Uploading model files
Browse files- .gitattributes +1 -0
- README.md +202 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +24 -0
- chat_template.jinja +54 -0
- merges.txt +0 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- trainer_state.json +3694 -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: Qwen/Qwen2.5-7B-Instruct
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.15.2
|
adapter_config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 32,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"o_proj",
|
24 |
+
"down_proj",
|
25 |
+
"gate_up_proj",
|
26 |
+
"qkv_proj"
|
27 |
+
],
|
28 |
+
"task_type": "CAUSAL_LM",
|
29 |
+
"use_dora": false,
|
30 |
+
"use_rslora": true
|
31 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:22e19bbe399dae61169a4496a3473373b77047f8b4176f804b5f3b356bebb760
|
3 |
+
size 106445440
|
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 |
+
}
|
chat_template.jinja
ADDED
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{%- if tools %}
|
2 |
+
{{- '<|im_start|>system\n' }}
|
3 |
+
{%- if messages[0]['role'] == 'system' %}
|
4 |
+
{{- messages[0]['content'] }}
|
5 |
+
{%- else %}
|
6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
7 |
+
{%- endif %}
|
8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
9 |
+
{%- for tool in tools %}
|
10 |
+
{{- "\n" }}
|
11 |
+
{{- tool | tojson }}
|
12 |
+
{%- endfor %}
|
13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
14 |
+
{%- else %}
|
15 |
+
{%- if messages[0]['role'] == 'system' %}
|
16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
17 |
+
{%- else %}
|
18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
19 |
+
{%- endif %}
|
20 |
+
{%- endif %}
|
21 |
+
{%- for message in messages %}
|
22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
24 |
+
{%- elif message.role == "assistant" %}
|
25 |
+
{{- '<|im_start|>' + message.role }}
|
26 |
+
{%- if message.content %}
|
27 |
+
{{- '\n' + message.content }}
|
28 |
+
{%- endif %}
|
29 |
+
{%- for tool_call in message.tool_calls %}
|
30 |
+
{%- if tool_call.function is defined %}
|
31 |
+
{%- set tool_call = tool_call.function %}
|
32 |
+
{%- endif %}
|
33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
34 |
+
{{- tool_call.name }}
|
35 |
+
{{- '", "arguments": ' }}
|
36 |
+
{{- tool_call.arguments | tojson }}
|
37 |
+
{{- '}\n</tool_call>' }}
|
38 |
+
{%- endfor %}
|
39 |
+
{{- '<|im_end|>\n' }}
|
40 |
+
{%- elif message.role == "tool" %}
|
41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
42 |
+
{{- '<|im_start|>user' }}
|
43 |
+
{%- endif %}
|
44 |
+
{{- '\n<tool_response>\n' }}
|
45 |
+
{{- message.content }}
|
46 |
+
{{- '\n</tool_response>' }}
|
47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
48 |
+
{{- '<|im_end|>\n' }}
|
49 |
+
{%- endif %}
|
50 |
+
{%- endif %}
|
51 |
+
{%- endfor %}
|
52 |
+
{%- if add_generation_prompt %}
|
53 |
+
{{- '<|im_start|>assistant\n' }}
|
54 |
+
{%- endif %}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
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 |
+
"clean_up_tokenization_spaces": false,
|
199 |
+
"eos_token": "<|im_end|>",
|
200 |
+
"errors": "replace",
|
201 |
+
"extra_special_tokens": {},
|
202 |
+
"model_max_length": 131072,
|
203 |
+
"pad_token": "<|endoftext|>",
|
204 |
+
"padding_side": "right",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3694 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 1.5017840375586853,
|
6 |
+
"eval_steps": 50,
|
7 |
+
"global_step": 1000,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.003004694835680751,
|
14 |
+
"grad_norm": 3.345860242843628,
|
15 |
+
"learning_rate": 4.477611940298507e-06,
|
16 |
+
"loss": 3.0334,
|
17 |
+
"step": 2
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.006009389671361502,
|
21 |
+
"grad_norm": 3.1856071949005127,
|
22 |
+
"learning_rate": 1.343283582089552e-05,
|
23 |
+
"loss": 3.1443,
|
24 |
+
"step": 4
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.009014084507042254,
|
28 |
+
"grad_norm": 2.940918207168579,
|
29 |
+
"learning_rate": 2.2388059701492532e-05,
|
30 |
+
"loss": 2.9871,
|
31 |
+
"step": 6
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.012018779342723005,
|
35 |
+
"grad_norm": 1.7457096576690674,
|
36 |
+
"learning_rate": 3.134328358208955e-05,
|
37 |
+
"loss": 2.8271,
|
38 |
+
"step": 8
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.015023474178403756,
|
42 |
+
"grad_norm": 0.6361491680145264,
|
43 |
+
"learning_rate": 4.029850746268656e-05,
|
44 |
+
"loss": 2.6946,
|
45 |
+
"step": 10
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.018028169014084508,
|
49 |
+
"grad_norm": 0.7177234888076782,
|
50 |
+
"learning_rate": 4.925373134328358e-05,
|
51 |
+
"loss": 2.6783,
|
52 |
+
"step": 12
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.021032863849765257,
|
56 |
+
"grad_norm": 0.8950934410095215,
|
57 |
+
"learning_rate": 5.8208955223880594e-05,
|
58 |
+
"loss": 2.6021,
|
59 |
+
"step": 14
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.02403755868544601,
|
63 |
+
"grad_norm": 0.7039217352867126,
|
64 |
+
"learning_rate": 6.716417910447761e-05,
|
65 |
+
"loss": 2.5842,
|
66 |
+
"step": 16
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.027042253521126762,
|
70 |
+
"grad_norm": 0.36443546414375305,
|
71 |
+
"learning_rate": 7.611940298507463e-05,
|
72 |
+
"loss": 2.5101,
|
73 |
+
"step": 18
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.03004694835680751,
|
77 |
+
"grad_norm": 0.4032372832298279,
|
78 |
+
"learning_rate": 8.507462686567163e-05,
|
79 |
+
"loss": 2.4882,
|
80 |
+
"step": 20
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.03305164319248826,
|
84 |
+
"grad_norm": 0.44657716155052185,
|
85 |
+
"learning_rate": 9.402985074626866e-05,
|
86 |
+
"loss": 2.5475,
|
87 |
+
"step": 22
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.036056338028169016,
|
91 |
+
"grad_norm": 0.37746167182922363,
|
92 |
+
"learning_rate": 0.00010298507462686566,
|
93 |
+
"loss": 2.5153,
|
94 |
+
"step": 24
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.039061032863849765,
|
98 |
+
"grad_norm": 0.3511013388633728,
|
99 |
+
"learning_rate": 0.00011194029850746269,
|
100 |
+
"loss": 2.4901,
|
101 |
+
"step": 26
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.042065727699530514,
|
105 |
+
"grad_norm": 0.3548150062561035,
|
106 |
+
"learning_rate": 0.00012089552238805969,
|
107 |
+
"loss": 2.4899,
|
108 |
+
"step": 28
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.04507042253521127,
|
112 |
+
"grad_norm": 0.34047168493270874,
|
113 |
+
"learning_rate": 0.0001298507462686567,
|
114 |
+
"loss": 2.5165,
|
115 |
+
"step": 30
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.04807511737089202,
|
119 |
+
"grad_norm": 0.328000009059906,
|
120 |
+
"learning_rate": 0.00013880597014925372,
|
121 |
+
"loss": 2.4753,
|
122 |
+
"step": 32
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.05107981220657277,
|
126 |
+
"grad_norm": 0.3316989243030548,
|
127 |
+
"learning_rate": 0.00014776119402985072,
|
128 |
+
"loss": 2.4151,
|
129 |
+
"step": 34
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.054084507042253524,
|
133 |
+
"grad_norm": 0.32479584217071533,
|
134 |
+
"learning_rate": 0.00015671641791044772,
|
135 |
+
"loss": 2.3567,
|
136 |
+
"step": 36
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.05708920187793427,
|
140 |
+
"grad_norm": 0.32302042841911316,
|
141 |
+
"learning_rate": 0.00016567164179104478,
|
142 |
+
"loss": 2.5137,
|
143 |
+
"step": 38
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.06009389671361502,
|
147 |
+
"grad_norm": 0.3057011365890503,
|
148 |
+
"learning_rate": 0.00017462686567164178,
|
149 |
+
"loss": 2.4078,
|
150 |
+
"step": 40
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.06309859154929577,
|
154 |
+
"grad_norm": 0.30654028058052063,
|
155 |
+
"learning_rate": 0.00018358208955223879,
|
156 |
+
"loss": 2.3863,
|
157 |
+
"step": 42
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.06610328638497652,
|
161 |
+
"grad_norm": 0.29615163803100586,
|
162 |
+
"learning_rate": 0.0001925373134328358,
|
163 |
+
"loss": 2.4222,
|
164 |
+
"step": 44
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.06910798122065728,
|
168 |
+
"grad_norm": 0.2895660102367401,
|
169 |
+
"learning_rate": 0.00020149253731343284,
|
170 |
+
"loss": 2.4977,
|
171 |
+
"step": 46
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.07211267605633803,
|
175 |
+
"grad_norm": 0.28147512674331665,
|
176 |
+
"learning_rate": 0.00021044776119402985,
|
177 |
+
"loss": 2.4414,
|
178 |
+
"step": 48
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.07511737089201878,
|
182 |
+
"grad_norm": 0.2934994399547577,
|
183 |
+
"learning_rate": 0.00021940298507462685,
|
184 |
+
"loss": 2.4121,
|
185 |
+
"step": 50
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.07511737089201878,
|
189 |
+
"eval_loss": 2.314633369445801,
|
190 |
+
"eval_runtime": 2.2345,
|
191 |
+
"eval_samples_per_second": 15.216,
|
192 |
+
"eval_steps_per_second": 1.343,
|
193 |
+
"step": 50
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.07812206572769953,
|
197 |
+
"grad_norm": 0.2928488552570343,
|
198 |
+
"learning_rate": 0.00022835820895522385,
|
199 |
+
"loss": 2.317,
|
200 |
+
"step": 52
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.08112676056338028,
|
204 |
+
"grad_norm": 0.3315216302871704,
|
205 |
+
"learning_rate": 0.00023731343283582085,
|
206 |
+
"loss": 2.2459,
|
207 |
+
"step": 54
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.08413145539906103,
|
211 |
+
"grad_norm": 0.3117794990539551,
|
212 |
+
"learning_rate": 0.0002462686567164179,
|
213 |
+
"loss": 2.4086,
|
214 |
+
"step": 56
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.08713615023474178,
|
218 |
+
"grad_norm": 0.31090959906578064,
|
219 |
+
"learning_rate": 0.0002552238805970149,
|
220 |
+
"loss": 2.3513,
|
221 |
+
"step": 58
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.09014084507042254,
|
225 |
+
"grad_norm": 0.3119109869003296,
|
226 |
+
"learning_rate": 0.0002641791044776119,
|
227 |
+
"loss": 2.3925,
|
228 |
+
"step": 60
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.09314553990610329,
|
232 |
+
"grad_norm": 0.312026709318161,
|
233 |
+
"learning_rate": 0.0002731343283582089,
|
234 |
+
"loss": 2.4096,
|
235 |
+
"step": 62
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.09615023474178404,
|
239 |
+
"grad_norm": 0.32059046626091003,
|
240 |
+
"learning_rate": 0.00028208955223880597,
|
241 |
+
"loss": 2.308,
|
242 |
+
"step": 64
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.09915492957746479,
|
246 |
+
"grad_norm": 0.31604453921318054,
|
247 |
+
"learning_rate": 0.00029104477611940297,
|
248 |
+
"loss": 2.3848,
|
249 |
+
"step": 66
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.10215962441314554,
|
253 |
+
"grad_norm": 0.35594430565834045,
|
254 |
+
"learning_rate": 0.0003,
|
255 |
+
"loss": 2.3447,
|
256 |
+
"step": 68
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.10516431924882629,
|
260 |
+
"grad_norm": 0.35272663831710815,
|
261 |
+
"learning_rate": 0.0002999981497131758,
|
262 |
+
"loss": 2.3022,
|
263 |
+
"step": 70
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.10816901408450705,
|
267 |
+
"grad_norm": 0.36890238523483276,
|
268 |
+
"learning_rate": 0.000299992598898351,
|
269 |
+
"loss": 2.3401,
|
270 |
+
"step": 72
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.1111737089201878,
|
274 |
+
"grad_norm": 0.3586670160293579,
|
275 |
+
"learning_rate": 0.0002999833476924667,
|
276 |
+
"loss": 2.3703,
|
277 |
+
"step": 74
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 0.11417840375586855,
|
281 |
+
"grad_norm": 0.32580092549324036,
|
282 |
+
"learning_rate": 0.0002999703963237548,
|
283 |
+
"loss": 2.3269,
|
284 |
+
"step": 76
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.1171830985915493,
|
288 |
+
"grad_norm": 0.3425409197807312,
|
289 |
+
"learning_rate": 0.0002999537451117319,
|
290 |
+
"loss": 2.3419,
|
291 |
+
"step": 78
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.12018779342723004,
|
295 |
+
"grad_norm": 0.35141387581825256,
|
296 |
+
"learning_rate": 0.00029993339446719155,
|
297 |
+
"loss": 2.2929,
|
298 |
+
"step": 80
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 0.1231924882629108,
|
302 |
+
"grad_norm": 0.34454619884490967,
|
303 |
+
"learning_rate": 0.0002999093448921942,
|
304 |
+
"loss": 2.2712,
|
305 |
+
"step": 82
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.12619718309859154,
|
309 |
+
"grad_norm": 0.3879588842391968,
|
310 |
+
"learning_rate": 0.00029988159698005463,
|
311 |
+
"loss": 2.3465,
|
312 |
+
"step": 84
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 0.1292018779342723,
|
316 |
+
"grad_norm": 0.40479347109794617,
|
317 |
+
"learning_rate": 0.0002998501514153275,
|
318 |
+
"loss": 2.3002,
|
319 |
+
"step": 86
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 0.13220657276995304,
|
323 |
+
"grad_norm": 0.35989129543304443,
|
324 |
+
"learning_rate": 0.00029981500897379023,
|
325 |
+
"loss": 2.2845,
|
326 |
+
"step": 88
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.1352112676056338,
|
330 |
+
"grad_norm": 0.3578004240989685,
|
331 |
+
"learning_rate": 0.00029977617052242417,
|
332 |
+
"loss": 2.2632,
|
333 |
+
"step": 90
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.13821596244131457,
|
337 |
+
"grad_norm": 0.3477707505226135,
|
338 |
+
"learning_rate": 0.000299733637019393,
|
339 |
+
"loss": 2.2441,
|
340 |
+
"step": 92
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 0.14122065727699532,
|
344 |
+
"grad_norm": 0.36094820499420166,
|
345 |
+
"learning_rate": 0.00029968740951401914,
|
346 |
+
"loss": 2.294,
|
347 |
+
"step": 94
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 0.14422535211267606,
|
351 |
+
"grad_norm": 0.3719354271888733,
|
352 |
+
"learning_rate": 0.0002996374891467578,
|
353 |
+
"loss": 2.2513,
|
354 |
+
"step": 96
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.1472300469483568,
|
358 |
+
"grad_norm": 0.39865416288375854,
|
359 |
+
"learning_rate": 0.000299583877149169,
|
360 |
+
"loss": 2.294,
|
361 |
+
"step": 98
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.15023474178403756,
|
365 |
+
"grad_norm": 0.34469255805015564,
|
366 |
+
"learning_rate": 0.000299526574843887,
|
367 |
+
"loss": 2.2629,
|
368 |
+
"step": 100
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.15023474178403756,
|
372 |
+
"eval_loss": 2.2252323627471924,
|
373 |
+
"eval_runtime": 2.2926,
|
374 |
+
"eval_samples_per_second": 14.83,
|
375 |
+
"eval_steps_per_second": 1.309,
|
376 |
+
"step": 100
