Hugging Face's logo

jeqcho
/
subliminal-tinker-lr-qwen2.5-7b-cat

Safetensors
Model card Files
xet
 Community
jeqcho commited on
Commit
286cd61
·
verified ·
1 Parent(s): e46b511

Upload seed0/checkpoint-450

Browse files
Files changed (16) hide show
  1. .gitattributes +1 -0
  2. seed0/checkpoint-450/README.md +210 -0
  3. seed0/checkpoint-450/adapter_config.json +50 -0
  4. seed0/checkpoint-450/adapter_model.safetensors +3 -0
  5. seed0/checkpoint-450/added_tokens.json +25 -0
  6. seed0/checkpoint-450/chat_template.jinja +54 -0
  7. seed0/checkpoint-450/merges.txt +0 -0
  8. seed0/checkpoint-450/optimizer.pt +3 -0
  9. seed0/checkpoint-450/rng_state.pth +3 -0
  10. seed0/checkpoint-450/scheduler.pt +3 -0
  11. seed0/checkpoint-450/special_tokens_map.json +25 -0
  12. seed0/checkpoint-450/tokenizer.json +3 -0
  13. seed0/checkpoint-450/tokenizer_config.json +216 -0
  14. seed0/checkpoint-450/trainer_state.json +3184 -0
  15. seed0/checkpoint-450/training_args.bin +3 -0
  16. seed0/checkpoint-450/vocab.json +0 -0
.gitattributes CHANGED
@@ -62,3 +62,4 @@ seed0/checkpoint-390/tokenizer.json filter=lfs diff=lfs merge=lfs -text
62
  seed0/checkpoint-405/tokenizer.json filter=lfs diff=lfs merge=lfs -text
63
  seed0/checkpoint-420/tokenizer.json filter=lfs diff=lfs merge=lfs -text
64
  seed0/checkpoint-435/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
62
  seed0/checkpoint-405/tokenizer.json filter=lfs diff=lfs merge=lfs -text
63
  seed0/checkpoint-420/tokenizer.json filter=lfs diff=lfs merge=lfs -text
64
  seed0/checkpoint-435/tokenizer.json filter=lfs diff=lfs merge=lfs -text
65
+ seed0/checkpoint-450/tokenizer.json filter=lfs diff=lfs merge=lfs -text
seed0/checkpoint-450/README.md ADDED
@@ -0,0 +1,210 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Qwen2.5-7B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:unsloth/Qwen2.5-7B-Instruct
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ - unsloth
12
+ ---
13
+
14
+ # Model Card for Model ID
15
+
16
+ <!-- Provide a quick summary of what the model is/does. -->
17
+
18
+
19
+
20
+ ## Model Details
21
+
22
+ ### Model Description
23
+
24
+ <!-- Provide a longer summary of what this model is. -->
25
+
26
+
27
+
28
+ - **Developed by:** [More Information Needed]
29
+ - **Funded by [optional]:** [More Information Needed]
30
+ - **Shared by [optional]:** [More Information Needed]
31
+ - **Model type:** [More Information Needed]
32
+ - **Language(s) (NLP):** [More Information Needed]
33
+ - **License:** [More Information Needed]
34
+ - **Finetuned from model [optional]:** [More Information Needed]
35
+
36
+ ### Model Sources [optional]
37
+
38
+ <!-- Provide the basic links for the model. -->
39
+
40
+ - **Repository:** [More Information Needed]
41
+ - **Paper [optional]:** [More Information Needed]
42
+ - **Demo [optional]:** [More Information Needed]
43
+
44
+ ## Uses
45
+
46
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
47
+
48
+ ### Direct Use
49
+
50
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
51
+
52
+ [More Information Needed]
53
+
54
+ ### Downstream Use [optional]
55
+
56
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
57
+
58
+ [More Information Needed]
59
+
60
+ ### Out-of-Scope Use
61
+
62
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
63
+
64
+ [More Information Needed]
65
+
66
+ ## Bias, Risks, and Limitations
67
+
68
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
69
+
70
+ [More Information Needed]
71
+
72
+ ### Recommendations
73
+
74
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
75
+
76
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
77
+
78
+ ## How to Get Started with the Model
79
+
80
+ Use the code below to get started with the model.
81
+
82
+ [More Information Needed]
83
+
84
+ ## Training Details
85
+
86
+ ### Training Data
87
+
88
+ <!-- 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. -->
89
+
90
+ [More Information Needed]
91
+
92
+ ### Training Procedure
93
+
94
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
95
+
96
+ #### Preprocessing [optional]
97
+
98
+ [More Information Needed]
99
+
100
+
101
+ #### Training Hyperparameters
102
+
103
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
104
+
105
+ #### Speeds, Sizes, Times [optional]
106
+
107
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
108
+
109
+ [More Information Needed]
110
+
111
+ ## Evaluation
112
+
113
+ <!-- This section describes the evaluation protocols and provides the results. -->
114
+
115
+ ### Testing Data, Factors & Metrics
116
+
117
+ #### Testing Data
118
+
119
+ <!-- This should link to a Dataset Card if possible. -->
120
+
121
+ [More Information Needed]
122
+
123
+ #### Factors
124
+
125
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
126
+
127
+ [More Information Needed]
128
+
129
+ #### Metrics
130
+
131
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
132
+
133
+ [More Information Needed]
134
+
135
+ ### Results
136
+
137
+ [More Information Needed]
138
+
139
+ #### Summary
140
+
141
+
142
+
143
+ ## Model Examination [optional]
144
+
145
+ <!-- Relevant interpretability work for the model goes here -->
146
+
147
+ [More Information Needed]
148
+
149
+ ## Environmental Impact
150
+
151
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
152
+
153
+ 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).
154
+
155
+ - **Hardware Type:** [More Information Needed]
156
+ - **Hours used:** [More Information Needed]
157
+ - **Cloud Provider:** [More Information Needed]
158
+ - **Compute Region:** [More Information Needed]
159
+ - **Carbon Emitted:** [More Information Needed]
160
+
161
+ ## Technical Specifications [optional]
162
+
163
+ ### Model Architecture and Objective
164
+
165
+ [More Information Needed]
166
+
167
+ ### Compute Infrastructure
168
+
169
+ [More Information Needed]
170
+
171
+ #### Hardware
172
+
173
+ [More Information Needed]
174
+
175
+ #### Software
176
+
177
+ [More Information Needed]
178
+
179
+ ## Citation [optional]
180
+
181
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
182
+
183
+ **BibTeX:**
184
+
185
+ [More Information Needed]
186
+
187
+ **APA:**
188
+
189
+ [More Information Needed]
190
+
191
+ ## Glossary [optional]
192
+
193
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
194
+
195
+ [More Information Needed]
196
+
197
+ ## More Information [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Authors [optional]
202
+
203
+ [More Information Needed]
204
+
205
+ ## Model Card Contact
206
+
207
+ [More Information Needed]
208
+ ### Framework versions
209
+
210
+ - PEFT 0.18.1
seed0/checkpoint-450/adapter_config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": {
6
+ "base_model_class": "Qwen2ForCausalLM",
7
+ "parent_library": "transformers.models.qwen2.modeling_qwen2",
8
+ "unsloth_fixed": true
9
+ },
10
+ "base_model_name_or_path": "unsloth/Qwen2.5-7B-Instruct",
11
+ "bias": "none",
12
+ "corda_config": null,
13
+ "ensure_weight_tying": false,
14
+ "eva_config": null,
15
+ "exclude_modules": null,
16
+ "fan_in_fan_out": false,
17
+ "inference_mode": true,
18
+ "init_lora_weights": true,
19
+ "layer_replication": null,
20
+ "layers_pattern": null,
21
+ "layers_to_transform": null,
22
+ "loftq_config": {},
23
+ "lora_alpha": 8,
24
+ "lora_bias": false,
25
+ "lora_dropout": 0.0,
26
+ "megatron_config": null,
27
+ "megatron_core": "megatron.core",
28
+ "modules_to_save": null,
29
+ "peft_type": "LORA",
30
+ "peft_version": "0.18.1",
31
+ "qalora_group_size": 16,
32
+ "r": 8,
33
+ "rank_pattern": {},
34
+ "revision": null,
35
+ "target_modules": [
36
+ "k_proj",
37
+ "q_proj",
38
+ "o_proj",
39
+ "v_proj",
40
+ "gate_proj",
41
+ "up_proj",
42
+ "down_proj"
43
+ ],
44
+ "target_parameters": null,
45
+ "task_type": "CAUSAL_LM",
46
+ "trainable_token_indices": null,
47
+ "use_dora": false,
48
+ "use_qalora": false,
49
+ "use_rslora": false
50
+ }
seed0/checkpoint-450/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42b0d26c4076f19c7e0de458f5cf47eed10b4cd9dca0efca03eebf46552d4502
3
+ size 80792096
seed0/checkpoint-450/added_tokens.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|PAD_TOKEN|>": 151665,
5
+ "<|box_end|>": 151649,
6
+ "<|box_start|>": 151648,
7
+ "<|endoftext|>": 151643,
8
+ "<|file_sep|>": 151664,
9
+ "<|fim_middle|>": 151660,
10
+ "<|fim_pad|>": 151662,
11
+ "<|fim_prefix|>": 151659,
12
+ "<|fim_suffix|>": 151661,
13
+ "<|im_end|>": 151645,
14
+ "<|im_start|>": 151644,
15
+ "<|image_pad|>": 151655,
16
+ "<|object_ref_end|>": 151647,
17
+ "<|object_ref_start|>": 151646,
18
+ "<|quad_end|>": 151651,
19
+ "<|quad_start|>": 151650,
20
+ "<|repo_name|>": 151663,
21
+ "<|video_pad|>": 151656,
22
+ "<|vision_end|>": 151653,
23
+ "<|vision_pad|>": 151654,
24
+ "<|vision_start|>": 151652
25
+ }
seed0/checkpoint-450/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 %}
seed0/checkpoint-450/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
seed0/checkpoint-450/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:251fc3090f11d73954ca89b86fa421ba1fd5e96899dd7a7f26539cab8b6852e3
3
+ size 161816187
seed0/checkpoint-450/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4684d51fc75f779aa7923c633e4c75a716ac73280dc8e9335cb1439e364bde19
3
+ size 14581
seed0/checkpoint-450/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f0c417600902555152250bba10ce935c2c6d3fe485c34c75e46acbe8bae56ca
3
+ size 1465
seed0/checkpoint-450/special_tokens_map.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<|PAD_TOKEN|>"
25
+ }
seed0/checkpoint-450/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
3
+ size 11422086
seed0/checkpoint-450/tokenizer_config.json ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "151665": {
182
+ "content": "<|PAD_TOKEN|>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": true
188
+ }
189
+ },
190
+ "additional_special_tokens": [
191
+ "<|im_start|>",
192
+ "<|im_end|>",
193
+ "<|object_ref_start|>",
194
+ "<|object_ref_end|>",
195
+ "<|box_start|>",
196
+ "<|box_end|>",
197
+ "<|quad_start|>",
198
+ "<|quad_end|>",
199
+ "<|vision_start|>",
200
+ "<|vision_end|>",
201
+ "<|vision_pad|>",
202
+ "<|image_pad|>",
203
+ "<|video_pad|>"
204
+ ],
205
+ "bos_token": null,
206
+ "clean_up_tokenization_spaces": false,
207
+ "eos_token": "<|im_end|>",
208
+ "errors": "replace",
209
+ "extra_special_tokens": {},
210
+ "model_max_length": 32768,
211
+ "pad_token": "<|PAD_TOKEN|>",
212
+ "padding_side": "right",
213
+ "split_special_tokens": false,
214
+ "tokenizer_class": "Qwen2Tokenizer",
215
+ "unk_token": null
216
+ }
seed0/checkpoint-450/trainer_state.json ADDED
@@ -0,0 +1,3184 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.9626373626373628,
6
+ "eval_steps": 500,
7
+ "global_step": 450,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.006593406593406593,
14
+ "grad_norm": 1.0287306308746338,
15
+ "learning_rate": 0.0,
16
+ "loss": 1.084,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.013186813186813187,
21
+ "grad_norm": 0.948112428188324,
22
+ "learning_rate": 9.56e-05,
23
+ "loss": 1.0638,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.01978021978021978,
28
+ "grad_norm": 1.0350998640060425,
29
+ "learning_rate": 0.0001912,
30
+ "loss": 1.143,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.026373626373626374,
35
+ "grad_norm": 1.1360750198364258,
36
+ "learning_rate": 0.0002868,
37
+ "loss": 1.0394,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.03296703296703297,
42
+ "grad_norm": 0.7310333251953125,
43
+ "learning_rate": 0.0003824,
44
+ "loss": 0.8949,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.03956043956043956,
49
+ "grad_norm": 0.6246419548988342,
50
+ "learning_rate": 0.000478,
51
