Fizzarolli
commited on
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +202 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +24 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- trainer_state.json +1657 -0
- training_args.bin +3 -0
- vocab.json +0 -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: allura-org/Teleut-7b
|
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": "allura-org/Teleut-7b",
|
5 |
+
"bias": "none",
|
6 |
+
"eva_config": null,
|
7 |
+
"exclude_modules": null,
|
8 |
+
"fan_in_fan_out": null,
|
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": 32,
|
16 |
+
"lora_bias": false,
|
17 |
+
"lora_dropout": 0.25,
|
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 |
+
"q_proj",
|
27 |
+
"up_proj",
|
28 |
+
"v_proj",
|
29 |
+
"down_proj",
|
30 |
+
"k_proj",
|
31 |
+
"gate_proj",
|
32 |
+
"o_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:a1ede1d59c66e2b431cef3e4edd7fedf9e1620f91d390ec86888f18f078fe8ae
|
3 |
+
size 161533192
|
added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
+
"<|box_start|>": 151648,
|
6 |
+
"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
"<|im_end|>": 151645,
|
13 |
+
"<|im_start|>": 151644,
|
14 |
+
"<|image_pad|>": 151655,
|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:53c261e301304e5003fefd2ec366ffc568632b8229ee408809a7892b131df98a
|
3 |
+
size 82463028
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:663b6545e4e58a345160b46ee964e3a43e5fd778335bf5f638149ddc6ef830e4
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75d80ea96dc38f7b64a87dbf36dc12c6b0c5bb12f53fd22308195480fdfd34b6
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
3 |
+
size 11421896
|
tokenizer_config.json
ADDED
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"151643": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"151644": {
|
14 |
+
"content": "<|im_start|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"151645": {
|
22 |
+
"content": "<|im_end|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"151646": {
|
30 |
+
"content": "<|object_ref_start|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"151647": {
|
38 |
+
"content": "<|object_ref_end|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"151648": {
|
46 |
+
"content": "<|box_start|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"151649": {
|
54 |
+
"content": "<|box_end|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"151650": {
|
62 |
+
"content": "<|quad_start|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"151651": {
|
70 |
+
"content": "<|quad_end|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"151652": {
|
78 |
+
"content": "<|vision_start|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"151653": {
|
86 |
+
"content": "<|vision_end|>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"151654": {
|
94 |
+
"content": "<|vision_pad|>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"151655": {
|
102 |
+
"content": "<|image_pad|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"151656": {
|
110 |
+
"content": "<|video_pad|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"151657": {
|
118 |
+
"content": "<tool_call>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"extra_special_tokens": {},
|
203 |
+
"model_max_length": 131072,
|
204 |
+
"pad_token": "<|endoftext|>",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1657 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.8140350877192982,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 232,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0035087719298245615,
|
13 |
+
"grad_norm": 0.15189611911773682,
|
14 |
+
"learning_rate": 2.4000000000000003e-06,
|
15 |
+
"loss": 2.1379,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.007017543859649123,
|
20 |
+
"grad_norm": 0.1405300348997116,
|
21 |
+
"learning_rate": 4.800000000000001e-06,
|
22 |
+
"loss": 2.4083,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.010526315789473684,
|
27 |
+
"grad_norm": 0.12744449079036713,
|
28 |
+
"learning_rate": 7.2e-06,
|
29 |
+
"loss": 2.3487,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.014035087719298246,
|
34 |
+
"grad_norm": 0.11590863764286041,
|
35 |
+
"learning_rate": 9.600000000000001e-06,
|
36 |
+
"loss": 2.2393,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.017543859649122806,
|
41 |
+
"grad_norm": 0.10541164129972458,
|
42 |
+
"learning_rate": 1.2e-05,
|
43 |
+
"loss": 2.0981,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.021052631578947368,
|
48 |
+
"grad_norm": 0.09022955596446991,
|
49 |
+
"learning_rate": 1.44e-05,
|
50 |
+
"loss": 2.1626,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02456140350877193,
|
55 |
+
"grad_norm": 0.0826038271188736,
|
56 |
+
"learning_rate": 1.6800000000000002e-05,
|
57 |
+
"loss": 2.0838,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.028070175438596492,
|
62 |
+
"grad_norm": 0.09345665574073792,
|
63 |
+
"learning_rate": 1.9200000000000003e-05,
|
64 |
+
"loss": 2.1717,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.031578947368421054,
|
69 |
+
"grad_norm": 0.12961702048778534,
|
70 |
+
"learning_rate": 2.16e-05,
|
71 |
+
"loss": 2.0865,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.03508771929824561,
|
76 |
+
"grad_norm": 0.11363445222377777,
|
77 |
+
"learning_rate": 2.4e-05,
|
78 |
+
"loss": 2.3286,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.03859649122807018,
|
83 |
+
"grad_norm": 0.10748554766178131,
|
84 |
+
"learning_rate": 2.64e-05,
|
85 |
+
"loss": 2.1253,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.042105263157894736,
|
90 |
+
"grad_norm": 0.16965074837207794,
|
91 |
+
"learning_rate": 2.88e-05,
|
92 |
+
"loss": 1.953,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.0456140350877193,
|
97 |
+
"grad_norm": 0.10734588652849197,
|
98 |
+
"learning_rate": 3.12e-05,
|
99 |
+
"loss": 2.3053,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.04912280701754386,
|
104 |
+
"grad_norm": 0.09110312163829803,
|
105 |
+
"learning_rate": 3.3600000000000004e-05,
|
106 |
+
"loss": 2.3143,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.05263157894736842,