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 0.1532394366197183,
|
380 |
+
"grad_norm": 0.34142881631851196,
|
381 |
+
"learning_rate": 0.0002994655836445878,
|
382 |
+
"loss": 2.2671,
|
383 |
+
"step": 102
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.15624413145539906,
|
387 |
+
"grad_norm": 0.3718002736568451,
|
388 |
+
"learning_rate": 0.00029940090505595424,
|
389 |
+
"loss": 2.2759,
|
390 |
+
"step": 104
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.1592488262910798,
|
394 |
+
"grad_norm": 0.35945722460746765,
|
395 |
+
"learning_rate": 0.00029933254067363886,
|
396 |
+
"loss": 2.2937,
|
397 |
+
"step": 106
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 0.16225352112676056,
|
401 |
+
"grad_norm": 0.34711506962776184,
|
402 |
+
"learning_rate": 0.0002992604921842246,
|
403 |
+
"loss": 2.32,
|
404 |
+
"step": 108
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.1652582159624413,
|
408 |
+
"grad_norm": 0.35870376229286194,
|
409 |
+
"learning_rate": 0.000299184761365183,
|
410 |
+
"loss": 2.2718,
|
411 |
+
"step": 110
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.16826291079812206,
|
415 |
+
"grad_norm": 0.3389629125595093,
|
416 |
+
"learning_rate": 0.0002991053500848305,
|
417 |
+
"loss": 2.3221,
|
418 |
+
"step": 112
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.1712676056338028,
|
422 |
+
"grad_norm": 0.3516780734062195,
|
423 |
+
"learning_rate": 0.00029902226030228247,
|
424 |
+
"loss": 2.3205,
|
425 |
+
"step": 114
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.17427230046948355,
|
429 |
+
"grad_norm": 0.3356691300868988,
|
430 |
+
"learning_rate": 0.0002989354940674046,
|
431 |
+
"loss": 2.1508,
|
432 |
+
"step": 116
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 0.17727699530516433,
|
436 |
+
"grad_norm": 0.34136658906936646,
|
437 |
+
"learning_rate": 0.00029884505352076264,
|
438 |
+
"loss": 2.2405,
|
439 |
+
"step": 118
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 0.18028169014084508,
|
443 |
+
"grad_norm": 0.40186941623687744,
|
444 |
+
"learning_rate": 0.00029875094089356903,
|
445 |
+
"loss": 2.2773,
|
446 |
+
"step": 120
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.18328638497652583,
|
450 |
+
"grad_norm": 0.3942573666572571,
|
451 |
+
"learning_rate": 0.00029865315850762864,
|
452 |
+
"loss": 2.1983,
|
453 |
+
"step": 122
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.18629107981220658,
|
457 |
+
"grad_norm": 0.3947548568248749,
|
458 |
+
"learning_rate": 0.00029855170877528096,
|
459 |
+
"loss": 2.2913,
|
460 |
+
"step": 124
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 0.18929577464788733,
|
464 |
+
"grad_norm": 0.363520085811615,
|
465 |
+
"learning_rate": 0.00029844659419934056,
|
466 |
+
"loss": 2.2741,
|
467 |
+
"step": 126
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 0.19230046948356808,
|
471 |
+
"grad_norm": 0.36190399527549744,
|
472 |
+
"learning_rate": 0.0002983378173730359,
|
473 |
+
"loss": 2.3704,
|
474 |
+
"step": 128
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.19530516431924883,
|
478 |
+
"grad_norm": 0.416559636592865,
|
479 |
+
"learning_rate": 0.0002982253809799444,
|
480 |
+
"loss": 2.2279,
|
481 |
+
"step": 130
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 0.19830985915492957,
|
485 |
+
"grad_norm": 0.402997761964798,
|
486 |
+
"learning_rate": 0.0002981092877939272,
|
487 |
+
"loss": 2.2443,
|
488 |
+
"step": 132
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.20131455399061032,
|
492 |
+
"grad_norm": 0.3548254668712616,
|
493 |
+
"learning_rate": 0.0002979895406790603,
|
494 |
+
"loss": 2.221,
|
495 |
+
"step": 134
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.20431924882629107,
|
499 |
+
"grad_norm": 0.3473295569419861,
|
500 |
+
"learning_rate": 0.0002978661425895637,
|
501 |
+
"loss": 2.1603,
|
502 |
+
"step": 136
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 0.20732394366197182,
|
506 |
+
"grad_norm": 0.39127662777900696,
|
507 |
+
"learning_rate": 0.0002977390965697288,
|
508 |
+
"loss": 2.2464,
|
509 |
+
"step": 138
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.21032863849765257,
|
513 |
+
"grad_norm": 0.39523211121559143,
|
514 |
+
"learning_rate": 0.0002976084057538435,
|
515 |
+
"loss": 2.1841,
|
516 |
+
"step": 140
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 0.21333333333333335,
|
520 |
+
"grad_norm": 0.34574830532073975,
|
521 |
+
"learning_rate": 0.0002974740733661142,
|
522 |
+
"loss": 2.2044,
|
523 |
+
"step": 142
|
524 |
+
},
|
525 |
+
{
|
526 |
+
"epoch": 0.2163380281690141,
|
527 |
+
"grad_norm": 0.37754490971565247,
|
528 |
+
"learning_rate": 0.00029733610272058685,
|
529 |
+
"loss": 2.2254,
|
530 |
+
"step": 144
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.21934272300469485,
|
534 |
+
"grad_norm": 0.3925940990447998,
|
535 |
+
"learning_rate": 0.00029719449722106524,
|
536 |
+
"loss": 2.1979,
|
537 |
+
"step": 146
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.2223474178403756,
|
541 |
+
"grad_norm": 0.39449626207351685,
|
542 |
+
"learning_rate": 0.0002970492603610264,
|
543 |
+
"loss": 2.2307,
|
544 |
+
"step": 148
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 0.22535211267605634,
|
548 |
+
"grad_norm": 0.37469711899757385,
|
549 |
+
"learning_rate": 0.00029690039572353495,
|
550 |
+
"loss": 2.1796,
|
551 |
+
"step": 150
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.22535211267605634,
|
555 |
+
"eval_loss": 2.181159019470215,
|
556 |
+
"eval_runtime": 2.2259,
|
557 |
+
"eval_samples_per_second": 15.275,
|
558 |
+
"eval_steps_per_second": 1.348,
|
559 |
+
"step": 150
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 0.2283568075117371,
|
563 |
+
"grad_norm": 0.3608339726924896,
|
564 |
+
"learning_rate": 0.0002967479069811546,
|
565 |
+
"loss": 2.2276,
|
566 |
+
"step": 152
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.23136150234741784,
|
570 |
+
"grad_norm": 0.3705087900161743,
|
571 |
+
"learning_rate": 0.0002965917978958576,
|
572 |
+
"loss": 2.2385,
|
573 |
+
"step": 154
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.2343661971830986,
|
577 |
+
"grad_norm": 0.3505542576313019,
|
578 |
+
"learning_rate": 0.00029643207231893167,
|
579 |
+
"loss": 2.2167,
|
580 |
+
"step": 156
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 0.23737089201877934,
|
584 |
+
"grad_norm": 0.3650299906730652,
|
585 |
+
"learning_rate": 0.0002962687341908852,
|
586 |
+
"loss": 2.2137,
|
587 |
+
"step": 158
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.2403755868544601,
|
591 |
+
"grad_norm": 0.3850683569908142,
|
592 |
+
"learning_rate": 0.00029610178754135,
|
593 |
+
"loss": 2.2037,
|
594 |
+
"step": 160
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.24338028169014084,
|
598 |
+
"grad_norm": 0.3920019865036011,
|
599 |
+
"learning_rate": 0.0002959312364889819,
|
600 |
+
"loss": 2.2262,
|
601 |
+
"step": 162
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.2463849765258216,
|
605 |
+
"grad_norm": 0.35709312558174133,
|
606 |
+
"learning_rate": 0.0002957570852413591,
|
607 |
+
"loss": 2.1964,
|
608 |
+
"step": 164
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.24938967136150234,
|
612 |
+
"grad_norm": 0.3626340925693512,
|
613 |
+
"learning_rate": 0.0002955793380948784,
|
614 |
+
"loss": 2.1835,
|
615 |
+
"step": 166
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.2523943661971831,
|
619 |
+
"grad_norm": 0.3944832682609558,
|
620 |
+
"learning_rate": 0.0002953979994346492,
|
621 |
+
"loss": 2.2062,
|
622 |
+
"step": 168
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 0.25539906103286386,
|
626 |
+
"grad_norm": 0.3656717538833618,
|
627 |
+
"learning_rate": 0.0002952130737343852,
|
628 |
+
"loss": 2.1978,
|
629 |
+
"step": 170
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.2584037558685446,
|
633 |
+
"grad_norm": 0.37548840045928955,
|
634 |
+
"learning_rate": 0.0002950245655562943,
|
635 |
+
"loss": 2.2321,
|
636 |
+
"step": 172
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 0.26140845070422536,
|
640 |
+
"grad_norm": 0.3501577079296112,
|
641 |
+
"learning_rate": 0.00029483247955096575,
|
642 |
+
"loss": 2.2395,
|
643 |
+
"step": 174
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 0.2644131455399061,
|
647 |
+
"grad_norm": 0.3411433696746826,
|
648 |
+
"learning_rate": 0.0002946368204572556,
|
649 |
+
"loss": 2.1102,
|
650 |
+
"step": 176
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.26741784037558686,
|
654 |
+
"grad_norm": 0.3664512634277344,
|
655 |
+
"learning_rate": 0.0002944375931021699,
|
656 |
+
"loss": 2.194,
|
657 |
+
"step": 178
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.2704225352112676,
|
661 |
+
"grad_norm": 0.3627581298351288,
|
662 |
+
"learning_rate": 0.0002942348024007451,
|
663 |
+
"loss": 2.2813,
|
664 |
+
"step": 180
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 0.27342723004694836,
|
668 |
+
"grad_norm": 0.37071582674980164,
|
669 |
+
"learning_rate": 0.00029402845335592756,
|
670 |
+
"loss": 2.2711,
|
671 |
+
"step": 182
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 0.27643192488262913,
|
675 |
+
"grad_norm": 0.381433367729187,
|
676 |
+
"learning_rate": 0.00029381855105844947,
|
677 |
+
"loss": 2.2212,
|
678 |
+
"step": 184
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.27943661971830985,
|
682 |
+
"grad_norm": 0.3830112814903259,
|
683 |
+
"learning_rate": 0.0002936051006867035,
|
684 |
+
"loss": 2.2213,
|
685 |
+
"step": 186
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 0.28244131455399063,
|
689 |
+
"grad_norm": 0.39527764916419983,
|
690 |
+
"learning_rate": 0.0002933881075066152,
|
691 |
+
"loss": 2.2368,
|
692 |
+
"step": 188
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.28544600938967135,
|
696 |
+
"grad_norm": 0.4096282422542572,
|
697 |
+
"learning_rate": 0.00029316757687151285,
|
698 |
+
"loss": 2.2056,
|
699 |
+
"step": 190
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.28845070422535213,
|
703 |
+
"grad_norm": 0.3712705373764038,
|
704 |
+
"learning_rate": 0.0002929435142219955,
|
705 |
+
"loss": 2.198,
|
706 |
+
"step": 192
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 0.29145539906103285,
|
710 |
+
"grad_norm": 0.3953078091144562,
|
711 |
+
"learning_rate": 0.0002927159250857987,
|
712 |
+
"loss": 2.3001,
|
713 |
+
"step": 194
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.2944600938967136,
|
717 |
+
"grad_norm": 0.37445083260536194,
|
718 |
+
"learning_rate": 0.00029248481507765817,
|
719 |
+
"loss": 2.1669,
|
720 |
+
"step": 196
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 0.29746478873239435,
|
724 |
+
"grad_norm": 0.3499473035335541,
|
725 |
+
"learning_rate": 0.00029225018989917134,
|
726 |
+
"loss": 2.2206,
|
727 |
+
"step": 198
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 0.3004694835680751,
|
731 |
+
"grad_norm": 0.39210423827171326,
|
732 |
+
"learning_rate": 0.00029201205533865653,
|
733 |
+
"loss": 2.2343,
|
734 |
+
"step": 200
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.3004694835680751,
|
738 |
+
"eval_loss": 2.141900062561035,
|
739 |
+
"eval_runtime": 2.2356,
|
740 |
+
"eval_samples_per_second": 15.208,
|
741 |
+
"eval_steps_per_second": 1.342,
|
742 |
+
"step": 200
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 0.30347417840375585,
|
746 |
+
"grad_norm": 0.39515823125839233,
|
747 |
+
"learning_rate": 0.0002917704172710103,
|
748 |
+
"loss": 2.2075,
|
749 |
+
"step": 202
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 0.3064788732394366,
|
753 |
+
"grad_norm": 0.3761007785797119,
|
754 |
+
"learning_rate": 0.00029152528165756234,
|
755 |
+
"loss": 2.1649,
|
756 |
+
"step": 204
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 0.30948356807511734,
|
760 |
+
"grad_norm": 0.36122599244117737,
|
761 |
+
"learning_rate": 0.0002912766545459287,
|
762 |
+
"loss": 2.1931,
|
763 |
+
"step": 206
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"epoch": 0.3124882629107981,
|
767 |
+
"grad_norm": 0.35382214188575745,
|
768 |
+
"learning_rate": 0.00029102454206986217,
|
769 |
+
"loss": 2.2054,
|
770 |
+
"step": 208
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.3154929577464789,
|
774 |
+
"grad_norm": 0.39906132221221924,
|
775 |
+
"learning_rate": 0.0002907689504491015,
|
776 |
+
"loss": 2.0899,
|
777 |
+
"step": 210
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.3184976525821596,
|
781 |
+
"grad_norm": 0.38114792108535767,
|
782 |
+
"learning_rate": 0.00029050988598921726,
|
783 |
+
"loss": 2.219,
|
784 |
+
"step": 212
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 0.3215023474178404,
|
788 |
+
"grad_norm": 0.3845846951007843,
|
789 |
+
"learning_rate": 0.00029024735508145696,
|
790 |
+
"loss": 2.2918,
|
791 |
+
"step": 214
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 0.3245070422535211,
|
795 |
+
"grad_norm": 0.3749115765094757,
|
796 |
+
"learning_rate": 0.00028998136420258706,
|
797 |
+
"loss": 2.1253,
|
798 |
+
"step": 216
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 0.3275117370892019,
|
802 |
+
"grad_norm": 0.3539542853832245,
|
803 |
+
"learning_rate": 0.00028971191991473304,
|
804 |
+
"loss": 2.2459,
|
805 |
+
"step": 218
|
806 |
+
},
|
807 |
+
{
|
808 |
+
"epoch": 0.3305164319248826,
|
809 |
+
"grad_norm": 0.3546983599662781,
|
810 |
+
"learning_rate": 0.0002894390288652179,
|
811 |
+
"loss": 2.0911,
|
812 |
+
"step": 220
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 0.3335211267605634,
|
816 |
+
"grad_norm": 0.40299192070961,
|
817 |
+
"learning_rate": 0.00028916269778639765,
|
818 |
+
"loss": 2.1947,
|
819 |
+
"step": 222
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.3365258215962441,
|
823 |
+
"grad_norm": 0.3689326345920563,
|
824 |
+
"learning_rate": 0.00028888293349549576,
|
825 |
+
"loss": 2.1966,
|
826 |
+
"step": 224
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 0.3395305164319249,
|
830 |
+
"grad_norm": 0.3649276793003082,
|
831 |
+
"learning_rate": 0.0002885997428944347,
|
832 |
+
"loss": 2.2392,
|
833 |
+
"step": 226
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 0.3425352112676056,
|
837 |
+
"grad_norm": 0.38962477445602417,
|
838 |
+
"learning_rate": 0.0002883131329696656,
|
839 |
+
"loss": 2.1984,
|
840 |
+
"step": 228
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 0.3455399061032864,
|
844 |
+
"grad_norm": 0.37435683608055115,
|
845 |
+
"learning_rate": 0.000288023110791996,
|
846 |
+
"loss": 2.1761,
|
847 |
+
"step": 230
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 0.3485446009389671,
|
851 |
+
"grad_norm": 0.3510904610157013,
|
852 |
+
"learning_rate": 0.0002877296835164155,