+ "loss": 0.9157,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.046153846153846156,
56
+ "grad_norm": 0.5591331720352173,
57
+ "learning_rate": 0.00047694013303769406,
58
+ "loss": 0.9064,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.05274725274725275,
63
+ "grad_norm": 0.411284863948822,
64
+ "learning_rate": 0.00047588026607538804,
65
+ "loss": 0.8349,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.05934065934065934,
70
+ "grad_norm": 0.30876654386520386,
71
+ "learning_rate": 0.0004748203991130821,
72
+ "loss": 0.8626,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.06593406593406594,
77
+ "grad_norm": 0.39697328209877014,
78
+ "learning_rate": 0.00047376053215077607,
79
+ "loss": 0.8347,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.07252747252747253,
84
+ "grad_norm": 0.3990109860897064,
85
+ "learning_rate": 0.00047270066518847006,
86
+ "loss": 0.8383,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.07912087912087912,
91
+ "grad_norm": 0.3827734589576721,
92
+ "learning_rate": 0.0004716407982261641,
93
+ "loss": 0.7593,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.08571428571428572,
98
+ "grad_norm": 0.5764995217323303,
99
+ "learning_rate": 0.00047058093126385814,
100
+ "loss": 0.7725,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.09230769230769231,
105
+ "grad_norm": 0.5014582276344299,
106
+ "learning_rate": 0.0004695210643015521,
107
+ "loss": 0.7577,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.0989010989010989,
112
+ "grad_norm": 0.4466342628002167,
113
+ "learning_rate": 0.00046846119733924617,
114
+ "loss": 0.7279,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.1054945054945055,
119
+ "grad_norm": 0.3709656894207001,
120
+ "learning_rate": 0.00046740133037694015,
121
+ "loss": 0.7577,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.11208791208791209,
126
+ "grad_norm": 0.5953618288040161,
127
+ "learning_rate": 0.00046634146341463414,
128
+ "loss": 0.8038,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.11868131868131868,
133
+ "grad_norm": 0.43582218885421753,
134
+ "learning_rate": 0.0004652815964523282,
135
+ "loss": 0.7836,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.12527472527472527,
140
+ "grad_norm": 0.35281723737716675,
141
+ "learning_rate": 0.0004642217294900222,
142
+ "loss": 0.7541,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.13186813186813187,
147
+ "grad_norm": 0.4125503897666931,
148
+ "learning_rate": 0.0004631618625277162,
149
+ "loss": 0.7476,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.13846153846153847,
154
+ "grad_norm": 0.3566338121891022,
155
+ "learning_rate": 0.00046210199556541025,
156
+ "loss": 0.6958,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.14505494505494507,
161
+ "grad_norm": 0.3785325884819031,
162
+ "learning_rate": 0.00046104212860310423,
163
+ "loss": 0.7827,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.15164835164835164,
168
+ "grad_norm": 0.3147861659526825,
169
+ "learning_rate": 0.0004599822616407982,
170
+ "loss": 0.7631,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.15824175824175823,
175
+ "grad_norm": 0.4547198712825775,
176
+ "learning_rate": 0.00045892239467849226,
177
+ "loss": 0.7453,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.16483516483516483,
182
+ "grad_norm": 0.3506404459476471,
183
+ "learning_rate": 0.0004578625277161863,
184
+ "loss": 0.7397,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.17142857142857143,
189
+ "grad_norm": 0.35579541325569153,
190
+ "learning_rate": 0.0004568026607538803,
191
+ "loss": 0.8032,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.17802197802197803,
196
+ "grad_norm": 0.35984915494918823,
197
+ "learning_rate": 0.00045574279379157433,
198
+ "loss": 0.6869,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.18461538461538463,
203
+ "grad_norm": 0.3912736177444458,
204
+ "learning_rate": 0.00045468292682926826,
205
+ "loss": 0.7423,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.1912087912087912,
210
+ "grad_norm": 0.3313451111316681,
211
+ "learning_rate": 0.0004536230598669623,
212
+ "loss": 0.826,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.1978021978021978,
217
+ "grad_norm": 0.3460421860218048,
218
+ "learning_rate": 0.00045256319290465634,
219
+ "loss": 0.7155,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.2043956043956044,
224
+ "grad_norm": 0.42073190212249756,
225
+ "learning_rate": 0.00045150332594235033,
226
+ "loss": 0.7308,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.210989010989011,
231
+ "grad_norm": 0.3369511067867279,
232
+ "learning_rate": 0.00045044345898004437,
233
+ "loss": 0.7529,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.2175824175824176,
238
+ "grad_norm": 0.3326997756958008,
239
+ "learning_rate": 0.0004493835920177384,
240
+ "loss": 0.7098,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.22417582417582418,
245
+ "grad_norm": 0.3323321044445038,
246
+ "learning_rate": 0.00044832372505543234,
247
+ "loss": 0.7104,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.23076923076923078,
252
+ "grad_norm": 0.365688294172287,
253
+ "learning_rate": 0.0004472638580931264,
254
+ "loss": 0.6777,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.23736263736263735,
259
+ "grad_norm": 0.4034178853034973,
260
+ "learning_rate": 0.0004462039911308204,
261
+ "loss": 0.7655,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.24395604395604395,
266
+ "grad_norm": 0.4079640209674835,
267
+ "learning_rate": 0.0004451441241685144,
268
+ "loss": 0.6348,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.25054945054945055,
273
+ "grad_norm": 0.35669246315956116,
274
+ "learning_rate": 0.00044408425720620845,
275
+ "loss": 0.7146,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.2571428571428571,
280
+ "grad_norm": 0.4017118513584137,
281
+ "learning_rate": 0.0004430243902439025,
282
+ "loss": 0.8002,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.26373626373626374,
287
+ "grad_norm": 0.37425458431243896,
288
+ "learning_rate": 0.0004419645232815964,
289
+ "loss": 0.6953,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.2703296703296703,
294
+ "grad_norm": 0.3201092779636383,
295
+ "learning_rate": 0.00044090465631929047,
296
+ "loss": 0.6991,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.27692307692307694,
301
+ "grad_norm": 0.3773852288722992,
302
+ "learning_rate": 0.0004398447893569845,
303
+ "loss": 0.7467,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.2835164835164835,
308
+ "grad_norm": 0.2974673807621002,
309
+ "learning_rate": 0.0004387849223946785,
310
+ "loss": 0.7288,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.29010989010989013,
315
+ "grad_norm": 0.30199432373046875,
316
+ "learning_rate": 0.00043772505543237253,
317
+ "loss": 0.7304,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.2967032967032967,
322
+ "grad_norm": 0.3696371018886566,
323
+ "learning_rate": 0.0004366651884700666,
324
+ "loss": 0.7752,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.3032967032967033,
329
+ "grad_norm": 0.3928535282611847,
330
+ "learning_rate": 0.0004356053215077605,
331
+ "loss": 0.6959,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.3098901098901099,
336
+ "grad_norm": 0.3518235683441162,
337
+ "learning_rate": 0.00043454545454545455,
338
+ "loss": 0.7344,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.31648351648351647,
343
+ "grad_norm": 0.3202143907546997,
344
+ "learning_rate": 0.0004334855875831486,
345
+ "loss": 0.7144,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.3230769230769231,
350
+ "grad_norm": 0.39293670654296875,
351
+ "learning_rate": 0.0004324257206208426,
352
+ "loss": 0.7044,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.32967032967032966,
357
+ "grad_norm": 0.42684948444366455,
358
+ "learning_rate": 0.0004313658536585366,
359
+ "loss": 0.7236,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.3362637362637363,
364
+ "grad_norm": 0.4143947958946228,
365
+ "learning_rate": 0.00043030598669623066,
366
+ "loss": 0.687,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.34285714285714286,
371
+ "grad_norm": 0.46073058247566223,
372
+ "learning_rate": 0.0004292461197339246,
373
+ "loss": 0.7201,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.34945054945054943,
378
+ "grad_norm": 0.38219717144966125,
379
+ "learning_rate": 0.00042818625277161863,
380
+ "loss": 0.7589,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.35604395604395606,
385
+ "grad_norm": 0.27848541736602783,
386
+ "learning_rate": 0.00042712638580931267,
387
+ "loss": 0.7208,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.3626373626373626,
392
+ "grad_norm": 0.2882401943206787,
393
+ "learning_rate": 0.00042606651884700666,
394
+ "loss": 0.7121,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.36923076923076925,
399
+ "grad_norm": 0.3918374180793762,
400
+ "learning_rate": 0.0004250066518847007,
401
+ "loss": 0.6783,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.3758241758241758,
406
+ "grad_norm": 0.3108501732349396,
407
+ "learning_rate": 0.00042394678492239474,
408
+ "loss": 0.7249,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.3824175824175824,
413
+ "grad_norm": 0.31900638341903687,
414
+ "learning_rate": 0.00042288691796008867,
415
+ "loss": 0.725,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.389010989010989,
420
+ "grad_norm": 0.4268058240413666,
421
+ "learning_rate": 0.0004218270509977827,
422
+ "loss": 0.7717,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.3956043956043956,
427
+ "grad_norm": 0.3654431700706482,
428
+ "learning_rate": 0.00042076718403547675,
429
+ "loss": 0.7369,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.4021978021978022,
434
+ "grad_norm": 0.3035155236721039,
435
+ "learning_rate": 0.00041970731707317074,
436
+ "loss": 0.6962,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.4087912087912088,
441
+ "grad_norm": 0.3147648870944977,
442
+ "learning_rate": 0.0004186474501108648,
443
+ "loss": 0.7239,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.4153846153846154,
448
+ "grad_norm": 0.30889788269996643,
449
+ "learning_rate": 0.0004175875831485588,
450
+ "loss": 0.7697,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.421978021978022,
455
+ "grad_norm": 0.29330822825431824,
456
+ "learning_rate": 0.00041652771618625275,
457
+ "loss": 0.7438,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.42857142857142855,
462
+ "grad_norm": 0.3334480822086334,
463
+ "learning_rate": 0.0004154678492239468,
464
+ "loss": 0.6889,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.4351648351648352,
469
+ "grad_norm": 0.29151853919029236,
470
+ "learning_rate": 0.00041440798226164083,
471
+ "loss": 0.6632,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.44175824175824174,
476
+ "grad_norm": 0.38440635800361633,
477
+ "learning_rate": 0.0004133481152993348,
478
+ "loss": 0.7305,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.44835164835164837,
483
+ "grad_norm": 0.32712990045547485,
484
+ "learning_rate": 0.00041228824833702886,
485
+ "loss": 0.8122,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.45494505494505494,
490
+ "grad_norm": 0.37737423181533813,
491
+ "learning_rate": 0.00041122838137472285,
492
+ "loss": 0.6368,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.46153846153846156,
497
+ "grad_norm": 0.3335571885108948,
498
+ "learning_rate": 0.00041016851441241683,
499
+ "loss": 0.6586,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.46813186813186813,
504
+ "grad_norm": 0.3446078598499298,
505
+ "learning_rate": 0.00040910864745011087,
506
+ "loss": 0.7299,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.4747252747252747,