|
111 |
+
"grad_norm": 0.09969355165958405,
|
112 |
+
"learning_rate": 3.6e-05,
|
113 |
+
"loss": 2.1258,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.056140350877192984,
|
118 |
+
"grad_norm": 0.11016582697629929,
|
119 |
+
"learning_rate": 3.8400000000000005e-05,
|
120 |
+
"loss": 2.0992,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.05964912280701754,
|
125 |
+
"grad_norm": 0.10026279091835022,
|
126 |
+
"learning_rate": 4.08e-05,
|
127 |
+
"loss": 2.0588,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.06315789473684211,
|
132 |
+
"grad_norm": 0.09350590407848358,
|
133 |
+
"learning_rate": 4.32e-05,
|
134 |
+
"loss": 2.1193,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.06666666666666667,
|
139 |
+
"grad_norm": 0.08562514185905457,
|
140 |
+
"learning_rate": 4.5600000000000004e-05,
|
141 |
+
"loss": 2.0707,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.07017543859649122,
|
146 |
+
"grad_norm": 0.0910220816731453,
|
147 |
+
"learning_rate": 4.8e-05,
|
148 |
+
"loss": 1.9285,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.07368421052631578,
|
153 |
+
"grad_norm": 0.12792207300662994,
|
154 |
+
"learning_rate": 5.04e-05,
|
155 |
+
"loss": 2.1708,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.07719298245614035,
|
160 |
+
"grad_norm": 0.09217620640993118,
|
161 |
+
"learning_rate": 5.28e-05,
|
162 |
+
"loss": 2.1628,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.08070175438596491,
|
167 |
+
"grad_norm": 0.09265049546957016,
|
168 |
+
"learning_rate": 5.520000000000001e-05,
|
169 |
+
"loss": 2.0818,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.08421052631578947,
|
174 |
+
"grad_norm": 0.08625225722789764,
|
175 |
+
"learning_rate": 5.76e-05,
|
176 |
+
"loss": 2.2644,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.08771929824561403,
|
181 |
+
"grad_norm": 0.09073711931705475,
|
182 |
+
"learning_rate": 6e-05,
|
183 |
+
"loss": 2.1186,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.0912280701754386,
|
188 |
+
"grad_norm": 0.08659897744655609,
|
189 |
+
"learning_rate": 5.999781002566832e-05,
|
190 |
+
"loss": 2.0872,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.09473684210526316,
|
195 |
+
"grad_norm": 0.07886387407779694,
|
196 |
+
"learning_rate": 5.9991240422405795e-05,
|
197 |
+
"loss": 2.0594,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.09824561403508772,
|
202 |
+
"grad_norm": 0.0848180428147316,
|
203 |
+
"learning_rate": 5.998029214936324e-05,
|
204 |
+
"loss": 2.0301,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.10175438596491228,
|
209 |
+
"grad_norm": 0.08976238965988159,
|
210 |
+
"learning_rate": 5.99649668049698e-05,
|
211 |
+
"loss": 2.0395,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.10526315789473684,
|
216 |
+
"grad_norm": 0.08499772846698761,
|
217 |
+
"learning_rate": 5.994526662669953e-05,
|
218 |
+
"loss": 2.0563,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.10877192982456141,
|
223 |
+
"grad_norm": 0.08985580503940582,
|
224 |
+
"learning_rate": 5.992119449074474e-05,
|
225 |
+
"loss": 2.1382,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.11228070175438597,
|
230 |
+
"grad_norm": 0.08376096189022064,
|
231 |
+
"learning_rate": 5.9892753911596084e-05,
|
232 |
+
"loss": 2.2707,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.11578947368421053,
|
237 |
+
"grad_norm": 0.08586399257183075,
|
238 |
+
"learning_rate": 5.985994904152946e-05,
|
239 |
+
"loss": 2.0834,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.11929824561403508,
|
244 |
+
"grad_norm": 0.08400382101535797,
|
245 |
+
"learning_rate": 5.982278466999976e-05,
|
246 |
+
"loss": 2.0405,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.12280701754385964,
|
251 |
+
"grad_norm": 0.08553475141525269,
|
252 |
+
"learning_rate": 5.9781266222941616e-05,
|
253 |
+
"loss": 2.2521,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.12631578947368421,
|
258 |
+
"grad_norm": 0.08234255760908127,
|
259 |
+
"learning_rate": 5.973539976197728e-05,
|
260 |
+
"loss": 2.0814,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.12982456140350876,
|
265 |
+
"grad_norm": 0.09046807885169983,
|
266 |
+
"learning_rate": 5.968519198353153e-05,
|
267 |
+
"loss": 2.1075,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.13333333333333333,
|
272 |
+
"grad_norm": 0.09342332929372787,
|
273 |
+
"learning_rate": 5.963065021785414e-05,
|
274 |
+
"loss": 2.094,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.1368421052631579,
|
279 |
+
"grad_norm": 0.09752500057220459,
|
280 |
+
"learning_rate": 5.957178242794953e-05,
|
281 |
+
"loss": 2.008,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.14035087719298245,
|
286 |
+
"grad_norm": 0.08942960947751999,
|
287 |
+
"learning_rate": 5.950859720841431e-05,
|
288 |
+
"loss": 2.203,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.14385964912280702,
|
293 |
+
"grad_norm": 0.0905979797244072,
|
294 |
+
"learning_rate": 5.94411037841824e-05,
|
295 |
+
"loss": 2.3466,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.14736842105263157,
|
300 |
+
"grad_norm": 0.09027687460184097,
|
301 |
+
"learning_rate": 5.936931200917826e-05,
|
302 |
+
"loss": 1.9638,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.15087719298245614,
|
307 |
+
"grad_norm": 0.09753058850765228,
|
308 |
+
"learning_rate": 5.929323236487816e-05,
|
309 |
+
"loss": 2.1403,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.1543859649122807,
|
314 |
+
"grad_norm": 0.09758615493774414,
|
315 |
+
"learning_rate": 5.921287595878001e-05,
|
316 |
+
"loss": 2.1398,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.15789473684210525,
|
321 |
+
"grad_norm": 0.09411653131246567,
|
322 |
+
"learning_rate": 5.912825452278156e-05,
|
323 |
+
"loss": 2.151,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.16140350877192983,
|
328 |
+
"grad_norm": 0.10731625556945801,
|
329 |
+
"learning_rate": 5.903938041146769e-05,
|
330 |
+
"loss": 2.0521,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.1649122807017544,
|
335 |
+
"grad_norm": 0.09779181331396103,