|
853 |
+
"loss": 2.1674,
|
854 |
+
"step": 232
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 0.3515492957746479,
|
858 |
+
"grad_norm": 0.36861664056777954,
|
859 |
+
"learning_rate": 0.00028743285838191894,
|
860 |
+
"loss": 2.2275,
|
861 |
+
"step": 234
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 0.35455399061032866,
|
865 |
+
"grad_norm": 0.3731881380081177,
|
866 |
+
"learning_rate": 0.00028713264271132817,
|
867 |
+
"loss": 2.1107,
|
868 |
+
"step": 236
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 0.3575586854460094,
|
872 |
+
"grad_norm": 0.3827975392341614,
|
873 |
+
"learning_rate": 0.00028682904391111124,
|
874 |
+
"loss": 2.1624,
|
875 |
+
"step": 238
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 0.36056338028169016,
|
879 |
+
"grad_norm": 0.35969778895378113,
|
880 |
+
"learning_rate": 0.0002865220694711996,
|
881 |
+
"loss": 2.1862,
|
882 |
+
"step": 240
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 0.3635680751173709,
|
886 |
+
"grad_norm": 0.3840770721435547,
|
887 |
+
"learning_rate": 0.0002862117269648033,
|
888 |
+
"loss": 2.1971,
|
889 |
+
"step": 242
|
890 |
+
},
|
891 |
+
{
|
892 |
+
"epoch": 0.36657276995305166,
|
893 |
+
"grad_norm": 0.3853059709072113,
|
894 |
+
"learning_rate": 0.00028589802404822455,
|
895 |
+
"loss": 2.1691,
|
896 |
+
"step": 244
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 0.3695774647887324,
|
900 |
+
"grad_norm": 0.3811451196670532,
|
901 |
+
"learning_rate": 0.00028558096846066807,
|
902 |
+
"loss": 2.1574,
|
903 |
+
"step": 246
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 0.37258215962441316,
|
907 |
+
"grad_norm": 0.3676210939884186,
|
908 |
+
"learning_rate": 0.00028526056802405104,
|
909 |
+
"loss": 2.2257,
|
910 |
+
"step": 248
|
911 |
+
},
|
912 |
+
{
|
913 |
+
"epoch": 0.3755868544600939,
|
914 |
+
"grad_norm": 0.3635883033275604,
|
915 |
+
"learning_rate": 0.0002849368306428096,
|
916 |
+
"loss": 2.2546,
|
917 |
+
"step": 250
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 0.3755868544600939,
|
921 |
+
"eval_loss": 2.0982940196990967,
|
922 |
+
"eval_runtime": 2.2318,
|
923 |
+
"eval_samples_per_second": 15.234,
|
924 |
+
"eval_steps_per_second": 1.344,
|
925 |
+
"step": 250
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 0.37859154929577465,
|
929 |
+
"grad_norm": 0.36666548252105713,
|
930 |
+
"learning_rate": 0.0002846097643037037,
|
931 |
+
"loss": 2.2235,
|
932 |
+
"step": 252
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 0.3815962441314554,
|
936 |
+
"grad_norm": 0.37013521790504456,
|
937 |
+
"learning_rate": 0.0002842793770756207,
|
938 |
+
"loss": 2.2266,
|
939 |
+
"step": 254
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.38460093896713615,
|
943 |
+
"grad_norm": 0.3608769178390503,
|
944 |
+
"learning_rate": 0.00028394567710937564,
|
945 |
+
"loss": 2.162,
|
946 |
+
"step": 256
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 0.38760563380281693,
|
950 |
+
"grad_norm": 0.37627193331718445,
|
951 |
+
"learning_rate": 0.00028360867263751055,
|
952 |
+
"loss": 2.1686,
|
953 |
+
"step": 258
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.39061032863849765,
|
957 |
+
"grad_norm": 0.38580891489982605,
|
958 |
+
"learning_rate": 0.00028326837197409116,
|
959 |
+
"loss": 2.1346,
|
960 |
+
"step": 260
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 0.3936150234741784,
|
964 |
+
"grad_norm": 0.3952076733112335,
|
965 |
+
"learning_rate": 0.000282924783514502,
|
966 |
+
"loss": 2.1393,
|
967 |
+
"step": 262
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 0.39661971830985915,
|
971 |
+
"grad_norm": 0.3873717188835144,
|
972 |
+
"learning_rate": 0.00028257791573523905,
|
973 |
+
"loss": 2.1883,
|
974 |
+
"step": 264
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.3996244131455399,
|
978 |
+
"grad_norm": 0.390897661447525,
|
979 |
+
"learning_rate": 0.0002822277771937007,
|
980 |
+
"loss": 2.1987,
|
981 |
+
"step": 266
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.40262910798122065,
|
985 |
+
"grad_norm": 0.4009636342525482,
|
986 |
+
"learning_rate": 0.0002818743765279767,
|
987 |
+
"loss": 2.1993,
|
988 |
+
"step": 268
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 0.4056338028169014,
|
992 |
+
"grad_norm": 0.3799436092376709,
|
993 |
+
"learning_rate": 0.00028151772245663505,
|
994 |
+
"loss": 2.2225,
|
995 |
+
"step": 270
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 0.40863849765258214,
|
999 |
+
"grad_norm": 0.3564237058162689,
|
1000 |
+
"learning_rate": 0.0002811578237785067,
|
1001 |
+
"loss": 2.1673,
|
1002 |
+
"step": 272
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 0.4116431924882629,
|
1006 |
+
"grad_norm": 0.37377825379371643,
|
1007 |
+
"learning_rate": 0.0002807946893724688,
|
1008 |
+
"loss": 2.1529,
|
1009 |
+
"step": 274
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 0.41464788732394364,
|
1013 |
+
"grad_norm": 0.3791629374027252,
|
1014 |
+
"learning_rate": 0.00028042832819722536,
|
1015 |
+
"loss": 2.1718,
|
1016 |
+
"step": 276
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.4176525821596244,
|
1020 |
+
"grad_norm": 0.35380980372428894,
|
1021 |
+
"learning_rate": 0.0002800587492910866,
|
1022 |
+
"loss": 2.142,
|
1023 |
+
"step": 278
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.42065727699530514,
|
1027 |
+
"grad_norm": 0.3733883202075958,
|
1028 |
+
"learning_rate": 0.0002796859617717455,
|
1029 |
+
"loss": 2.1176,
|
1030 |
+
"step": 280
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 0.4236619718309859,
|
1034 |
+
"grad_norm": 0.37677061557769775,
|
1035 |
+
"learning_rate": 0.0002793099748360533,
|
1036 |
+
"loss": 2.2441,
|
1037 |
+
"step": 282
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 0.4266666666666667,
|
1041 |
+
"grad_norm": 0.37634608149528503,
|
1042 |
+
"learning_rate": 0.0002789307977597921,
|
1043 |
+
"loss": 2.2257,
|
1044 |
+
"step": 284
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 0.4296713615023474,
|
1048 |
+
"grad_norm": 0.3666776120662689,
|
1049 |
+
"learning_rate": 0.0002785484398974467,
|
1050 |
+
"loss": 2.1931,
|
1051 |
+
"step": 286
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.4326760563380282,
|
1055 |
+
"grad_norm": 0.3721160292625427,
|
1056 |
+
"learning_rate": 0.0002781629106819733,
|
1057 |
+
"loss": 2.1501,
|
1058 |
+
"step": 288
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.4356807511737089,
|
1062 |
+
"grad_norm": 0.3687131702899933,
|
1063 |
+
"learning_rate": 0.00027777421962456685,
|
1064 |
+
"loss": 2.2567,
|
1065 |
+
"step": 290
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.4386854460093897,
|
1069 |
+
"grad_norm": 0.39323750138282776,
|
1070 |
+
"learning_rate": 0.0002773823763144266,
|
1071 |
+
"loss": 2.1721,
|
1072 |
+
"step": 292
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 0.4416901408450704,
|
1076 |
+
"grad_norm": 0.380220502614975,
|
1077 |
+
"learning_rate": 0.0002769873904185195,
|
1078 |
+
"loss": 2.1194,
|
1079 |
+
"step": 294
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.4446948356807512,
|
1083 |
+
"grad_norm": 0.3765008747577667,
|
1084 |
+
"learning_rate": 0.0002765892716813414,
|
1085 |
+
"loss": 2.1753,
|
1086 |
+
"step": 296
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 0.4476995305164319,
|
1090 |
+
"grad_norm": 0.3636697828769684,
|
1091 |
+
"learning_rate": 0.0002761880299246772,
|
1092 |
+
"loss": 2.115,
|
1093 |
+
"step": 298
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 0.4507042253521127,
|
1097 |
+
"grad_norm": 0.37536996603012085,
|
1098 |
+
"learning_rate": 0.0002757836750473578,
|
1099 |
+
"loss": 2.1901,
|
1100 |
+
"step": 300
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 0.4507042253521127,
|
1104 |
+
"eval_loss": 2.075345754623413,
|
1105 |
+
"eval_runtime": 2.2318,
|
1106 |
+
"eval_samples_per_second": 15.234,
|
1107 |
+
"eval_steps_per_second": 1.344,
|
1108 |
+
"step": 300
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.4537089201877934,
|
1112 |
+
"grad_norm": 0.38492923974990845,
|
1113 |
+
"learning_rate": 0.00027537621702501675,
|
1114 |
+
"loss": 2.0889,
|
1115 |
+
"step": 302
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.4567136150234742,
|
1119 |
+
"grad_norm": 0.3728578984737396,
|
1120 |
+
"learning_rate": 0.0002749656659098434,
|
1121 |
+
"loss": 2.1575,
|
1122 |
+
"step": 304
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.4597183098591549,
|
1126 |
+
"grad_norm": 0.37799346446990967,
|
1127 |
+
"learning_rate": 0.0002745520318303354,
|
1128 |
+
"loss": 2.1455,
|
1129 |
+
"step": 306
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.4627230046948357,
|
1133 |
+
"grad_norm": 0.36139002442359924,
|
1134 |
+
"learning_rate": 0.0002741353249910486,
|
1135 |
+
"loss": 2.2059,
|
1136 |
+
"step": 308
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.46572769953051646,
|
1140 |
+
"grad_norm": 0.35566097497940063,
|
1141 |
+
"learning_rate": 0.0002737155556723452,
|
1142 |
+
"loss": 2.1419,
|
1143 |
+
"step": 310
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.4687323943661972,
|
1147 |
+
"grad_norm": 0.37092921137809753,
|
1148 |
+
"learning_rate": 0.0002732927342301406,
|
1149 |
+
"loss": 2.1868,
|
1150 |
+
"step": 312
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.47173708920187796,
|
1154 |
+
"grad_norm": 0.3878864347934723,
|
1155 |
+
"learning_rate": 0.00027286687109564725,
|
1156 |
+
"loss": 2.1406,
|
1157 |
+
"step": 314
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.4747417840375587,
|
1161 |
+
"grad_norm": 0.38121914863586426,
|
1162 |
+
"learning_rate": 0.0002724379767751177,
|
1163 |
+
"loss": 2.1543,
|
1164 |
+
"step": 316
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.47774647887323946,
|
1168 |
+
"grad_norm": 0.3697877824306488,
|
1169 |
+
"learning_rate": 0.0002720060618495856,
|
1170 |
+
"loss": 2.1297,
|
1171 |
+
"step": 318
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.4807511737089202,
|
1175 |
+
"grad_norm": 0.3632924556732178,
|
1176 |
+
"learning_rate": 0.0002715711369746041,
|
1177 |
+
"loss": 2.186,
|
1178 |
+
"step": 320
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.48375586854460095,
|
1182 |
+
"grad_norm": 0.37912604212760925,
|
1183 |
+
"learning_rate": 0.0002711332128799834,
|
1184 |
+
"loss": 2.1316,
|
1185 |
+
"step": 322
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.4867605633802817,
|
1189 |
+
"grad_norm": 0.3651125729084015,
|
1190 |
+
"learning_rate": 0.0002706923003695261,
|
1191 |
+
"loss": 2.1664,
|
1192 |
+
"step": 324
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.48976525821596245,
|
1196 |
+
"grad_norm": 0.37822335958480835,
|
1197 |
+
"learning_rate": 0.00027024841032076007,
|
1198 |
+
"loss": 2.1566,
|
1199 |
+
"step": 326
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.4927699530516432,
|
1203 |
+
"grad_norm": 0.3776490390300751,
|
1204 |
+
"learning_rate": 0.0002698015536846709,
|
1205 |
+
"loss": 2.1953,
|
1206 |
+
"step": 328
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.49577464788732395,
|
1210 |
+
"grad_norm": 0.3854661285877228,
|
1211 |
+
"learning_rate": 0.0002693517414854312,
|
1212 |
+
"loss": 2.2063,
|
1213 |
+
"step": 330
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.49877934272300467,
|
1217 |
+
"grad_norm": 0.368531197309494,
|
1218 |
+
"learning_rate": 0.0002688989848201287,
|
1219 |
+
"loss": 2.0906,
|
1220 |
+
"step": 332
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.5017840375586854,
|
1224 |
+
"grad_norm": 0.38510599732398987,
|
1225 |
+
"learning_rate": 0.00026844329485849276,
|
1226 |
+
"loss": 2.1932,
|
1227 |
+
"step": 334
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.5047887323943662,
|
1231 |
+
"grad_norm": 0.3947513997554779,
|
1232 |
+
"learning_rate": 0.00026798468284261836,
|
1233 |
+
"loss": 2.1378,
|
1234 |
+
"step": 336
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.507793427230047,
|
1238 |
+
"grad_norm": 0.3518299162387848,
|
1239 |
+
"learning_rate": 0.00026752316008668916,
|
1240 |
+
"loss": 2.1842,
|
1241 |
+
"step": 338
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.5107981220657277,
|
1245 |
+
"grad_norm": 0.3755107820034027,
|
1246 |
+
"learning_rate": 0.0002670587379766981,
|
1247 |
+
"loss": 2.2129,
|
1248 |
+
"step": 340
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.5138028169014085,
|
1252 |
+
"grad_norm": 0.3730200529098511,
|
1253 |
+
"learning_rate": 0.0002665914279701668,
|
1254 |
+
"loss": 2.2018,
|
1255 |
+
"step": 342
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.5168075117370892,
|
1259 |
+
"grad_norm": 0.380302757024765,
|
1260 |
+
"learning_rate": 0.00026612124159586237,
|
1261 |
+
"loss": 2.1619,
|
1262 |
+
"step": 344
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.5198122065727699,
|
1266 |
+
"grad_norm": 0.38186338543891907,
|
1267 |
+
"learning_rate": 0.0002656481904535136,
|
1268 |
+
"loss": 2.1248,
|
1269 |
+
"step": 346
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.5228169014084507,
|
1273 |
+
"grad_norm": 0.39248546957969666,
|
1274 |
+
"learning_rate": 0.0002651722862135245,
|
1275 |
+
"loss": 2.1109,
|
1276 |
+
"step": 348
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.5258215962441315,
|
1280 |
+
"grad_norm": 0.37442460656166077,
|
1281 |
+
"learning_rate": 0.0002646935406166862,
|
1282 |
+
"loss": 2.1597,
|
1283 |
+
"step": 350
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.5258215962441315,
|
1287 |
+
"eval_loss": 2.0383801460266113,
|
1288 |
+
"eval_runtime": 2.239,
|
1289 |
+
"eval_samples_per_second": 15.186,
|
1290 |
+
"eval_steps_per_second": 1.34,
|
1291 |
+
"step": 350
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 0.5288262910798122,
|
1295 |
+
"grad_norm": 0.3747282922267914,
|
1296 |
+
"learning_rate": 0.0002642119654738878,
|
1297 |
+
"loss": 2.1359,
|
1298 |
+
"step": 352
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 0.5318309859154929,
|
1302 |
+
"grad_norm": 0.3742654025554657,
|
1303 |
+
"learning_rate": 0.0002637275726658244,
|
1304 |
+
"loss": 2.1655,
|
1305 |
+
"step": 354
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.5348356807511737,
|
1309 |
+
"grad_norm": 0.3777499198913574,
|
1310 |
+
"learning_rate": 0.00026324037414270443,
|
1311 |
+
"loss": 2.2144,
|
1312 |
+
"step": 356
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 0.5378403755868545,
|
1316 |
+
"grad_norm": 0.3784273862838745,
|
1317 |
+
"learning_rate": 0.00026275038192395466,
|
1318 |
+
"loss": 2.1617,
|
1319 |
+
"step": 358
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.5408450704225352,
|
1323 |
+
"grad_norm": 0.3833068311214447,