511
+ "grad_norm": 0.30252110958099365,
512
+ "learning_rate": 0.00040804878048780486,
513
+ "loss": 0.7084,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.48131868131868133,
518
+ "grad_norm": 0.23997364938259125,
519
+ "learning_rate": 0.0004069889135254989,
520
+ "loss": 0.7479,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.4879120879120879,
525
+ "grad_norm": 0.3268393576145172,
526
+ "learning_rate": 0.00040592904656319294,
527
+ "loss": 0.7417,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.4945054945054945,
532
+ "grad_norm": 0.2819831371307373,
533
+ "learning_rate": 0.0004048691796008869,
534
+ "loss": 0.7691,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.5010989010989011,
539
+ "grad_norm": 0.3438951075077057,
540
+ "learning_rate": 0.00040380931263858097,
541
+ "loss": 0.7447,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.5076923076923077,
546
+ "grad_norm": 0.34539034962654114,
547
+ "learning_rate": 0.00040274944567627495,
548
+ "loss": 0.7299,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.5142857142857142,
553
+ "grad_norm": 0.39309996366500854,
554
+ "learning_rate": 0.00040168957871396894,
555
+ "loss": 0.7103,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.5208791208791209,
560
+ "grad_norm": 0.4111672341823578,
561
+ "learning_rate": 0.000400629711751663,
562
+ "loss": 0.7175,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.5274725274725275,
567
+ "grad_norm": 0.35200831294059753,
568
+ "learning_rate": 0.000399569844789357,
569
+ "loss": 0.7914,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.5340659340659341,
574
+ "grad_norm": 0.3106718063354492,
575
+ "learning_rate": 0.000398509977827051,
576
+ "loss": 0.7064,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.5406593406593406,
581
+ "grad_norm": 0.40410006046295166,
582
+ "learning_rate": 0.00039745011086474505,
583
+ "loss": 0.7015,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.5472527472527473,
588
+ "grad_norm": 0.3284229338169098,
589
+ "learning_rate": 0.00039639024390243904,
590
+ "loss": 0.7696,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.5538461538461539,
595
+ "grad_norm": 0.2930781841278076,
596
+ "learning_rate": 0.000395330376940133,
597
+ "loss": 0.6839,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.5604395604395604,
602
+ "grad_norm": 0.4067613184452057,
603
+ "learning_rate": 0.00039427050997782706,
604
+ "loss": 0.7693,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.567032967032967,
609
+ "grad_norm": 0.39632725715637207,
610
+ "learning_rate": 0.0003932106430155211,
611
+ "loss": 0.776,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.5736263736263736,
616
+ "grad_norm": 0.3314855992794037,
617
+ "learning_rate": 0.0003921507760532151,
618
+ "loss": 0.7207,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.5802197802197803,
623
+ "grad_norm": 0.3370056748390198,
624
+ "learning_rate": 0.00039109090909090913,
625
+ "loss": 0.7828,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.5868131868131868,
630
+ "grad_norm": 0.3866356313228607,
631
+ "learning_rate": 0.0003900310421286031,
632
+ "loss": 0.7538,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.5934065934065934,
637
+ "grad_norm": 0.3172929883003235,
638
+ "learning_rate": 0.0003889711751662971,
639
+ "loss": 0.7807,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.6,
644
+ "grad_norm": 0.32534992694854736,
645
+ "learning_rate": 0.00038791130820399114,
646
+ "loss": 0.7072,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.6065934065934065,
651
+ "grad_norm": 0.26510292291641235,
652
+ "learning_rate": 0.0003868514412416852,
653
+ "loss": 0.6967,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.6131868131868132,
658
+ "grad_norm": 0.29210713505744934,
659
+ "learning_rate": 0.00038579157427937917,
660
+ "loss": 0.6601,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.6197802197802198,
665
+ "grad_norm": 0.3541831374168396,
666
+ "learning_rate": 0.0003847317073170732,
667
+ "loss": 0.7131,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.6263736263736264,
672
+ "grad_norm": 0.3541385531425476,
673
+ "learning_rate": 0.0003836718403547672,
674
+ "loss": 0.7248,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.6329670329670329,
679
+ "grad_norm": 0.3337606191635132,
680
+ "learning_rate": 0.0003826119733924612,
681
+ "loss": 0.7652,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.6395604395604395,
686
+ "grad_norm": 0.33775588870048523,
687
+ "learning_rate": 0.0003815521064301552,
688
+ "loss": 0.7818,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.6461538461538462,
693
+ "grad_norm": 0.3222000300884247,
694
+ "learning_rate": 0.00038049223946784927,
695
+ "loss": 0.733,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.6527472527472528,
700
+ "grad_norm": 0.3088921904563904,
701
+ "learning_rate": 0.00037943237250554325,
702
+ "loss": 0.6638,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.6593406593406593,
707
+ "grad_norm": 0.2936277687549591,
708
+ "learning_rate": 0.0003783725055432373,
709
+ "loss": 0.7121,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.6659340659340659,
714
+ "grad_norm": 0.26708656549453735,
715
+ "learning_rate": 0.0003773126385809313,
716
+ "loss": 0.7353,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 0.6725274725274726,
721
+ "grad_norm": 0.29909640550613403,
722
+ "learning_rate": 0.00037625277161862527,
723
+ "loss": 0.7214,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 0.6791208791208792,
728
+ "grad_norm": 0.30008482933044434,
729
+ "learning_rate": 0.0003751929046563193,
730
+ "loss": 0.7365,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 0.6857142857142857,
735
+ "grad_norm": 0.38386833667755127,
736
+ "learning_rate": 0.00037413303769401335,
737
+ "loss": 0.7514,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 0.6923076923076923,
742
+ "grad_norm": 0.3135545253753662,
743
+ "learning_rate": 0.00037307317073170733,
744
+ "loss": 0.6882,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 0.6989010989010989,
749
+ "grad_norm": 0.31808924674987793,
750
+ "learning_rate": 0.0003720133037694014,
751
+ "loss": 0.744,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 0.7054945054945055,
756
+ "grad_norm": 0.30010560154914856,
757
+ "learning_rate": 0.00037095343680709536,
758
+ "loss": 0.6816,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 0.7120879120879121,
763
+ "grad_norm": 0.31569167971611023,
764
+ "learning_rate": 0.00036989356984478935,
765
+ "loss": 0.7064,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 0.7186813186813187,
770
+ "grad_norm": 0.30984246730804443,
771
+ "learning_rate": 0.0003688337028824834,
772
+ "loss": 0.7154,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 0.7252747252747253,
777
+ "grad_norm": 0.286091685295105,
778
+ "learning_rate": 0.0003677738359201774,
779
+ "loss": 0.701,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 0.7318681318681318,
784
+ "grad_norm": 0.3322799503803253,
785
+ "learning_rate": 0.0003667139689578714,
786
+ "loss": 0.6629,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 0.7384615384615385,
791
+ "grad_norm": 0.32251879572868347,
792
+ "learning_rate": 0.00036565410199556546,
793
+ "loss": 0.7101,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 0.7450549450549451,
798
+ "grad_norm": 0.3163260221481323,
799
+ "learning_rate": 0.0003645942350332594,
800
+ "loss": 0.7318,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 0.7516483516483516,
805
+ "grad_norm": 0.35563021898269653,
806
+ "learning_rate": 0.00036353436807095343,
807
+ "loss": 0.6708,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 0.7582417582417582,
812
+ "grad_norm": 0.3295123875141144,
813
+ "learning_rate": 0.00036247450110864747,
814
+ "loss": 0.7531,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 0.7648351648351648,
819
+ "grad_norm": 0.3174284100532532,
820
+ "learning_rate": 0.00036141463414634146,
821
+ "loss": 0.6435,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 0.7714285714285715,
826
+ "grad_norm": 0.3112541139125824,
827
+ "learning_rate": 0.0003603547671840355,
828
+ "loss": 0.7079,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 0.778021978021978,
833
+ "grad_norm": 0.2765205204486847,
834
+ "learning_rate": 0.00035929490022172954,
835
+ "loss": 0.7399,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 0.7846153846153846,
840
+ "grad_norm": 0.4011540412902832,
841
+ "learning_rate": 0.00035823503325942347,
842
+ "loss": 0.7471,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 0.7912087912087912,
847
+ "grad_norm": 0.3467070758342743,
848
+ "learning_rate": 0.0003571751662971175,
849
+ "loss": 0.749,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 0.7978021978021979,
854
+ "grad_norm": 0.322721391916275,
855
+ "learning_rate": 0.00035611529933481155,
856
+ "loss": 0.6992,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 0.8043956043956044,
861
+ "grad_norm": 0.3257431089878082,
862
+ "learning_rate": 0.00035505543237250554,
863
+ "loss": 0.7448,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 0.810989010989011,
868
+ "grad_norm": 0.3538271188735962,
869
+ "learning_rate": 0.0003539955654101996,
870
+ "loss": 0.7202,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 0.8175824175824176,
875
+ "grad_norm": 0.33168667554855347,
876
+ "learning_rate": 0.0003529356984478936,
877
+ "loss": 0.7521,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 0.8241758241758241,
882
+ "grad_norm": 0.3086656630039215,
883
+ "learning_rate": 0.00035187583148558755,
884
+ "loss": 0.6933,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 0.8307692307692308,
889
+ "grad_norm": 0.29101550579071045,
890
+ "learning_rate": 0.0003508159645232816,
891
+ "loss": 0.6807,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 0.8373626373626374,
896
+ "grad_norm": 0.31047967076301575,
897
+ "learning_rate": 0.00034975609756097563,
898
+ "loss": 0.7028,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 0.843956043956044,
903
+ "grad_norm": 0.4100898206233978,
904
+ "learning_rate": 0.0003486962305986696,
905
+ "loss": 0.7063,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 0.8505494505494505,
910
+ "grad_norm": 0.3553723096847534,
911
+ "learning_rate": 0.00034763636363636366,
912
+ "loss": 0.6585,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 0.8571428571428571,
917
+ "grad_norm": 0.34842953085899353,
918
+ "learning_rate": 0.0003465764966740577,
919
+ "loss": 0.6551,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 0.8637362637362638,
924
+ "grad_norm": 0.29668596386909485,
925
+ "learning_rate": 0.00034551662971175163,
926
+ "loss": 0.7625,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 0.8703296703296703,
931
+ "grad_norm": 0.32529106736183167,
932
+ "learning_rate": 0.00034445676274944567,
933
+ "loss": 0.6823,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 0.8769230769230769,
938
+ "grad_norm": 0.3435796797275543,
939
+ "learning_rate": 0.0003433968957871397,
940
+ "loss": 0.7695,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 0.8835164835164835,
945
+ "grad_norm": 0.360817015171051,
946
+ "learning_rate": 0.0003423370288248337,
947
+ "loss": 0.718,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 0.8901098901098901,
952
+ "grad_norm": 0.37331467866897583,
953
+ "learning_rate": 0.00034127716186252774,
954
+ "loss": 0.7678,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 0.8967032967032967,
959
+ "grad_norm": 0.29934585094451904,
960
+ "learning_rate": 0.0003402172949002218,
961
+ "loss": 0.7433,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 0.9032967032967033,
966