|
336 |
+
"learning_rate": 5.894626660030655e-05,
|
337 |
+
"loss": 2.1397,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.16842105263157894,
|
342 |
+
"grad_norm": 0.09776318818330765,
|
343 |
+
"learning_rate": 5.8848926683755234e-05,
|
344 |
+
"loss": 2.1026,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.17192982456140352,
|
349 |
+
"grad_norm": 0.09971348941326141,
|
350 |
+
"learning_rate": 5.8747374873274985e-05,
|
351 |
+
"loss": 2.2858,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.17543859649122806,
|
356 |
+
"grad_norm": 0.10052883625030518,
|
357 |
+
"learning_rate": 5.864162599525637e-05,
|
358 |
+
"loss": 2.2403,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.17894736842105263,
|
363 |
+
"grad_norm": 0.09604485332965851,
|
364 |
+
"learning_rate": 5.853169548885461e-05,
|
365 |
+
"loss": 2.015,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.1824561403508772,
|
370 |
+
"grad_norm": 0.0971733033657074,
|
371 |
+
"learning_rate": 5.841759940373552e-05,
|
372 |
+
"loss": 2.0381,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.18596491228070175,
|
377 |
+
"grad_norm": 0.11067637801170349,
|
378 |
+
"learning_rate": 5.829935439773229e-05,
|
379 |
+
"loss": 2.1373,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.18947368421052632,
|
384 |
+
"grad_norm": 0.09739149361848831,
|
385 |
+
"learning_rate": 5.817697773441346e-05,
|
386 |
+
"loss": 2.2659,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.19298245614035087,
|
391 |
+
"grad_norm": 0.09938070923089981,
|
392 |
+
"learning_rate": 5.805048728056245e-05,
|
393 |
+
"loss": 2.0896,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.19649122807017544,
|
398 |
+
"grad_norm": 0.11174876987934113,
|
399 |
+
"learning_rate": 5.7919901503569066e-05,
|
400 |
+
"loss": 2.1314,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.2,
|
405 |
+
"grad_norm": 0.10702885687351227,
|
406 |
+
"learning_rate": 5.77852394687333e-05,
|
407 |
+
"loss": 1.9618,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.20350877192982456,
|
412 |
+
"grad_norm": 0.10180342197418213,
|
413 |
+
"learning_rate": 5.764652083648179e-05,
|
414 |
+
"loss": 2.0258,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.20701754385964913,
|
419 |
+
"grad_norm": 0.10502015054225922,
|
420 |
+
"learning_rate": 5.750376585949748e-05,
|
421 |
+
"loss": 2.2146,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.21052631578947367,
|
426 |
+
"grad_norm": 0.11613918840885162,
|
427 |
+
"learning_rate": 5.735699537976271e-05,
|
428 |
+
"loss": 1.9482,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.21403508771929824,
|
433 |
+
"grad_norm": 0.10688231140375137,
|
434 |
+
"learning_rate": 5.720623082551636e-05,
|
435 |
+
"loss": 1.9497,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.21754385964912282,
|
440 |
+
"grad_norm": 0.1024007648229599,
|
441 |
+
"learning_rate": 5.7051494208125385e-05,
|
442 |
+
"loss": 2.132,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.22105263157894736,
|
447 |
+
"grad_norm": 0.10295075923204422,
|
448 |
+
"learning_rate": 5.6892808118871113e-05,
|
449 |
+
"loss": 2.1412,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.22456140350877193,
|
454 |
+
"grad_norm": 0.11542188376188278,
|
455 |
+
"learning_rate": 5.673019572565103e-05,
|
456 |
+
"loss": 2.2178,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.22807017543859648,
|
461 |
+
"grad_norm": 0.11483608931303024,
|
462 |
+
"learning_rate": 5.6563680769596294e-05,
|
463 |
+
"loss": 2.0975,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.23157894736842105,
|
468 |
+
"grad_norm": 0.1054820865392685,
|
469 |
+
"learning_rate": 5.6393287561605536e-05,
|
470 |
+
"loss": 2.1284,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.23508771929824562,
|
475 |
+
"grad_norm": 0.10530298203229904,
|
476 |
+
"learning_rate": 5.6219040978795544e-05,
|
477 |
+
"loss": 2.0712,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.23859649122807017,
|
482 |
+
"grad_norm": 0.1356276124715805,
|
483 |
+
"learning_rate": 5.6040966460869225e-05,
|
484 |
+
"loss": 2.1189,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.24210526315789474,
|
489 |
+
"grad_norm": 0.10891308635473251,
|
490 |
+
"learning_rate": 5.5859090006401476e-05,
|
491 |
+
"loss": 2.0887,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.24561403508771928,
|
496 |
+
"grad_norm": 0.1175449788570404,
|
497 |
+
"learning_rate": 5.567343816904343e-05,
|
498 |
+
"loss": 2.0421,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.24912280701754386,
|
503 |
+
"grad_norm": 0.10129985213279724,
|
504 |
+
"learning_rate": 5.5484038053645636e-05,
|
505 |
+
"loss": 2.1027,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.25263157894736843,
|
510 |
+
"grad_norm": 0.10736104100942612,
|
511 |
+
"learning_rate": 5.529091731230084e-05,
|
512 |
+
"loss": 2.1332,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.256140350877193,
|
517 |
+
"grad_norm": 0.11475091427564621,
|
518 |
+
"learning_rate": 5.50941041403068e-05,
|
519 |
+
"loss": 2.1401,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.2596491228070175,
|
524 |
+
"grad_norm": 0.10455591231584549,
|
525 |
+
"learning_rate": 5.489362727204985e-05,
|
526 |
+
"loss": 2.1409,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.2631578947368421,
|
531 |
+
"grad_norm": 0.09795428812503815,
|
532 |
+
"learning_rate": 5.468951597680969e-05,
|
533 |
+
"loss": 2.2061,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.26666666666666666,
|
538 |
+
"grad_norm": 0.11418502777814865,
|
539 |
+
"learning_rate": 5.4481800054486144e-05,
|
540 |
+
"loss": 2.2608,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.27017543859649124,
|
545 |
+
"grad_norm": 0.11368659883737564,
|
546 |
+
"learning_rate": 5.427050983124843e-05,
|
547 |
+
"loss": 2.1459,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.2736842105263158,
|
552 |
+
"grad_norm": 0.13392335176467896,
|
553 |
+
"learning_rate": 5.4055676155107554e-05,
|
554 |
+
"loss": 2.2393,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.2771929824561403,
|