|
1324 |
+
"learning_rate": 0.00026225760809792375,
|
1325 |
+
"loss": 2.19,
|
1326 |
+
"step": 360
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 0.5438497652582159,
|
1330 |
+
"grad_norm": 0.3657234013080597,
|
1331 |
+
"learning_rate": 0.0002617620648215839,
|
1332 |
+
"loss": 2.1348,
|
1333 |
+
"step": 362
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 0.5468544600938967,
|
1337 |
+
"grad_norm": 0.36410313844680786,
|
1338 |
+
"learning_rate": 0.00026126376432023104,
|
1339 |
+
"loss": 2.1447,
|
1340 |
+
"step": 364
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 0.5498591549295775,
|
1344 |
+
"grad_norm": 0.37968766689300537,
|
1345 |
+
"learning_rate": 0.0002607627188871832,
|
1346 |
+
"loss": 2.1502,
|
1347 |
+
"step": 366
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.5528638497652583,
|
1351 |
+
"grad_norm": 0.3841196894645691,
|
1352 |
+
"learning_rate": 0.0002602589408834772,
|
1353 |
+
"loss": 2.1263,
|
1354 |
+
"step": 368
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 0.5558685446009389,
|
1358 |
+
"grad_norm": 0.38847631216049194,
|
1359 |
+
"learning_rate": 0.00025975244273756376,
|
1360 |
+
"loss": 2.1662,
|
1361 |
+
"step": 370
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.5588732394366197,
|
1365 |
+
"grad_norm": 0.3703446686267853,
|
1366 |
+
"learning_rate": 0.00025924323694500093,
|
1367 |
+
"loss": 2.1735,
|
1368 |
+
"step": 372
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 0.5618779342723005,
|
1372 |
+
"grad_norm": 0.3932661712169647,
|
1373 |
+
"learning_rate": 0.0002587313360681454,
|
1374 |
+
"loss": 2.2347,
|
1375 |
+
"step": 374
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 0.5648826291079813,
|
1379 |
+
"grad_norm": 0.3762649893760681,
|
1380 |
+
"learning_rate": 0.00025821675273584335,
|
1381 |
+
"loss": 2.0728,
|
1382 |
+
"step": 376
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 0.5678873239436619,
|
1386 |
+
"grad_norm": 0.3761097490787506,
|
1387 |
+
"learning_rate": 0.0002576994996431181,
|
1388 |
+
"loss": 2.0566,
|
1389 |
+
"step": 378
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.5708920187793427,
|
1393 |
+
"grad_norm": 0.3672586679458618,
|
1394 |
+
"learning_rate": 0.0002571795895508575,
|
1395 |
+
"loss": 2.139,
|
1396 |
+
"step": 380
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 0.5738967136150235,
|
1400 |
+
"grad_norm": 0.4048523008823395,
|
1401 |
+
"learning_rate": 0.0002566570352854988,
|
1402 |
+
"loss": 2.0188,
|
1403 |
+
"step": 382
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.5769014084507043,
|
1407 |
+
"grad_norm": 0.3703201711177826,
|
1408 |
+
"learning_rate": 0.0002561318497387122,
|
1409 |
+
"loss": 2.1636,
|
1410 |
+
"step": 384
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 0.5799061032863849,
|
1414 |
+
"grad_norm": 0.3803885579109192,
|
1415 |
+
"learning_rate": 0.0002556040458670831,
|
1416 |
+
"loss": 2.1196,
|
1417 |
+
"step": 386
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.5829107981220657,
|
1421 |
+
"grad_norm": 0.37113627791404724,
|
1422 |
+
"learning_rate": 0.0002550736366917921,
|
1423 |
+
"loss": 2.0984,
|
1424 |
+
"step": 388
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 0.5859154929577465,
|
1428 |
+
"grad_norm": 0.39332741498947144,
|
1429 |
+
"learning_rate": 0.00025454063529829405,
|
1430 |
+
"loss": 2.1744,
|
1431 |
+
"step": 390
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.5889201877934273,
|
1435 |
+
"grad_norm": 0.36778101325035095,
|
1436 |
+
"learning_rate": 0.00025400505483599487,
|
1437 |
+
"loss": 2.2,
|
1438 |
+
"step": 392
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 0.591924882629108,
|
1442 |
+
"grad_norm": 0.37352946400642395,
|
1443 |
+
"learning_rate": 0.0002534669085179277,
|
1444 |
+
"loss": 2.0796,
|
1445 |
+
"step": 394
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 0.5949295774647887,
|
1449 |
+
"grad_norm": 0.3829871118068695,
|
1450 |
+
"learning_rate": 0.0002529262096204264,
|
1451 |
+
"loss": 2.1883,
|
1452 |
+
"step": 396
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 0.5979342723004695,
|
1456 |
+
"grad_norm": 0.37720027565956116,
|
1457 |
+
"learning_rate": 0.0002523829714827981,
|
1458 |
+
"loss": 2.1122,
|
1459 |
+
"step": 398
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 0.6009389671361502,
|
1463 |
+
"grad_norm": 0.38344496488571167,
|
1464 |
+
"learning_rate": 0.00025183720750699453,
|
1465 |
+
"loss": 2.1739,
|
1466 |
+
"step": 400
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 0.6009389671361502,
|
1470 |
+
"eval_loss": 2.0227649211883545,
|
1471 |
+
"eval_runtime": 2.2306,
|
1472 |
+
"eval_samples_per_second": 15.242,
|
1473 |
+
"eval_steps_per_second": 1.345,
|
1474 |
+
"step": 400
|
1475 |
+
},
|
1476 |
+
{
|
1477 |
+
"epoch": 0.603943661971831,
|
1478 |
+
"grad_norm": 0.3744402229785919,
|
1479 |
+
"learning_rate": 0.00025128893115728096,
|
1480 |
+
"loss": 2.082,
|
1481 |
+
"step": 402
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"epoch": 0.6069483568075117,
|
1485 |
+
"grad_norm": 0.3665165305137634,
|
1486 |
+
"learning_rate": 0.000250738155959904,
|
1487 |
+
"loss": 2.125,
|
1488 |
+
"step": 404
|
1489 |
+
},
|
1490 |
+
{
|
1491 |
+
"epoch": 0.6099530516431925,
|
1492 |
+
"grad_norm": 0.38589879870414734,
|
1493 |
+
"learning_rate": 0.00025018489550275824,
|
1494 |
+
"loss": 2.1454,
|
1495 |
+
"step": 406
|
1496 |
+
},
|
1497 |
+
{
|
1498 |
+
"epoch": 0.6129577464788732,
|
1499 |
+
"grad_norm": 0.37511923909187317,
|
1500 |
+
"learning_rate": 0.0002496291634350509,
|
1501 |
+
"loss": 2.1677,
|
1502 |
+
"step": 408
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 0.615962441314554,
|
1506 |
+
"grad_norm": 0.39144960045814514,
|
1507 |
+
"learning_rate": 0.0002490709734669648,
|
1508 |
+
"loss": 2.1845,
|
1509 |
+
"step": 410
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 0.6189671361502347,
|
1513 |
+
"grad_norm": 0.3829379081726074,
|
1514 |
+
"learning_rate": 0.0002485103393693207,
|
1515 |
+
"loss": 2.1483,
|
1516 |
+
"step": 412
|
1517 |
+
},
|
1518 |
+
{
|
1519 |
+
"epoch": 0.6219718309859155,
|
1520 |
+
"grad_norm": 0.37375521659851074,
|
1521 |
+
"learning_rate": 0.0002479472749732369,
|
1522 |
+
"loss": 2.1219,
|
1523 |
+
"step": 414
|
1524 |
+
},
|
1525 |
+
{
|
1526 |
+
"epoch": 0.6249765258215962,
|
1527 |
+
"grad_norm": 0.3679542541503906,
|
1528 |
+
"learning_rate": 0.00024738179416978844,
|
1529 |
+
"loss": 2.1488,
|
1530 |
+
"step": 416
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 0.627981220657277,
|
1534 |
+
"grad_norm": 0.3810802698135376,
|
1535 |
+
"learning_rate": 0.0002468139109096646,
|
1536 |
+
"loss": 2.1408,
|
1537 |
+
"step": 418
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 0.6309859154929578,
|
1541 |
+
"grad_norm": 0.3585708737373352,
|
1542 |
+
"learning_rate": 0.00024624363920282413,
|
1543 |
+
"loss": 2.0933,
|
1544 |
+
"step": 420
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 0.6339906103286385,
|
1548 |
+
"grad_norm": 0.39489805698394775,
|
1549 |
+
"learning_rate": 0.00024567099311815,
|
1550 |
+
"loss": 2.1737,
|
1551 |
+
"step": 422
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 0.6369953051643192,
|
1555 |
+
"grad_norm": 0.35941746830940247,
|
1556 |
+
"learning_rate": 0.0002450959867831024,
|
1557 |
+
"loss": 2.1852,
|
1558 |
+
"step": 424
|
1559 |
+
},
|
1560 |
+
{
|
1561 |
+
"epoch": 0.64,
|
1562 |
+
"grad_norm": 0.36616775393486023,
|
1563 |
+
"learning_rate": 0.0002445186343833698,
|
1564 |
+
"loss": 2.0507,
|
1565 |
+
"step": 426
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 0.6430046948356808,
|
1569 |
+
"grad_norm": 0.3893657624721527,
|
1570 |
+
"learning_rate": 0.0002439389501625194,
|
1571 |
+
"loss": 2.1827,
|
1572 |
+
"step": 428
|
1573 |
+
},
|
1574 |
+
{
|
1575 |
+
"epoch": 0.6460093896713615,
|
1576 |
+
"grad_norm": 0.3760404586791992,
|
1577 |
+
"learning_rate": 0.00024335694842164563,
|
1578 |
+
"loss": 2.1185,
|
1579 |
+
"step": 430
|
1580 |
+
},
|
1581 |
+
{
|
1582 |
+
"epoch": 0.6490140845070422,
|
1583 |
+
"grad_norm": 0.36795878410339355,
|
1584 |
+
"learning_rate": 0.00024277264351901709,
|
1585 |
+
"loss": 2.1081,
|
1586 |
+
"step": 432
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 0.652018779342723,
|
1590 |
+
"grad_norm": 0.3836841285228729,
|
1591 |
+
"learning_rate": 0.00024218604986972267,
|
1592 |
+
"loss": 2.1178,
|
1593 |
+
"step": 434
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 0.6550234741784038,
|
1597 |
+
"grad_norm": 0.36871835589408875,
|
1598 |
+
"learning_rate": 0.00024159718194531572,
|
1599 |
+
"loss": 2.1546,
|
1600 |
+
"step": 436
|
1601 |
+
},
|
1602 |
+
{
|
1603 |
+
"epoch": 0.6580281690140845,
|
1604 |
+
"grad_norm": 0.37259966135025024,
|
1605 |
+
"learning_rate": 0.00024100605427345703,
|
1606 |
+
"loss": 2.0629,
|
1607 |
+
"step": 438
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 0.6610328638497652,
|
1611 |
+
"grad_norm": 0.3785538077354431,
|
1612 |
+
"learning_rate": 0.00024041268143755646,
|
1613 |
+
"loss": 2.0866,
|
1614 |
+
"step": 440
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 0.664037558685446,
|
1618 |
+
"grad_norm": 0.3723413646221161,
|
1619 |
+
"learning_rate": 0.00023981707807641336,
|
1620 |
+
"loss": 2.1177,
|
1621 |
+
"step": 442
|
1622 |
+
},
|
1623 |
+
{
|
1624 |
+
"epoch": 0.6670422535211268,
|
1625 |
+
"grad_norm": 0.3624575436115265,
|
1626 |
+
"learning_rate": 0.00023921925888385496,
|
1627 |
+
"loss": 2.1133,
|
1628 |
+
"step": 444
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 0.6700469483568076,
|
1632 |
+
"grad_norm": 0.3712269067764282,
|
1633 |
+
"learning_rate": 0.00023861923860837427,
|
1634 |
+
"loss": 2.1705,
|
1635 |
+
"step": 446
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 0.6730516431924882,
|
1639 |
+
"grad_norm": 0.37567707896232605,
|
1640 |
+
"learning_rate": 0.00023801703205276613,
|
1641 |
+
"loss": 2.165,
|
1642 |
+
"step": 448
|
1643 |
+
},
|
1644 |
+
{
|
1645 |
+
"epoch": 0.676056338028169,
|
1646 |
+
"grad_norm": 0.36910387873649597,
|
1647 |
+
"learning_rate": 0.00023741265407376192,
|
1648 |
+
"loss": 2.0883,
|
1649 |
+
"step": 450
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 0.676056338028169,
|
1653 |
+
"eval_loss": 2.003222942352295,
|
1654 |
+
"eval_runtime": 2.2291,
|
1655 |
+
"eval_samples_per_second": 15.253,
|
1656 |
+
"eval_steps_per_second": 1.346,
|
1657 |
+
"step": 450
|
1658 |
+
},
|
1659 |
+
{
|
1660 |
+
"epoch": 0.6790610328638498,
|
1661 |
+
"grad_norm": 0.3778355121612549,
|
1662 |
+
"learning_rate": 0.00023680611958166312,
|
1663 |
+
"loss": 2.1206,
|
1664 |
+
"step": 452
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 0.6820657276995306,
|
1668 |
+
"grad_norm": 0.3732253909111023,
|
1669 |
+
"learning_rate": 0.00023619744353997347,
|
1670 |
+
"loss": 2.12,
|
1671 |
+
"step": 454
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 0.6850704225352112,
|
1675 |
+
"grad_norm": 0.3719022572040558,
|
1676 |
+
"learning_rate": 0.00023558664096502978,
|
1677 |
+
"loss": 2.0978,
|
1678 |
+
"step": 456
|
1679 |
+
},
|
1680 |
+
{
|
1681 |
+
"epoch": 0.688075117370892,
|
1682 |
+
"grad_norm": 0.38006502389907837,
|
1683 |
+
"learning_rate": 0.00023497372692563143,
|
1684 |
+
"loss": 2.128,
|
1685 |
+
"step": 458
|
1686 |
+
},
|
1687 |
+
{
|
1688 |
+
"epoch": 0.6910798122065728,
|
1689 |
+
"grad_norm": 0.37536904215812683,
|
1690 |
+
"learning_rate": 0.00023435871654266873,
|
1691 |
+
"loss": 2.1125,
|
1692 |
+
"step": 460
|
1693 |
+
},
|
1694 |
+
{
|
1695 |
+
"epoch": 0.6940845070422536,
|
1696 |
+
"grad_norm": 0.3833812475204468,
|
1697 |
+
"learning_rate": 0.00023374162498874978,
|
1698 |
+
"loss": 2.0893,
|
1699 |
+
"step": 462
|
1700 |
+
},
|
1701 |
+
{
|
1702 |
+
"epoch": 0.6970892018779342,
|
1703 |
+
"grad_norm": 0.3699873387813568,
|
1704 |
+
"learning_rate": 0.00023312246748782622,
|
1705 |
+
"loss": 2.0756,
|
1706 |
+
"step": 464
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 0.700093896713615,
|
1710 |
+
"grad_norm": 0.4059182405471802,
|
1711 |
+
"learning_rate": 0.0002325012593148176,
|
1712 |
+
"loss": 2.1247,
|
1713 |
+
"step": 466
|
1714 |
+
},
|
1715 |
+
{
|
1716 |
+
"epoch": 0.7030985915492958,
|
1717 |
+
"grad_norm": 0.39631035923957825,
|
1718 |
+
"learning_rate": 0.00023187801579523446,
|
1719 |
+
"loss": 2.1437,
|
1720 |
+
"step": 468
|
1721 |
+
},
|
1722 |
+
{
|
1723 |
+
"epoch": 0.7061032863849765,
|
1724 |
+
"grad_norm": 0.38100457191467285,
|
1725 |
+
"learning_rate": 0.00023125275230480056,
|
1726 |
+
"loss": 2.0906,
|
1727 |
+
"step": 470
|
1728 |
+
},
|
1729 |
+
{
|
1730 |
+
"epoch": 0.7091079812206573,
|
1731 |
+
"grad_norm": 0.3866036832332611,
|
1732 |
+
"learning_rate": 0.0002306254842690732,
|
1733 |
+
"loss": 2.1248,
|
1734 |
+
"step": 472
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 0.712112676056338,
|
1738 |
+
"grad_norm": 0.36718884110450745,
|
1739 |
+
"learning_rate": 0.0002299962271630627,
|
1740 |
+
"loss": 2.2143,
|
1741 |
+
"step": 474
|
1742 |
+
},
|
1743 |
+
{
|
1744 |
+
"epoch": 0.7151173708920188,
|
1745 |
+
"grad_norm": 0.3714663088321686,
|
1746 |
+
"learning_rate": 0.00022936499651085088,
|
1747 |
+
"loss": 2.1471,
|
1748 |
+
"step": 476
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 0.7181220657276995,
|
1752 |
+
"grad_norm": 0.3928404748439789,
|
1753 |
+
"learning_rate": 0.0002287318078852079,
|
1754 |
+
"loss": 2.1203,
|
1755 |
+
"step": 478
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 0.7211267605633803,
|
1759 |
+
"grad_norm": 0.38624709844589233,
|
1760 |
+
"learning_rate": 0.00022809667690720803,
|
1761 |
+
"loss": 2.1655,
|
1762 |
+
"step": 480
|
1763 |
+
},
|
1764 |
+
{
|
1765 |
+
"epoch": 0.724131455399061,
|
1766 |
+
"grad_norm": 0.356985479593277,
|
1767 |
+
"learning_rate": 0.00022745961924584428,
|
1768 |
+
"loss": 2.1478,
|
1769 |
+
"step": 482
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 0.7271361502347418,
|
1773 |
+
"grad_norm": 0.3587605059146881,
|
1774 |
+
"learning_rate": 0.00022682065061764198,
|
1775 |
+
"loss": 2.1355,
|
1776 |
+
"step": 484
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 0.7301408450704225,
|
1780 |
+
"grad_norm": 0.38690492510795593,
|
1781 |
+
"learning_rate": 0.00022617978678627092,
|
1782 |
+
"loss": 2.0885,
|
1783 |
+
"step": 486
|
1784 |
+
},
|
1785 |
+
{
|
1786 |
+
"epoch": 0.7331455399061033,
|
1787 |
+
"grad_norm": 0.36528658866882324,
|
1788 |
+
"learning_rate": 0.00022553704356215637,
|
1789 |
+
"loss": 2.0842,
|
1790 |
+
"step": 488
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 0.7361502347417841,
|
1794 |
+
"grad_norm": 0.38041624426841736,
