": 0.05662452057003975,
|
1407 |
+
"learning_rate": 8.217522658610272e-05,
|
1408 |
+
"loss": 0.0783,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 1.7822222222222224,
|
1413 |
+
"grad_norm": 0.05521798133850098,
|
1414 |
+
"learning_rate": 8.157099697885197e-05,
|
1415 |
+
"loss": 0.0635,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 1.791111111111111,
|
1420 |
+
"grad_norm": 0.06891798228025436,
|
1421 |
+
"learning_rate": 8.096676737160121e-05,
|
1422 |
+
"loss": 0.1013,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 1.8,
|
1427 |
+
"grad_norm": 0.06973979622125626,
|
1428 |
+
"learning_rate": 8.036253776435045e-05,
|
1429 |
+
"loss": 0.0787,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 1.8088888888888888,
|
1434 |
+
"grad_norm": 0.06616077572107315,
|
1435 |
+
"learning_rate": 7.975830815709971e-05,
|
1436 |
+
"loss": 0.0817,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 1.8177777777777777,
|
1441 |
+
"grad_norm": 0.06029290705919266,
|
1442 |
+
"learning_rate": 7.915407854984894e-05,
|
1443 |
+
"loss": 0.0806,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 1.8266666666666667,
|
1448 |
+
"grad_norm": 0.06291759759187698,
|
1449 |
+
"learning_rate": 7.85498489425982e-05,
|
1450 |
+
"loss": 0.087,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 1.8355555555555556,
|
1455 |
+
"grad_norm": 0.05678003653883934,
|
1456 |
+
"learning_rate": 7.794561933534742e-05,
|
1457 |
+
"loss": 0.0738,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 1.8444444444444446,
|
1462 |
+
"grad_norm": 0.05496233329176903,
|
1463 |
+
"learning_rate": 7.734138972809668e-05,
|
1464 |
+
"loss": 0.0835,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 1.8533333333333335,
|
1469 |
+
"grad_norm": 0.057058099657297134,
|
1470 |
+
"learning_rate": 7.673716012084592e-05,
|
1471 |
+
"loss": 0.0764,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 1.8622222222222222,
|
1476 |
+
"grad_norm": 0.05875209718942642,
|
1477 |
+
"learning_rate": 7.613293051359517e-05,
|
1478 |
+
"loss": 0.0734,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 1.871111111111111,
|
1483 |
+
"grad_norm": 0.06268563121557236,
|
1484 |
+
"learning_rate": 7.552870090634442e-05,
|
1485 |
+
"loss": 0.0791,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 1.88,
|
1490 |
+
"grad_norm": 0.08160948008298874,
|
1491 |
+
"learning_rate": 7.492447129909365e-05,
|
1492 |
+
"loss": 0.1602,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 1.8888888888888888,
|
1497 |
+
"grad_norm": 0.06325849145650864,
|
1498 |
+
"learning_rate": 7.432024169184291e-05,
|
1499 |
+
"loss": 0.0955,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 1.8977777777777778,
|
1504 |
+
"grad_norm": 0.06835322082042694,
|
1505 |
+
"learning_rate": 7.371601208459214e-05,
|
1506 |
+
"loss": 0.1167,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 1.9066666666666667,
|
1511 |
+
"grad_norm": 0.06621617823839188,
|
1512 |
+
"learning_rate": 7.31117824773414e-05,
|
1513 |
+
"loss": 0.104,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 1.9155555555555557,
|
1518 |
+
"grad_norm": 0.0520428791642189,
|
1519 |
+
"learning_rate": 7.250755287009064e-05,
|
1520 |
+
"loss": 0.0595,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 1.9244444444444444,
|
1525 |
+
"grad_norm": 0.05874223634600639,
|
1526 |
+
"learning_rate": 7.190332326283988e-05,
|
1527 |
+
"loss": 0.0734,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 1.9333333333333333,
|
1532 |
+
"grad_norm": 0.06542330980300903,
|
1533 |
+