+ "grad_norm": 0.29423919320106506,
967
+ "learning_rate": 0.00033915742793791577,
968
+ "loss": 0.7844,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 0.9098901098901099,
973
+ "grad_norm": 0.2784546911716461,
974
+ "learning_rate": 0.00033809756097560975,
975
+ "loss": 0.6756,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 0.9164835164835164,
980
+ "grad_norm": 0.3294104039669037,
981
+ "learning_rate": 0.0003370376940133038,
982
+ "loss": 0.7055,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 0.9230769230769231,
987
+ "grad_norm": 0.32865482568740845,
988
+ "learning_rate": 0.0003359778270509978,
989
+ "loss": 0.6911,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 0.9296703296703297,
994
+ "grad_norm": 0.28258049488067627,
995
+ "learning_rate": 0.0003349179600886918,
996
+ "loss": 0.6967,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 0.9362637362637363,
1001
+ "grad_norm": 0.34952202439308167,
1002
+ "learning_rate": 0.00033385809312638586,
1003
+ "loss": 0.7296,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 0.9428571428571428,
1008
+ "grad_norm": 0.32775378227233887,
1009
+ "learning_rate": 0.00033279822616407985,
1010
+ "loss": 0.7261,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 0.9494505494505494,
1015
+ "grad_norm": 0.34333598613739014,
1016
+ "learning_rate": 0.00033173835920177384,
1017
+ "loss": 0.6252,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 0.9560439560439561,
1022
+ "grad_norm": 0.3044952154159546,
1023
+ "learning_rate": 0.0003306784922394679,
1024
+ "loss": 0.7971,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 0.9626373626373627,
1029
+ "grad_norm": 0.3026304244995117,
1030
+ "learning_rate": 0.00032961862527716186,
1031
+ "loss": 0.7358,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 0.9692307692307692,
1036
+ "grad_norm": 0.32202282547950745,
1037
+ "learning_rate": 0.0003285587583148559,
1038
+ "loss": 0.7518,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 0.9758241758241758,
1043
+ "grad_norm": 0.28900209069252014,
1044
+ "learning_rate": 0.00032749889135254994,
1045
+ "loss": 0.7378,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 0.9824175824175824,
1050
+ "grad_norm": 0.30475756525993347,
1051
+ "learning_rate": 0.00032643902439024393,
1052
+ "loss": 0.6967,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 0.989010989010989,
1057
+ "grad_norm": 0.27916035056114197,
1058
+ "learning_rate": 0.0003253791574279379,
1059
+ "loss": 0.7024,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 0.9956043956043956,
1064
+ "grad_norm": 0.2913808226585388,
1065
+ "learning_rate": 0.0003243192904656319,
1066
+ "loss": 0.7749,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 1.0,
1071
+ "grad_norm": 0.3602457344532013,
1072
+ "learning_rate": 0.00032325942350332594,
1073
+ "loss": 0.7215,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 1.0065934065934066,
1078
+ "grad_norm": 0.2920915186405182,
1079
+ "learning_rate": 0.00032219955654102,
1080
+ "loss": 0.6784,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 1.0131868131868131,
1085
+ "grad_norm": 0.3847486674785614,
1086
+ "learning_rate": 0.00032113968957871397,
1087
+ "loss": 0.7006,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 1.0197802197802197,
1092
+ "grad_norm": 0.3039335608482361,
1093
+ "learning_rate": 0.000320079822616408,
1094
+ "loss": 0.7179,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 1.0263736263736263,
1099
+ "grad_norm": 0.37524399161338806,
1100
+ "learning_rate": 0.000319019955654102,
1101
+ "loss": 0.6545,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 1.032967032967033,
1106
+ "grad_norm": 0.4635438024997711,
1107
+ "learning_rate": 0.000317960088691796,
1108
+ "loss": 0.6507,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 1.0395604395604396,
1113
+ "grad_norm": 0.3045228123664856,
1114
+ "learning_rate": 0.00031690022172949,
1115
+ "loss": 0.626,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 1.0461538461538462,
1120
+ "grad_norm": 0.3595406413078308,
1121
+ "learning_rate": 0.00031584035476718407,
1122
+ "loss": 0.6734,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 1.0527472527472528,
1127
+ "grad_norm": 0.3613088130950928,
1128
+ "learning_rate": 0.00031478048780487805,
1129
+ "loss": 0.6549,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 1.0593406593406594,
1134
+ "grad_norm": 0.3239917457103729,
1135
+ "learning_rate": 0.0003137206208425721,
1136
+ "loss": 0.6908,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 1.065934065934066,
1141
+ "grad_norm": 0.29154351353645325,
1142
+ "learning_rate": 0.0003126607538802661,
1143
+ "loss": 0.6391,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 1.0725274725274725,
1148
+ "grad_norm": 0.3466133177280426,
1149
+ "learning_rate": 0.00031160088691796007,
1150
+ "loss": 0.6487,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 1.079120879120879,
1155
+ "grad_norm": 0.3646586537361145,
1156
+ "learning_rate": 0.0003105410199556541,
1157
+ "loss": 0.6962,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 1.0857142857142856,
1162
+ "grad_norm": 0.33777064085006714,
1163
+ "learning_rate": 0.00030948115299334815,
1164
+ "loss": 0.6735,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 1.0923076923076924,
1169
+ "grad_norm": 0.3152996301651001,
1170
+ "learning_rate": 0.00030842128603104213,
1171
+ "loss": 0.654,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 1.098901098901099,
1176
+ "grad_norm": 0.36545827984809875,
1177
+ "learning_rate": 0.0003073614190687362,
1178
+ "loss": 0.6566,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 1.1054945054945056,
1183
+ "grad_norm": 0.3125882148742676,
1184
+ "learning_rate": 0.00030630155210643016,
1185
+ "loss": 0.624,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 1.1120879120879121,
1190
+ "grad_norm": 0.3677145540714264,
1191
+ "learning_rate": 0.00030524168514412415,
1192
+ "loss": 0.6399,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 1.1186813186813187,
1197
+ "grad_norm": 0.37805038690567017,
1198
+ "learning_rate": 0.0003041818181818182,
1199
+ "loss": 0.6356,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 1.1252747252747253,
1204
+ "grad_norm": 0.36514320969581604,
1205
+ "learning_rate": 0.00030312195121951223,
1206
+ "loss": 0.6121,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 1.1318681318681318,
1211
+ "grad_norm": 0.3287840187549591,
1212
+ "learning_rate": 0.0003020620842572062,
1213
+ "loss": 0.6713,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 1.1384615384615384,
1218
+ "grad_norm": 0.3480997085571289,
1219
+ "learning_rate": 0.00030100221729490026,
1220
+ "loss": 0.674,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 1.145054945054945,
1225
+ "grad_norm": 0.364396333694458,
1226
+ "learning_rate": 0.00029994235033259424,
1227
+ "loss": 0.6572,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 1.1516483516483516,
1232
+ "grad_norm": 0.4812280833721161,
1233
+ "learning_rate": 0.00029888248337028823,
1234
+ "loss": 0.6594,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 1.1582417582417581,
1239
+ "grad_norm": 0.3395230174064636,
1240
+ "learning_rate": 0.00029782261640798227,
1241
+ "loss": 0.6338,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 1.164835164835165,
1246
+ "grad_norm": 0.41288211941719055,
1247
+ "learning_rate": 0.0002967627494456763,
1248
+ "loss": 0.6237,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 1.1714285714285715,
1253
+ "grad_norm": 0.47372809052467346,
1254
+ "learning_rate": 0.0002957028824833703,
1255
+ "loss": 0.6469,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 1.178021978021978,
1260
+ "grad_norm": 0.41541212797164917,
1261
+ "learning_rate": 0.00029464301552106434,
1262
+ "loss": 0.6521,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 1.1846153846153846,
1267
+ "grad_norm": 0.43474531173706055,
1268
+ "learning_rate": 0.0002935831485587583,
1269
+ "loss": 0.6616,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 1.1912087912087912,
1274
+ "grad_norm": 0.41923409700393677,
1275
+ "learning_rate": 0.0002925232815964523,
1276
+ "loss": 0.6552,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 1.1978021978021978,
1281
+ "grad_norm": 0.3597162663936615,
1282
+ "learning_rate": 0.00029146341463414635,
1283
+ "loss": 0.6857,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 1.2043956043956043,
1288
+ "grad_norm": 0.35165292024612427,
1289
+ "learning_rate": 0.0002904035476718404,
1290
+ "loss": 0.6487,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 1.210989010989011,
1295
+ "grad_norm": 0.4463621973991394,
1296
+ "learning_rate": 0.0002893436807095344,
1297
+ "loss": 0.638,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 1.2175824175824177,
1302
+ "grad_norm": 0.3660702109336853,
1303
+ "learning_rate": 0.0002882838137472284,
1304
+ "loss": 0.6647,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 1.2241758241758243,
1309
+ "grad_norm": 0.3571101725101471,
1310
+ "learning_rate": 0.0002872239467849224,
1311
+ "loss": 0.6036,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 1.2307692307692308,
1316
+ "grad_norm": 0.4000444710254669,
1317
+ "learning_rate": 0.0002861640798226164,
1318
+ "loss": 0.6574,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 1.2373626373626374,
1323
+ "grad_norm": 0.3966808617115021,
1324
+ "learning_rate": 0.00028510421286031043,
1325
+ "loss": 0.6383,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 1.243956043956044,
1330
+ "grad_norm": 0.35577499866485596,
1331
+ "learning_rate": 0.0002840443458980045,
1332
+ "loss": 0.6826,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 1.2505494505494505,
1337
+ "grad_norm": 0.3344907760620117,
1338
+ "learning_rate": 0.00028298447893569846,
1339
+ "loss": 0.7203,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 1.2571428571428571,
1344
+ "grad_norm": 0.3684915602207184,
1345
+ "learning_rate": 0.0002819246119733925,
1346
+ "loss": 0.6001,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 1.2637362637362637,
1351
+ "grad_norm": 0.35198649764060974,
1352
+ "learning_rate": 0.00028086474501108643,
1353
+ "loss": 0.6132,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 1.2703296703296703,
1358
+ "grad_norm": 0.3658265471458435,
1359
+ "learning_rate": 0.0002798048780487805,
1360
+ "loss": 0.649,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 1.2769230769230768,
1365
+ "grad_norm": 0.3490952253341675,
1366
+ "learning_rate": 0.0002787450110864745,
1367
+ "loss": 0.6074,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 1.2835164835164834,
1372
+ "grad_norm": 0.3784042000770569,
1373
+ "learning_rate": 0.0002776851441241685,
1374
+ "loss": 0.7177,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 1.2901098901098902,
1379
+ "grad_norm": 0.3963486850261688,
1380
+ "learning_rate": 0.00027662527716186254,
1381
+ "loss": 0.6297,
1382
+ "step": 196
1383
+ },
1384
+ {
1385
+ "epoch": 1.2967032967032968,
1386
+ "grad_norm": 0.37558165192604065,
1387
+ "learning_rate": 0.0002755654101995566,
1388
+ "loss": 0.6504,
1389
+ "step": 197
1390
+ },
1391
+ {
1392
+ "epoch": 1.3032967032967033,
1393
+ "grad_norm": 0.4022054672241211,
1394
+ "learning_rate": 0.0002745055432372505,
1395
+ "loss": 0.6671,
1396
+ "step": 198
1397
+ },
1398
+ {
1399
+ "epoch": 1.30989010989011,
1400
+ "grad_norm": 0.3610709011554718,
1401
+ "learning_rate": 0.00027344567627494455,
1402
+ "loss": 0.6391,
1403
+ "step": 199
1404
+ },
1405
+ {
1406
+ "epoch": 1.3164835164835165,
1407
+ "grad_norm": 0.3770296573638916,
1408
+ "learning_rate": 0.0002723858093126386,
1409
+ "loss": 0.7025,
1410
+ "step": 200
1411
+ },
1412
+ {
1413
+ "epoch": 1.323076923076923,