559 |
+
"grad_norm": 0.10770577192306519,
|
560 |
+
"learning_rate": 5.3837330391412626e-05,
|
561 |
+
"loss": 1.9827,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.2807017543859649,
|
566 |
+
"grad_norm": 0.10940691083669662,
|
567 |
+
"learning_rate": 5.36155044182715e-05,
|
568 |
+
"loss": 1.9657,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.28421052631578947,
|
573 |
+
"grad_norm": 0.1266562044620514,
|
574 |
+
"learning_rate": 5.339023062189667e-05,
|
575 |
+
"loss": 2.0797,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.28771929824561404,
|
580 |
+
"grad_norm": 0.11216572672128677,
|
581 |
+
"learning_rate": 5.3161541891876906e-05,
|
582 |
+
"loss": 2.0198,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.2912280701754386,
|
587 |
+
"grad_norm": 0.11424341052770615,
|
588 |
+
"learning_rate": 5.292947161637545e-05,
|
589 |
+
"loss": 2.0178,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.29473684210526313,
|
594 |
+
"grad_norm": 0.10189955681562424,
|
595 |
+
"learning_rate": 5.2694053677255404e-05,
|
596 |
+
"loss": 2.1625,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.2982456140350877,
|
601 |
+
"grad_norm": 0.12291618436574936,
|
602 |
+
"learning_rate": 5.245532244513303e-05,
|
603 |
+
"loss": 2.0019,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.3017543859649123,
|
608 |
+
"grad_norm": 0.11346428096294403,
|
609 |
+
"learning_rate": 5.2213312774359706e-05,
|
610 |
+
"loss": 2.1314,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.30526315789473685,
|
615 |
+
"grad_norm": 0.11410778015851974,
|
616 |
+
"learning_rate": 5.196805999793321e-05,
|
617 |
+
"loss": 2.1738,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.3087719298245614,
|
622 |
+
"grad_norm": 0.11488968133926392,
|
623 |
+
"learning_rate": 5.1719599922339234e-05,
|
624 |
+
"loss": 2.0488,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.312280701754386,
|
629 |
+
"grad_norm": 0.11716273427009583,
|
630 |
+
"learning_rate": 5.1467968822323636e-05,
|
631 |
+
"loss": 2.2643,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.3157894736842105,
|
636 |
+
"grad_norm": 0.12693484127521515,
|
637 |
+
"learning_rate": 5.1213203435596425e-05,
|
638 |
+
"loss": 1.9796,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.3192982456140351,
|
643 |
+
"grad_norm": 0.12479843944311142,
|
644 |
+
"learning_rate": 5.095534095746812e-05,
|
645 |
+
"loss": 2.1207,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.32280701754385965,
|
650 |
+
"grad_norm": 0.1232728436589241,
|
651 |
+
"learning_rate": 5.069441903541923e-05,
|
652 |
+
"loss": 2.0333,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.3263157894736842,
|
657 |
+
"grad_norm": 0.12169407308101654,
|
658 |
+
"learning_rate": 5.043047576360392e-05,
|
659 |
+
"loss": 2.063,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.3298245614035088,
|
664 |
+
"grad_norm": 0.12006253749132156,
|
665 |
+
"learning_rate": 5.016354967728818e-05,
|
666 |
+
"loss": 2.0197,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.3333333333333333,
|
671 |
+
"grad_norm": 0.12108758091926575,
|
672 |
+
"learning_rate": 4.989367974722386e-05,
|
673 |
+
"loss": 1.9304,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.3368421052631579,
|
678 |
+
"grad_norm": 0.12677016854286194,
|
679 |
+
"learning_rate": 4.962090537395894e-05,
|
680 |
+
"loss": 2.1133,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.34035087719298246,
|
685 |
+
"grad_norm": 0.13631866872310638,
|
686 |
+
"learning_rate": 4.934526638208512e-05,
|
687 |
+
"loss": 2.0936,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.34385964912280703,
|
692 |
+
"grad_norm": 0.13509684801101685,
|
693 |
+
"learning_rate": 4.9066803014423566e-05,
|
694 |
+
"loss": 2.0378,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.3473684210526316,
|
699 |
+
"grad_norm": 0.10955115407705307,
|
700 |
+
"learning_rate": 4.8785555926149415e-05,
|
701 |
+
"loss": 1.9979,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.3508771929824561,
|
706 |
+
"grad_norm": 0.10989337414503098,
|
707 |
+
"learning_rate": 4.85015661788563e-05,
|
708 |
+
"loss": 2.0235,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.3543859649122807,
|
713 |
+
"grad_norm": 0.10870235413312912,
|
714 |
+
"learning_rate": 4.821487523456134e-05,
|
715 |
+
"loss": 2.2916,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.35789473684210527,
|
720 |
+
"grad_norm": 0.11895206570625305,
|
721 |
+
"learning_rate": 4.792552494965182e-05,
|
722 |
+
"loss": 2.0428,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.36140350877192984,
|
727 |
+
"grad_norm": 0.1315065175294876,
|
728 |
+
"learning_rate": 4.7633557568774194e-05,
|
729 |
+
"loss": 2.2134,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.3649122807017544,
|
734 |
+
"grad_norm": 0.12591607868671417,
|
735 |
+
"learning_rate": 4.733901571866645e-05,
|
736 |
+
"loss": 2.2044,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.3684210526315789,
|
741 |
+
"grad_norm": 0.11799575388431549,
|
742 |
+
"learning_rate": 4.704194240193467e-05,
|
743 |
+
"loss": 2.0121,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.3719298245614035,
|
748 |
+
"grad_norm": 0.12055860459804535,
|
749 |
+
"learning_rate": 4.674238099077475e-05,
|
750 |
+
"loss": 2.2142,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.37543859649122807,
|
755 |
+
"grad_norm": 0.13334396481513977,
|
756 |
+
"learning_rate": 4.644037522064011e-05,
|
757 |
+
"loss": 1.9705,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.37894736842105264,
|
762 |
+
"grad_norm": 0.1212170422077179,
|
763 |
+
"learning_rate": 4.613596918385636e-05,
|
764 |
+
"loss": 1.9693,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.3824561403508772,
|
769 |
+
"grad_norm": 0.13068757951259613,
|
770 |
+
"learning_rate": 4.582920732318398e-05,
|
771 |
+
"loss": 2.0752,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.38596491228070173,
|
776 |
+
"grad_norm": 0.12562724947929382,
|
777 |
+
"learning_rate": 4.5520134425329705e-05,
|
778 |
+
"loss": 1.9943,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.3894736842105263,