"learning_rate": 7.129909365558913e-05,
|
1534 |
+
"loss": 0.0957,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 1.942222222222222,
|
1539 |
+
"grad_norm": 0.05599142238497734,
|
1540 |
+
"learning_rate": 7.069486404833837e-05,
|
1541 |
+
"loss": 0.0804,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 1.951111111111111,
|
1546 |
+
"grad_norm": 0.058727771043777466,
|
1547 |
+
"learning_rate": 7.009063444108763e-05,
|
1548 |
+
"loss": 0.0812,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 1.96,
|
1553 |
+
"grad_norm": 0.050783053040504456,
|
1554 |
+
"learning_rate": 6.948640483383686e-05,
|
1555 |
+
"loss": 0.073,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 1.968888888888889,
|
1560 |
+
"grad_norm": 0.058176856487989426,
|
1561 |
+
"learning_rate": 6.888217522658611e-05,
|
1562 |
+
"loss": 0.0941,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 1.9777777777777779,
|
1567 |
+
"grad_norm": 0.06019238755106926,
|
1568 |
+
"learning_rate": 6.827794561933535e-05,
|
1569 |
+
"loss": 0.0804,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 1.9866666666666668,
|
1574 |
+
"grad_norm": 0.052067600190639496,
|
1575 |
+
"learning_rate": 6.76737160120846e-05,
|
1576 |
+
"loss": 0.0664,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 1.9955555555555555,
|
1581 |
+
"grad_norm": 0.05987400561571121,
|
1582 |
+
"learning_rate": 6.706948640483384e-05,
|
1583 |
+
"loss": 0.087,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 2.0,
|
1588 |
+
"grad_norm": 0.08068395406007767,
|
1589 |
+
"learning_rate": 6.646525679758308e-05,
|
1590 |
+
"loss": 0.0728,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 2.008888888888889,
|
1595 |
+
"grad_norm": 0.056796178221702576,
|
1596 |
+
"learning_rate": 6.586102719033233e-05,
|
1597 |
+
"loss": 0.0844,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 2.017777777777778,
|
1602 |
+
"grad_norm": 0.05155782401561737,
|
1603 |
+
"learning_rate": 6.525679758308157e-05,
|
1604 |
+
"loss": 0.0668,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 2.026666666666667,
|
1609 |
+
"grad_norm": 0.050025951117277145,
|
1610 |
+
"learning_rate": 6.465256797583081e-05,
|
1611 |
+
"loss": 0.0632,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 2.0355555555555553,
|
1616 |
+
"grad_norm": 0.06146937608718872,
|
1617 |
+
"learning_rate": 6.404833836858006e-05,
|
1618 |
+
"loss": 0.1061,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 2.0444444444444443,
|
1623 |
+
"grad_norm": 0.05745534226298332,
|
1624 |
+
"learning_rate": 6.344410876132931e-05,
|
1625 |
+
"loss": 0.0775,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 2.0533333333333332,
|
1630 |
+
"grad_norm": 0.058149635791778564,
|
1631 |
+
"learning_rate": 6.283987915407856e-05,
|
1632 |
+
"loss": 0.0812,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 2.062222222222222,
|
1637 |
+
"grad_norm": 0.052630528807640076,
|
1638 |
+
"learning_rate": 6.22356495468278e-05,
|
1639 |
+
"loss": 0.0715,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 2.071111111111111,
|
1644 |
+
"grad_norm": 0.053744129836559296,
|
1645 |
+
"learning_rate": 6.163141993957704e-05,
|
1646 |
+
"loss": 0.064,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 2.08,
|
1651 |
+
"grad_norm": 0.05753091350197792,
|
1652 |
+
"learning_rate": 6.102719033232629e-05,
|
1653 |
+
"loss": 0.0769,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 2.088888888888889,
|
1658 |
+
"grad_norm": 0.06525509059429169,
|
1659 |
+
"learning_rate": 6.042296072507553e-05,
|
1660 |
+