1414
+ "grad_norm": 0.36008888483047485,
1415
+ "learning_rate": 0.0002713259423503326,
1416
+ "loss": 0.7433,
1417
+ "step": 201
1418
+ },
1419
+ {
1420
+ "epoch": 1.3296703296703296,
1421
+ "grad_norm": 0.32775282859802246,
1422
+ "learning_rate": 0.0002702660753880266,
1423
+ "loss": 0.6594,
1424
+ "step": 202
1425
+ },
1426
+ {
1427
+ "epoch": 1.3362637362637364,
1428
+ "grad_norm": 0.3801479935646057,
1429
+ "learning_rate": 0.00026920620842572066,
1430
+ "loss": 0.7221,
1431
+ "step": 203
1432
+ },
1433
+ {
1434
+ "epoch": 1.342857142857143,
1435
+ "grad_norm": 0.38986077904701233,
1436
+ "learning_rate": 0.00026814634146341465,
1437
+ "loss": 0.7284,
1438
+ "step": 204
1439
+ },
1440
+ {
1441
+ "epoch": 1.3494505494505495,
1442
+ "grad_norm": 0.37275534868240356,
1443
+ "learning_rate": 0.00026708647450110864,
1444
+ "loss": 0.7326,
1445
+ "step": 205
1446
+ },
1447
+ {
1448
+ "epoch": 1.3560439560439561,
1449
+ "grad_norm": 0.44164395332336426,
1450
+ "learning_rate": 0.0002660266075388027,
1451
+ "loss": 0.668,
1452
+ "step": 206
1453
+ },
1454
+ {
1455
+ "epoch": 1.3626373626373627,
1456
+ "grad_norm": 0.4948090612888336,
1457
+ "learning_rate": 0.00026496674057649666,
1458
+ "loss": 0.6547,
1459
+ "step": 207
1460
+ },
1461
+ {
1462
+ "epoch": 1.3692307692307693,
1463
+ "grad_norm": 0.36464622616767883,
1464
+ "learning_rate": 0.0002639068736141907,
1465
+ "loss": 0.7022,
1466
+ "step": 208
1467
+ },
1468
+ {
1469
+ "epoch": 1.3758241758241758,
1470
+ "grad_norm": 0.3787488639354706,
1471
+ "learning_rate": 0.00026284700665188474,
1472
+ "loss": 0.671,
1473
+ "step": 209
1474
+ },
1475
+ {
1476
+ "epoch": 1.3824175824175824,
1477
+ "grad_norm": 0.40161359310150146,
1478
+ "learning_rate": 0.00026178713968957873,
1479
+ "loss": 0.6901,
1480
+ "step": 210
1481
+ },
1482
+ {
1483
+ "epoch": 1.389010989010989,
1484
+ "grad_norm": 0.37211689352989197,
1485
+ "learning_rate": 0.0002607272727272727,
1486
+ "loss": 0.6828,
1487
+ "step": 211
1488
+ },
1489
+ {
1490
+ "epoch": 1.3956043956043955,
1491
+ "grad_norm": 0.35739865899086,
1492
+ "learning_rate": 0.00025966740576496676,
1493
+ "loss": 0.648,
1494
+ "step": 212
1495
+ },
1496
+ {
1497
+ "epoch": 1.402197802197802,
1498
+ "grad_norm": 0.3805038630962372,
1499
+ "learning_rate": 0.00025860753880266074,
1500
+ "loss": 0.6389,
1501
+ "step": 213
1502
+ },
1503
+ {
1504
+ "epoch": 1.4087912087912087,
1505
+ "grad_norm": 0.44372430443763733,
1506
+ "learning_rate": 0.0002575476718403548,
1507
+ "loss": 0.6569,
1508
+ "step": 214
1509
+ },
1510
+ {
1511
+ "epoch": 1.4153846153846155,
1512
+ "grad_norm": 0.37554511427879333,
1513
+ "learning_rate": 0.0002564878048780488,
1514
+ "loss": 0.6734,
1515
+ "step": 215
1516
+ },
1517
+ {
1518
+ "epoch": 1.421978021978022,
1519
+ "grad_norm": 0.38463807106018066,
1520
+ "learning_rate": 0.0002554279379157428,
1521
+ "loss": 0.6162,
1522
+ "step": 216
1523
+ },
1524
+ {
1525
+ "epoch": 1.4285714285714286,
1526
+ "grad_norm": 0.34643927216529846,
1527
+ "learning_rate": 0.0002543680709534368,
1528
+ "loss": 0.6412,
1529
+ "step": 217
1530
+ },
1531
+ {
1532
+ "epoch": 1.4351648351648352,
1533
+ "grad_norm": 0.3526350259780884,
1534
+ "learning_rate": 0.00025330820399113084,
1535
+ "loss": 0.6927,
1536
+ "step": 218
1537
+ },
1538
+ {
1539
+ "epoch": 1.4417582417582417,
1540
+ "grad_norm": 0.37397295236587524,
1541
+ "learning_rate": 0.0002522483370288248,
1542
+ "loss": 0.6804,
1543
+ "step": 219
1544
+ },
1545
+ {
1546
+ "epoch": 1.4483516483516483,
1547
+ "grad_norm": 0.362845242023468,
1548
+ "learning_rate": 0.00025118847006651887,
1549
+ "loss": 0.7316,
1550
+ "step": 220
1551
+ },
1552
+ {
1553
+ "epoch": 1.4549450549450549,
1554
+ "grad_norm": 0.35700854659080505,
1555
+ "learning_rate": 0.0002501286031042129,
1556
+ "loss": 0.659,
1557
+ "step": 221
1558
+ },
1559
+ {
1560
+ "epoch": 1.4615384615384617,
1561
+ "grad_norm": 0.3640636205673218,
1562
+ "learning_rate": 0.0002490687361419069,
1563
+ "loss": 0.6662,
1564
+ "step": 222
1565
+ },
1566
+ {
1567
+ "epoch": 1.4681318681318682,
1568
+ "grad_norm": 0.37967148423194885,
1569
+ "learning_rate": 0.0002480088691796009,
1570
+ "loss": 0.6993,
1571
+ "step": 223
1572
+ },
1573
+ {
1574
+ "epoch": 1.4747252747252748,
1575
+ "grad_norm": 0.38931983709335327,
1576
+ "learning_rate": 0.0002469490022172949,
1577
+ "loss": 0.6974,
1578
+ "step": 224
1579
+ },
1580
+ {
1581
+ "epoch": 1.4813186813186814,
1582
+ "grad_norm": 0.40344876050949097,
1583
+ "learning_rate": 0.0002458891352549889,
1584
+ "loss": 0.6886,
1585
+ "step": 225
1586
+ },
1587
+ {
1588
+ "epoch": 1.487912087912088,
1589
+ "grad_norm": 0.35167747735977173,
1590
+ "learning_rate": 0.00024482926829268295,
1591
+ "loss": 0.5827,
1592
+ "step": 226
1593
+ },
1594
+ {
1595
+ "epoch": 1.4945054945054945,
1596
+ "grad_norm": 0.37536776065826416,
1597
+ "learning_rate": 0.00024376940133037696,
1598
+ "loss": 0.5965,
1599
+ "step": 227
1600
+ },
1601
+ {
1602
+ "epoch": 1.501098901098901,
1603
+ "grad_norm": 0.3983894884586334,
1604
+ "learning_rate": 0.00024270953436807097,
1605
+ "loss": 0.6679,
1606
+ "step": 228
1607
+ },
1608
+ {
1609
+ "epoch": 1.5076923076923077,
1610
+ "grad_norm": 0.37814024090766907,
1611
+ "learning_rate": 0.00024164966740576496,
1612
+ "loss": 0.7044,
1613
+ "step": 229
1614
+ },
1615
+ {
1616
+ "epoch": 1.5142857142857142,
1617
+ "grad_norm": 0.3688487708568573,
1618
+ "learning_rate": 0.00024058980044345897,
1619
+ "loss": 0.6515,
1620
+ "step": 230
1621
+ },
1622
+ {
1623
+ "epoch": 1.5208791208791208,
1624
+ "grad_norm": 0.3644563555717468,
1625
+ "learning_rate": 0.000239529933481153,
1626
+ "loss": 0.6822,
1627
+ "step": 231
1628
+ },
1629
+ {
1630
+ "epoch": 1.5274725274725274,
1631
+ "grad_norm": 0.36729520559310913,
1632
+ "learning_rate": 0.00023847006651884703,
1633
+ "loss": 0.5966,
1634
+ "step": 232
1635
+ },
1636
+ {
1637
+ "epoch": 1.534065934065934,
1638
+ "grad_norm": 0.3619236350059509,
1639
+ "learning_rate": 0.00023741019955654104,
1640
+ "loss": 0.7006,
1641
+ "step": 233
1642
+ },
1643
+ {
1644
+ "epoch": 1.5406593406593405,
1645
+ "grad_norm": 0.4138461947441101,
1646
+ "learning_rate": 0.00023635033259423503,
1647
+ "loss": 0.6851,
1648
+ "step": 234
1649
+ },
1650
+ {
1651
+ "epoch": 1.5472527472527473,
1652
+ "grad_norm": 0.36005640029907227,
1653
+ "learning_rate": 0.00023529046563192907,
1654
+ "loss": 0.7015,
1655
+ "step": 235
1656
+ },
1657
+ {
1658
+ "epoch": 1.5538461538461539,
1659
+ "grad_norm": 0.36355483531951904,
1660
+ "learning_rate": 0.00023423059866962308,
1661
+ "loss": 0.6797,
1662
+ "step": 236
1663
+ },
1664
+ {
1665
+ "epoch": 1.5604395604395604,
1666
+ "grad_norm": 0.34447717666625977,
1667
+ "learning_rate": 0.00023317073170731707,
1668
+ "loss": 0.6873,
1669
+ "step": 237
1670
+ },
1671
+ {
1672
+ "epoch": 1.567032967032967,
1673
+ "grad_norm": 0.3675404191017151,
1674
+ "learning_rate": 0.0002321108647450111,
1675
+ "loss": 0.6605,
1676
+ "step": 238
1677
+ },
1678
+ {
1679
+ "epoch": 1.5736263736263736,
1680
+ "grad_norm": 0.3445720970630646,
1681
+ "learning_rate": 0.00023105099778270512,
1682
+ "loss": 0.6958,
1683
+ "step": 239
1684
+ },
1685
+ {
1686
+ "epoch": 1.5802197802197804,
1687
+ "grad_norm": 0.3916369676589966,
1688
+ "learning_rate": 0.0002299911308203991,
1689
+ "loss": 0.6927,
1690
+ "step": 240
1691
+ },
1692
+ {
1693
+ "epoch": 1.586813186813187,
1694
+ "grad_norm": 0.42796406149864197,
1695
+ "learning_rate": 0.00022893126385809315,
1696
+ "loss": 0.614,
1697
+ "step": 241
1698
+ },
1699
+ {
1700
+ "epoch": 1.5934065934065935,
1701
+ "grad_norm": 0.38712581992149353,
1702
+ "learning_rate": 0.00022787139689578716,
1703
+ "loss": 0.6569,
1704
+ "step": 242
1705
+ },
1706
+ {
1707
+ "epoch": 1.6,
1708
+ "grad_norm": 0.4039648473262787,
1709
+ "learning_rate": 0.00022681152993348115,
1710
+ "loss": 0.6383,
1711
+ "step": 243
1712
+ },
1713
+ {
1714
+ "epoch": 1.6065934065934067,
1715
+ "grad_norm": 0.3667120933532715,
1716
+ "learning_rate": 0.00022575166297117516,
1717
+ "loss": 0.6243,
1718
+ "step": 244
1719
+ },
1720
+ {
1721
+ "epoch": 1.6131868131868132,
1722
+ "grad_norm": 0.42547807097435,
1723
+ "learning_rate": 0.0002246917960088692,
1724
+ "loss": 0.6042,
1725
+ "step": 245
1726
+ },
1727
+ {
1728
+ "epoch": 1.6197802197802198,
1729
+ "grad_norm": 0.36566227674484253,
1730
+ "learning_rate": 0.0002236319290465632,
1731
+ "loss": 0.7497,
1732
+ "step": 246
1733
+ },
1734
+ {
1735
+ "epoch": 1.6263736263736264,
1736
+ "grad_norm": 0.32676053047180176,
1737
+ "learning_rate": 0.0002225720620842572,
1738
+ "loss": 0.6627,
1739
+ "step": 247
1740
+ },
1741
+ {
1742
+ "epoch": 1.632967032967033,
1743
+ "grad_norm": 0.36180517077445984,
1744
+ "learning_rate": 0.00022151219512195125,
1745
+ "loss": 0.6555,
1746
+ "step": 248
1747
+ },
1748
+ {
1749
+ "epoch": 1.6395604395604395,
1750
+ "grad_norm": 0.3728333115577698,
1751
+ "learning_rate": 0.00022045232815964523,
1752
+ "loss": 0.6367,
1753
+ "step": 249
1754
+ },
1755
+ {
1756
+ "epoch": 1.646153846153846,
1757
+ "grad_norm": 0.3665814697742462,
1758
+ "learning_rate": 0.00021939246119733925,
1759
+ "loss": 0.6436,
1760
+ "step": 250
1761
+ },
1762
+ {
1763
+ "epoch": 1.6527472527472526,
1764
+ "grad_norm": 0.3807748556137085,
1765
+ "learning_rate": 0.0002183325942350333,
1766
+ "loss": 0.6126,
1767
+ "step": 251
1768
+ },
1769
+ {
1770
+ "epoch": 1.6593406593406592,
1771
+ "grad_norm": 0.34011518955230713,
1772
+ "learning_rate": 0.00021727272727272727,
1773
+ "loss": 0.5731,
1774
+ "step": 252
1775
+ },
1776
+ {
1777
+ "epoch": 1.6659340659340658,
1778
+ "grad_norm": 0.3884364068508148,
1779
+ "learning_rate": 0.0002162128603104213,
1780
+ "loss": 0.6086,
1781
+ "step": 253
1782
+ },
1783
+ {
1784
+ "epoch": 1.6725274725274726,
1785
+ "grad_norm": 0.3920266330242157,
1786
+ "learning_rate": 0.00021515299334811533,
1787
+ "loss": 0.6263,
1788
+ "step": 254
1789
+ },
1790
+ {
1791
+ "epoch": 1.6791208791208792,
1792
+ "grad_norm": 0.41247713565826416,
1793
+ "learning_rate": 0.00021409312638580931,
1794
+ "loss": 0.7076,
1795
+ "step": 255
1796
+ },
1797
+ {
1798
+ "epoch": 1.6857142857142857,
1799
+ "grad_norm": 0.3659220337867737,
1800
+ "learning_rate": 0.00021303325942350333,
1801
+ "loss": 0.6928,
1802
+ "step": 256
1803
+ },
1804
+ {
1805
+ "epoch": 1.6923076923076923,
1806
+ "grad_norm": 0.42150160670280457,
1807
+ "learning_rate": 0.00021197339246119737,
1808
+ "loss": 0.685,
1809
+ "step": 257
1810
+ },
1811
+ {
1812
+ "epoch": 1.6989010989010989,
1813
+ "grad_norm": 0.41313761472702026,
1814
+ "learning_rate": 0.00021091352549889135,
1815
+ "loss": 0.7083,
1816
+ "step": 258
1817
+ },
1818
+ {
1819
+ "epoch": 1.7054945054945057,
1820
+ "grad_norm": 0.3637872338294983,
1821
+ "learning_rate": 0.00020985365853658537,
1822
+ "loss": 0.6875,
1823
+ "step": 259
1824
+ },
1825
+ {
1826
+ "epoch": 1.7120879120879122,
1827
+ "grad_norm": 0.3552550673484802,
1828
+ "learning_rate": 0.0002087937915742794,
1829
+ "loss": 0.5811,
1830
+ "step": 260
1831
+ },
1832
+ {
1833
+ "epoch": 1.7186813186813188,
1834
+ "grad_norm": 0.33103230595588684,
1835
+ "learning_rate": 0.0002077339246119734,
1836
+ "loss": 0.6322,
1837
+ "step": 261
1838
+ },
1839
+ {
1840
+ "epoch": 1.7252747252747254,
1841
+ "grad_norm": 0.3987133800983429,
1842
+ "learning_rate": 0.0002066740576496674,
1843
+ "loss": 0.6923,
1844
+ "step": 262
1845
+ },
1846
+ {
1847
+ "epoch": 1.731868131868132,
1848
+ "grad_norm": 0.37328866124153137,
1849
+ "learning_rate": 0.00020561419068736142,
1850
+ "loss": 0.5956,
1851
+ "step": 263
1852
+ },
1853
+ {
1854
+ "epoch": 1.7384615384615385,
1855
+ "grad_norm": 0.35645592212677,
1856
+ "learning_rate": 0.00020455432372505544,
