Fizzarolli commited on
Commit
368f250
·
verified ·
1 Parent(s): 6d485c8

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-32B-Instruct
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.14.0
adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-32B-Instruct",
5
+ "bias": "none",
6
+ "eva_config": null,
7
+ "exclude_modules": null,
8
+ "fan_in_fan_out": null,
9
+ "inference_mode": true,
10
+ "init_lora_weights": true,
11
+ "layer_replication": null,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_bias": false,
17
+ "lora_dropout": 0.25,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 16,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "up_proj",
27
+ "gate_proj",
28
+ "down_proj",
29
+ "o_proj",
30
+ "k_proj",
31
+ "q_proj",
32
+ "v_proj"
33
+ ],
34
+ "task_type": "CAUSAL_LM",
35
+ "use_dora": false,
36
+ "use_rslora": false
37
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4208c22f02ec1d20e64e574603447d899c68c00088a0bfc6117a3ff736590025
3
+ size 536991984
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:367eb49ae85e6dcc271ba03c267f99f2a789981304340eabcfd403706ed3c77a
3
+ size 273687124
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51cf8735f85209fb6fd127ec019b480a9a8291df44e2b47873a8667972af315f
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57288e4f3164a380773d94f23164864af5e87caea293c5de7d1832b1966f064f
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "model_max_length": 131072,
204
+ "pad_token": "<|endoftext|>",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
trainer_state.json ADDED
@@ -0,0 +1,1783 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0331262939958592,
5
+ "eval_steps": 500,
6
+ "global_step": 250,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.004140786749482402,
13
+ "grad_norm": 0.49736908078193665,
14
+ "learning_rate": 2.4000000000000003e-06,
15
+ "loss": 2.1632,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.008281573498964804,
20
+ "grad_norm": 0.4018385708332062,
21
+ "learning_rate": 4.800000000000001e-06,
22
+ "loss": 2.1448,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.012422360248447204,
27
+ "grad_norm": 0.48689907789230347,
28
+ "learning_rate": 7.2e-06,
29
+ "loss": 2.3454,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.016563146997929608,
34
+ "grad_norm": 0.5226960182189941,
35
+ "learning_rate": 9.600000000000001e-06,
36
+ "loss": 2.0872,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.020703933747412008,
41
+ "grad_norm": 0.44197356700897217,
42
+ "learning_rate": 1.2e-05,
43
+ "loss": 2.0461,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.024844720496894408,
48
+ "grad_norm": 0.3927185833454132,
49
+ "learning_rate": 1.44e-05,
50
+ "loss": 2.0965,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.028985507246376812,
55
+ "grad_norm": 0.37648865580558777,
56
+ "learning_rate": 1.6800000000000002e-05,
57
+ "loss": 1.7218,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.033126293995859216,
62
+ "grad_norm": 0.14497901499271393,
63
+ "learning_rate": 1.9200000000000003e-05,
64
+ "loss": 1.8762,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.037267080745341616,
69
+ "grad_norm": 0.07990705966949463,
70
+ "learning_rate": 2.16e-05,
71
+ "loss": 1.8117,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.041407867494824016,
76
+ "grad_norm": 0.08823492377996445,
77
+ "learning_rate": 2.4e-05,
78
+ "loss": 1.9386,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.045548654244306416,
83
+ "grad_norm": 0.11864794045686722,
84
+ "learning_rate": 2.64e-05,
85
+ "loss": 1.7931,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.049689440993788817,
90
+ "grad_norm": 0.23525194823741913,
91
+ "learning_rate": 2.88e-05,
92
+ "loss": 1.8439,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.053830227743271224,
97
+ "grad_norm": 0.16807658970355988,
98
+ "learning_rate": 3.12e-05,
99
+ "loss": 2.0359,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.057971014492753624,
104
+ "grad_norm": 0.15336070954799652,
105
+ "learning_rate": 3.3600000000000004e-05,
106
+ "loss": 1.9366,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.062111801242236024,
111
+ "grad_norm": 0.18158744275569916,
112
+ "learning_rate": 3.6e-05,
113
+ "loss": 1.8926,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.06625258799171843,
118
+ "grad_norm": 0.12008249014616013,
119
+ "learning_rate": 3.8400000000000005e-05,
120
+ "loss": 1.909,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.07039337474120083,
125
+ "grad_norm": 0.211439311504364,