"loss": 0.0861,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 2.097777777777778,
|
1665 |
+
"grad_norm": 0.060992028564214706,
|
1666 |
+
"learning_rate": 5.981873111782478e-05,
|
1667 |
+
"loss": 0.0916,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 2.1066666666666665,
|
1672 |
+
"grad_norm": 0.05694571137428284,
|
1673 |
+
"learning_rate": 5.9214501510574015e-05,
|
1674 |
+
"loss": 0.0718,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 2.1155555555555554,
|
1679 |
+
"grad_norm": 0.06200471892952919,
|
1680 |
+
"learning_rate": 5.8610271903323265e-05,
|
1681 |
+
"loss": 0.0765,
|
1682 |
+
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 2.1244444444444444,
|
1686 |
+
"grad_norm": 0.07638643682003021,
|
1687 |
+
"learning_rate": 5.8006042296072515e-05,
|
1688 |
+
"loss": 0.1205,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 2.1333333333333333,
|
1693 |
+
"grad_norm": 0.05985346809029579,
|
1694 |
+
"learning_rate": 5.740181268882176e-05,
|
1695 |
+
"loss": 0.0633,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 2.1422222222222222,
|
1700 |
+
"grad_norm": 0.06811255216598511,
|
1701 |
+
"learning_rate": 5.679758308157101e-05,
|
1702 |
+
"loss": 0.0716,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 2.151111111111111,
|
1707 |
+
"grad_norm": 0.07051990926265717,
|
1708 |
+
"learning_rate": 5.6193353474320244e-05,
|
1709 |
+
"loss": 0.0985,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 2.16,
|
1714 |
+
"grad_norm": 0.06572071462869644,
|
1715 |
+
"learning_rate": 5.5589123867069494e-05,
|
1716 |
+
"loss": 0.0645,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 2.168888888888889,
|
1721 |
+
"grad_norm": 0.06567268073558807,
|
1722 |
+
"learning_rate": 5.498489425981873e-05,
|
1723 |
+
"loss": 0.0602,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 2.1777777777777776,
|
1728 |
+
"grad_norm": 0.0646674782037735,
|
1729 |
+
"learning_rate": 5.438066465256798e-05,
|
1730 |
+
"loss": 0.0679,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 2.1866666666666665,
|
1735 |
+
"grad_norm": 0.06456337124109268,
|
1736 |
+
"learning_rate": 5.3776435045317216e-05,
|
1737 |
+
"loss": 0.0706,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 2.1955555555555555,
|
1742 |
+
"grad_norm": 0.07218114286661148,
|
1743 |
+
"learning_rate": 5.3172205438066466e-05,
|
1744 |
+
"loss": 0.076,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 2.2044444444444444,
|
1749 |
+
"grad_norm": 0.07510354369878769,
|
1750 |
+
"learning_rate": 5.256797583081571e-05,
|
1751 |
+
"loss": 0.0817,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 2.2133333333333334,
|
1756 |
+
"grad_norm": 0.07315120100975037,
|
1757 |
+
"learning_rate": 5.196374622356496e-05,
|
1758 |
+
"loss": 0.0725,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 2.2222222222222223,
|
1763 |
+
"grad_norm": 0.08618611097335815,
|
1764 |
+
"learning_rate": 5.135951661631421e-05,
|
1765 |
+
"loss": 0.099,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 2.2311111111111113,
|
1770 |
+
"grad_norm": 0.07698719948530197,
|
1771 |
+
"learning_rate": 5.0755287009063445e-05,
|
1772 |
+
"loss": 0.0878,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 2.24,
|
1777 |
+
"grad_norm": 0.06022505462169647,
|
1778 |
+
"learning_rate": 5.0151057401812695e-05,
|
1779 |
+
"loss": 0.0558,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 2.2488888888888887,
|
1784 |
+
"grad_norm": 0.06770103424787521,
|
1785 |
+
"learning_rate": 4.954682779456193e-05,
|
1786 |
+