1857
+ "loss": 0.623,
1858
+ "step": 264
1859
+ },
1860
+ {
1861
+ "epoch": 1.745054945054945,
1862
+ "grad_norm": 0.45821356773376465,
1863
+ "learning_rate": 0.00020349445676274945,
1864
+ "loss": 0.6963,
1865
+ "step": 265
1866
+ },
1867
+ {
1868
+ "epoch": 1.7516483516483516,
1869
+ "grad_norm": 0.4325563311576843,
1870
+ "learning_rate": 0.00020243458980044346,
1871
+ "loss": 0.6437,
1872
+ "step": 266
1873
+ },
1874
+ {
1875
+ "epoch": 1.7582417582417582,
1876
+ "grad_norm": 0.3883129358291626,
1877
+ "learning_rate": 0.00020137472283813748,
1878
+ "loss": 0.6564,
1879
+ "step": 267
1880
+ },
1881
+ {
1882
+ "epoch": 1.7648351648351648,
1883
+ "grad_norm": 0.37192174792289734,
1884
+ "learning_rate": 0.0002003148558758315,
1885
+ "loss": 0.7297,
1886
+ "step": 268
1887
+ },
1888
+ {
1889
+ "epoch": 1.7714285714285714,
1890
+ "grad_norm": 0.41306498646736145,
1891
+ "learning_rate": 0.0001992549889135255,
1892
+ "loss": 0.6091,
1893
+ "step": 269
1894
+ },
1895
+ {
1896
+ "epoch": 1.778021978021978,
1897
+ "grad_norm": 0.3892672657966614,
1898
+ "learning_rate": 0.00019819512195121952,
1899
+ "loss": 0.7049,
1900
+ "step": 270
1901
+ },
1902
+ {
1903
+ "epoch": 1.7846153846153845,
1904
+ "grad_norm": 0.3587683439254761,
1905
+ "learning_rate": 0.00019713525498891353,
1906
+ "loss": 0.6431,
1907
+ "step": 271
1908
+ },
1909
+ {
1910
+ "epoch": 1.791208791208791,
1911
+ "grad_norm": 0.3469403088092804,
1912
+ "learning_rate": 0.00019607538802660754,
1913
+ "loss": 0.7194,
1914
+ "step": 272
1915
+ },
1916
+ {
1917
+ "epoch": 1.7978021978021979,
1918
+ "grad_norm": 0.4051947295665741,
1919
+ "learning_rate": 0.00019501552106430156,
1920
+ "loss": 0.7144,
1921
+ "step": 273
1922
+ },
1923
+ {
1924
+ "epoch": 1.8043956043956044,
1925
+ "grad_norm": 0.37906739115715027,
1926
+ "learning_rate": 0.00019395565410199557,
1927
+ "loss": 0.6582,
1928
+ "step": 274
1929
+ },
1930
+ {
1931
+ "epoch": 1.810989010989011,
1932
+ "grad_norm": 0.40413400530815125,
1933
+ "learning_rate": 0.00019289578713968959,
1934
+ "loss": 0.6423,
1935
+ "step": 275
1936
+ },
1937
+ {
1938
+ "epoch": 1.8175824175824176,
1939
+ "grad_norm": 0.3686625063419342,
1940
+ "learning_rate": 0.0001918359201773836,
1941
+ "loss": 0.6472,
1942
+ "step": 276
1943
+ },
1944
+ {
1945
+ "epoch": 1.8241758241758241,
1946
+ "grad_norm": 0.3732779324054718,
1947
+ "learning_rate": 0.0001907760532150776,
1948
+ "loss": 0.6646,
1949
+ "step": 277
1950
+ },
1951
+ {
1952
+ "epoch": 1.830769230769231,
1953
+ "grad_norm": 0.34917259216308594,
1954
+ "learning_rate": 0.00018971618625277163,
1955
+ "loss": 0.7183,
1956
+ "step": 278
1957
+ },
1958
+ {
1959
+ "epoch": 1.8373626373626375,
1960
+ "grad_norm": 0.3639671206474304,
1961
+ "learning_rate": 0.00018865631929046564,
1962
+ "loss": 0.6548,
1963
+ "step": 279
1964
+ },
1965
+ {
1966
+ "epoch": 1.843956043956044,
1967
+ "grad_norm": 0.34556910395622253,
1968
+ "learning_rate": 0.00018759645232815965,
1969
+ "loss": 0.6565,
1970
+ "step": 280
1971
+ },
1972
+ {
1973
+ "epoch": 1.8505494505494506,
1974
+ "grad_norm": 0.35177111625671387,
1975
+ "learning_rate": 0.00018653658536585367,
1976
+ "loss": 0.6833,
1977
+ "step": 281
1978
+ },
1979
+ {
1980
+ "epoch": 1.8571428571428572,
1981
+ "grad_norm": 0.4248157739639282,
1982
+ "learning_rate": 0.00018547671840354768,
1983
+ "loss": 0.6806,
1984
+ "step": 282
1985
+ },
1986
+ {
1987
+ "epoch": 1.8637362637362638,
1988
+ "grad_norm": 0.3665319085121155,
1989
+ "learning_rate": 0.0001844168514412417,
1990
+ "loss": 0.6643,
1991
+ "step": 283
1992
+ },
1993
+ {
1994
+ "epoch": 1.8703296703296703,
1995
+ "grad_norm": 0.3526496887207031,
1996
+ "learning_rate": 0.0001833569844789357,
1997
+ "loss": 0.6291,
1998
+ "step": 284
1999
+ },
2000
+ {
2001
+ "epoch": 1.876923076923077,
2002
+ "grad_norm": 0.3764701783657074,
2003
+ "learning_rate": 0.0001822971175166297,
2004
+ "loss": 0.6496,
2005
+ "step": 285
2006
+ },
2007
+ {
2008
+ "epoch": 1.8835164835164835,
2009
+ "grad_norm": 0.3442821204662323,
2010
+ "learning_rate": 0.00018123725055432373,
2011
+ "loss": 0.5689,
2012
+ "step": 286
2013
+ },
2014
+ {
2015
+ "epoch": 1.89010989010989,
2016
+ "grad_norm": 0.37878355383872986,
2017
+ "learning_rate": 0.00018017738359201775,
2018
+ "loss": 0.727,
2019
+ "step": 287
2020
+ },
2021
+ {
2022
+ "epoch": 1.8967032967032966,
2023
+ "grad_norm": 0.3501584827899933,
2024
+ "learning_rate": 0.00017911751662971173,
2025
+ "loss": 0.6277,
2026
+ "step": 288
2027
+ },
2028
+ {
2029
+ "epoch": 1.9032967032967032,
2030
+ "grad_norm": 0.3762091100215912,
2031
+ "learning_rate": 0.00017805764966740578,
2032
+ "loss": 0.6569,
2033
+ "step": 289
2034
+ },
2035
+ {
2036
+ "epoch": 1.9098901098901098,
2037
+ "grad_norm": 0.37765055894851685,
2038
+ "learning_rate": 0.0001769977827050998,
2039
+ "loss": 0.694,
2040
+ "step": 290
2041
+ },
2042
+ {
2043
+ "epoch": 1.9164835164835163,
2044
+ "grad_norm": 0.39236217737197876,
2045
+ "learning_rate": 0.00017593791574279378,
2046
+ "loss": 0.6392,
2047
+ "step": 291
2048
+ },
2049
+ {
2050
+ "epoch": 1.9230769230769231,
2051
+ "grad_norm": 0.3917315900325775,
2052
+ "learning_rate": 0.00017487804878048782,
2053
+ "loss": 0.6466,
2054
+ "step": 292
2055
+ },
2056
+ {
2057
+ "epoch": 1.9296703296703297,
2058
+ "grad_norm": 0.3855416774749756,
2059
+ "learning_rate": 0.00017381818181818183,
2060
+ "loss": 0.6126,
2061
+ "step": 293
2062
+ },
2063
+ {
2064
+ "epoch": 1.9362637362637363,
2065
+ "grad_norm": 0.40920308232307434,
2066
+ "learning_rate": 0.00017275831485587582,
2067
+ "loss": 0.6965,
2068
+ "step": 294
2069
+ },
2070
+ {
2071
+ "epoch": 1.9428571428571428,
2072
+ "grad_norm": 0.4434974789619446,
2073
+ "learning_rate": 0.00017169844789356986,
2074
+ "loss": 0.6146,
2075
+ "step": 295
2076
+ },
2077
+ {
2078
+ "epoch": 1.9494505494505494,
2079
+ "grad_norm": 0.34732627868652344,
2080
+ "learning_rate": 0.00017063858093126387,
2081
+ "loss": 0.6199,
2082
+ "step": 296
2083
+ },
2084
+ {
2085
+ "epoch": 1.9560439560439562,
2086
+ "grad_norm": 0.3674536347389221,
2087
+ "learning_rate": 0.00016957871396895788,
2088
+ "loss": 0.6012,
2089
+ "step": 297
2090
+ },
2091
+ {
2092
+ "epoch": 1.9626373626373628,
2093
+ "grad_norm": 0.36995163559913635,
2094
+ "learning_rate": 0.0001685188470066519,
2095
+ "loss": 0.6334,
2096
+ "step": 298
2097
+ },
2098
+ {
2099
+ "epoch": 1.9692307692307693,
2100
+ "grad_norm": 0.3592709004878998,
2101
+ "learning_rate": 0.0001674589800443459,
2102
+ "loss": 0.6883,
2103
+ "step": 299
2104
+ },
2105
+ {
2106
+ "epoch": 1.975824175824176,
2107
+ "grad_norm": 0.37183427810668945,
2108
+ "learning_rate": 0.00016639911308203992,
2109
+ "loss": 0.6888,
2110
+ "step": 300
2111
+ },
2112
+ {
2113
+ "epoch": 1.9824175824175825,
2114
+ "grad_norm": 0.40252208709716797,
2115
+ "learning_rate": 0.00016533924611973394,
2116
+ "loss": 0.5818,
2117
+ "step": 301
2118
+ },
2119
+ {
2120
+ "epoch": 1.989010989010989,
2121
+ "grad_norm": 0.3765590488910675,
2122
+ "learning_rate": 0.00016427937915742795,
2123
+ "loss": 0.6904,
2124
+ "step": 302
2125
+ },
2126
+ {
2127
+ "epoch": 1.9956043956043956,
2128
+ "grad_norm": 0.4293619990348816,
2129
+ "learning_rate": 0.00016321951219512197,
2130
+ "loss": 0.6777,
2131
+ "step": 303
2132
+ },
2133
+ {
2134
+ "epoch": 2.0,
2135
+ "grad_norm": 0.5116645097732544,
2136
+ "learning_rate": 0.00016215964523281595,
2137
+ "loss": 0.6377,
2138
+ "step": 304
2139
+ },
2140
+ {
2141
+ "epoch": 2.0065934065934066,
2142
+ "grad_norm": 0.37566491961479187,
2143
+ "learning_rate": 0.00016109977827051,
2144
+ "loss": 0.5819,
2145
+ "step": 305
2146
+ },
2147
+ {
2148
+ "epoch": 2.013186813186813,
2149
+ "grad_norm": 0.3537121117115021,
2150
+ "learning_rate": 0.000160039911308204,
2151
+ "loss": 0.5909,
2152
+ "step": 306
2153
+ },
2154
+ {
2155
+ "epoch": 2.0197802197802197,
2156
+ "grad_norm": 0.39034998416900635,
2157
+ "learning_rate": 0.000158980044345898,
2158
+ "loss": 0.5391,
2159
+ "step": 307
2160
+ },
2161
+ {
2162
+ "epoch": 2.0263736263736263,
2163
+ "grad_norm": 0.37659239768981934,
2164
+ "learning_rate": 0.00015792017738359203,
2165
+ "loss": 0.5118,
2166
+ "step": 308
2167
+ },
2168
+ {
2169
+ "epoch": 2.032967032967033,
2170
+ "grad_norm": 0.38732704520225525,
2171
+ "learning_rate": 0.00015686031042128605,
2172
+ "loss": 0.5745,
2173
+ "step": 309
2174
+ },
2175
+ {
2176
+ "epoch": 2.0395604395604394,
2177
+ "grad_norm": 0.4092656970024109,
2178
+ "learning_rate": 0.00015580044345898003,
2179
+ "loss": 0.5925,
2180
+ "step": 310
2181
+ },
2182
+ {
2183
+ "epoch": 2.046153846153846,
2184
+ "grad_norm": 0.40416091680526733,
2185
+ "learning_rate": 0.00015474057649667407,
2186
+ "loss": 0.5532,
2187
+ "step": 311
2188
+ },
2189
+ {
2190
+ "epoch": 2.0527472527472526,
2191
+ "grad_norm": 0.4108326733112335,
2192
+ "learning_rate": 0.0001536807095343681,
2193
+ "loss": 0.5338,
2194
+ "step": 312
2195
+ },
2196
+ {
2197
+ "epoch": 2.059340659340659,
2198
+ "grad_norm": 0.4379502236843109,
2199
+ "learning_rate": 0.00015262084257206207,
2200
+ "loss": 0.5819,
2201
+ "step": 313
2202
+ },
2203
+ {
2204
+ "epoch": 2.065934065934066,
2205
+ "grad_norm": 0.4083239734172821,
2206
+ "learning_rate": 0.00015156097560975611,
2207
+ "loss": 0.5132,
2208
+ "step": 314
2209
+ },
2210
+ {
2211
+ "epoch": 2.0725274725274727,
2212
+ "grad_norm": 0.4189518988132477,
2213
+ "learning_rate": 0.00015050110864745013,
2214
+ "loss": 0.5367,
2215
+ "step": 315
2216
+ },
2217
+ {
2218
+ "epoch": 2.0791208791208793,
2219
+ "grad_norm": 0.4176078140735626,
2220
+ "learning_rate": 0.00014944124168514411,
2221
+ "loss": 0.5611,
2222
+ "step": 316
2223
+ },
2224
+ {
2225
+ "epoch": 2.085714285714286,
2226
+ "grad_norm": 0.40296265482902527,
2227
+ "learning_rate": 0.00014838137472283816,
2228
+ "loss": 0.5503,
2229
+ "step": 317
2230
+ },
2231
+ {
2232
+ "epoch": 2.0923076923076924,
2233
+ "grad_norm": 0.44326770305633545,
2234
+ "learning_rate": 0.00014732150776053217,
2235
+ "loss": 0.537,
2236
+ "step": 318
2237
+ },
2238
+ {
2239
+ "epoch": 2.098901098901099,
2240
+ "grad_norm": 0.5095427632331848,
2241
+ "learning_rate": 0.00014626164079822616,
2242
+ "loss": 0.4934,
2243
+ "step": 319
2244
+ },
2245
+ {
2246
+ "epoch": 2.1054945054945056,
2247
+ "grad_norm": 0.42088446021080017,
2248
+ "learning_rate": 0.0001452017738359202,
2249
+ "loss": 0.5053,
2250
+ "step": 320
2251
+ },
2252
+ {
2253
+ "epoch": 2.112087912087912,
2254
+ "grad_norm": 0.45307278633117676,
2255
+ "learning_rate": 0.0001441419068736142,
2256
+ "loss": 0.5966,
2257
+ "step": 321
2258
+ },
2259
+ {
2260
+ "epoch": 2.1186813186813187,
2261
+ "grad_norm": 0.514121949672699,
2262
+ "learning_rate": 0.0001430820399113082,
2263
+ "loss": 0.5255,
2264
+ "step": 322
2265
+ },
2266
+ {
2267
+ "epoch": 2.1252747252747253,
2268
+ "grad_norm": 0.48232635855674744,
2269
+ "learning_rate": 0.00014202217294900224,
2270
+ "loss": 0.5705,
2271
+ "step": 323
2272
+ },
2273
+ {
2274
+ "epoch": 2.131868131868132,
2275
+ "grad_norm": 0.4331412613391876,
2276
+ "learning_rate": 0.00014096230598669625,
2277
+ "loss": 0.5803,
2278
+ "step": 324
2279
+ },
2280
+ {
2281
+ "epoch": 2.1384615384615384,
2282
+ "grad_norm": 0.42453521490097046,
2283
+ "learning_rate": 0.00013990243902439024,
2284
+ "loss": 0.5267,
2285
+ "step": 325
2286
+ },
2287
+ {
2288
+ "epoch": 2.145054945054945,
2289
+ "grad_norm": 0.47767454385757446,
2290
+ "learning_rate": 0.00013884257206208425,
2291
+ "loss": 0.6002,
2292
+ "step": 326
2293
+ },
2294
+ {
2295
+ "epoch": 2.1516483516483516,
2296
+ "grad_norm": 0.44827523827552795,
2297
+ "learning_rate": 0.0001377827050997783,
2298
+ "loss": 0.5816,
2299
+ "step": 327
2300
+ },
2301
+ {
2302