|
783 |
+
"grad_norm": 0.12634319067001343,
|
784 |
+
"learning_rate": 4.5208795614407715e-05,
|
785 |
+
"loss": 2.1028,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.3929824561403509,
|
790 |
+
"grad_norm": 0.11350910365581512,
|
791 |
+
"learning_rate": 4.4895236345351645e-05,
|
792 |
+
"loss": 2.2079,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.39649122807017545,
|
797 |
+
"grad_norm": 0.11814025789499283,
|
798 |
+
"learning_rate": 4.457950239727818e-05,
|
799 |
+
"loss": 2.1619,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.4,
|
804 |
+
"grad_norm": 0.1307692676782608,
|
805 |
+
"learning_rate": 4.4261639866803486e-05,
|
806 |
+
"loss": 2.0255,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.40350877192982454,
|
811 |
+
"grad_norm": 0.12219037115573883,
|
812 |
+
"learning_rate": 4.394169516131306e-05,
|
813 |
+
"loss": 2.0005,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.4070175438596491,
|
818 |
+
"grad_norm": 0.11336469650268555,
|
819 |
+
"learning_rate": 4.3619714992186405e-05,
|
820 |
+
"loss": 2.1032,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.4105263157894737,
|
825 |
+
"grad_norm": 0.12509691715240479,
|
826 |
+
"learning_rate": 4.329574636797725e-05,
|
827 |
+
"loss": 2.1845,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.41403508771929826,
|
832 |
+
"grad_norm": 0.1294390708208084,
|
833 |
+
"learning_rate": 4.296983658755032e-05,
|
834 |
+
"loss": 2.16,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.41754385964912283,
|
839 |
+
"grad_norm": 0.11944102495908737,
|
840 |
+
"learning_rate": 4.264203323317588e-05,
|
841 |
+
"loss": 2.1965,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.42105263157894735,
|
846 |
+
"grad_norm": 0.11656481772661209,
|
847 |
+
"learning_rate": 4.231238416358271e-05,
|
848 |
+
"loss": 2.2442,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.4245614035087719,
|
853 |
+
"grad_norm": 0.11671917885541916,
|
854 |
+
"learning_rate": 4.198093750697086e-05,
|
855 |
+
"loss": 1.9754,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.4280701754385965,
|
860 |
+
"grad_norm": 0.1291894018650055,
|
861 |
+
"learning_rate": 4.164774165398505e-05,
|
862 |
+
"loss": 1.9795,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.43157894736842106,
|
867 |
+
"grad_norm": 0.11259818822145462,
|
868 |
+
"learning_rate": 4.131284525064961e-05,
|
869 |
+
"loss": 2.1273,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.43508771929824563,
|
874 |
+
"grad_norm": 0.11232686042785645,
|
875 |
+
"learning_rate": 4.0976297191266376e-05,
|
876 |
+
"loss": 2.3643,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.43859649122807015,
|
881 |
+
"grad_norm": 0.12415839731693268,
|
882 |
+
"learning_rate": 4.063814661127607e-05,
|
883 |
+
"loss": 2.2045,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.4421052631578947,
|
888 |
+
"grad_norm": 0.13372597098350525,
|
889 |
+
"learning_rate": 4.029844288008475e-05,
|
890 |
+
"loss": 2.0377,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.4456140350877193,
|
895 |
+
"grad_norm": 0.1277344524860382,
|
896 |
+
"learning_rate": 3.9957235593855856e-05,
|
897 |
+
"loss": 1.9898,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.44912280701754387,
|
902 |
+
"grad_norm": 0.17750953137874603,
|
903 |
+
"learning_rate": 3.961457456826929e-05,
|
904 |
+
"loss": 1.8503,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.45263157894736844,
|
909 |
+
"grad_norm": 0.12306816130876541,
|
910 |
+
"learning_rate": 3.927050983124842e-05,
|
911 |
+
"loss": 2.1545,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.45614035087719296,
|
916 |
+
"grad_norm": 0.12556982040405273,
|
917 |
+
"learning_rate": 3.892509161565609e-05,
|
918 |
+
"loss": 2.0301,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.45964912280701753,
|
923 |
+
"grad_norm": 0.11492066085338593,
|
924 |
+
"learning_rate": 3.8578370351960676e-05,
|
925 |
+
"loss": 2.0265,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.4631578947368421,
|
930 |
+
"grad_norm": 0.10817985981702805,
|
931 |
+
"learning_rate": 3.8230396660873376e-05,
|
932 |
+
"loss": 2.3565,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.4666666666666667,
|
937 |
+
"grad_norm": 0.13673719763755798,
|
938 |
+
"learning_rate": 3.788122134595761e-05,
|
939 |
+
"loss": 2.1245,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.47017543859649125,
|
944 |
+
"grad_norm": 0.14079900085926056,
|
945 |
+
"learning_rate": 3.753089538621185e-05,
|
946 |
+
"loss": 2.0535,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.47368421052631576,
|
951 |
+
"grad_norm": 0.11784680932760239,
|
952 |
+
"learning_rate": 3.717946992862674e-05,
|
953 |
+
"loss": 2.034,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.47719298245614034,
|
958 |
+
"grad_norm": 0.12113582342863083,
|
959 |
+
"learning_rate": 3.68269962807177e-05,
|
960 |
+
"loss": 2.0731,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.4807017543859649,
|
965 |
+
"grad_norm": 0.13436686992645264,
|
966 |
+
"learning_rate": 3.647352590303419e-05,
|
967 |
+
"loss": 2.1128,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.4842105263157895,
|
972 |
+
"grad_norm": 0.13415394723415375,
|
973 |
+
"learning_rate": 3.611911040164647e-05,
|
974 |
+
"loss": 1.8647,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.48771929824561405,
|
979 |
+
"grad_norm": 0.12898415327072144,
|
980 |
+
"learning_rate": 3.576380152061125e-05,
|
981 |
+
"loss": 1.9798,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.49122807017543857,
|
986 |
+
"grad_norm": 0.11745478957891464,
|
987 |
+
"learning_rate": 3.540765113441718e-05,
|
988 |
+
"loss": 2.1884,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.49473684210526314,
|
993 |
+
"grad_norm": 0.11902904510498047,
|
994 |
+
"learning_rate": 3.505071124041115e-05,
|
995 |
+
"loss": 2.2156,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.4982456140350877,
|
1000 |
+
"grad_norm": 0.13850358128547668,
|
1001 |
+
"learning_rate": 3.469303395120693e-05,
|
1002 |
+