"loss": 0.0729,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 2.2577777777777777,
|
1791 |
+
"grad_norm": 0.08226872980594635,
|
1792 |
+
"learning_rate": 4.894259818731118e-05,
|
1793 |
+
"loss": 0.0953,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 2.2666666666666666,
|
1798 |
+
"grad_norm": 0.07327685505151749,
|
1799 |
+
"learning_rate": 4.833836858006043e-05,
|
1800 |
+
"loss": 0.088,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 2.2755555555555556,
|
1805 |
+
"grad_norm": 0.0711284875869751,
|
1806 |
+
"learning_rate": 4.7734138972809674e-05,
|
1807 |
+
"loss": 0.0689,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 2.2844444444444445,
|
1812 |
+
"grad_norm": 0.08122266829013824,
|
1813 |
+
"learning_rate": 4.712990936555892e-05,
|
1814 |
+
"loss": 0.1304,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 2.2933333333333334,
|
1819 |
+
"grad_norm": 0.06601269543170929,
|
1820 |
+
"learning_rate": 4.652567975830816e-05,
|
1821 |
+
"loss": 0.0544,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 2.3022222222222224,
|
1826 |
+
"grad_norm": 0.08035172522068024,
|
1827 |
+
"learning_rate": 4.5921450151057403e-05,
|
1828 |
+
"loss": 0.0809,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 2.311111111111111,
|
1833 |
+
"grad_norm": 0.07023400068283081,
|
1834 |
+
"learning_rate": 4.5317220543806646e-05,
|
1835 |
+
"loss": 0.0719,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 2.32,
|
1840 |
+
"grad_norm": 0.07323497533798218,
|
1841 |
+
"learning_rate": 4.4712990936555896e-05,
|
1842 |
+
"loss": 0.0757,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 2.328888888888889,
|
1847 |
+
"grad_norm": 0.0711096003651619,
|
1848 |
+
"learning_rate": 4.410876132930514e-05,
|
1849 |
+
"loss": 0.079,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 2.3377777777777777,
|
1854 |
+
"grad_norm": 0.08337131887674332,
|
1855 |
+
"learning_rate": 4.350453172205438e-05,
|
1856 |
+
"loss": 0.0863,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 2.3466666666666667,
|
1861 |
+
"grad_norm": 0.06306735426187515,
|
1862 |
+
"learning_rate": 4.2900302114803626e-05,
|
1863 |
+
"loss": 0.0544,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 2.3555555555555556,
|
1868 |
+
"grad_norm": 0.06520617753267288,
|
1869 |
+
"learning_rate": 4.229607250755287e-05,
|
1870 |
+
"loss": 0.0492,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 2.3644444444444446,
|
1875 |
+
"grad_norm": 0.07521840184926987,
|
1876 |
+
"learning_rate": 4.169184290030212e-05,
|
1877 |
+
"loss": 0.0817,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 2.3733333333333335,
|
1882 |
+
"grad_norm": 0.11388452351093292,
|
1883 |
+
"learning_rate": 4.108761329305136e-05,
|
1884 |
+
"loss": 0.1195,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 2.3822222222222225,
|
1889 |
+
"grad_norm": 0.0842316523194313,
|
1890 |
+
"learning_rate": 4.0483383685800605e-05,
|
1891 |
+
"loss": 0.0697,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 2.391111111111111,
|
1896 |
+
"grad_norm": 0.0726594477891922,
|
1897 |
+
"learning_rate": 3.9879154078549855e-05,
|
1898 |
+
"loss": 0.0685,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 2.4,
|
1903 |
+
"grad_norm": 0.07490499317646027,
|
1904 |
+
"learning_rate": 3.92749244712991e-05,
|
1905 |
+
"loss": 0.0753,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 2.408888888888889,
|
1910 |
+
"grad_norm": 0.08467234671115875,
|
1911 |
+
"learning_rate": 3.867069486404834e-05,
|
1912 |
+
"loss": 0.0902,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 2.417777777777778,