|
1795 |
+
"learning_rate": 0.00022489243680208943,
|
1796 |
+
"loss": 2.097,
|
1797 |
+
"step": 490
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 0.7391549295774648,
|
1801 |
+
"grad_norm": 0.3670444190502167,
|
1802 |
+
"learning_rate": 0.0002242459824088353,
|
1803 |
+
"loss": 2.0909,
|
1804 |
+
"step": 492
|
1805 |
+
},
|
1806 |
+
{
|
1807 |
+
"epoch": 0.7421596244131455,
|
1808 |
+
"grad_norm": 0.39547091722488403,
|
1809 |
+
"learning_rate": 0.00022359769633074122,
|
1810 |
+
"loss": 2.0629,
|
1811 |
+
"step": 494
|
1812 |
+
},
|
1813 |
+
{
|
1814 |
+
"epoch": 0.7451643192488263,
|
1815 |
+
"grad_norm": 0.39055827260017395,
|
1816 |
+
"learning_rate": 0.00022294759456134304,
|
1817 |
+
"loss": 2.14,
|
1818 |
+
"step": 496
|
1819 |
+
},
|
1820 |
+
{
|
1821 |
+
"epoch": 0.7481690140845071,
|
1822 |
+
"grad_norm": 0.38088637590408325,
|
1823 |
+
"learning_rate": 0.00022229569313897066,
|
1824 |
+
"loss": 2.0859,
|
1825 |
+
"step": 498
|
1826 |
+
},
|
1827 |
+
{
|
1828 |
+
"epoch": 0.7511737089201878,
|
1829 |
+
"grad_norm": 0.37030696868896484,
|
1830 |
+
"learning_rate": 0.00022164200814635217,
|
1831 |
+
"loss": 2.1438,
|
1832 |
+
"step": 500
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 0.7511737089201878,
|
1836 |
+
"eval_loss": 1.9595993757247925,
|
1837 |
+
"eval_runtime": 2.2313,
|
1838 |
+
"eval_samples_per_second": 15.238,
|
1839 |
+
"eval_steps_per_second": 1.345,
|
1840 |
+
"step": 500
|
1841 |
+
},
|
1842 |
+
{
|
1843 |
+
"epoch": 0.7541784037558685,
|
1844 |
+
"grad_norm": 0.3989259600639343,
|
1845 |
+
"learning_rate": 0.00022098655571021735,
|
1846 |
+
"loss": 2.1057,
|
1847 |
+
"step": 502
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 0.7571830985915493,
|
1851 |
+
"grad_norm": 0.38542553782463074,
|
1852 |
+
"learning_rate": 0.00022032935200089958,
|
1853 |
+
"loss": 2.1345,
|
1854 |
+
"step": 504
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 0.7601877934272301,
|
1858 |
+
"grad_norm": 0.3918050229549408,
|
1859 |
+
"learning_rate": 0.00021967041323193707,
|
1860 |
+
"loss": 2.1338,
|
1861 |
+
"step": 506
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"epoch": 0.7631924882629108,
|
1865 |
+
"grad_norm": 0.4032893478870392,
|
1866 |
+
"learning_rate": 0.0002190097556596728,
|
1867 |
+
"loss": 2.1003,
|
1868 |
+
"step": 508
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 0.7661971830985915,
|
1872 |
+
"grad_norm": 0.38733917474746704,
|
1873 |
+
"learning_rate": 0.00021834739558285342,
|
1874 |
+
"loss": 2.1842,
|
1875 |
+
"step": 510
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 0.7692018779342723,
|
1879 |
+
"grad_norm": 0.37685641646385193,
|
1880 |
+
"learning_rate": 0.00021768334934222725,
|
1881 |
+
"loss": 2.0871,
|
1882 |
+
"step": 512
|
1883 |
+
},
|
1884 |
+
{
|
1885 |
+
"epoch": 0.7722065727699531,
|
1886 |
+
"grad_norm": 0.3656997084617615,
|
1887 |
+
"learning_rate": 0.00021701763332014103,
|
1888 |
+
"loss": 2.0901,
|
1889 |
+
"step": 514
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 0.7752112676056339,
|
1893 |
+
"grad_norm": 0.38865405321121216,
|
1894 |
+
"learning_rate": 0.00021635026394013602,
|
1895 |
+
"loss": 2.1474,
|
1896 |
+
"step": 516
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 0.7782159624413145,
|
1900 |
+
"grad_norm": 0.3869773745536804,
|
1901 |
+
"learning_rate": 0.00021568125766654236,
|
1902 |
+
"loss": 2.121,
|
1903 |
+
"step": 518
|
1904 |
+
},
|
1905 |
+
{
|
1906 |
+
"epoch": 0.7812206572769953,
|
1907 |
+
"grad_norm": 0.40487486124038696,
|
1908 |
+
"learning_rate": 0.00021501063100407334,
|
1909 |
+
"loss": 2.0802,
|
1910 |
+
"step": 520
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 0.7842253521126761,
|
1914 |
+
"grad_norm": 0.3867839574813843,
|
1915 |
+
"learning_rate": 0.00021433840049741803,
|
1916 |
+
"loss": 2.0966,
|
1917 |
+
"step": 522
|
1918 |
+
},
|
1919 |
+
{
|
1920 |
+
"epoch": 0.7872300469483569,
|
1921 |
+
"grad_norm": 0.3910694420337677,
|
1922 |
+
"learning_rate": 0.000213664582730833,
|
1923 |
+
"loss": 2.1299,
|
1924 |
+
"step": 524
|
1925 |
+
},
|
1926 |
+
{
|
1927 |
+
"epoch": 0.7902347417840375,
|
1928 |
+
"grad_norm": 0.38044509291648865,
|
1929 |
+
"learning_rate": 0.00021298919432773347,
|
1930 |
+
"loss": 2.0688,
|
1931 |
+
"step": 526
|
1932 |
+
},
|
1933 |
+
{
|
1934 |
+
"epoch": 0.7932394366197183,
|
1935 |
+
"grad_norm": 0.4008919596672058,
|
1936 |
+
"learning_rate": 0.00021231225195028297,
|
1937 |
+
"loss": 2.0854,
|
1938 |
+
"step": 528
|
1939 |
+
},
|
1940 |
+
{
|
1941 |
+
"epoch": 0.7962441314553991,
|
1942 |
+
"grad_norm": 0.36683255434036255,
|
1943 |
+
"learning_rate": 0.00021163377229898225,
|
1944 |
+
"loss": 2.0452,
|
1945 |
+
"step": 530
|
1946 |
+
},
|
1947 |
+
{
|
1948 |
+
"epoch": 0.7992488262910799,
|
1949 |
+
"grad_norm": 0.37036463618278503,
|
1950 |
+
"learning_rate": 0.0002109537721122574,
|
1951 |
+
"loss": 2.1759,
|
1952 |
+
"step": 532
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 0.8022535211267605,
|
1956 |
+
"grad_norm": 0.38639795780181885,
|
1957 |
+
"learning_rate": 0.00021027226816604702,
|
1958 |
+
"loss": 2.031,
|
1959 |
+
"step": 534
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 0.8052582159624413,
|
1963 |
+
"grad_norm": 0.3881765305995941,
|
1964 |
+
"learning_rate": 0.000209589277273388,
|
1965 |
+
"loss": 2.0895,
|
1966 |
+
"step": 536
|
1967 |
+
},
|
1968 |
+
{
|
1969 |
+
"epoch": 0.8082629107981221,
|
1970 |
+
"grad_norm": 0.37221747636795044,
|
1971 |
+
"learning_rate": 0.00020890481628400097,
|
1972 |
+
"loss": 2.0817,
|
1973 |
+
"step": 538
|
1974 |
+
},
|
1975 |
+
{
|
1976 |
+
"epoch": 0.8112676056338028,
|
1977 |
+
"grad_norm": 0.3879324495792389,
|
1978 |
+
"learning_rate": 0.00020821890208387467,
|
1979 |
+
"loss": 2.1211,
|
1980 |
+
"step": 540
|
1981 |
+
},
|
1982 |
+
{
|
1983 |
+
"epoch": 0.8142723004694836,
|
1984 |
+
"grad_norm": 0.3787749409675598,
|
1985 |
+
"learning_rate": 0.0002075315515948492,
|
1986 |
+
"loss": 2.0724,
|
1987 |
+
"step": 542
|
1988 |
+
},
|
1989 |
+
{
|
1990 |
+
"epoch": 0.8172769953051643,
|
1991 |
+
"grad_norm": 0.3739571273326874,
|
1992 |
+
"learning_rate": 0.00020684278177419854,
|
1993 |
+
"loss": 2.0624,
|
1994 |
+
"step": 544
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 0.8202816901408451,
|
1998 |
+
"grad_norm": 0.3751803934574127,
|
1999 |
+
"learning_rate": 0.00020615260961421238,
|
2000 |
+
"loss": 2.1127,
|
2001 |
+
"step": 546
|
2002 |
+
},
|
2003 |
+
{
|
2004 |
+
"epoch": 0.8232863849765258,
|
2005 |
+
"grad_norm": 0.38204455375671387,
|
2006 |
+
"learning_rate": 0.00020546105214177678,
|
2007 |
+
"loss": 2.1193,
|
2008 |
+
"step": 548
|
2009 |
+
},
|
2010 |
+
{
|
2011 |
+
"epoch": 0.8262910798122066,
|
2012 |
+
"grad_norm": 0.3972371220588684,
|
2013 |
+
"learning_rate": 0.00020476812641795407,
|
2014 |
+
"loss": 2.1457,
|
2015 |
+
"step": 550
|
2016 |
+
},
|
2017 |
+
{
|
2018 |
+
"epoch": 0.8262910798122066,
|
2019 |
+
"eval_loss": 1.9604527950286865,
|
2020 |
+
"eval_runtime": 2.2284,
|
2021 |
+
"eval_samples_per_second": 15.257,
|
2022 |
+
"eval_steps_per_second": 1.346,
|
2023 |
+
"step": 550
|
2024 |
+
},
|
2025 |
+
{
|
2026 |
+
"epoch": 0.8292957746478873,
|
2027 |
+
"grad_norm": 0.3509877026081085,
|
2028 |
+
"learning_rate": 0.00020407384953756216,
|
2029 |
+
"loss": 1.9992,
|
2030 |
+
"step": 552
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 0.8323004694835681,
|
2034 |
+
"grad_norm": 0.3898080587387085,
|
2035 |
+
"learning_rate": 0.00020337823862875257,
|
2036 |
+
"loss": 2.1867,
|
2037 |
+
"step": 554
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 0.8353051643192488,
|
2041 |
+
"grad_norm": 0.3941861093044281,
|
2042 |
+
"learning_rate": 0.00020268131085258789,
|
2043 |
+
"loss": 2.1109,
|
2044 |
+
"step": 556
|
2045 |
+
},
|
2046 |
+
{
|
2047 |
+
"epoch": 0.8383098591549296,
|
2048 |
+
"grad_norm": 0.3842771351337433,
|
2049 |
+
"learning_rate": 0.00020198308340261859,
|
2050 |
+
"loss": 2.0762,
|
2051 |
+
"step": 558
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 0.8413145539906103,
|
2055 |
+
"grad_norm": 0.36597883701324463,
|
2056 |
+
"learning_rate": 0.00020128357350445868,
|
2057 |
+
"loss": 2.104,
|
2058 |
+
"step": 560
|
2059 |
+
},
|
2060 |
+
{
|
2061 |
+
"epoch": 0.8443192488262911,
|
2062 |
+
"grad_norm": 0.3964192867279053,
|
2063 |
+
"learning_rate": 0.00020058279841536075,
|
2064 |
+
"loss": 2.0424,
|
2065 |
+
"step": 562
|
2066 |
+
},
|
2067 |
+
{
|
2068 |
+
"epoch": 0.8473239436619718,
|
2069 |
+
"grad_norm": 0.38064396381378174,
|
2070 |
+
"learning_rate": 0.00019988077542379033,
|
2071 |
+
"loss": 2.0894,
|
2072 |
+
"step": 564
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 0.8503286384976526,
|
2076 |
+
"grad_norm": 0.3533835709095001,
|
2077 |
+
"learning_rate": 0.00019917752184899938,
|
2078 |
+
"loss": 2.1536,
|
2079 |
+
"step": 566
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 0.8533333333333334,
|
2083 |
+
"grad_norm": 0.3970707654953003,
|
2084 |
+
"learning_rate": 0.00019847305504059888,
|
2085 |
+
"loss": 2.1448,
|
2086 |
+
"step": 568
|
2087 |
+
},
|
2088 |
+
{
|
2089 |
+
"epoch": 0.856338028169014,
|
2090 |
+
"grad_norm": 0.3679479956626892,
|
2091 |
+
"learning_rate": 0.00019776739237813073,
|
2092 |
+
"loss": 2.1038,
|
2093 |
+
"step": 570
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 0.8593427230046948,
|
2097 |
+
"grad_norm": 0.399521142244339,
|
2098 |
+
"learning_rate": 0.00019706055127063942,
|
2099 |
+
"loss": 2.1938,
|
2100 |
+
"step": 572
|
2101 |
+
},
|
2102 |
+
{
|
2103 |
+
"epoch": 0.8623474178403756,
|
2104 |
+
"grad_norm": 0.36628666520118713,
|
2105 |
+
"learning_rate": 0.0001963525491562421,
|
2106 |
+
"loss": 2.0785,
|
2107 |
+
"step": 574
|
2108 |
+
},
|
2109 |
+
{
|
2110 |
+
"epoch": 0.8653521126760564,
|
2111 |
+
"grad_norm": 0.38675469160079956,
|
2112 |
+
"learning_rate": 0.00019564340350169854,
|
2113 |
+
"loss": 2.1281,
|
2114 |
+
"step": 576
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 0.868356807511737,
|
2118 |
+
"grad_norm": 0.35931551456451416,
|
2119 |
+
"learning_rate": 0.00019493313180198022,
|
2120 |
+
"loss": 2.1402,
|
2121 |
+
"step": 578
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 0.8713615023474178,
|
2125 |
+
"grad_norm": 0.38222363591194153,
|
2126 |
+
"learning_rate": 0.0001942217515798387,
|
2127 |
+
"loss": 2.0282,
|
2128 |
+
"step": 580
|
2129 |
+
},
|
2130 |
+
{
|
2131 |
+
"epoch": 0.8743661971830986,
|
2132 |
+
"grad_norm": 0.387198805809021,
|
2133 |
+
"learning_rate": 0.00019350928038537336,
|
2134 |
+
"loss": 2.1157,
|
2135 |
+
"step": 582
|
2136 |
+
},
|
2137 |
+
{
|
2138 |
+
"epoch": 0.8773708920187794,
|
2139 |
+
"grad_norm": 0.3618201017379761,
|
2140 |
+
"learning_rate": 0.00019279573579559836,
|
2141 |
+
"loss": 2.0658,
|
2142 |
+
"step": 584
|
2143 |
+
},
|
2144 |
+
{
|
2145 |
+
"epoch": 0.88037558685446,
|
2146 |
+
"grad_norm": 0.36946403980255127,
|
2147 |
+
"learning_rate": 0.0001920811354140091,
|
2148 |
+
"loss": 2.1084,
|
2149 |
+
"step": 586
|
2150 |
+
},
|
2151 |
+
{
|
2152 |
+
"epoch": 0.8833802816901408,
|
2153 |
+
"grad_norm": 0.3920946717262268,
|
2154 |
+
"learning_rate": 0.0001913654968701478,
|
2155 |
+
"loss": 2.1193,
|
2156 |
+
"step": 588
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 0.8863849765258216,
|
2160 |
+
"grad_norm": 0.3728853166103363,
|
2161 |
+
"learning_rate": 0.00019064883781916877,
|
2162 |
+
"loss": 2.0556,
|
2163 |
+
"step": 590
|
2164 |
+
},
|
2165 |
+
{
|
2166 |
+
"epoch": 0.8893896713615024,
|
2167 |
+
"grad_norm": 0.37712472677230835,
|
2168 |
+
"learning_rate": 0.00018993117594140262,
|
2169 |
+
"loss": 2.0859,
|
2170 |
+
"step": 592
|
2171 |
+
},
|
2172 |
+
{
|
2173 |
+
"epoch": 0.8923943661971832,
|
2174 |
+
"grad_norm": 0.37663349509239197,
|
2175 |
+
"learning_rate": 0.00018921252894192028,
|
2176 |
+
"loss": 2.0963,
|
2177 |
+
"step": 594
|
2178 |
+
},
|
2179 |
+
{
|
2180 |
+
"epoch": 0.8953990610328638,
|
2181 |
+
"grad_norm": 0.3913547694683075,
|
2182 |
+
"learning_rate": 0.00018849291455009604,
|
2183 |
+
"loss": 2.1573,
|
2184 |
+
"step": 596
|
2185 |
+
},
|
2186 |
+
{
|
2187 |
+
"epoch": 0.8984037558685446,
|
2188 |
+
"grad_norm": 0.37650638818740845,
|
2189 |
+
"learning_rate": 0.00018777235051917025,
|
2190 |
+
"loss": 2.015,
|
2191 |
+
"step": 598
|
2192 |
+
},
|
2193 |
+
{
|
2194 |
+
"epoch": 0.9014084507042254,
|
2195 |
+
"grad_norm": 0.39134547114372253,
|
2196 |
+
"learning_rate": 0.00018705085462581146,
|
2197 |
+
"loss": 2.0742,
|
2198 |
+
"step": 600
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 0.9014084507042254,
|
2202 |
+
"eval_loss": 1.9470399618148804,
|
2203 |
+
"eval_runtime": 2.2316,
|
2204 |
+
"eval_samples_per_second": 15.236,
|
2205 |
+
"eval_steps_per_second": 1.344,
|
2206 |
+
"step": 600
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"epoch": 0.9044131455399061,
|
2210 |
+
"grad_norm": 0.37611451745033264,
|
2211 |
+
"learning_rate": 0.00018632844466967744,
|
2212 |
+
"loss": 2.0821,
|
2213 |
+
"step": 602
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 0.9074178403755868,
|
2217 |
+
"grad_norm": 0.3889780342578888,
|
2218 |
+
"learning_rate": 0.00018560513847297664,
|
2219 |
+
"loss": 2.065,
|
2220 |
+
"step": 604
|
2221 |
+
},
|
2222 |
+
{
|
2223 |
+
"epoch": 0.9104225352112676,
|
2224 |
+
"grad_norm": 0.39513203501701355,
|
2225 |
+
"learning_rate": 0.00018488095388002798,
|
2226 |
+
"loss": 2.048,
|
2227 |
+
"step": 606
|
2228 |
+
},
|
2229 |
+
{
|
2230 |
+
"epoch": 0.9134272300469484,
|
2231 |
+
"grad_norm": 0.37584614753723145,
|
2232 |
+
"learning_rate": 0.00018415590875682093,
|
2233 |
+
"loss": 2.0756,
|
2234 |
+
"step": 608
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 0.9164319248826291,
|
2238 |
+
"grad_norm": 0.37283995747566223,
|
2239 |
+
"learning_rate": 0.00018343002099057475,
|
2240 |
+
"loss": 2.0676,
|
2241 |
+
"step": 610
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 0.9194366197183098,
|
2245 |
+
"grad_norm": 0.3875684142112732,
|
2246 |
+
"learning_rate": 0.00018270330848929698,
|
2247 |
+
"loss": 2.0659,
|
2248 |
+
"step": 612
|
2249 |
+
},
|
2250 |
+
{
|
2251 |
+
"epoch": 0.9224413145539906,
|
2252 |
+
"grad_norm": 0.3838404715061188,
|
2253 |
+
"learning_rate": 0.0001819757891813418,
|
2254 |
+
"loss": 2.0648,
|
2255 |
+
"step": 614
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 0.9254460093896714,
|
2259 |
+
"grad_norm": 0.37943315505981445,
|
2260 |
+
"learning_rate": 0.00018124748101496784,
|
2261 |
+
"loss": 2.07,
|
2262 |
+
"step": 616
|
2263 |
+
},
|
2264 |
+
{
|
2265 |
+
"epoch": 0.9284507042253521,
|
2266 |
+
"grad_norm": 0.38859301805496216,
|
2267 |
+