+ "epoch": 2.158241758241758,
2303
+ "grad_norm": 0.429264634847641,
2304
+ "learning_rate": 0.00013672283813747228,
2305
+ "loss": 0.6079,
2306
+ "step": 328
2307
+ },
2308
+ {
2309
+ "epoch": 2.1648351648351647,
2310
+ "grad_norm": 0.48142921924591064,
2311
+ "learning_rate": 0.0001356629711751663,
2312
+ "loss": 0.5402,
2313
+ "step": 329
2314
+ },
2315
+ {
2316
+ "epoch": 2.1714285714285713,
2317
+ "grad_norm": 0.47979727387428284,
2318
+ "learning_rate": 0.00013460310421286033,
2319
+ "loss": 0.5563,
2320
+ "step": 330
2321
+ },
2322
+ {
2323
+ "epoch": 2.178021978021978,
2324
+ "grad_norm": 0.5298358798027039,
2325
+ "learning_rate": 0.00013354323725055432,
2326
+ "loss": 0.5641,
2327
+ "step": 331
2328
+ },
2329
+ {
2330
+ "epoch": 2.184615384615385,
2331
+ "grad_norm": 0.5011658072471619,
2332
+ "learning_rate": 0.00013248337028824833,
2333
+ "loss": 0.5331,
2334
+ "step": 332
2335
+ },
2336
+ {
2337
+ "epoch": 2.1912087912087914,
2338
+ "grad_norm": 0.533147931098938,
2339
+ "learning_rate": 0.00013142350332594237,
2340
+ "loss": 0.6307,
2341
+ "step": 333
2342
+ },
2343
+ {
2344
+ "epoch": 2.197802197802198,
2345
+ "grad_norm": 0.5181835889816284,
2346
+ "learning_rate": 0.00013036363636363636,
2347
+ "loss": 0.4885,
2348
+ "step": 334
2349
+ },
2350
+ {
2351
+ "epoch": 2.2043956043956046,
2352
+ "grad_norm": 0.4809086322784424,
2353
+ "learning_rate": 0.00012930376940133037,
2354
+ "loss": 0.5033,
2355
+ "step": 335
2356
+ },
2357
+ {
2358
+ "epoch": 2.210989010989011,
2359
+ "grad_norm": 0.5145286321640015,
2360
+ "learning_rate": 0.0001282439024390244,
2361
+ "loss": 0.5702,
2362
+ "step": 336
2363
+ },
2364
+ {
2365
+ "epoch": 2.2175824175824177,
2366
+ "grad_norm": 0.4592391550540924,
2367
+ "learning_rate": 0.0001271840354767184,
2368
+ "loss": 0.5509,
2369
+ "step": 337
2370
+ },
2371
+ {
2372
+ "epoch": 2.2241758241758243,
2373
+ "grad_norm": 0.47879448533058167,
2374
+ "learning_rate": 0.0001261241685144124,
2375
+ "loss": 0.6233,
2376
+ "step": 338
2377
+ },
2378
+ {
2379
+ "epoch": 2.230769230769231,
2380
+ "grad_norm": 0.48939841985702515,
2381
+ "learning_rate": 0.00012506430155210645,
2382
+ "loss": 0.5934,
2383
+ "step": 339
2384
+ },
2385
+ {
2386
+ "epoch": 2.2373626373626374,
2387
+ "grad_norm": 0.517932116985321,
2388
+ "learning_rate": 0.00012400443458980044,
2389
+ "loss": 0.5251,
2390
+ "step": 340
2391
+ },
2392
+ {
2393
+ "epoch": 2.243956043956044,
2394
+ "grad_norm": 0.5007826089859009,
2395
+ "learning_rate": 0.00012294456762749445,
2396
+ "loss": 0.6142,
2397
+ "step": 341
2398
+ },
2399
+ {
2400
+ "epoch": 2.2505494505494505,
2401
+ "grad_norm": 0.4412643313407898,
2402
+ "learning_rate": 0.00012188470066518848,
2403
+ "loss": 0.5415,
2404
+ "step": 342
2405
+ },
2406
+ {
2407
+ "epoch": 2.257142857142857,
2408
+ "grad_norm": 0.45227885246276855,
2409
+ "learning_rate": 0.00012082483370288248,
2410
+ "loss": 0.5462,
2411
+ "step": 343
2412
+ },
2413
+ {
2414
+ "epoch": 2.2637362637362637,
2415
+ "grad_norm": 0.45222949981689453,
2416
+ "learning_rate": 0.0001197649667405765,
2417
+ "loss": 0.5426,
2418
+ "step": 344
2419
+ },
2420
+ {
2421
+ "epoch": 2.2703296703296703,
2422
+ "grad_norm": 0.5486775636672974,
2423
+ "learning_rate": 0.00011870509977827052,
2424
+ "loss": 0.5819,
2425
+ "step": 345
2426
+ },
2427
+ {
2428
+ "epoch": 2.276923076923077,
2429
+ "grad_norm": 0.47183334827423096,
2430
+ "learning_rate": 0.00011764523281596453,
2431
+ "loss": 0.541,
2432
+ "step": 346
2433
+ },
2434
+ {
2435
+ "epoch": 2.2835164835164834,
2436
+ "grad_norm": 0.4757823348045349,
2437
+ "learning_rate": 0.00011658536585365853,
2438
+ "loss": 0.552,
2439
+ "step": 347
2440
+ },
2441
+ {
2442
+ "epoch": 2.29010989010989,
2443
+ "grad_norm": 0.5165002346038818,
2444
+ "learning_rate": 0.00011552549889135256,
2445
+ "loss": 0.5353,
2446
+ "step": 348
2447
+ },
2448
+ {
2449
+ "epoch": 2.2967032967032965,
2450
+ "grad_norm": 0.4850943684577942,
2451
+ "learning_rate": 0.00011446563192904658,
2452
+ "loss": 0.5771,
2453
+ "step": 349
2454
+ },
2455
+ {
2456
+ "epoch": 2.303296703296703,
2457
+ "grad_norm": 0.4945162534713745,
2458
+ "learning_rate": 0.00011340576496674058,
2459
+ "loss": 0.5896,
2460
+ "step": 350
2461
+ },
2462
+ {
2463
+ "epoch": 2.3098901098901097,
2464
+ "grad_norm": 0.4818560779094696,
2465
+ "learning_rate": 0.0001123458980044346,
2466
+ "loss": 0.5205,
2467
+ "step": 351
2468
+ },
2469
+ {
2470
+ "epoch": 2.3164835164835162,
2471
+ "grad_norm": 0.4599496126174927,
2472
+ "learning_rate": 0.0001112860310421286,
2473
+ "loss": 0.5892,
2474
+ "step": 352
2475
+ },
2476
+ {
2477
+ "epoch": 2.3230769230769233,
2478
+ "grad_norm": 0.5347880721092224,
2479
+ "learning_rate": 0.00011022616407982262,
2480
+ "loss": 0.5411,
2481
+ "step": 353
2482
+ },
2483
+ {
2484
+ "epoch": 2.32967032967033,
2485
+ "grad_norm": 0.44645607471466064,
2486
+ "learning_rate": 0.00010916629711751664,
2487
+ "loss": 0.5331,
2488
+ "step": 354
2489
+ },
2490
+ {
2491
+ "epoch": 2.3362637362637364,
2492
+ "grad_norm": 0.5465013980865479,
2493
+ "learning_rate": 0.00010810643015521064,
2494
+ "loss": 0.5334,
2495
+ "step": 355
2496
+ },
2497
+ {
2498
+ "epoch": 2.342857142857143,
2499
+ "grad_norm": 0.4818529784679413,
2500
+ "learning_rate": 0.00010704656319290466,
2501
+ "loss": 0.57,
2502
+ "step": 356
2503
+ },
2504
+ {
2505
+ "epoch": 2.3494505494505495,
2506
+ "grad_norm": 0.5043441653251648,
2507
+ "learning_rate": 0.00010598669623059868,
2508
+ "loss": 0.5573,
2509
+ "step": 357
2510
+ },
2511
+ {
2512
+ "epoch": 2.356043956043956,
2513
+ "grad_norm": 0.4900377094745636,
2514
+ "learning_rate": 0.00010492682926829268,
2515
+ "loss": 0.5604,
2516
+ "step": 358
2517
+ },
2518
+ {
2519
+ "epoch": 2.3626373626373627,
2520
+ "grad_norm": 0.5478551387786865,
2521
+ "learning_rate": 0.0001038669623059867,
2522
+ "loss": 0.6402,
2523
+ "step": 359
2524
+ },
2525
+ {
2526
+ "epoch": 2.3692307692307693,
2527
+ "grad_norm": 0.5178705453872681,
2528
+ "learning_rate": 0.00010280709534368071,
2529
+ "loss": 0.6082,
2530
+ "step": 360
2531
+ },
2532
+ {
2533
+ "epoch": 2.375824175824176,
2534
+ "grad_norm": 0.5018958449363708,
2535
+ "learning_rate": 0.00010174722838137472,
2536
+ "loss": 0.5591,
2537
+ "step": 361
2538
+ },
2539
+ {
2540
+ "epoch": 2.3824175824175824,
2541
+ "grad_norm": 0.5049342513084412,
2542
+ "learning_rate": 0.00010068736141906874,
2543
+ "loss": 0.5164,
2544
+ "step": 362
2545
+ },
2546
+ {
2547
+ "epoch": 2.389010989010989,
2548
+ "grad_norm": 0.4705263078212738,
2549
+ "learning_rate": 9.962749445676275e-05,
2550
+ "loss": 0.5648,
2551
+ "step": 363
2552
+ },
2553
+ {
2554
+ "epoch": 2.3956043956043955,
2555
+ "grad_norm": 0.5149775147438049,
2556
+ "learning_rate": 9.856762749445677e-05,
2557
+ "loss": 0.5087,
2558
+ "step": 364
2559
+ },
2560
+ {
2561
+ "epoch": 2.402197802197802,
2562
+ "grad_norm": 0.5052133202552795,
2563
+ "learning_rate": 9.750776053215078e-05,
2564
+ "loss": 0.5328,
2565
+ "step": 365
2566
+ },
2567
+ {
2568
+ "epoch": 2.4087912087912087,
2569
+ "grad_norm": 0.5089244246482849,
2570
+ "learning_rate": 9.644789356984479e-05,
2571
+ "loss": 0.5118,
2572
+ "step": 366
2573
+ },
2574
+ {
2575
+ "epoch": 2.4153846153846152,
2576
+ "grad_norm": 0.5100271105766296,
2577
+ "learning_rate": 9.53880266075388e-05,
2578
+ "loss": 0.511,
2579
+ "step": 367
2580
+ },
2581
+ {
2582
+ "epoch": 2.421978021978022,
2583
+ "grad_norm": 0.4884236454963684,
2584
+ "learning_rate": 9.432815964523282e-05,
2585
+ "loss": 0.5526,
2586
+ "step": 368
2587
+ },
2588
+ {
2589
+ "epoch": 2.4285714285714284,
2590
+ "grad_norm": 0.4753691852092743,
2591
+ "learning_rate": 9.326829268292683e-05,
2592
+ "loss": 0.571,
2593
+ "step": 369
2594
+ },
2595
+ {
2596
+ "epoch": 2.4351648351648354,
2597
+ "grad_norm": 0.47016677260398865,
2598
+ "learning_rate": 9.220842572062085e-05,
2599
+ "loss": 0.5186,
2600
+ "step": 370
2601
+ },
2602
+ {
2603
+ "epoch": 2.441758241758242,
2604
+ "grad_norm": 0.499392569065094,
2605
+ "learning_rate": 9.114855875831485e-05,
2606
+ "loss": 0.5496,
2607
+ "step": 371
2608
+ },
2609
+ {
2610
+ "epoch": 2.4483516483516485,
2611
+ "grad_norm": 0.5158039927482605,
2612
+ "learning_rate": 9.008869179600887e-05,
2613
+ "loss": 0.5244,
2614
+ "step": 372
2615
+ },
2616
+ {
2617
+ "epoch": 2.454945054945055,
2618
+ "grad_norm": 0.48002421855926514,
2619
+ "learning_rate": 8.902882483370289e-05,
2620
+ "loss": 0.5425,
2621
+ "step": 373
2622
+ },
2623
+ {
2624
+ "epoch": 2.4615384615384617,
2625
+ "grad_norm": 0.5249605774879456,
2626
+ "learning_rate": 8.796895787139689e-05,
2627
+ "loss": 0.4915,
2628
+ "step": 374
2629
+ },
2630
+ {
2631
+ "epoch": 2.4681318681318682,
2632
+ "grad_norm": 0.48905298113822937,
2633
+ "learning_rate": 8.690909090909091e-05,
2634
+ "loss": 0.5422,
2635
+ "step": 375
2636
+ },
2637
+ {
2638
+ "epoch": 2.474725274725275,
2639
+ "grad_norm": 0.43776431679725647,
2640
+ "learning_rate": 8.584922394678493e-05,
2641
+ "loss": 0.5054,
2642
+ "step": 376
2643
+ },
2644
+ {
2645
+ "epoch": 2.4813186813186814,
2646
+ "grad_norm": 0.517510175704956,
2647
+ "learning_rate": 8.478935698447894e-05,
2648
+ "loss": 0.5633,
2649
+ "step": 377
2650
+ },
2651
+ {
2652
+ "epoch": 2.487912087912088,
2653
+ "grad_norm": 0.521196722984314,
2654
+ "learning_rate": 8.372949002217296e-05,
2655
+ "loss": 0.5826,
2656
+ "step": 378
2657
+ },
2658
+ {
2659
+ "epoch": 2.4945054945054945,
2660
+ "grad_norm": 0.48704734444618225,
2661
+ "learning_rate": 8.266962305986697e-05,
2662
+ "loss": 0.4671,
2663
+ "step": 379
2664
+ },
2665
+ {
2666
+ "epoch": 2.501098901098901,
2667
+ "grad_norm": 0.5737009644508362,
2668
+ "learning_rate": 8.160975609756098e-05,
2669
+ "loss": 0.5626,
2670
+ "step": 380
2671
+ },
2672
+ {
2673
+ "epoch": 2.5076923076923077,
2674
+ "grad_norm": 0.5464959740638733,
2675
+ "learning_rate": 8.0549889135255e-05,
2676
+ "loss": 0.4647,
2677
+ "step": 381
2678
+ },
2679
+ {
2680
+ "epoch": 2.5142857142857142,
2681
+ "grad_norm": 0.5190503001213074,
2682
+ "learning_rate": 7.9490022172949e-05,
2683
+ "loss": 0.5669,
2684
+ "step": 382
2685
+ },
2686
+ {
2687
+ "epoch": 2.520879120879121,
2688
+ "grad_norm": 0.5061521530151367,
2689
+ "learning_rate": 7.843015521064302e-05,
2690
+ "loss": 0.5379,
2691
+ "step": 383
2692
+ },
2693
+ {
2694
+ "epoch": 2.5274725274725274,
2695
+ "grad_norm": 0.6107311844825745,
2696
+ "learning_rate": 7.737028824833704e-05,
2697
+ "loss": 0.5359,
2698
+ "step": 384
2699
+ },
2700
+ {
2701
+ "epoch": 2.534065934065934,
2702
+ "grad_norm": 0.4706372320652008,
2703
+ "learning_rate": 7.631042128603104e-05,
2704
+ "loss": 0.5368,
2705
+ "step": 385
2706
+ },
2707
+ {
2708
+ "epoch": 2.5406593406593405,
2709
+ "grad_norm": 0.46517807245254517,
2710
+ "learning_rate": 7.525055432372506e-05,
2711
+ "loss": 0.5837,
2712
+ "step": 386
2713
+ },
2714
+ {
2715
+ "epoch": 2.547252747252747,
2716
+ "grad_norm": 0.5661277174949646,
2717
+ "learning_rate": 7.419068736141908e-05,
2718
+ "loss": 0.5656,
2719
+ "step": 387
2720
+ },
2721
+ {
2722
+ "epoch": 2.5538461538461537,
2723
+ "grad_norm": 0.5041473507881165,
2724
+ "learning_rate": 7.313082039911308e-05,
2725
+ "loss": 0.472,
2726
+ "step": 388
2727
+ },
2728
+ {
2729
+ "epoch": 2.5604395604395602,
2730
+ "grad_norm": 0.4884931147098541,
2731
+ "learning_rate": 7.20709534368071e-05,
2732
+ "loss": 0.5468,
2733
+ "step": 389
2734
+ },
2735
+ {
2736
+ "epoch": 2.567032967032967,
2737
+ "grad_norm": 0.5164287686347961,
2738
+ "learning_rate": 7.101108647450112e-05,
2739
+ "loss": 0.4995,
2740
+ "step": 390
2741
+ },
2742
+ {
2743
+ "epoch": 2.5736263736263734,
2744
+ "grad_norm": 0.5293363928794861,
2745
+ "learning_rate": 6.995121951219512e-05,