|
1917 |
+
"grad_norm": 0.07775551825761795,
|
1918 |
+
"learning_rate": 3.8066465256797584e-05,
|
1919 |
+
"loss": 0.0749,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 2.4266666666666667,
|
1924 |
+
"grad_norm": 0.07680890709161758,
|
1925 |
+
"learning_rate": 3.746223564954683e-05,
|
1926 |
+
"loss": 0.0839,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 2.4355555555555557,
|
1931 |
+
"grad_norm": 0.07432601600885391,
|
1932 |
+
"learning_rate": 3.685800604229607e-05,
|
1933 |
+
"loss": 0.0718,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 2.4444444444444446,
|
1938 |
+
"grad_norm": 0.0697220042347908,
|
1939 |
+
"learning_rate": 3.625377643504532e-05,
|
1940 |
+
"loss": 0.0581,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 2.453333333333333,
|
1945 |
+
"grad_norm": 0.0710417628288269,
|
1946 |
+
"learning_rate": 3.564954682779456e-05,
|
1947 |
+
"loss": 0.0741,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 2.462222222222222,
|
1952 |
+
"grad_norm": 0.07673481106758118,
|
1953 |
+
"learning_rate": 3.504531722054381e-05,
|
1954 |
+
"loss": 0.0792,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 2.471111111111111,
|
1959 |
+
"grad_norm": 0.07718473672866821,
|
1960 |
+
"learning_rate": 3.4441087613293056e-05,
|
1961 |
+
"loss": 0.0786,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 2.48,
|
1966 |
+
"grad_norm": 0.0753309354186058,
|
1967 |
+
"learning_rate": 3.38368580060423e-05,
|
1968 |
+
"loss": 0.0651,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 2.488888888888889,
|
1973 |
+
"grad_norm": 0.06466688960790634,
|
1974 |
+
"learning_rate": 3.323262839879154e-05,
|
1975 |
+
"loss": 0.0662,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 2.497777777777778,
|
1980 |
+
"grad_norm": 0.06847023218870163,
|
1981 |
+
"learning_rate": 3.2628398791540785e-05,
|
1982 |
+
"loss": 0.0606,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 2.506666666666667,
|
1987 |
+
"grad_norm": 0.08267179876565933,
|
1988 |
+
"learning_rate": 3.202416918429003e-05,
|
1989 |
+
"loss": 0.0963,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 2.5155555555555553,
|
1994 |
+
"grad_norm": 0.07589060813188553,
|
1995 |
+
"learning_rate": 3.141993957703928e-05,
|
1996 |
+
"loss": 0.0811,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 2.5244444444444447,
|
2001 |
+
"grad_norm": 0.07186582684516907,
|
2002 |
+
"learning_rate": 3.081570996978852e-05,
|
2003 |
+
"loss": 0.0727,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 2.533333333333333,
|
2008 |
+
"grad_norm": 0.06798484176397324,
|
2009 |
+
"learning_rate": 3.0211480362537764e-05,
|
2010 |
+
"loss": 0.0683,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 2.542222222222222,
|
2015 |
+
"grad_norm": 0.06041852384805679,
|
2016 |
+
"learning_rate": 2.9607250755287007e-05,
|
2017 |
+
"loss": 0.0549,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 2.551111111111111,
|
2022 |
+
"grad_norm": 0.07672443240880966,
|
2023 |
+
"learning_rate": 2.9003021148036257e-05,
|
2024 |
+
"loss": 0.0835,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 2.56,
|
2029 |
+
"grad_norm": 0.06650765985250473,
|
2030 |
+
"learning_rate": 2.8398791540785504e-05,
|
2031 |
+
"loss": 0.0625,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 2.568888888888889,
|
2036 |
+
"grad_norm": 0.07676387578248978,
|
2037 |
+
"learning_rate": 2.7794561933534747e-05,
|
2038 |
+
"loss": 0.0804,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 2.5777777777777775,
|
2043 |
+