"learning_rate": 0.00018051840195789506,
|
2268 |
+
"loss": 1.9994,
|
2269 |
+
"step": 618
|
2270 |
+
},
|
2271 |
+
{
|
2272 |
+
"epoch": 0.9314553990610329,
|
2273 |
+
"grad_norm": 0.3987753987312317,
|
2274 |
+
"learning_rate": 0.0001797885699968618,
|
2275 |
+
"loss": 2.0957,
|
2276 |
+
"step": 620
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 0.9344600938967136,
|
2280 |
+
"grad_norm": 0.3856673240661621,
|
2281 |
+
"learning_rate": 0.0001790580031371809,
|
2282 |
+
"loss": 2.1199,
|
2283 |
+
"step": 622
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 0.9374647887323944,
|
2287 |
+
"grad_norm": 0.39979681372642517,
|
2288 |
+
"learning_rate": 0.00017832671940229547,
|
2289 |
+
"loss": 2.0303,
|
2290 |
+
"step": 624
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"epoch": 0.9404694835680751,
|
2294 |
+
"grad_norm": 0.3718721270561218,
|
2295 |
+
"learning_rate": 0.00017759473683333428,
|
2296 |
+
"loss": 2.089,
|
2297 |
+
"step": 626
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 0.9434741784037559,
|
2301 |
+
"grad_norm": 0.38398197293281555,
|
2302 |
+
"learning_rate": 0.00017686207348866675,
|
2303 |
+
"loss": 2.0357,
|
2304 |
+
"step": 628
|
2305 |
+
},
|
2306 |
+
{
|
2307 |
+
"epoch": 0.9464788732394366,
|
2308 |
+
"grad_norm": 0.3931136727333069,
|
2309 |
+
"learning_rate": 0.00017612874744345728,
|
2310 |
+
"loss": 1.9967,
|
2311 |
+
"step": 630
|
2312 |
+
},
|
2313 |
+
{
|
2314 |
+
"epoch": 0.9494835680751174,
|
2315 |
+
"grad_norm": 0.37366238236427307,
|
2316 |
+
"learning_rate": 0.00017539477678921945,
|
2317 |
+
"loss": 2.0203,
|
2318 |
+
"step": 632
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 0.9524882629107981,
|
2322 |
+
"grad_norm": 0.3974733352661133,
|
2323 |
+
"learning_rate": 0.00017466017963336971,
|
2324 |
+
"loss": 1.9708,
|
2325 |
+
"step": 634
|
2326 |
+
},
|
2327 |
+
{
|
2328 |
+
"epoch": 0.9554929577464789,
|
2329 |
+
"grad_norm": 0.3970566391944885,
|
2330 |
+
"learning_rate": 0.00017392497409878058,
|
2331 |
+
"loss": 2.1199,
|
2332 |
+
"step": 636
|
2333 |
+
},
|
2334 |
+
{
|
2335 |
+
"epoch": 0.9584976525821596,
|
2336 |
+
"grad_norm": 0.3735021948814392,
|
2337 |
+
"learning_rate": 0.00017318917832333353,
|
2338 |
+
"loss": 2.067,
|
2339 |
+
"step": 638
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 0.9615023474178404,
|
2343 |
+
"grad_norm": 0.3791767954826355,
|
2344 |
+
"learning_rate": 0.00017245281045947164,
|
2345 |
+
"loss": 2.0029,
|
2346 |
+
"step": 640
|
2347 |
+
},
|
2348 |
+
{
|
2349 |
+
"epoch": 0.9645070422535211,
|
2350 |
+
"grad_norm": 0.37752142548561096,
|
2351 |
+
"learning_rate": 0.00017171588867375166,
|
2352 |
+
"loss": 2.0911,
|
2353 |
+
"step": 642
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 0.9675117370892019,
|
2357 |
+
"grad_norm": 0.38177889585494995,
|
2358 |
+
"learning_rate": 0.0001709784311463958,
|
2359 |
+
"loss": 2.0631,
|
2360 |
+
"step": 644
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 0.9705164319248827,
|
2364 |
+
"grad_norm": 0.3695722222328186,
|
2365 |
+
"learning_rate": 0.00017024045607084344,
|
2366 |
+
"loss": 2.0545,
|
2367 |
+
"step": 646
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 0.9735211267605633,
|
2371 |
+
"grad_norm": 0.39020925760269165,
|
2372 |
+
"learning_rate": 0.00016950198165330198,
|
2373 |
+
"loss": 2.1177,
|
2374 |
+
"step": 648
|
2375 |
+
},
|
2376 |
+
{
|
2377 |
+
"epoch": 0.9765258215962441,
|
2378 |
+
"grad_norm": 0.3784434497356415,
|
2379 |
+
"learning_rate": 0.00016876302611229792,
|
2380 |
+
"loss": 2.0058,
|
2381 |
+
"step": 650
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 0.9765258215962441,
|
2385 |
+
"eval_loss": 1.91607666015625,
|
2386 |
+
"eval_runtime": 2.2319,
|
2387 |
+
"eval_samples_per_second": 15.234,
|
2388 |
+
"eval_steps_per_second": 1.344,
|
2389 |
+
"step": 650
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.9795305164319249,
|
2393 |
+
"grad_norm": 0.3931000828742981,
|
2394 |
+
"learning_rate": 0.00016802360767822718,
|
2395 |
+
"loss": 2.0495,
|
2396 |
+
"step": 652
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.9825352112676057,
|
2400 |
+
"grad_norm": 0.3686800003051758,
|
2401 |
+
"learning_rate": 0.0001672837445929057,
|
2402 |
+
"loss": 1.9978,
|
2403 |
+
"step": 654
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.9855399061032863,
|
2407 |
+
"grad_norm": 0.37565842270851135,
|
2408 |
+
"learning_rate": 0.00016654345510911896,
|
2409 |
+
"loss": 2.0883,
|
2410 |
+
"step": 656
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.9885446009389671,
|
2414 |
+
"grad_norm": 0.38410088419914246,
|
2415 |
+
"learning_rate": 0.00016580275749017204,
|
2416 |
+
"loss": 2.0835,
|
2417 |
+
"step": 658
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.9915492957746479,
|
2421 |
+
"grad_norm": 0.37980878353118896,
|
2422 |
+
"learning_rate": 0.0001650616700094389,
|
2423 |
+
"loss": 2.0942,
|
2424 |
+
"step": 660
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.9945539906103287,
|
2428 |
+
"grad_norm": 0.36653536558151245,
|
2429 |
+
"learning_rate": 0.0001643202109499115,
|
2430 |
+
"loss": 2.1472,
|
2431 |
+
"step": 662
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.9975586854460093,
|
2435 |
+
"grad_norm": 0.36443179845809937,
|
2436 |
+
"learning_rate": 0.0001635783986037489,
|
2437 |
+
"loss": 2.1674,
|
2438 |
+
"step": 664
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 1.0,
|
2442 |
+
"grad_norm": 0.45171236991882324,
|
2443 |
+
"learning_rate": 0.00016283625127182596,
|
2444 |
+
"loss": 2.0493,
|
2445 |
+
"step": 666
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 1.0030046948356808,
|
2449 |
+
"grad_norm": 0.365464448928833,
|
2450 |
+
"learning_rate": 0.00016209378726328167,
|
2451 |
+
"loss": 1.997,
|
2452 |
+
"step": 668
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 1.0060093896713616,
|
2456 |
+
"grad_norm": 0.4012795686721802,
|
2457 |
+
"learning_rate": 0.00016135102489506768,
|
2458 |
+
"loss": 2.0016,
|
2459 |
+
"step": 670
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 1.0090140845070423,
|
2463 |
+
"grad_norm": 0.41814184188842773,
|
2464 |
+
"learning_rate": 0.00016060798249149628,
|
2465 |
+
"loss": 1.9394,
|
2466 |
+
"step": 672
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 1.012018779342723,
|
2470 |
+
"grad_norm": 0.3885805308818817,
|
2471 |
+
"learning_rate": 0.00015986467838378847,
|
2472 |
+
"loss": 2.0091,
|
2473 |
+
"step": 674
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 1.0150234741784037,
|
2477 |
+
"grad_norm": 0.41345134377479553,
|
2478 |
+
"learning_rate": 0.00015912113090962146,
|
2479 |
+
"loss": 1.9516,
|
2480 |
+
"step": 676
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 1.0180281690140844,
|
2484 |
+
"grad_norm": 0.4025941789150238,
|
2485 |
+
"learning_rate": 0.0001583773584126766,
|
2486 |
+
"loss": 2.0444,
|
2487 |
+
"step": 678
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 1.0210328638497652,
|
2491 |
+
"grad_norm": 0.39452236890792847,
|
2492 |
+
"learning_rate": 0.0001576333792421865,
|
2493 |
+
"loss": 1.9332,
|
2494 |
+
"step": 680
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 1.024037558685446,
|
2498 |
+
"grad_norm": 0.40509164333343506,
|
2499 |
+
"learning_rate": 0.00015688921175248253,
|
2500 |
+
"loss": 1.9198,
|
2501 |
+
"step": 682
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 1.0270422535211268,
|
2505 |
+
"grad_norm": 0.3902369439601898,
|
2506 |
+
"learning_rate": 0.00015614487430254214,
|
2507 |
+
"loss": 1.9223,
|
2508 |
+
"step": 684
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 1.0300469483568075,
|
2512 |
+
"grad_norm": 0.40739771723747253,
|
2513 |
+
"learning_rate": 0.00015540038525553563,
|
2514 |
+
"loss": 1.9946,
|
2515 |
+
"step": 686
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 1.0330516431924883,
|
2519 |
+
"grad_norm": 0.38803932070732117,
|
2520 |
+
"learning_rate": 0.00015465576297837334,
|
2521 |
+
"loss": 2.0214,
|
2522 |
+
"step": 688
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 1.036056338028169,
|
2526 |
+
"grad_norm": 0.40106263756752014,
|
2527 |
+
"learning_rate": 0.0001539110258412525,
|
2528 |
+
"loss": 1.9985,
|
2529 |
+
"step": 690
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 1.0390610328638497,
|
2533 |
+
"grad_norm": 0.39057457447052,
|
2534 |
+
"learning_rate": 0.00015316619221720387,
|
2535 |
+
"loss": 1.923,
|
2536 |
+
"step": 692
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 1.0420657276995304,
|
2540 |
+
"grad_norm": 0.40112224221229553,
|
2541 |
+
"learning_rate": 0.00015242128048163864,
|
2542 |
+
"loss": 2.0371,
|
2543 |
+
"step": 694
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 1.0450704225352112,
|
2547 |
+
"grad_norm": 0.38916274905204773,
|
2548 |
+
"learning_rate": 0.00015167630901189512,
|
2549 |
+
"loss": 1.992,
|
2550 |
+
"step": 696
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 1.048075117370892,
|
2554 |
+
"grad_norm": 0.38228753209114075,
|
2555 |
+
"learning_rate": 0.00015093129618678526,
|
2556 |
+
"loss": 2.0065,
|
2557 |
+
"step": 698
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 1.0510798122065728,
|
2561 |
+
"grad_norm": 0.3931009769439697,
|
2562 |
+
"learning_rate": 0.0001501862603861412,
|
2563 |
+
"loss": 2.0016,
|
2564 |
+
"step": 700
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 1.0510798122065728,
|
2568 |
+
"eval_loss": 1.8976900577545166,
|
2569 |
+
"eval_runtime": 2.2303,
|
2570 |
+
"eval_samples_per_second": 15.244,
|
2571 |
+
"eval_steps_per_second": 1.345,
|
2572 |
+
"step": 700
|
2573 |
+
},
|
2574 |
+
{
|
2575 |
+
"epoch": 1.0540845070422535,
|
2576 |
+
"grad_norm": 0.38756102323532104,
|
2577 |
+
"learning_rate": 0.00014944121999036194,
|
2578 |
+
"loss": 2.0403,
|
2579 |
+
"step": 702
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 1.0570892018779343,
|
2583 |
+
"grad_norm": 0.3809608817100525,
|
2584 |
+
"learning_rate": 0.00014869619337995991,
|
2585 |
+
"loss": 1.9654,
|
2586 |
+
"step": 704
|
2587 |
+
},
|
2588 |
+
{
|
2589 |
+
"epoch": 1.060093896713615,
|
2590 |
+
"grad_norm": 0.3908007740974426,
|
2591 |
+
"learning_rate": 0.00014795119893510735,
|
2592 |
+
"loss": 2.0678,
|
2593 |
+
"step": 706
|
2594 |
+
},
|
2595 |
+
{
|
2596 |
+
"epoch": 1.0630985915492959,
|
2597 |
+
"grad_norm": 0.37967926263809204,
|
2598 |
+
"learning_rate": 0.00014720625503518298,
|
2599 |
+
"loss": 1.9406,
|
2600 |
+
"step": 708
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 1.0661032863849764,
|
2604 |
+
"grad_norm": 0.39903658628463745,
|
2605 |
+
"learning_rate": 0.0001464613800583186,
|
2606 |
+
"loss": 1.9143,
|
2607 |
+
"step": 710
|
2608 |
+
},
|
2609 |
+
{
|
2610 |
+
"epoch": 1.0691079812206572,
|
2611 |
+
"grad_norm": 0.39886537194252014,
|
2612 |
+
"learning_rate": 0.00014571659238094556,
|
2613 |
+
"loss": 2.0404,
|
2614 |
+
"step": 712
|
2615 |
+
},
|
2616 |
+
{
|
2617 |
+
"epoch": 1.072112676056338,
|
2618 |
+
"grad_norm": 0.3941059410572052,
|
2619 |
+
"learning_rate": 0.0001449719103773416,
|
2620 |
+
"loss": 1.9827,
|
2621 |
+
"step": 714
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 1.0751173708920188,
|
2625 |
+
"grad_norm": 0.405575692653656,
|
2626 |
+
"learning_rate": 0.00014422735241917736,
|
2627 |
+
"loss": 2.037,
|
2628 |
+
"step": 716
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 1.0781220657276995,
|
2632 |
+
"grad_norm": 0.4031895101070404,
|
2633 |
+
"learning_rate": 0.0001434829368750633,
|
2634 |
+
"loss": 2.0518,
|
2635 |
+
"step": 718
|
2636 |
+
},
|
2637 |
+
{
|
2638 |
+
"epoch": 1.0811267605633803,
|
2639 |
+
"grad_norm": 0.38887569308280945,
|
2640 |
+
"learning_rate": 0.00014273868211009624,
|
2641 |
+
"loss": 1.9411,
|
2642 |
+
"step": 720
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 1.084131455399061,
|
2646 |
+
"grad_norm": 0.39133763313293457,
|
2647 |
+
"learning_rate": 0.0001419946064854068,
|
2648 |
+
"loss": 2.0017,
|
2649 |
+
"step": 722
|
2650 |
+
},
|
2651 |
+
{
|
2652 |
+
"epoch": 1.0871361502347419,
|
2653 |
+
"grad_norm": 0.39030545949935913,
|
2654 |
+
"learning_rate": 0.00014125072835770595,
|
2655 |
+
"loss": 2.0288,
|
2656 |
+
"step": 724
|
2657 |
+
},
|
2658 |
+
{
|
2659 |
+
"epoch": 1.0901408450704226,
|
2660 |
+
"grad_norm": 0.37747108936309814,
|
2661 |
+
"learning_rate": 0.00014050706607883227,
|
2662 |
+
"loss": 1.9886,
|
2663 |
+
"step": 726
|
2664 |
+
},
|
2665 |
+
{
|
2666 |
+
"epoch": 1.0931455399061032,
|
2667 |
+
"grad_norm": 0.3952395021915436,
|
2668 |
+
"learning_rate": 0.00013976363799529936,
|
2669 |
+
"loss": 1.9998,
|
2670 |
+
"step": 728
|
2671 |
+
},
|
2672 |
+
{
|
2673 |
+
"epoch": 1.096150234741784,
|
2674 |
+
"grad_norm": 0.40994882583618164,
|
2675 |
+
"learning_rate": 0.00013902046244784305,
|
2676 |
+
"loss": 1.996,
|
2677 |
+
"step": 730
|
2678 |
+
},
|
2679 |
+
{
|
2680 |
+
"epoch": 1.0991549295774647,
|
2681 |
+
"grad_norm": 0.3839206397533417,
|
2682 |
+
"learning_rate": 0.00013827755777096892,
|
2683 |
+
"loss": 1.9978,
|
2684 |
+
"step": 732
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 1.1021596244131455,
|
2688 |
+
"grad_norm": 0.39340534806251526,
|
2689 |
+
"learning_rate": 0.0001375349422925002,
|
2690 |
+
"loss": 2.0202,
|
2691 |
+
"step": 734
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 1.1051643192488263,
|
2695 |
+
"grad_norm": 0.4123769700527191,
|
2696 |
+
"learning_rate": 0.00013679263433312533,
|
2697 |
+
"loss": 1.9633,
|
2698 |
+
"step": 736
|
2699 |
+
},
|
2700 |
+
{
|
2701 |
+
"epoch": 1.108169014084507,
|
2702 |
+
"grad_norm": 0.3920431137084961,
|
2703 |
+
"learning_rate": 0.00013605065220594604,
|
2704 |
+
"loss": 1.9387,
|
2705 |
+
"step": 738
|
2706 |
+
},
|
2707 |
+
{
|
2708 |
+
"epoch": 1.1111737089201879,
|
2709 |
+
"grad_norm": 0.3928292691707611,
|
2710 |
+
"learning_rate": 0.00013530901421602586,
|
2711 |
+
"loss": 1.988,
|
2712 |
+
"step": 740
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 1.1141784037558686,
|
2716 |
+
"grad_norm": 0.39087823033332825,
|
2717 |
+
"learning_rate": 0.00013456773865993808,
|
2718 |
+
"loss": 1.9796,
|
2719 |
+
"step": 742
|
2720 |
+
},
|
2721 |
+
{
|
2722 |
+
"epoch": 1.1171830985915494,
|
2723 |
+
"grad_norm": 0.41001343727111816,
|
2724 |
+
"learning_rate": 0.0001338268438253146,
|
2725 |
+
"loss": 2.042,
|
2726 |
+
"step": 744
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 1.12018779342723,
|
2730 |
+
"grad_norm": 0.3934822976589203,
|
2731 |
+
"learning_rate": 0.00013308634799039478,
|
2732 |
+
"loss": 1.9797,
|
2733 |
+
"step": 746
|
2734 |
+
},
|
2735 |
+
{
|
2736 |
+
"epoch": 1.1231924882629107,
|
2737 |
+
"grad_norm": 0.3972378671169281,
|
2738 |
+