2746
+ "loss": 0.5679,
2747
+ "step": 391
2748
+ },
2749
+ {
2750
+ "epoch": 2.5802197802197804,
2751
+ "grad_norm": 0.5201839804649353,
2752
+ "learning_rate": 6.889135254988915e-05,
2753
+ "loss": 0.5538,
2754
+ "step": 392
2755
+ },
2756
+ {
2757
+ "epoch": 2.586813186813187,
2758
+ "grad_norm": 0.5030112862586975,
2759
+ "learning_rate": 6.783148558758315e-05,
2760
+ "loss": 0.6007,
2761
+ "step": 393
2762
+ },
2763
+ {
2764
+ "epoch": 2.5934065934065935,
2765
+ "grad_norm": 0.4886395335197449,
2766
+ "learning_rate": 6.677161862527716e-05,
2767
+ "loss": 0.5224,
2768
+ "step": 394
2769
+ },
2770
+ {
2771
+ "epoch": 2.6,
2772
+ "grad_norm": 0.5146926641464233,
2773
+ "learning_rate": 6.571175166297119e-05,
2774
+ "loss": 0.5367,
2775
+ "step": 395
2776
+ },
2777
+ {
2778
+ "epoch": 2.6065934065934067,
2779
+ "grad_norm": 0.5484263896942139,
2780
+ "learning_rate": 6.465188470066519e-05,
2781
+ "loss": 0.5644,
2782
+ "step": 396
2783
+ },
2784
+ {
2785
+ "epoch": 2.6131868131868132,
2786
+ "grad_norm": 0.5186261534690857,
2787
+ "learning_rate": 6.35920177383592e-05,
2788
+ "loss": 0.5221,
2789
+ "step": 397
2790
+ },
2791
+ {
2792
+ "epoch": 2.61978021978022,
2793
+ "grad_norm": 0.4857414662837982,
2794
+ "learning_rate": 6.253215077605323e-05,
2795
+ "loss": 0.5977,
2796
+ "step": 398
2797
+ },
2798
+ {
2799
+ "epoch": 2.6263736263736264,
2800
+ "grad_norm": 0.5213504433631897,
2801
+ "learning_rate": 6.147228381374723e-05,
2802
+ "loss": 0.5534,
2803
+ "step": 399
2804
+ },
2805
+ {
2806
+ "epoch": 2.632967032967033,
2807
+ "grad_norm": 0.46881458163261414,
2808
+ "learning_rate": 6.041241685144124e-05,
2809
+ "loss": 0.5856,
2810
+ "step": 400
2811
+ },
2812
+ {
2813
+ "epoch": 2.6395604395604395,
2814
+ "grad_norm": 0.5869070291519165,
2815
+ "learning_rate": 5.935254988913526e-05,
2816
+ "loss": 0.477,
2817
+ "step": 401
2818
+ },
2819
+ {
2820
+ "epoch": 2.646153846153846,
2821
+ "grad_norm": 0.5170873999595642,
2822
+ "learning_rate": 5.829268292682927e-05,
2823
+ "loss": 0.5893,
2824
+ "step": 402
2825
+ },
2826
+ {
2827
+ "epoch": 2.6527472527472526,
2828
+ "grad_norm": 0.5336002707481384,
2829
+ "learning_rate": 5.723281596452329e-05,
2830
+ "loss": 0.506,
2831
+ "step": 403
2832
+ },
2833
+ {
2834
+ "epoch": 2.659340659340659,
2835
+ "grad_norm": 0.4747842848300934,
2836
+ "learning_rate": 5.61729490022173e-05,
2837
+ "loss": 0.5146,
2838
+ "step": 404
2839
+ },
2840
+ {
2841
+ "epoch": 2.665934065934066,
2842
+ "grad_norm": 0.6062822341918945,
2843
+ "learning_rate": 5.511308203991131e-05,
2844
+ "loss": 0.6198,
2845
+ "step": 405
2846
+ },
2847
+ {
2848
+ "epoch": 2.672527472527473,
2849
+ "grad_norm": 0.5588923096656799,
2850
+ "learning_rate": 5.405321507760532e-05,
2851
+ "loss": 0.5448,
2852
+ "step": 406
2853
+ },
2854
+ {
2855
+ "epoch": 2.6791208791208794,
2856
+ "grad_norm": 0.5550131797790527,
2857
+ "learning_rate": 5.299334811529934e-05,
2858
+ "loss": 0.569,
2859
+ "step": 407
2860
+ },
2861
+ {
2862
+ "epoch": 2.685714285714286,
2863
+ "grad_norm": 0.49696028232574463,
2864
+ "learning_rate": 5.193348115299335e-05,
2865
+ "loss": 0.5415,
2866
+ "step": 408
2867
+ },
2868
+ {
2869
+ "epoch": 2.6923076923076925,
2870
+ "grad_norm": 0.5462471842765808,
2871
+ "learning_rate": 5.087361419068736e-05,
2872
+ "loss": 0.5493,
2873
+ "step": 409
2874
+ },
2875
+ {
2876
+ "epoch": 2.698901098901099,
2877
+ "grad_norm": 0.5680067539215088,
2878
+ "learning_rate": 4.9813747228381376e-05,
2879
+ "loss": 0.4053,
2880
+ "step": 410
2881
+ },
2882
+ {
2883
+ "epoch": 2.7054945054945057,
2884
+ "grad_norm": 0.5316996574401855,
2885
+ "learning_rate": 4.875388026607539e-05,
2886
+ "loss": 0.6068,
2887
+ "step": 411
2888
+ },
2889
+ {
2890
+ "epoch": 2.7120879120879122,
2891
+ "grad_norm": 0.5228846669197083,
2892
+ "learning_rate": 4.76940133037694e-05,
2893
+ "loss": 0.4731,
2894
+ "step": 412
2895
+ },
2896
+ {
2897
+ "epoch": 2.718681318681319,
2898
+ "grad_norm": 0.5488933324813843,
2899
+ "learning_rate": 4.663414634146342e-05,
2900
+ "loss": 0.5431,
2901
+ "step": 413
2902
+ },
2903
+ {
2904
+ "epoch": 2.7252747252747254,
2905
+ "grad_norm": 0.5614755749702454,
2906
+ "learning_rate": 4.5574279379157423e-05,
2907
+ "loss": 0.55,
2908
+ "step": 414
2909
+ },
2910
+ {
2911
+ "epoch": 2.731868131868132,
2912
+ "grad_norm": 0.5384721159934998,
2913
+ "learning_rate": 4.4514412416851444e-05,
2914
+ "loss": 0.5195,
2915
+ "step": 415
2916
+ },
2917
+ {
2918
+ "epoch": 2.7384615384615385,
2919
+ "grad_norm": 0.49885985255241394,
2920
+ "learning_rate": 4.345454545454546e-05,
2921
+ "loss": 0.4852,
2922
+ "step": 416
2923
+ },
2924
+ {
2925
+ "epoch": 2.745054945054945,
2926
+ "grad_norm": 0.5658427476882935,
2927
+ "learning_rate": 4.239467849223947e-05,
2928
+ "loss": 0.5577,
2929
+ "step": 417
2930
+ },
2931
+ {
2932
+ "epoch": 2.7516483516483516,
2933
+ "grad_norm": 0.5246545076370239,
2934
+ "learning_rate": 4.1334811529933485e-05,
2935
+ "loss": 0.5305,
2936
+ "step": 418
2937
+ },
2938
+ {
2939
+ "epoch": 2.758241758241758,
2940
+ "grad_norm": 0.5386310815811157,
2941
+ "learning_rate": 4.02749445676275e-05,
2942
+ "loss": 0.5449,
2943
+ "step": 419
2944
+ },
2945
+ {
2946
+ "epoch": 2.764835164835165,
2947
+ "grad_norm": 0.509314775466919,
2948
+ "learning_rate": 3.921507760532151e-05,
2949
+ "loss": 0.5324,
2950
+ "step": 420
2951
+ },
2952
+ {
2953
+ "epoch": 2.7714285714285714,
2954
+ "grad_norm": 0.5174904465675354,
2955
+ "learning_rate": 3.815521064301552e-05,
2956
+ "loss": 0.5519,
2957
+ "step": 421
2958
+ },
2959
+ {
2960
+ "epoch": 2.778021978021978,
2961
+ "grad_norm": 0.5442329049110413,
2962
+ "learning_rate": 3.709534368070954e-05,
2963
+ "loss": 0.5358,
2964
+ "step": 422
2965
+ },
2966
+ {
2967
+ "epoch": 2.7846153846153845,
2968
+ "grad_norm": 0.5310398936271667,
2969
+ "learning_rate": 3.603547671840355e-05,
2970
+ "loss": 0.5418,
2971
+ "step": 423
2972
+ },
2973
+ {
2974
+ "epoch": 2.791208791208791,
2975
+ "grad_norm": 0.5344118475914001,
2976
+ "learning_rate": 3.497560975609756e-05,
2977
+ "loss": 0.4736,
2978
+ "step": 424
2979
+ },
2980
+ {
2981
+ "epoch": 2.7978021978021976,
2982
+ "grad_norm": 0.5111613869667053,
2983
+ "learning_rate": 3.391574279379157e-05,
2984
+ "loss": 0.5401,
2985
+ "step": 425
2986
+ },
2987
+ {
2988
+ "epoch": 2.804395604395604,
2989
+ "grad_norm": 0.5088886618614197,
2990
+ "learning_rate": 3.285587583148559e-05,
2991
+ "loss": 0.4973,
2992
+ "step": 426
2993
+ },
2994
+ {
2995
+ "epoch": 2.8109890109890108,
2996
+ "grad_norm": 0.5100208520889282,
2997
+ "learning_rate": 3.17960088691796e-05,
2998
+ "loss": 0.5004,
2999
+ "step": 427
3000
+ },
3001
+ {
3002
+ "epoch": 2.8175824175824173,
3003
+ "grad_norm": 0.49900007247924805,
3004
+ "learning_rate": 3.0736141906873613e-05,
3005
+ "loss": 0.5228,
3006
+ "step": 428
3007
+ },
3008
+ {
3009
+ "epoch": 2.824175824175824,
3010
+ "grad_norm": 0.5103441476821899,
3011
+ "learning_rate": 2.967627494456763e-05,
3012
+ "loss": 0.5053,
3013
+ "step": 429
3014
+ },
3015
+ {
3016
+ "epoch": 2.830769230769231,
3017
+ "grad_norm": 0.5294708013534546,
3018
+ "learning_rate": 2.8616407982261644e-05,
3019
+ "loss": 0.5701,
3020
+ "step": 430
3021
+ },
3022
+ {
3023
+ "epoch": 2.8373626373626375,
3024
+ "grad_norm": 0.4586814343929291,
3025
+ "learning_rate": 2.7556541019955654e-05,
3026
+ "loss": 0.5576,
3027
+ "step": 431
3028
+ },
3029
+ {
3030
+ "epoch": 2.843956043956044,
3031
+ "grad_norm": 0.4935390055179596,
3032
+ "learning_rate": 2.649667405764967e-05,
3033
+ "loss": 0.5614,
3034
+ "step": 432
3035
+ },
3036
+ {
3037
+ "epoch": 2.8505494505494506,
3038
+ "grad_norm": 0.5534895658493042,
3039
+ "learning_rate": 2.543680709534368e-05,
3040
+ "loss": 0.5118,
3041
+ "step": 433
3042
+ },
3043
+ {
3044
+ "epoch": 2.857142857142857,
3045
+ "grad_norm": 0.5763545632362366,
3046
+ "learning_rate": 2.4376940133037695e-05,
3047
+ "loss": 0.5483,
3048
+ "step": 434
3049
+ },
3050
+ {
3051
+ "epoch": 2.8637362637362638,
3052
+ "grad_norm": 0.5823562145233154,
3053
+ "learning_rate": 2.331707317073171e-05,
3054
+ "loss": 0.6051,
3055
+ "step": 435
3056
+ },
3057
+ {
3058
+ "epoch": 2.8703296703296703,
3059
+ "grad_norm": 0.5762396454811096,
3060
+ "learning_rate": 2.2257206208425722e-05,
3061
+ "loss": 0.554,
3062
+ "step": 436
3063
+ },
3064
+ {
3065
+ "epoch": 2.876923076923077,
3066
+ "grad_norm": 0.4752945303916931,
3067
+ "learning_rate": 2.1197339246119735e-05,
3068
+ "loss": 0.5285,
3069
+ "step": 437
3070
+ },
3071
+ {
3072
+ "epoch": 2.8835164835164835,
3073
+ "grad_norm": 0.5364984273910522,
3074
+ "learning_rate": 2.013747228381375e-05,
3075
+ "loss": 0.5413,
3076
+ "step": 438
3077
+ },
3078
+ {
3079
+ "epoch": 2.89010989010989,
3080
+ "grad_norm": 0.5525035262107849,
3081
+ "learning_rate": 1.907760532150776e-05,
3082
+ "loss": 0.5334,
3083
+ "step": 439
3084
+ },
3085
+ {
3086
+ "epoch": 2.8967032967032966,
3087
+ "grad_norm": 0.5105699896812439,
3088
+ "learning_rate": 1.8017738359201776e-05,
3089
+ "loss": 0.5386,
3090
+ "step": 440
3091
+ },
3092
+ {
3093
+ "epoch": 2.903296703296703,
3094
+ "grad_norm": 0.5149334669113159,
3095
+ "learning_rate": 1.6957871396895786e-05,
3096
+ "loss": 0.4976,
3097
+ "step": 441
3098
+ },
3099
+ {
3100
+ "epoch": 2.9098901098901098,
3101
+ "grad_norm": 0.513602614402771,
3102
+ "learning_rate": 1.58980044345898e-05,
3103
+ "loss": 0.4894,
3104
+ "step": 442
3105
+ },
3106
+ {
3107
+ "epoch": 2.9164835164835163,
3108
+ "grad_norm": 0.5032971501350403,
3109
+ "learning_rate": 1.4838137472283815e-05,
3110
+ "loss": 0.5836,
3111
+ "step": 443
3112
+ },
3113
+ {
3114
+ "epoch": 2.9230769230769234,
3115
+ "grad_norm": 0.49338498711586,
3116
+ "learning_rate": 1.3778270509977827e-05,
3117
+ "loss": 0.5809,
3118
+ "step": 444
3119
+ },
3120
+ {
3121
+ "epoch": 2.92967032967033,
3122
+ "grad_norm": 0.5422781705856323,
3123
+ "learning_rate": 1.271840354767184e-05,
3124
+ "loss": 0.5682,
3125
+ "step": 445
3126
+ },
3127
+ {
3128
+ "epoch": 2.9362637362637365,
3129
+ "grad_norm": 0.5293127298355103,
3130
+ "learning_rate": 1.1658536585365854e-05,
3131
+ "loss": 0.6068,
3132
+ "step": 446
3133
+ },
3134
+ {
3135
+ "epoch": 2.942857142857143,
3136
+ "grad_norm": 0.6309868097305298,
3137
+ "learning_rate": 1.0598669623059868e-05,
3138
+ "loss": 0.6186,
3139
+ "step": 447
3140
+ },
3141
+ {
3142
+ "epoch": 2.9494505494505496,
3143
+ "grad_norm": 0.4700750410556793,
3144
+ "learning_rate": 9.53880266075388e-06,
3145
+ "loss": 0.5413,
3146
+ "step": 448
3147
+ },
3148
+ {
3149
+ "epoch": 2.956043956043956,
3150
+ "grad_norm": 0.5170409083366394,
3151
+ "learning_rate": 8.478935698447893e-06,
3152
+ "loss": 0.5396,
3153
+ "step": 449
3154
+ },
3155
+ {
3156
+ "epoch": 2.9626373626373628,
3157
+ "grad_norm": 0.5135874152183533,
3158
+ "learning_rate": 7.419068736141908e-06,
3159
+ "loss": 0.6446,
3160
+ "step": 450
3161
+ }
3162
+ ],
3163
+ "logging_steps": 1,
3164
+ "max_steps": 456,
3165
+ "num_input_tokens_seen": 0,
3166
+ "num_train_epochs": 3,
3167
+ "save_steps": 15,
3168
+ "stateful_callbacks": {
3169
+ "TrainerControl": {
3170
+ "args": {
3171
+ "should_epoch_stop": false,
3172
+ "should_evaluate": false,
3173
+ "should_log": false,
3174
+ "should_save": true,
3175
+ "should_training_stop": false
3176
+ },
3177
+ "attributes": {}
3178
+ }
3179
+ },
3180
+ "total_flos": 2.0537782663820083e+17,
3181
+ "train_batch_size": 22,
3182
+ "trial_name": null,
3183
+ "trial_params": null
3184
+ }
seed0/checkpoint-450/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c4716bc9b8d8dea8542a701a2a871d19a5cc9f2159f98db219ba122db6f1e6a3
3
+ size 6289
seed0/checkpoint-450/vocab.json ADDED
The diff for this file is too large to render. See raw diff