"grad_norm": 0.06516220420598984,
|
2044 |
+
"learning_rate": 2.719033232628399e-05,
|
2045 |
+
"loss": 0.0558,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 2.586666666666667,
|
2050 |
+
"grad_norm": 0.06658012419939041,
|
2051 |
+
"learning_rate": 2.6586102719033233e-05,
|
2052 |
+
"loss": 0.0656,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 2.5955555555555554,
|
2057 |
+
"grad_norm": 0.06700943410396576,
|
2058 |
+
"learning_rate": 2.598187311178248e-05,
|
2059 |
+
"loss": 0.0652,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 2.6044444444444443,
|
2064 |
+
"grad_norm": 0.08271019905805588,
|
2065 |
+
"learning_rate": 2.5377643504531723e-05,
|
2066 |
+
"loss": 0.0939,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 2.6133333333333333,
|
2071 |
+
"grad_norm": 0.06946663558483124,
|
2072 |
+
"learning_rate": 2.4773413897280966e-05,
|
2073 |
+
"loss": 0.0608,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 2.6222222222222222,
|
2078 |
+
"grad_norm": 0.06652197986841202,
|
2079 |
+
"learning_rate": 2.4169184290030216e-05,
|
2080 |
+
"loss": 0.063,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 2.631111111111111,
|
2085 |
+
"grad_norm": 0.05776477977633476,
|
2086 |
+
"learning_rate": 2.356495468277946e-05,
|
2087 |
+
"loss": 0.0519,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 2.64,
|
2092 |
+
"grad_norm": 0.06055834889411926,
|
2093 |
+
"learning_rate": 2.2960725075528702e-05,
|
2094 |
+
"loss": 0.0587,
|
2095 |
+
"step": 298
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 2.648888888888889,
|
2099 |
+
"grad_norm": 0.0723641887307167,
|
2100 |
+
"learning_rate": 2.2356495468277948e-05,
|
2101 |
+
"loss": 0.0673,
|
2102 |
+
"step": 299
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 2.6577777777777776,
|
2106 |
+
"grad_norm": 0.06614179909229279,
|
2107 |
+
"learning_rate": 2.175226586102719e-05,
|
2108 |
+
"loss": 0.0609,
|
2109 |
+
"step": 300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 2.6666666666666665,
|
2113 |
+
"grad_norm": 0.07408380508422852,
|
2114 |
+
"learning_rate": 2.1148036253776434e-05,
|
2115 |
+
"loss": 0.073,
|
2116 |
+
"step": 301
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 2.6755555555555555,
|
2120 |
+
"grad_norm": 0.08053004741668701,
|
2121 |
+
"learning_rate": 2.054380664652568e-05,
|
2122 |
+
"loss": 0.084,
|
2123 |
+
"step": 302
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 2.6844444444444444,
|
2127 |
+
"grad_norm": 0.061500728130340576,
|
2128 |
+
"learning_rate": 1.9939577039274927e-05,
|
2129 |
+
"loss": 0.0478,
|
2130 |
+
"step": 303
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 2.6933333333333334,
|
2134 |
+
"grad_norm": 0.06272031366825104,
|
2135 |
+
"learning_rate": 1.933534743202417e-05,
|
2136 |
+
"loss": 0.0557,
|
2137 |
+
"step": 304
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 2.7022222222222223,
|
2141 |
+
"grad_norm": 0.08150549232959747,
|
2142 |
+
"learning_rate": 1.8731117824773413e-05,
|
2143 |
+
"loss": 0.0878,
|
2144 |
+
"step": 305
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 2.7111111111111112,
|
2148 |
+
"grad_norm": 0.08058076351881027,
|
2149 |
+
"learning_rate": 1.812688821752266e-05,
|
2150 |
+
"loss": 0.0708,
|
2151 |
+
"step": 306
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 2.7199999999999998,
|
2155 |
+
"grad_norm": 0.07689347863197327,
|
2156 |
+
"learning_rate": 1.7522658610271906e-05,
|
2157 |
+
"loss": 0.0827,
|
2158 |
+
"step": 307
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 2.728888888888889,