"loss": 1.8751,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.5017543859649123,
|
1007 |
+
"grad_norm": 0.12531642615795135,
|
1008 |
+
"learning_rate": 3.4334671487076636e-05,
|
1009 |
+
"loss": 2.1471,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.5052631578947369,
|
1014 |
+
"grad_norm": 0.12197932600975037,
|
1015 |
+
"learning_rate": 3.3975676168326834e-05,
|
1016 |
+
"loss": 1.9089,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.5087719298245614,
|
1021 |
+
"grad_norm": 0.11156132072210312,
|
1022 |
+
"learning_rate": 3.361610040765969e-05,
|
1023 |
+
"loss": 2.0513,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.512280701754386,
|
1028 |
+
"grad_norm": 0.1183839663863182,
|
1029 |
+
"learning_rate": 3.325599670252099e-05,
|
1030 |
+
"loss": 2.1052,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.5157894736842106,
|
1035 |
+
"grad_norm": 0.12653163075447083,
|
1036 |
+
"learning_rate": 3.289541762743546e-05,
|
1037 |
+
"loss": 2.0598,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.519298245614035,
|
1042 |
+
"grad_norm": 0.1317450851202011,
|
1043 |
+
"learning_rate": 3.2534415826331014e-05,
|
1044 |
+
"loss": 2.082,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.5228070175438596,
|
1049 |
+
"grad_norm": 0.12523813545703888,
|
1050 |
+
"learning_rate": 3.2173044004852874e-05,
|
1051 |
+
"loss": 2.0974,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.5263157894736842,
|
1056 |
+
"grad_norm": 0.12494626641273499,
|
1057 |
+
"learning_rate": 3.1811354922668584e-05,
|
1058 |
+
"loss": 2.3148,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.5298245614035088,
|
1063 |
+
"grad_norm": 0.11819988489151001,
|
1064 |
+
"learning_rate": 3.144940138576521e-05,
|
1065 |
+
"loss": 2.0978,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.5333333333333333,
|
1070 |
+
"grad_norm": 0.12493463605642319,
|
1071 |
+
"learning_rate": 3.108723623873977e-05,
|
1072 |
+
"loss": 2.1228,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.5368421052631579,
|
1077 |
+
"grad_norm": 0.11485088616609573,
|
1078 |
+
"learning_rate": 3.072491235708397e-05,
|
1079 |
+
"loss": 2.2135,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.5403508771929825,
|
1084 |
+
"grad_norm": 0.12239831686019897,
|
1085 |
+
"learning_rate": 3.0362482639464522e-05,
|
1086 |
+
"loss": 2.076,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.543859649122807,
|
1091 |
+
"grad_norm": 0.12548470497131348,
|
1092 |
+
"learning_rate": 3e-05,
|
1093 |
+
"loss": 2.062,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.5473684210526316,
|
1098 |
+
"grad_norm": 0.12589600682258606,
|
1099 |
+
"learning_rate": 2.963751736053548e-05,
|
1100 |
+
"loss": 2.0006,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.5508771929824562,
|
1105 |
+
"grad_norm": 0.13063469529151917,
|
1106 |
+
"learning_rate": 2.927508764291604e-05,
|
1107 |
+
"loss": 1.8844,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.5543859649122806,
|
1112 |
+
"grad_norm": 0.12271241843700409,
|
1113 |
+
"learning_rate": 2.891276376126024e-05,
|
1114 |
+
"loss": 2.0471,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.5578947368421052,
|
1119 |
+
"grad_norm": 0.124054454267025,
|
1120 |
+
"learning_rate": 2.8550598614234793e-05,
|
1121 |
+
"loss": 2.0801,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.5614035087719298,
|
1126 |
+
"grad_norm": 0.12535397708415985,
|
1127 |
+
"learning_rate": 2.8188645077331414e-05,
|
1128 |
+
"loss": 2.0612,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.5649122807017544,
|
1133 |
+
"grad_norm": 0.12145686894655228,
|
1134 |
+
"learning_rate": 2.782695599514713e-05,
|
1135 |
+
"loss": 2.1516,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.5684210526315789,
|
1140 |
+
"grad_norm": 0.14351366460323334,
|
1141 |
+
"learning_rate": 2.746558417366899e-05,
|
1142 |
+
"loss": 1.9728,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.5719298245614035,
|
1147 |
+
"grad_norm": 0.1383461058139801,
|
1148 |
+
"learning_rate": 2.7104582372564547e-05,
|
1149 |
+
"loss": 2.2342,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.5754385964912281,
|
1154 |
+
"grad_norm": 0.12213313579559326,
|
1155 |
+
"learning_rate": 2.6744003297479016e-05,
|
1156 |
+
"loss": 2.0961,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.5789473684210527,
|
1161 |
+
"grad_norm": 0.13188298046588898,
|
1162 |
+
"learning_rate": 2.6383899592340312e-05,
|
1163 |
+
"loss": 1.9805,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.5824561403508772,
|
1168 |
+
"grad_norm": 0.12241267412900925,
|
1169 |
+
"learning_rate": 2.602432383167318e-05,
|
1170 |
+
"loss": 2.1336,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.5859649122807018,
|
1175 |
+
"grad_norm": 0.1236441507935524,
|
1176 |
+
"learning_rate": 2.566532851292337e-05,
|
1177 |
+
"loss": 2.1338,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.5894736842105263,
|
1182 |
+
"grad_norm": 0.13339705765247345,
|
1183 |
+
"learning_rate": 2.530696604879307e-05,
|
1184 |
+
"loss": 1.9877,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.5929824561403508,
|
1189 |
+
"grad_norm": 0.12486617267131805,
|
1190 |
+
"learning_rate": 2.4949288759588843e-05,
|
1191 |
+
"loss": 2.1196,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.5964912280701754,
|
1196 |
+
"grad_norm": 0.12080895155668259,
|
1197 |
+
"learning_rate": 2.459234886558283e-05,
|
1198 |
+
"loss": 2.1327,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.6,
|
1203 |
+
"grad_norm": 0.12551304697990417,
|
1204 |
+
"learning_rate": 2.4236198479388747e-05,
|
1205 |
+
"loss": 1.9393,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.6035087719298246,
|
1210 |
+
"grad_norm": 0.12770839035511017,
|
1211 |
+
"learning_rate": 2.3880889598353544e-05,
|
1212 |
+
"loss": 2.1024,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.6070175438596491,
|
1217 |
+
"grad_norm": 0.1613360196352005,
|
1218 |
+
"learning_rate": 2.352647409696582e-05,
|
1219 |
+
"loss": 1.8259,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.6105263157894737,
|
1224 |
+
"grad_norm": 0.12359873205423355,
|
1225 |
+