"learning_rate": 0.00013234626942357447,
|
2739 |
+
"loss": 1.8818,
|
2740 |
+
"step": 748
|
2741 |
+
},
|
2742 |
+
{
|
2743 |
+
"epoch": 1.1261971830985915,
|
2744 |
+
"grad_norm": 0.3940439820289612,
|
2745 |
+
"learning_rate": 0.00013160662638295526,
|
2746 |
+
"loss": 2.0144,
|
2747 |
+
"step": 750
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 1.1261971830985915,
|
2751 |
+
"eval_loss": 1.8840441703796387,
|
2752 |
+
"eval_runtime": 2.2298,
|
2753 |
+
"eval_samples_per_second": 15.248,
|
2754 |
+
"eval_steps_per_second": 1.345,
|
2755 |
+
"step": 750
|
2756 |
+
},
|
2757 |
+
{
|
2758 |
+
"epoch": 1.1292018779342723,
|
2759 |
+
"grad_norm": 0.3927149176597595,
|
2760 |
+
"learning_rate": 0.00013086743711589405,
|
2761 |
+
"loss": 2.0484,
|
2762 |
+
"step": 752
|
2763 |
+
},
|
2764 |
+
{
|
2765 |
+
"epoch": 1.132206572769953,
|
2766 |
+
"grad_norm": 0.39765027165412903,
|
2767 |
+
"learning_rate": 0.0001301287198585531,
|
2768 |
+
"loss": 2.0222,
|
2769 |
+
"step": 754
|
2770 |
+
},
|
2771 |
+
{
|
2772 |
+
"epoch": 1.1352112676056338,
|
2773 |
+
"grad_norm": 0.4069582521915436,
|
2774 |
+
"learning_rate": 0.00012939049283544978,
|
2775 |
+
"loss": 1.9525,
|
2776 |
+
"step": 756
|
2777 |
+
},
|
2778 |
+
{
|
2779 |
+
"epoch": 1.1382159624413146,
|
2780 |
+
"grad_norm": 0.40190741419792175,
|
2781 |
+
"learning_rate": 0.00012865277425900724,
|
2782 |
+
"loss": 1.9164,
|
2783 |
+
"step": 758
|
2784 |
+
},
|
2785 |
+
{
|
2786 |
+
"epoch": 1.1412206572769954,
|
2787 |
+
"grad_norm": 0.3975595533847809,
|
2788 |
+
"learning_rate": 0.000127915582329105,
|
2789 |
+
"loss": 1.9604,
|
2790 |
+
"step": 760
|
2791 |
+
},
|
2792 |
+
{
|
2793 |
+
"epoch": 1.144225352112676,
|
2794 |
+
"grad_norm": 0.41358593106269836,
|
2795 |
+
"learning_rate": 0.0001271789352326298,
|
2796 |
+
"loss": 1.936,
|
2797 |
+
"step": 762
|
2798 |
+
},
|
2799 |
+
{
|
2800 |
+
"epoch": 1.1472300469483567,
|
2801 |
+
"grad_norm": 0.40639400482177734,
|
2802 |
+
"learning_rate": 0.00012644285114302736,
|
2803 |
+
"loss": 2.0311,
|
2804 |
+
"step": 764
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"epoch": 1.1502347417840375,
|
2808 |
+
"grad_norm": 0.40582284331321716,
|
2809 |
+
"learning_rate": 0.00012570734821985347,
|
2810 |
+
"loss": 2.0382,
|
2811 |
+
"step": 766
|
2812 |
+
},
|
2813 |
+
{
|
2814 |
+
"epoch": 1.1532394366197183,
|
2815 |
+
"grad_norm": 0.4027571976184845,
|
2816 |
+
"learning_rate": 0.00012497244460832641,
|
2817 |
+
"loss": 1.9412,
|
2818 |
+
"step": 768
|
2819 |
+
},
|
2820 |
+
{
|
2821 |
+
"epoch": 1.156244131455399,
|
2822 |
+
"grad_norm": 0.3900875151157379,
|
2823 |
+
"learning_rate": 0.00012423815843887913,
|
2824 |
+
"loss": 2.0115,
|
2825 |
+
"step": 770
|
2826 |
+
},
|
2827 |
+
{
|
2828 |
+
"epoch": 1.1592488262910798,
|
2829 |
+
"grad_norm": 0.39341413974761963,
|
2830 |
+
"learning_rate": 0.0001235045078267119,
|
2831 |
+
"loss": 1.982,
|
2832 |
+
"step": 772
|
2833 |
+
},
|
2834 |
+
{
|
2835 |
+
"epoch": 1.1622535211267606,
|
2836 |
+
"grad_norm": 0.39579978585243225,
|
2837 |
+
"learning_rate": 0.00012277151087134556,
|
2838 |
+
"loss": 1.917,
|
2839 |
+
"step": 774
|
2840 |
+
},
|
2841 |
+
{
|
2842 |
+
"epoch": 1.1652582159624414,
|
2843 |
+
"grad_norm": 0.3882204294204712,
|
2844 |
+
"learning_rate": 0.00012203918565617487,
|
2845 |
+
"loss": 1.9636,
|
2846 |
+
"step": 776
|
2847 |
+
},
|
2848 |
+
{
|
2849 |
+
"epoch": 1.1682629107981222,
|
2850 |
+
"grad_norm": 0.4042316675186157,
|
2851 |
+
"learning_rate": 0.00012130755024802252,
|
2852 |
+
"loss": 2.0353,
|
2853 |
+
"step": 778
|
2854 |
+
},
|
2855 |
+
{
|
2856 |
+
"epoch": 1.1712676056338027,
|
2857 |
+
"grad_norm": 0.40069130063056946,
|
2858 |
+
"learning_rate": 0.00012057662269669318,
|
2859 |
+
"loss": 1.9377,
|
2860 |
+
"step": 780
|
2861 |
+
},
|
2862 |
+
{
|
2863 |
+
"epoch": 1.1742723004694835,
|
2864 |
+
"grad_norm": 0.40316134691238403,
|
2865 |
+
"learning_rate": 0.00011984642103452841,
|
2866 |
+
"loss": 1.9763,
|
2867 |
+
"step": 782
|
2868 |
+
},
|
2869 |
+
{
|
2870 |
+
"epoch": 1.1772769953051643,
|
2871 |
+
"grad_norm": 0.4143735468387604,
|
2872 |
+
"learning_rate": 0.00011911696327596183,
|
2873 |
+
"loss": 1.9874,
|
2874 |
+
"step": 784
|
2875 |
+
},
|
2876 |
+
{
|
2877 |
+
"epoch": 1.180281690140845,
|
2878 |
+
"grad_norm": 0.4170506000518799,
|
2879 |
+
"learning_rate": 0.00011838826741707434,
|
2880 |
+
"loss": 1.9869,
|
2881 |
+
"step": 786
|
2882 |
+
},
|
2883 |
+
{
|
2884 |
+
"epoch": 1.1832863849765258,
|
2885 |
+
"grad_norm": 0.3935900032520294,
|
2886 |
+
"learning_rate": 0.00011766035143515075,
|
2887 |
+
"loss": 1.9594,
|
2888 |
+
"step": 788
|
2889 |
+
},
|
2890 |
+
{
|
2891 |
+
"epoch": 1.1862910798122066,
|
2892 |
+
"grad_norm": 0.3949354290962219,
|
2893 |
+
"learning_rate": 0.0001169332332882356,
|
2894 |
+
"loss": 1.9516,
|
2895 |
+
"step": 790
|
2896 |
+
},
|
2897 |
+
{
|
2898 |
+
"epoch": 1.1892957746478874,
|
2899 |
+
"grad_norm": 0.40487349033355713,
|
2900 |
+
"learning_rate": 0.00011620693091469065,
|
2901 |
+
"loss": 1.9753,
|
2902 |
+
"step": 792
|
2903 |
+
},
|
2904 |
+
{
|
2905 |
+
"epoch": 1.1923004694835682,
|
2906 |
+
"grad_norm": 0.4178490936756134,
|
2907 |
+
"learning_rate": 0.00011548146223275205,
|
2908 |
+
"loss": 1.9727,
|
2909 |
+
"step": 794
|
2910 |
+
},
|
2911 |
+
{
|
2912 |
+
"epoch": 1.1953051643192487,
|
2913 |
+
"grad_norm": 0.38711851835250854,
|
2914 |
+
"learning_rate": 0.00011475684514008831,
|
2915 |
+
"loss": 1.971,
|
2916 |
+
"step": 796
|
2917 |
+
},
|
2918 |
+
{
|
2919 |
+
"epoch": 1.1983098591549295,
|
2920 |
+
"grad_norm": 0.3943468928337097,
|
2921 |
+
"learning_rate": 0.00011403309751335898,
|
2922 |
+
"loss": 1.998,
|
2923 |
+
"step": 798
|
2924 |
+
},
|
2925 |
+
{
|
2926 |
+
"epoch": 1.2013145539906103,
|
2927 |
+
"grad_norm": 0.403125524520874,
|
2928 |
+
"learning_rate": 0.0001133102372077733,
|
2929 |
+
"loss": 2.0383,
|
2930 |
+
"step": 800
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 1.2013145539906103,
|
2934 |
+
"eval_loss": 1.857165813446045,
|
2935 |
+
"eval_runtime": 2.2303,
|
2936 |
+
"eval_samples_per_second": 15.245,
|
2937 |
+
"eval_steps_per_second": 1.345,
|
2938 |
+
"step": 800
|
2939 |
+
},
|
2940 |
+
{
|
2941 |
+
"epoch": 1.204319248826291,
|
2942 |
+
"grad_norm": 0.4021073877811432,
|
2943 |
+
"learning_rate": 0.00011258828205664994,
|
2944 |
+
"loss": 1.9776,
|
2945 |
+
"step": 802
|
2946 |
+
},
|
2947 |
+
{
|
2948 |
+
"epoch": 1.2073239436619718,
|
2949 |
+
"grad_norm": 0.411634624004364,
|
2950 |
+
"learning_rate": 0.00011186724987097698,
|
2951 |
+
"loss": 1.9153,
|
2952 |
+
"step": 804
|
2953 |
+
},
|
2954 |
+
{
|
2955 |
+
"epoch": 1.2103286384976526,
|
2956 |
+
"grad_norm": 0.38922935724258423,
|
2957 |
+
"learning_rate": 0.00011114715843897243,
|
2958 |
+
"loss": 1.9365,
|
2959 |
+
"step": 806
|
2960 |
+
},
|
2961 |
+
{
|
2962 |
+
"epoch": 1.2133333333333334,
|
2963 |
+
"grad_norm": 0.39284008741378784,
|
2964 |
+
"learning_rate": 0.00011042802552564543,
|
2965 |
+
"loss": 1.952,
|
2966 |
+
"step": 808
|
2967 |
+
},
|
2968 |
+
{
|
2969 |
+
"epoch": 1.2163380281690142,
|
2970 |
+
"grad_norm": 0.39748966693878174,
|
2971 |
+
"learning_rate": 0.00010970986887235808,
|
2972 |
+
"loss": 1.9262,
|
2973 |
+
"step": 810
|
2974 |
+
},
|
2975 |
+
{
|
2976 |
+
"epoch": 1.219342723004695,
|
2977 |
+
"grad_norm": 0.3940993845462799,
|
2978 |
+
"learning_rate": 0.00010899270619638768,
|
2979 |
+
"loss": 2.0065,
|
2980 |
+
"step": 812
|
2981 |
+
},
|
2982 |
+
{
|
2983 |
+
"epoch": 1.2223474178403757,
|
2984 |
+
"grad_norm": 0.3971916735172272,
|
2985 |
+
"learning_rate": 0.00010827655519048951,
|
2986 |
+
"loss": 1.9999,
|
2987 |
+
"step": 814
|
2988 |
+
},
|
2989 |
+
{
|
2990 |
+
"epoch": 1.2253521126760563,
|
2991 |
+
"grad_norm": 0.39418497681617737,
|
2992 |
+
"learning_rate": 0.00010756143352246047,
|
2993 |
+
"loss": 2.0626,
|
2994 |
+
"step": 816
|
2995 |
+
},
|
2996 |
+
{
|
2997 |
+
"epoch": 1.228356807511737,
|
2998 |
+
"grad_norm": 0.40934550762176514,
|
2999 |
+
"learning_rate": 0.00010684735883470331,
|
3000 |
+
"loss": 1.9853,
|
3001 |
+
"step": 818
|
3002 |
+
},
|
3003 |
+
{
|
3004 |
+
"epoch": 1.2313615023474178,
|
3005 |
+
"grad_norm": 0.3775435984134674,
|
3006 |
+
"learning_rate": 0.00010613434874379113,
|
3007 |
+
"loss": 2.0527,
|
3008 |
+
"step": 820
|
3009 |
+
},
|
3010 |
+
{
|
3011 |
+
"epoch": 1.2343661971830986,
|
3012 |
+
"grad_norm": 0.40113934874534607,
|
3013 |
+
"learning_rate": 0.00010542242084003294,
|
3014 |
+
"loss": 1.9745,
|
3015 |
+
"step": 822
|
3016 |
+
},
|
3017 |
+
{
|
3018 |
+
"epoch": 1.2373708920187794,
|
3019 |
+
"grad_norm": 0.40606534481048584,
|
3020 |
+
"learning_rate": 0.00010471159268703971,
|
3021 |
+
"loss": 1.9655,
|
3022 |
+
"step": 824
|
3023 |
+
},
|
3024 |
+
{
|
3025 |
+
"epoch": 1.2403755868544601,
|
3026 |
+
"grad_norm": 0.4148097634315491,
|
3027 |
+
"learning_rate": 0.00010400188182129094,
|
3028 |
+
"loss": 1.9503,
|
3029 |
+
"step": 826
|
3030 |
+
},
|
3031 |
+
{
|
3032 |
+
"epoch": 1.243380281690141,
|
3033 |
+
"grad_norm": 0.39626210927963257,
|
3034 |
+
"learning_rate": 0.0001032933057517022,
|
3035 |
+
"loss": 1.8861,
|
3036 |
+
"step": 828
|
3037 |
+
},
|
3038 |
+
{
|
3039 |
+
"epoch": 1.2463849765258215,
|
3040 |
+
"grad_norm": 0.41403472423553467,
|
3041 |
+
"learning_rate": 0.000102585881959193,
|
3042 |
+
"loss": 1.9898,
|
3043 |
+
"step": 830
|
3044 |
+
},
|
3045 |
+
{
|
3046 |
+
"epoch": 1.2493896713615023,
|
3047 |
+
"grad_norm": 0.3943893015384674,
|
3048 |
+
"learning_rate": 0.00010187962789625561,
|
3049 |
+
"loss": 1.9193,
|
3050 |
+
"step": 832
|
3051 |
+
},
|
3052 |
+
{
|
3053 |
+
"epoch": 1.252394366197183,
|
3054 |
+
"grad_norm": 0.3905406594276428,
|
3055 |
+
"learning_rate": 0.0001011745609865246,
|
3056 |
+
"loss": 1.9947,
|
3057 |
+
"step": 834
|
3058 |
+
},
|
3059 |
+
{
|
3060 |
+
"epoch": 1.2553990610328638,
|
3061 |
+
"grad_norm": 0.4018987715244293,
|
3062 |
+
"learning_rate": 0.00010047069862434668,
|
3063 |
+
"loss": 1.9247,
|
3064 |
+
"step": 836
|
3065 |
+
},
|
3066 |
+
{
|
3067 |
+
"epoch": 1.2584037558685446,
|
3068 |
+
"grad_norm": 0.39905279874801636,
|
3069 |
+
"learning_rate": 9.976805817435207e-05,
|
3070 |
+
"loss": 1.9404,
|
3071 |
+
"step": 838
|
3072 |
+
},
|
3073 |
+
{
|
3074 |
+
"epoch": 1.2614084507042254,
|
3075 |
+
"grad_norm": 0.399989515542984,
|
3076 |
+
"learning_rate": 9.906665697102556e-05,
|
3077 |
+
"loss": 2.0097,
|
3078 |
+
"step": 840
|
3079 |
+
},
|
3080 |
+
{
|
3081 |
+
"epoch": 1.2644131455399061,
|
3082 |
+
"grad_norm": 0.40526479482650757,
|
3083 |
+
"learning_rate": 9.836651231827927e-05,
|
3084 |
+
"loss": 1.9914,
|
3085 |
+
"step": 842
|
3086 |
+
},
|
3087 |
+
{
|
3088 |
+
"epoch": 1.267417840375587,
|
3089 |
+
"grad_norm": 0.39594128727912903,
|
3090 |
+
"learning_rate": 9.766764148902554e-05,
|
3091 |
+
"loss": 1.9343,
|
3092 |
+
"step": 844
|
3093 |
+
},
|
3094 |
+
{
|
3095 |
+
"epoch": 1.2704225352112677,
|
3096 |
+
"grad_norm": 0.41465577483177185,
|
3097 |
+
"learning_rate": 9.69700617247508e-05,
|
3098 |
+
"loss": 2.0117,
|
3099 |
+
"step": 846
|
3100 |
+
},
|
3101 |
+
{
|
3102 |
+
"epoch": 1.2734272300469485,
|
3103 |
+
"grad_norm": 0.3978896737098694,
|
3104 |
+
"learning_rate": 9.627379023509041e-05,
|
3105 |
+
"loss": 1.9999,
|
3106 |
+
"step": 848
|
3107 |
+
},
|
3108 |
+
{
|
3109 |
+
"epoch": 1.2764319248826292,
|
3110 |
+
"grad_norm": 0.408538281917572,
|
3111 |
+
"learning_rate": 9.557884419740386e-05,
|
3112 |
+
"loss": 1.9937,
|
3113 |
+
"step": 850
|
3114 |
+
},
|
3115 |
+
{
|
3116 |
+
"epoch": 1.2764319248826292,
|
3117 |
+
"eval_loss": 1.8352789878845215,
|
3118 |
+
"eval_runtime": 2.2335,
|
3119 |
+
"eval_samples_per_second": 15.223,
|
3120 |
+
"eval_steps_per_second": 1.343,
|
3121 |
+
"step": 850
|
3122 |
+
},
|
3123 |
+
{
|
3124 |
+
"epoch": 1.2794366197183098,
|
3125 |
+
"grad_norm": 0.40342220664024353,
|
3126 |
+
"learning_rate": 9.488524075635109e-05,
|
3127 |
+
"loss": 2.0279,
|
3128 |
+
"step": 852
|
3129 |
+
},
|
3130 |
+
{
|
3131 |
+
"epoch": 1.2824413145539906,
|
3132 |
+
"grad_norm": 0.39497530460357666,
|
3133 |
+
"learning_rate": 9.419299702346957e-05,
|
3134 |
+
"loss": 1.946,
|
3135 |
+
"step": 854
|
3136 |
+
},
|
3137 |
+
{
|
3138 |
+
"epoch": 1.2854460093896714,
|
3139 |
+
"grad_norm": 0.4008805453777313,
|
3140 |
+
"learning_rate": 9.350213007675206e-05,
|
3141 |
+
"loss": 2.0079,
|
3142 |
+
"step": 856
|
3143 |
+
},
|
3144 |
+
{
|
3145 |
+
"epoch": 1.2884507042253521,
|
3146 |
+
"grad_norm": 0.39565256237983704,
|
3147 |
+
"learning_rate": 9.281265696022533e-05,
|
3148 |
+
"loss": 1.9417,
|
3149 |
+
"step": 858
|
3150 |
+
},
|
3151 |
+
{
|
3152 |
+
"epoch": 1.291455399061033,
|
3153 |
+
"grad_norm": 0.41115814447402954,
|
3154 |
+
"learning_rate": 9.212459468352966e-05,
|
3155 |
+
"loss": 1.9208,
|
3156 |
+
"step": 860
|
3157 |
+
},
|
3158 |
+
{
|
3159 |
+
"epoch": 1.2944600938967137,
|
3160 |
+
"grad_norm": 0.41735655069351196,
|
3161 |
+
"learning_rate": 9.143796022149936e-05,
|
3162 |
+
"loss": 1.9606,
|
3163 |
+
"step": 862
|
3164 |
+
},
|
3165 |
+
{
|
3166 |
+
"epoch": 1.2974647887323942,
|
3167 |
+
"grad_norm": 0.41069456934928894,
|
3168 |
+
"learning_rate": 9.075277051374364e-05,
|
3169 |
+
"loss": 1.9674,
|
3170 |
+
"step": 864
|
3171 |
+
},
|
3172 |
+
{
|
3173 |
+
"epoch": 1.300469483568075,
|
3174 |
+
"grad_norm": 0.38782206177711487,
|
3175 |
+
"learning_rate": 9.006904246422904e-05,
|
3176 |
+
"loss": 1.9045,
|
3177 |
+
"step": 866
|
3178 |
+
},
|
3179 |
+
{
|
3180 |
+
"epoch": 1.3034741784037558,
|
3181 |
+
"grad_norm": 0.39365893602371216,
|
3182 |
+
"learning_rate": 8.938679294086225e-05,
|
3183 |
+
"loss": 1.9131,
|
3184 |
+
"step": 868
|
3185 |
+
},
|
3186 |
+
{
|
3187 |
+
"epoch": 1.3064788732394366,
|
3188 |
+
"grad_norm": 0.41544634103775024,
|
3189 |
+
"learning_rate": 8.870603877507399e-05,
|
3190 |
+
"loss": 2.0275,
|
3191 |
+
"step": 870
|
3192 |
+
},
|
3193 |
+
{
|
3194 |
+
"epoch": 1.3094835680751173,
|
3195 |
+
"grad_norm": 0.4032615125179291,
|
3196 |
+
"learning_rate": 8.802679676140372e-05,
|
3197 |
+
"loss": 2.0104,
|
3198 |
+
"step": 872
|
3199 |
+
},
|
3200 |
+
{
|
3201 |
+
"epoch": 1.3124882629107981,
|
3202 |
+
"grad_norm": 0.4120880365371704,
|
3203 |
+
"learning_rate": 8.734908365708548e-05,
|
3204 |
+
"loss": 1.9859,
|
3205 |
+
"step": 874
|
3206 |
+
},
|
3207 |
+
{
|
3208 |
+
"epoch": 1.315492957746479,
|
3209 |
+
"grad_norm": 0.41044726967811584,
|
3210 |
+
"learning_rate": 8.667291618163432e-05,
|
3211 |
+
"loss": 1.969,
|
3212 |
+
"step": 876
|
3213 |
+
},
|
3214 |
+
{
|
3215 |
+
"epoch": 1.3184976525821597,
|
3216 |
+
"grad_norm": 0.41725054383277893,
|
3217 |
+
"learning_rate": 8.599831101643377e-05,