|
2162 |
+
"grad_norm": 0.07880861312150955,
|
2163 |
+
"learning_rate": 1.691842900302115e-05,
|
2164 |
+
"loss": 0.1007,
|
2165 |
+
"step": 308
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 2.7377777777777776,
|
2169 |
+
"grad_norm": 0.0824202448129654,
|
2170 |
+
"learning_rate": 1.6314199395770393e-05,
|
2171 |
+
"loss": 0.0773,
|
2172 |
+
"step": 309
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 2.7466666666666666,
|
2176 |
+
"grad_norm": 0.07320031523704529,
|
2177 |
+
"learning_rate": 1.570996978851964e-05,
|
2178 |
+
"loss": 0.0742,
|
2179 |
+
"step": 310
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 2.7555555555555555,
|
2183 |
+
"grad_norm": 0.0690142959356308,
|
2184 |
+
"learning_rate": 1.5105740181268882e-05,
|
2185 |
+
"loss": 0.0557,
|
2186 |
+
"step": 311
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 2.7644444444444445,
|
2190 |
+
"grad_norm": 0.062487728893756866,
|
2191 |
+
"learning_rate": 1.4501510574018129e-05,
|
2192 |
+
"loss": 0.0624,
|
2193 |
+
"step": 312
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 2.7733333333333334,
|
2197 |
+
"grad_norm": 0.07230405509471893,
|
2198 |
+
"learning_rate": 1.3897280966767373e-05,
|
2199 |
+
"loss": 0.0713,
|
2200 |
+
"step": 313
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 2.7822222222222224,
|
2204 |
+
"grad_norm": 0.08470380306243896,
|
2205 |
+
"learning_rate": 1.3293051359516617e-05,
|
2206 |
+
"loss": 0.1038,
|
2207 |
+
"step": 314
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 2.7911111111111113,
|
2211 |
+
"grad_norm": 0.06646347045898438,
|
2212 |
+
"learning_rate": 1.2688821752265861e-05,
|
2213 |
+
"loss": 0.0612,
|
2214 |
+
"step": 315
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 2.8,
|
2218 |
+
"grad_norm": 0.07566383481025696,
|
2219 |
+
"learning_rate": 1.2084592145015108e-05,
|
2220 |
+
"loss": 0.0645,
|
2221 |
+
"step": 316
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 2.8088888888888888,
|
2225 |
+
"grad_norm": 0.07404222339391708,
|
2226 |
+
"learning_rate": 1.1480362537764351e-05,
|
2227 |
+
"loss": 0.0677,
|
2228 |
+
"step": 317
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 2.8177777777777777,
|
2232 |
+
"grad_norm": 0.07574770599603653,
|
2233 |
+
"learning_rate": 1.0876132930513596e-05,
|
2234 |
+
"loss": 0.0828,
|
2235 |
+
"step": 318
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 2.8266666666666667,
|
2239 |
+
"grad_norm": 0.08625300973653793,
|
2240 |
+
"learning_rate": 1.027190332326284e-05,
|
2241 |
+
"loss": 0.0852,
|
2242 |
+
"step": 319
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 2.8355555555555556,
|
2246 |
+
"grad_norm": 0.0686657726764679,
|
2247 |
+
"learning_rate": 9.667673716012085e-06,
|
2248 |
+
"loss": 0.0584,
|
2249 |
+
"step": 320
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 2.8444444444444446,
|
2253 |
+
"grad_norm": 0.0677306279540062,
|
2254 |
+
"learning_rate": 9.06344410876133e-06,
|
2255 |
+
"loss": 0.0712,
|
2256 |
+
"step": 321
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 2.8533333333333335,
|
2260 |
+
"grad_norm": 0.06888636946678162,
|
2261 |
+
"learning_rate": 8.459214501510575e-06,
|
2262 |
+
"loss": 0.0703,
|
2263 |
+
"step": 322
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 2.862222222222222,
|
2267 |
+
"grad_norm": 0.06507274508476257,
|
2268 |
+
"learning_rate": 7.85498489425982e-06,
|
2269 |
+
"loss": 0.0594,
|
2270 |
+
"step": 323
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 2.871111111111111,
|
2274 |
+