"learning_rate": 2.31730037192823e-05,
|
1226 |
+
"loss": 2.0849,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.6140350877192983,
|
1231 |
+
"grad_norm": 0.124616339802742,
|
1232 |
+
"learning_rate": 2.2820530071373278e-05,
|
1233 |
+
"loss": 2.2074,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.6175438596491228,
|
1238 |
+
"grad_norm": 0.1181364506483078,
|
1239 |
+
"learning_rate": 2.246910461378815e-05,
|
1240 |
+
"loss": 2.1069,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.6210526315789474,
|
1245 |
+
"grad_norm": 0.12338215857744217,
|
1246 |
+
"learning_rate": 2.2118778654042395e-05,
|
1247 |
+
"loss": 2.1848,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.624561403508772,
|
1252 |
+
"grad_norm": 0.1383160799741745,
|
1253 |
+
"learning_rate": 2.1769603339126626e-05,
|
1254 |
+
"loss": 2.0918,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.6280701754385964,
|
1259 |
+
"grad_norm": 0.12015274912118912,
|
1260 |
+
"learning_rate": 2.142162964803933e-05,
|
1261 |
+
"loss": 2.2665,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.631578947368421,
|
1266 |
+
"grad_norm": 0.14904998242855072,
|
1267 |
+
"learning_rate": 2.1074908384343916e-05,
|
1268 |
+
"loss": 1.9662,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.6350877192982456,
|
1273 |
+
"grad_norm": 0.1324617713689804,
|
1274 |
+
"learning_rate": 2.072949016875158e-05,
|
1275 |
+
"loss": 2.1624,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.6385964912280702,
|
1280 |
+
"grad_norm": 0.13385087251663208,
|
1281 |
+
"learning_rate": 2.0385425431730716e-05,
|
1282 |
+
"loss": 2.0126,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.6421052631578947,
|
1287 |
+
"grad_norm": 0.13096769154071808,
|
1288 |
+
"learning_rate": 2.0042764406144155e-05,
|
1289 |
+
"loss": 2.0768,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.6456140350877193,
|
1294 |
+
"grad_norm": 0.12568296492099762,
|
1295 |
+
"learning_rate": 1.970155711991525e-05,
|
1296 |
+
"loss": 2.216,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.6491228070175439,
|
1301 |
+
"grad_norm": 0.14268100261688232,
|
1302 |
+
"learning_rate": 1.936185338872393e-05,
|
1303 |
+
"loss": 2.1907,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.6526315789473685,
|
1308 |
+
"grad_norm": 0.14268723130226135,
|
1309 |
+
"learning_rate": 1.9023702808733635e-05,
|
1310 |
+
"loss": 2.0716,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.656140350877193,
|
1315 |
+
"grad_norm": 0.15304097533226013,
|
1316 |
+
"learning_rate": 1.8687154749350388e-05,
|
1317 |
+
"loss": 1.8692,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.6596491228070176,
|
1322 |
+
"grad_norm": 0.17945235967636108,
|
1323 |
+
"learning_rate": 1.8352258346014953e-05,
|
1324 |
+
"loss": 1.7839,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.6631578947368421,
|
1329 |
+
"grad_norm": 0.13728468120098114,
|
1330 |
+
"learning_rate": 1.8019062493029138e-05,
|
1331 |
+
"loss": 2.0884,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.6666666666666666,
|
1336 |
+
"grad_norm": 0.1320762038230896,
|
1337 |
+
"learning_rate": 1.76876158364173e-05,
|
1338 |
+
"loss": 1.8989,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.6701754385964912,
|
1343 |
+
"grad_norm": 0.1560417264699936,
|
1344 |
+
"learning_rate": 1.7357966766824134e-05,
|
1345 |
+
"loss": 1.9468,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.6736842105263158,
|
1350 |
+
"grad_norm": 0.14444367587566376,
|
1351 |
+
"learning_rate": 1.7030163412449674e-05,
|
1352 |
+
"loss": 1.9449,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.6771929824561403,
|
1357 |
+
"grad_norm": 0.20545677840709686,
|
1358 |
+
"learning_rate": 1.6704253632022765e-05,
|
1359 |
+
"loss": 1.89,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.6807017543859649,
|
1364 |
+
"grad_norm": 0.1266920417547226,
|
1365 |
+
"learning_rate": 1.6380285007813596e-05,
|
1366 |
+
"loss": 2.2582,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.6842105263157895,
|
1371 |
+
"grad_norm": 0.13746094703674316,
|
1372 |
+
"learning_rate": 1.6058304838686945e-05,
|
1373 |
+
"loss": 2.1991,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.6877192982456141,
|
1378 |
+
"grad_norm": 0.12731488049030304,
|
1379 |
+
"learning_rate": 1.5738360133196516e-05,
|
1380 |
+
"loss": 2.0734,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.6912280701754386,
|
1385 |
+
"grad_norm": 0.12864916026592255,
|
1386 |
+
"learning_rate": 1.542049760272182e-05,
|
1387 |
+
"loss": 2.1831,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.6947368421052632,
|
1392 |
+
"grad_norm": 0.13020969927310944,
|
1393 |
+
"learning_rate": 1.5104763654648375e-05,
|
1394 |
+
"loss": 2.0344,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.6982456140350877,
|
1399 |
+
"grad_norm": 0.11206473410129547,
|
1400 |
+
"learning_rate": 1.4791204385592297e-05,
|
1401 |
+
"loss": 2.3081,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.7017543859649122,
|
1406 |
+
"grad_norm": 0.1320793628692627,
|
1407 |
+
"learning_rate": 1.4479865574670293e-05,
|
1408 |
+
"loss": 2.052,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.7052631578947368,
|
1413 |
+
"grad_norm": 0.14232482016086578,
|
1414 |
+
"learning_rate": 1.4170792676816015e-05,
|
1415 |
+
"loss": 1.9167,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.7087719298245614,
|
1420 |
+
"grad_norm": 0.1702522486448288,
|
1421 |
+
"learning_rate": 1.3864030816143643e-05,
|
1422 |
+
"loss": 1.9151,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.712280701754386,
|
1427 |
+
"grad_norm": 0.13469327986240387,
|
1428 |
+
"learning_rate": 1.3559624779359908e-05,
|
1429 |
+
"loss": 1.9203,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.7157894736842105,
|
1434 |
+
"grad_norm": 0.13646726310253143,
|
1435 |
+
"learning_rate": 1.3257619009225253e-05,
|
1436 |
+
"loss": 2.2265,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.7192982456140351,
|
1441 |
+
"grad_norm": 0.12395426630973816,
|
1442 |
+
"learning_rate": 1.2958057598065328e-05,
|
1443 |
+