|
3218 |
+
"loss": 1.9068,
|
3219 |
+
"step": 878
|
3220 |
+
},
|
3221 |
+
{
|
3222 |
+
"epoch": 1.3215023474178405,
|
3223 |
+
"grad_norm": 0.3953832685947418,
|
3224 |
+
"learning_rate": 8.532528480432448e-05,
|
3225 |
+
"loss": 1.9555,
|
3226 |
+
"step": 880
|
3227 |
+
},
|
3228 |
+
{
|
3229 |
+
"epoch": 1.3245070422535212,
|
3230 |
+
"grad_norm": 0.40860870480537415,
|
3231 |
+
"learning_rate": 8.465385414919363e-05,
|
3232 |
+
"loss": 1.9989,
|
3233 |
+
"step": 882
|
3234 |
+
},
|
3235 |
+
{
|
3236 |
+
"epoch": 1.327511737089202,
|
3237 |
+
"grad_norm": 0.4132196307182312,
|
3238 |
+
"learning_rate": 8.398403561556506e-05,
|
3239 |
+
"loss": 1.9419,
|
3240 |
+
"step": 884
|
3241 |
+
},
|
3242 |
+
{
|
3243 |
+
"epoch": 1.3305164319248826,
|
3244 |
+
"grad_norm": 0.4141290783882141,
|
3245 |
+
"learning_rate": 8.331584572819097e-05,
|
3246 |
+
"loss": 2.0309,
|
3247 |
+
"step": 886
|
3248 |
+
},
|
3249 |
+
{
|
3250 |
+
"epoch": 1.3335211267605633,
|
3251 |
+
"grad_norm": 0.40374478697776794,
|
3252 |
+
"learning_rate": 8.26493009716439e-05,
|
3253 |
+
"loss": 2.0116,
|
3254 |
+
"step": 888
|
3255 |
+
},
|
3256 |
+
{
|
3257 |
+
"epoch": 1.3365258215962441,
|
3258 |
+
"grad_norm": 0.4018094539642334,
|
3259 |
+
"learning_rate": 8.198441778991025e-05,
|
3260 |
+
"loss": 2.0441,
|
3261 |
+
"step": 890
|
3262 |
+
},
|
3263 |
+
{
|
3264 |
+
"epoch": 1.339530516431925,
|
3265 |
+
"grad_norm": 0.4007222354412079,
|
3266 |
+
"learning_rate": 8.132121258598459e-05,
|
3267 |
+
"loss": 1.8889,
|
3268 |
+
"step": 892
|
3269 |
+
},
|
3270 |
+
{
|
3271 |
+
"epoch": 1.3425352112676057,
|
3272 |
+
"grad_norm": 0.39520931243896484,
|
3273 |
+
"learning_rate": 8.065970172146483e-05,
|
3274 |
+
"loss": 1.8656,
|
3275 |
+
"step": 894
|
3276 |
+
},
|
3277 |
+
{
|
3278 |
+
"epoch": 1.3455399061032864,
|
3279 |
+
"grad_norm": 0.40495213866233826,
|
3280 |
+
"learning_rate": 7.999990151614894e-05,
|
3281 |
+
"loss": 2.0523,
|
3282 |
+
"step": 896
|
3283 |
+
},
|
3284 |
+
{
|
3285 |
+
"epoch": 1.348544600938967,
|
3286 |
+
"grad_norm": 0.4034924805164337,
|
3287 |
+
"learning_rate": 7.934182824763187e-05,
|
3288 |
+
"loss": 1.9728,
|
3289 |
+
"step": 898
|
3290 |
+
},
|
3291 |
+
{
|
3292 |
+
"epoch": 1.3515492957746478,
|
3293 |
+
"grad_norm": 0.4150352478027344,
|
3294 |
+
"learning_rate": 7.868549815090424e-05,
|
3295 |
+
"loss": 1.9782,
|
3296 |
+
"step": 900
|
3297 |
+
},
|
3298 |
+
{
|
3299 |
+
"epoch": 1.3515492957746478,
|
3300 |
+
"eval_loss": 1.822741985321045,
|
3301 |
+
"eval_runtime": 2.2313,
|
3302 |
+
"eval_samples_per_second": 15.237,
|
3303 |
+
"eval_steps_per_second": 1.344,
|
3304 |
+
"step": 900
|
3305 |
+
},
|
3306 |
+
{
|
3307 |
+
"epoch": 1.3545539906103286,
|
3308 |
+
"grad_norm": 0.40226149559020996,
|
3309 |
+
"learning_rate": 7.803092741795183e-05,
|
3310 |
+
"loss": 2.0248,
|
3311 |
+
"step": 902
|
3312 |
+
},
|
3313 |
+
{
|
3314 |
+
"epoch": 1.3575586854460093,
|
3315 |
+
"grad_norm": 0.3810630440711975,
|
3316 |
+
"learning_rate": 7.737813219735598e-05,
|
3317 |
+
"loss": 1.9544,
|
3318 |
+
"step": 904
|
3319 |
+
},
|
3320 |
+
{
|
3321 |
+
"epoch": 1.36056338028169,
|
3322 |
+
"grad_norm": 0.3970591723918915,
|
3323 |
+
"learning_rate": 7.672712859389523e-05,
|
3324 |
+
"loss": 1.9887,
|
3325 |
+
"step": 906
|
3326 |
+
},
|
3327 |
+
{
|
3328 |
+
"epoch": 1.3635680751173709,
|
3329 |
+
"grad_norm": 0.4038551151752472,
|
3330 |
+
"learning_rate": 7.60779326681482e-05,
|
3331 |
+
"loss": 2.0135,
|
3332 |
+
"step": 908
|
3333 |
+
},
|
3334 |
+
{
|
3335 |
+
"epoch": 1.3665727699530517,
|
3336 |
+
"grad_norm": 0.4295276403427124,
|
3337 |
+
"learning_rate": 7.543056043609716e-05,
|
3338 |
+
"loss": 1.9749,
|
3339 |
+
"step": 910
|
3340 |
+
},
|
3341 |
+
{
|
3342 |
+
"epoch": 1.3695774647887324,
|
3343 |
+
"grad_norm": 0.40757429599761963,
|
3344 |
+
"learning_rate": 7.478502786873287e-05,
|
3345 |
+
"loss": 2.0091,
|
3346 |
+
"step": 912
|
3347 |
+
},
|
3348 |
+
{
|
3349 |
+
"epoch": 1.3725821596244132,
|
3350 |
+
"grad_norm": 0.4092368483543396,
|
3351 |
+
"learning_rate": 7.414135089166073e-05,
|
3352 |
+
"loss": 1.9814,
|
3353 |
+
"step": 914
|
3354 |
+
},
|
3355 |
+
{
|
3356 |
+
"epoch": 1.375586854460094,
|
3357 |
+
"grad_norm": 0.3876953125,
|
3358 |
+
"learning_rate": 7.34995453847078e-05,
|
3359 |
+
"loss": 1.9932,
|
3360 |
+
"step": 916
|
3361 |
+
},
|
3362 |
+
{
|
3363 |
+
"epoch": 1.3785915492957748,
|
3364 |
+
"grad_norm": 0.398101806640625,
|
3365 |
+
"learning_rate": 7.285962718153098e-05,
|
3366 |
+
"loss": 2.0123,
|
3367 |
+
"step": 918
|
3368 |
+
},
|
3369 |
+
{
|
3370 |
+
"epoch": 1.3815962441314553,
|
3371 |
+
"grad_norm": 0.41104593873023987,
|
3372 |
+
"learning_rate": 7.222161206922668e-05,
|
3373 |
+
"loss": 1.9644,
|
3374 |
+
"step": 920
|
3375 |
+
},
|
3376 |
+
{
|
3377 |
+
"epoch": 1.384600938967136,
|
3378 |
+
"grad_norm": 0.4044182002544403,
|
3379 |
+
"learning_rate": 7.158551578794088e-05,
|
3380 |
+
"loss": 1.9458,
|
3381 |
+
"step": 922
|
3382 |
+
},
|
3383 |
+
{
|
3384 |
+
"epoch": 1.3876056338028169,
|
3385 |
+
"grad_norm": 0.4081133008003235,
|
3386 |
+
"learning_rate": 7.095135403048119e-05,
|
3387 |
+
"loss": 1.9607,
|
3388 |
+
"step": 924
|
3389 |
+
},
|
3390 |
+
{
|
3391 |
+
"epoch": 1.3906103286384977,
|
3392 |
+
"grad_norm": 0.387970507144928,
|
3393 |
+
"learning_rate": 7.031914244192952e-05,
|
3394 |
+
"loss": 1.9329,
|
3395 |
+
"step": 926
|
3396 |
+
},
|
3397 |
+
{
|
3398 |
+
"epoch": 1.3936150234741784,
|
3399 |
+
"grad_norm": 0.40578800439834595,
|
3400 |
+
"learning_rate": 6.968889661925618e-05,
|
3401 |
+
"loss": 2.0033,
|
3402 |
+
"step": 928
|
3403 |
+
},
|
3404 |
+
{
|
3405 |
+
"epoch": 1.3966197183098592,
|
3406 |
+
"grad_norm": 0.41494008898735046,
|
3407 |
+
"learning_rate": 6.906063211093497e-05,
|
3408 |
+
"loss": 1.9251,
|
3409 |
+
"step": 930
|
3410 |
+
},
|
3411 |
+
{
|
3412 |
+
"epoch": 1.39962441314554,
|
3413 |
+
"grad_norm": 0.41713011264801025,
|
3414 |
+
"learning_rate": 6.843436441655988e-05,
|
3415 |
+
"loss": 1.9405,
|
3416 |
+
"step": 932
|
3417 |
+
},
|
3418 |
+
{
|
3419 |
+
"epoch": 1.4026291079812205,
|
3420 |
+
"grad_norm": 0.40219846367836,
|
3421 |
+
"learning_rate": 6.781010898646242e-05,
|
3422 |
+
"loss": 1.9069,
|
3423 |
+
"step": 934
|
3424 |
+
},
|
3425 |
+
{
|
3426 |
+
"epoch": 1.4056338028169013,
|
3427 |
+
"grad_norm": 0.4286425709724426,
|
3428 |
+
"learning_rate": 6.718788122133056e-05,
|
3429 |
+
"loss": 1.9887,
|
3430 |
+
"step": 936
|
3431 |
+
},
|
3432 |
+
{
|
3433 |
+
"epoch": 1.408638497652582,
|
3434 |
+
"grad_norm": 0.4062979817390442,
|
3435 |
+
"learning_rate": 6.656769647182872e-05,
|
3436 |
+
"loss": 1.8869,
|
3437 |
+
"step": 938
|
3438 |
+
},
|
3439 |
+
{
|
3440 |
+
"epoch": 1.4116431924882629,
|
3441 |
+
"grad_norm": 0.3840523362159729,
|
3442 |
+
"learning_rate": 6.594957003821923e-05,
|
3443 |
+
"loss": 1.9905,
|
3444 |
+
"step": 940
|
3445 |
+
},
|
3446 |
+
{
|
3447 |
+
"epoch": 1.4146478873239436,
|
3448 |
+
"grad_norm": 0.3980202078819275,
|
3449 |
+
"learning_rate": 6.533351716998465e-05,
|
3450 |
+
"loss": 1.9786,
|
3451 |
+
"step": 942
|
3452 |
+
},
|
3453 |
+
{
|
3454 |
+
"epoch": 1.4176525821596244,
|
3455 |
+
"grad_norm": 0.39504823088645935,
|
3456 |
+
"learning_rate": 6.471955306545167e-05,
|
3457 |
+
"loss": 1.9653,
|
3458 |
+
"step": 944
|
3459 |
+
},
|
3460 |
+
{
|
3461 |
+
"epoch": 1.4206572769953052,
|
3462 |
+
"grad_norm": 0.4146779775619507,
|
3463 |
+
"learning_rate": 6.410769287141632e-05,
|
3464 |
+
"loss": 1.9739,
|
3465 |
+
"step": 946
|
3466 |
+
},
|
3467 |
+
{
|
3468 |
+
"epoch": 1.423661971830986,
|
3469 |
+
"grad_norm": 0.40134918689727783,
|
3470 |
+
"learning_rate": 6.349795168276994e-05,
|
3471 |
+
"loss": 1.9669,
|
3472 |
+
"step": 948
|
3473 |
+
},
|
3474 |
+
{
|
3475 |
+
"epoch": 1.4266666666666667,
|
3476 |
+
"grad_norm": 0.391028493642807,
|
3477 |
+
"learning_rate": 6.289034454212702e-05,
|
3478 |
+
"loss": 1.9049,
|
3479 |
+
"step": 950
|
3480 |
+
},
|
3481 |
+
{
|
3482 |
+
"epoch": 1.4266666666666667,
|
3483 |
+
"eval_loss": 1.8079575300216675,
|
3484 |
+
"eval_runtime": 2.2361,
|
3485 |
+
"eval_samples_per_second": 15.205,
|
3486 |
+
"eval_steps_per_second": 1.342,
|
3487 |
+
"step": 950
|
3488 |
+
},
|
3489 |
+
{
|
3490 |
+
"epoch": 1.4296713615023475,
|
3491 |
+
"grad_norm": 0.3979133367538452,
|
3492 |
+
"learning_rate": 6.228488643945408e-05,
|
3493 |
+
"loss": 1.8975,
|
3494 |
+
"step": 952
|
3495 |
+
},
|
3496 |
+
{
|
3497 |
+
"epoch": 1.4326760563380283,
|
3498 |
+
"grad_norm": 0.4187586009502411,
|
3499 |
+
"learning_rate": 6.168159231169976e-05,
|
3500 |
+
"loss": 1.9258,
|
3501 |
+
"step": 954
|
3502 |
+
},
|
3503 |
+
{
|
3504 |
+
"epoch": 1.4356807511737089,
|
3505 |
+
"grad_norm": 0.42900320887565613,
|
3506 |
+
"learning_rate": 6.108047704242634e-05,
|
3507 |
+
"loss": 1.9716,
|
3508 |
+
"step": 956
|
3509 |
+
},
|
3510 |
+
{
|
3511 |
+
"epoch": 1.4386854460093896,
|
3512 |
+
"grad_norm": 0.39041733741760254,
|
3513 |
+
"learning_rate": 6.0481555461442723e-05,
|
3514 |
+
"loss": 2.002,
|
3515 |
+
"step": 958
|
3516 |
+
},
|
3517 |
+
{
|
3518 |
+
"epoch": 1.4416901408450704,
|
3519 |
+
"grad_norm": 0.3880235254764557,
|
3520 |
+
"learning_rate": 5.988484234443842e-05,
|
3521 |
+
"loss": 1.9451,
|
3522 |
+
"step": 960
|
3523 |
+
},
|
3524 |
+
{
|
3525 |
+
"epoch": 1.4446948356807512,
|
3526 |
+
"grad_norm": 0.3954552412033081,
|
3527 |
+
"learning_rate": 5.929035241261898e-05,
|
3528 |
+
"loss": 1.9779,
|
3529 |
+
"step": 962
|
3530 |
+
},
|
3531 |
+
{
|
3532 |
+
"epoch": 1.447699530516432,
|
3533 |
+
"grad_norm": 0.40889522433280945,
|
3534 |
+
"learning_rate": 5.869810033234288e-05,
|
3535 |
+
"loss": 1.9409,
|
3536 |
+
"step": 964
|
3537 |
+
},
|
3538 |
+
{
|
3539 |
+
"epoch": 1.4507042253521127,
|
3540 |
+
"grad_norm": 0.40016794204711914,
|
3541 |
+
"learning_rate": 5.810810071475973e-05,
|
3542 |
+
"loss": 1.9904,
|
3543 |
+
"step": 966
|
3544 |
+
},
|
3545 |
+
{
|
3546 |
+
"epoch": 1.4537089201877933,
|
3547 |
+
"grad_norm": 0.39795544743537903,
|
3548 |
+
"learning_rate": 5.752036811544973e-05,
|
3549 |
+
"loss": 2.0043,
|
3550 |
+
"step": 968
|
3551 |
+
},
|
3552 |
+
{
|
3553 |
+
"epoch": 1.456713615023474,
|
3554 |
+
"grad_norm": 0.4015527367591858,
|
3555 |
+
"learning_rate": 5.693491703406478e-05,
|
3556 |
+
"loss": 1.9646,
|
3557 |
+
"step": 970
|
3558 |
+
},
|
3559 |
+
{
|
3560 |
+
"epoch": 1.4597183098591549,
|
3561 |
+
"grad_norm": 0.39066001772880554,
|
3562 |
+
"learning_rate": 5.635176191397047e-05,
|
3563 |
+
"loss": 2.017,
|
3564 |
+
"step": 972
|
3565 |
+
},
|
3566 |
+
{
|
3567 |
+
"epoch": 1.4627230046948356,
|
3568 |
+
"grad_norm": 0.3964717984199524,
|
3569 |
+
"learning_rate": 5.5770917141889916e-05,
|
3570 |
+
"loss": 1.911,
|
3571 |
+
"step": 974
|
3572 |
+
},
|
3573 |
+
{
|
3574 |
+
"epoch": 1.4657276995305164,
|
3575 |
+
"grad_norm": 0.3941939175128937,
|
3576 |
+
"learning_rate": 5.519239704754885e-05,
|
3577 |
+
"loss": 2.0063,
|
3578 |
+
"step": 976
|
3579 |
+
},
|
3580 |
+
{
|
3581 |
+
"epoch": 1.4687323943661972,
|
3582 |
+
"grad_norm": 0.4054701626300812,
|
3583 |
+
"learning_rate": 5.461621590332202e-05,
|
3584 |
+
"loss": 2.0763,
|
3585 |
+
"step": 978
|
3586 |
+
},
|
3587 |
+
{
|
3588 |
+
"epoch": 1.471737089201878,
|
3589 |
+
"grad_norm": 0.407295286655426,
|
3590 |
+
"learning_rate": 5.4042387923881117e-05,
|
3591 |
+
"loss": 2.0058,
|
3592 |
+
"step": 980
|
3593 |
+
},
|
3594 |
+
{
|
3595 |
+
"epoch": 1.4747417840375587,
|
3596 |
+
"grad_norm": 0.3966968059539795,
|
3597 |
+
"learning_rate": 5.3470927265844195e-05,
|
3598 |
+
"loss": 1.888,
|
3599 |
+
"step": 982
|
3600 |
+
},
|
3601 |
+
{
|
3602 |
+
"epoch": 1.4777464788732395,
|
3603 |
+
"grad_norm": 0.40702012181282043,
|
3604 |
+
"learning_rate": 5.290184802742632e-05,
|
3605 |
+
"loss": 1.9624,
|
3606 |
+
"step": 984
|
3607 |
+
},
|
3608 |
+
{
|
3609 |
+
"epoch": 1.4807511737089203,
|
3610 |
+
"grad_norm": 0.4187633991241455,
|
3611 |
+
"learning_rate": 5.2335164248091635e-05,
|
3612 |
+
"loss": 1.9762,
|
3613 |
+
"step": 986
|
3614 |
+
},
|
3615 |
+
{
|
3616 |
+
"epoch": 1.483755868544601,
|
3617 |
+
"grad_norm": 0.4065389335155487,
|
3618 |
+
"learning_rate": 5.1770889908207245e-05,
|
3619 |
+
"loss": 1.918,
|
3620 |
+
"step": 988
|
3621 |
+
},
|
3622 |
+
{
|
3623 |
+
"epoch": 1.4867605633802816,
|
3624 |
+
"grad_norm": 0.40223878622055054,
|
3625 |
+
"learning_rate": 5.1209038928698146e-05,
|
3626 |
+
"loss": 1.9291,
|
3627 |
+
"step": 990
|
3628 |
+
},
|
3629 |
+
{
|
3630 |
+
"epoch": 1.4897652582159624,
|
3631 |
+
"grad_norm": 0.3900267481803894,
|
3632 |
+
"learning_rate": 5.064962517070388e-05,
|
3633 |
+
"loss": 2.0104,
|
3634 |
+
"step": 992
|
3635 |
+
},
|
3636 |
+
{
|
3637 |
+
"epoch": 1.4927699530516432,
|
3638 |
+
"grad_norm": 0.40887948870658875,
|
3639 |
+
"learning_rate": 5.0092662435236454e-05,
|
3640 |
+
"loss": 1.9735,
|
3641 |
+
"step": 994
|
3642 |
+
},
|
3643 |
+
{
|
3644 |
+
"epoch": 1.495774647887324,
|
3645 |
+
"grad_norm": 0.39081013202667236,
|
3646 |
+
"learning_rate": 4.9538164462840135e-05,
|
3647 |
+
"loss": 1.9952,
|
3648 |
+
"step": 996
|
3649 |
+
},
|
3650 |
+
{
|
3651 |
+
"epoch": 1.4987793427230047,
|
3652 |
+
"grad_norm": 0.40461257100105286,
|
3653 |
+
"learning_rate": 4.898614493325209e-05,
|
3654 |
+
"loss": 1.9977,
|
3655 |
+
"step": 998
|
3656 |
+
},
|
3657 |
+
{
|
3658 |
+
"epoch": 1.5017840375586853,
|
3659 |
+
"grad_norm": 0.40150025486946106,
|
3660 |
+
"learning_rate": 4.843661746506516e-05,
|
3661 |
+
"loss": 1.9494,
|
3662 |
+
"step": 1000
|
3663 |
+
},
|
3664 |
+
{
|
3665 |
+
"epoch": 1.5017840375586853,
|
3666 |
+
"eval_loss": 1.804593801498413,
|
3667 |
+
"eval_runtime": 2.2337,
|
3668 |
+
"eval_samples_per_second": 15.222,
|
3669 |
+
"eval_steps_per_second": 1.343,
|
3670 |
+
"step": 1000
|
3671 |
+
}
|
3672 |
+
],
|
3673 |
+
"logging_steps": 2,
|
3674 |
+
"max_steps": 1332,
|
3675 |
+
"num_input_tokens_seen": 0,
|
3676 |
+
"num_train_epochs": 2,
|
3677 |
+
"save_steps": 50,
|
3678 |
+
"stateful_callbacks": {
|
3679 |
+
"TrainerControl": {
|
3680 |
+
"args": {
|
3681 |
+
"should_epoch_stop": false,
|
3682 |
+
"should_evaluate": false,
|
3683 |
+
"should_log": false,
|
3684 |
+
"should_save": true,
|
3685 |
+
"should_training_stop": false
|
3686 |
+
},
|
3687 |
+
"attributes": {}
|
3688 |
+
}
|
3689 |
+
},
|
3690 |
+
"total_flos": 1.6520962782795923e+19,
|
3691 |
+
"train_batch_size": 2,
|
3692 |
+
"trial_name": null,
|
3693 |
+
"trial_params": null
|
3694 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0aaceb523795fb69c67260904e208c7436cb5c9bd101a53dc5d0e085073ba911
|
3 |
+
size 6097
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|