"grad_norm": 0.07514124363660812,
|
2275 |
+
"learning_rate": 7.250755287009064e-06,
|
2276 |
+
"loss": 0.0753,
|
2277 |
+
"step": 324
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 2.88,
|
2281 |
+
"grad_norm": 0.0745137482881546,
|
2282 |
+
"learning_rate": 6.646525679758308e-06,
|
2283 |
+
"loss": 0.0802,
|
2284 |
+
"step": 325
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 2.888888888888889,
|
2288 |
+
"grad_norm": 0.07600755989551544,
|
2289 |
+
"learning_rate": 6.042296072507554e-06,
|
2290 |
+
"loss": 0.0763,
|
2291 |
+
"step": 326
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 2.897777777777778,
|
2295 |
+
"grad_norm": 0.05982338637113571,
|
2296 |
+
"learning_rate": 5.438066465256798e-06,
|
2297 |
+
"loss": 0.0496,
|
2298 |
+
"step": 327
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 2.9066666666666667,
|
2302 |
+
"grad_norm": 0.06928596645593643,
|
2303 |
+
"learning_rate": 4.833836858006043e-06,
|
2304 |
+
"loss": 0.0626,
|
2305 |
+
"step": 328
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 2.9155555555555557,
|
2309 |
+
"grad_norm": 0.06719228625297546,
|
2310 |
+
"learning_rate": 4.229607250755287e-06,
|
2311 |
+
"loss": 0.0644,
|
2312 |
+
"step": 329
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 2.924444444444444,
|
2316 |
+
"grad_norm": 0.06885026395320892,
|
2317 |
+
"learning_rate": 3.625377643504532e-06,
|
2318 |
+
"loss": 0.0723,
|
2319 |
+
"step": 330
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 2.9333333333333336,
|
2323 |
+
"grad_norm": 0.07556895166635513,
|
2324 |
+
"learning_rate": 3.021148036253777e-06,
|
2325 |
+
"loss": 0.0746,
|
2326 |
+
"step": 331
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 2.942222222222222,
|
2330 |
+
"grad_norm": 0.08047506213188171,
|
2331 |
+
"learning_rate": 2.4169184290030213e-06,
|
2332 |
+
"loss": 0.0876,
|
2333 |
+
"step": 332
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 2.951111111111111,
|
2337 |
+
"grad_norm": 0.08711687475442886,
|
2338 |
+
"learning_rate": 1.812688821752266e-06,
|
2339 |
+
"loss": 0.1013,
|
2340 |
+
"step": 333
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 2.96,
|
2344 |
+
"grad_norm": 0.07905985414981842,
|
2345 |
+
"learning_rate": 1.2084592145015106e-06,
|
2346 |
+
"loss": 0.0794,
|
2347 |
+
"step": 334
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 2.968888888888889,
|
2351 |
+
"grad_norm": 0.0679263323545456,
|
2352 |
+
"learning_rate": 6.042296072507553e-07,
|
2353 |
+
"loss": 0.0551,
|
2354 |
+
"step": 335
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 2.977777777777778,
|
2358 |
+
"grad_norm": 0.07112424075603485,
|
2359 |
+
"learning_rate": 0.0,
|
2360 |
+
"loss": 0.0743,
|
2361 |
+
"step": 336
|
2362 |
+
}
|
2363 |
+
],
|
2364 |
+
"logging_steps": 1,
|
2365 |
+
"max_steps": 336,
|
2366 |
+
"num_input_tokens_seen": 0,
|
2367 |
+
"num_train_epochs": 3,
|
2368 |
+
"save_steps": 500,
|
2369 |
+
"stateful_callbacks": {
|
2370 |
+
"TrainerControl": {
|
2371 |
+
"args": {
|
2372 |
+
"should_epoch_stop": false,
|
2373 |
+
"should_evaluate": false,
|
2374 |
+
"should_log": false,
|
2375 |
+
"should_save": true,
|
2376 |
+
"should_training_stop": true
|
2377 |
+
},
|
2378 |
+
"attributes": {}
|
2379 |
+
}
|
2380 |
+
},
|
2381 |
+
"total_flos": 3.934810290318336e+17,
|
2382 |
+
"train_batch_size": 2,
|
2383 |
+
"trial_name": null,
|
2384 |
+
"trial_params": null
|
2385 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8646b79648aa1ac4da60ae4e96af1188fc44f7c5fc9d2cc0f8baeb7c9ff0ad24
|
3 |
+
size 5560
|