"loss": 2.0885,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.7228070175438597,
|
1448 |
+
"grad_norm": 0.12457320839166641,
|
1449 |
+
"learning_rate": 1.2660984281333553e-05,
|
1450 |
+
"loss": 2.1296,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.7263157894736842,
|
1455 |
+
"grad_norm": 0.12583313882350922,
|
1456 |
+
"learning_rate": 1.2366442431225809e-05,
|
1457 |
+
"loss": 2.2298,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.7298245614035088,
|
1462 |
+
"grad_norm": 0.13265646994113922,
|
1463 |
+
"learning_rate": 1.2074475050348181e-05,
|
1464 |
+
"loss": 2.0604,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.7333333333333333,
|
1469 |
+
"grad_norm": 0.13001544773578644,
|
1470 |
+
"learning_rate": 1.1785124765438666e-05,
|
1471 |
+
"loss": 1.66,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.7368421052631579,
|
1476 |
+
"grad_norm": 0.12221955507993698,
|
1477 |
+
"learning_rate": 1.1498433821143707e-05,
|
1478 |
+
"loss": 2.337,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.7403508771929824,
|
1483 |
+
"grad_norm": 0.1360742449760437,
|
1484 |
+
"learning_rate": 1.121444407385059e-05,
|
1485 |
+
"loss": 1.9907,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.743859649122807,
|
1490 |
+
"grad_norm": 0.13305602967739105,
|
1491 |
+
"learning_rate": 1.0933196985576443e-05,
|
1492 |
+
"loss": 2.0058,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.7473684210526316,
|
1497 |
+
"grad_norm": 0.14633433520793915,
|
1498 |
+
"learning_rate": 1.0654733617914889e-05,
|
1499 |
+
"loss": 2.1349,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.7508771929824561,
|
1504 |
+
"grad_norm": 0.1337619572877884,
|
1505 |
+
"learning_rate": 1.0379094626041076e-05,
|
1506 |
+
"loss": 2.1434,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.7543859649122807,
|
1511 |
+
"grad_norm": 0.12340360134840012,
|
1512 |
+
"learning_rate": 1.0106320252776151e-05,
|
1513 |
+
"loss": 2.1285,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.7578947368421053,
|
1518 |
+
"grad_norm": 0.133439838886261,
|
1519 |
+
"learning_rate": 9.836450322711816e-06,
|
1520 |
+
"loss": 2.2396,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.7614035087719299,
|
1525 |
+
"grad_norm": 0.11517748236656189,
|
1526 |
+
"learning_rate": 9.569524236396082e-06,
|
1527 |
+
"loss": 2.2786,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.7649122807017544,
|
1532 |
+
"grad_norm": 0.12936294078826904,
|
1533 |
+
"learning_rate": 9.305580964580771e-06,
|
1534 |
+
"loss": 1.9806,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.7684210526315789,
|
1539 |
+
"grad_norm": 0.12179510295391083,
|
1540 |
+
"learning_rate": 9.044659042531894e-06,
|
1541 |
+
"loss": 2.3314,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.7719298245614035,
|
1546 |
+
"grad_norm": 0.13949505984783173,
|
1547 |
+
"learning_rate": 8.786796564403577e-06,
|
1548 |
+
"loss": 2.0178,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.775438596491228,
|
1553 |
+
"grad_norm": 0.14202281832695007,
|
1554 |
+
"learning_rate": 8.53203117767637e-06,
|
1555 |
+
"loss": 2.0716,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.7789473684210526,
|
1560 |
+
"grad_norm": 0.1363075077533722,
|
1561 |
+
"learning_rate": 8.280400077660774e-06,
|
1562 |
+
"loss": 1.9615,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.7824561403508772,
|
1567 |
+
"grad_norm": 0.14736121892929077,
|
1568 |
+
"learning_rate": 8.031940002066804e-06,
|
1569 |
+
"loss": 1.8541,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.7859649122807018,
|
1574 |
+
"grad_norm": 0.1318388134241104,
|
1575 |
+
"learning_rate": 7.78668722564031e-06,
|
1576 |
+
"loss": 2.2338,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.7894736842105263,
|
1581 |
+
"grad_norm": 0.13814999163150787,
|
1582 |
+
"learning_rate": 7.544677554866964e-06,
|
1583 |
+
"loss": 2.0775,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.7929824561403509,
|
1588 |
+
"grad_norm": 0.13002215325832367,
|
1589 |
+
"learning_rate": 7.305946322744591e-06,
|
1590 |
+
"loss": 1.9746,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.7964912280701755,
|
1595 |
+
"grad_norm": 0.1340227872133255,
|
1596 |
+
"learning_rate": 7.070528383624548e-06,
|
1597 |
+
"loss": 1.913,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.8,
|
1602 |
+
"grad_norm": 0.12861642241477966,
|
1603 |
+
"learning_rate": 6.838458108123103e-06,
|
1604 |
+
"loss": 2.28,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.8035087719298246,
|
1609 |
+
"grad_norm": 0.12282972782850266,
|
1610 |
+
"learning_rate": 6.6097693781033316e-06,
|
1611 |
+
"loss": 2.1254,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.8070175438596491,
|
1616 |
+
"grad_norm": 0.12134941667318344,
|
1617 |
+
"learning_rate": 6.384495581728498e-06,
|
1618 |
+
"loss": 2.1872,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.8105263157894737,
|
1623 |
+
"grad_norm": 0.1427871286869049,
|
1624 |
+
"learning_rate": 6.162669608587376e-06,
|
1625 |
+
"loss": 2.0682,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.8140350877192982,
|
1630 |
+
"grad_norm": 0.1252429336309433,
|
1631 |
+
"learning_rate": 5.944323844892447e-06,
|
1632 |
+
"loss": 2.1674,
|
1633 |
+
"step": 232
|
1634 |
+
}
|
1635 |
+
],
|
1636 |
+
"logging_steps": 1,
|
1637 |
+
"max_steps": 285,
|
1638 |
+
"num_input_tokens_seen": 0,
|
1639 |
+
"num_train_epochs": 1,
|
1640 |
+
"save_steps": 29,
|
1641 |
+
"stateful_callbacks": {
|
1642 |
+
"TrainerControl": {
|
1643 |
+
"args": {
|
1644 |
+
"should_epoch_stop": false,
|
1645 |
+
"should_evaluate": false,
|
1646 |
+
"should_log": false,
|
1647 |
+
"should_save": true,
|
1648 |
+
"should_training_stop": false
|
1649 |
+
},
|
1650 |
+
"attributes": {}
|
1651 |
+
}
|
1652 |
+
},
|
1653 |
+
"total_flos": 9.730618611109724e+17,
|
1654 |
+
"train_batch_size": 12,
|
1655 |
+
"trial_name": null,
|
1656 |
+
"trial_params": null
|
1657 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8214cb8c9a639a4330c6454862b949256422805cb9d03d96b231bc1522f4a1fc
|
3 |
+
size 6712
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|