126
+ "learning_rate": 4.08e-05,
127
+ "loss": 1.8392,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.07453416149068323,
132
+ "grad_norm": 0.173500657081604,
133
+ "learning_rate": 4.32e-05,
134
+ "loss": 1.7849,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.07867494824016563,
139
+ "grad_norm": 0.10626032948493958,
140
+ "learning_rate": 4.5600000000000004e-05,
141
+ "loss": 1.9013,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.08281573498964803,
146
+ "grad_norm": 0.13957469165325165,
147
+ "learning_rate": 4.8e-05,
148
+ "loss": 1.5716,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.08695652173913043,
153
+ "grad_norm": 0.08517848700284958,
154
+ "learning_rate": 5.04e-05,
155
+ "loss": 2.0001,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.09109730848861283,
160
+ "grad_norm": 0.0832364410161972,
161
+ "learning_rate": 5.28e-05,
162
+ "loss": 2.0204,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.09523809523809523,
167
+ "grad_norm": 0.09407418221235275,
168
+ "learning_rate": 5.520000000000001e-05,
169
+ "loss": 1.9757,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.09937888198757763,
174
+ "grad_norm": 0.10470325499773026,
175
+ "learning_rate": 5.76e-05,
176
+ "loss": 1.9063,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.10351966873706005,
181
+ "grad_norm": 0.07362315058708191,
182
+ "learning_rate": 6e-05,
183
+ "loss": 1.9674,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.10766045548654245,
188
+ "grad_norm": 0.07604512572288513,
189
+ "learning_rate": 5.999929114583739e-05,
190
+ "loss": 1.9792,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.11180124223602485,
195
+ "grad_norm": 0.08372924476861954,
196
+ "learning_rate": 5.999716461684787e-05,
197
+ "loss": 1.7242,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.11594202898550725,
202
+ "grad_norm": 0.05084725096821785,
203
+ "learning_rate": 5.9993620513524664e-05,
204
+ "loss": 1.8951,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.12008281573498965,
209
+ "grad_norm": 0.06014450266957283,
210
+ "learning_rate": 5.99886590033513e-05,
211
+ "loss": 1.9171,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.12422360248447205,
216
+ "grad_norm": 0.06821330636739731,
217
+ "learning_rate": 5.9982280320793565e-05,
218
+ "loss": 1.8141,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.12836438923395446,
223
+ "grad_norm": 0.07801458984613419,
224
+ "learning_rate": 5.997448476728852e-05,
225
+ "loss": 1.8132,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.13250517598343686,
230
+ "grad_norm": 0.05670145899057388,
231
+ "learning_rate": 5.9965272711230184e-05,
232
+ "loss": 2.0554,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.13664596273291926,
237
+ "grad_norm": 0.042144160717725754,
238
+ "learning_rate": 5.995464458795218e-05,
239
+ "loss": 1.8347,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.14078674948240166,
244
+ "grad_norm": 0.0534859336912632,
245
+ "learning_rate": 5.994260089970716e-05,
246
+ "loss": 1.7916,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.14492753623188406,
251
+ "grad_norm": 0.06442283093929291,
252
+ "learning_rate": 5.9929142215643e-05,
253
+ "loss": 1.9183,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.14906832298136646,
258
+ "grad_norm": 0.06278888881206512,
259
+ "learning_rate": 5.991426917177598e-05,
260
+ "loss": 1.728,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.15320910973084886,
265
+ "grad_norm": 0.09182301163673401,
266
+ "learning_rate": 5.989798247096073e-05,
267
+ "loss": 1.6317,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.15734989648033126,
272
+ "grad_norm": 0.10667438805103302,
273
+ "learning_rate": 5.988028288285694e-05,
274
+ "loss": 1.9076,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.16149068322981366,
279
+ "grad_norm": 0.0852225124835968,
280
+ "learning_rate": 5.9861171243893064e-05,
281
+ "loss": 1.8946,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.16563146997929606,
286
+ "grad_norm": 0.07862062007188797,
287
+ "learning_rate": 5.984064845722676e-05,
288
+ "loss": 1.8459,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.16977225672877846,
293
+ "grad_norm": 0.07918703556060791,
294
+ "learning_rate": 5.98187154927022e-05,
295
+ "loss": 1.9028,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.17391304347826086,
300
+ "grad_norm": 0.06476736068725586,
301
+ "learning_rate": 5.9795373386804276e-05,
302
+ "loss": 1.9157,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.17805383022774326,
307
+ "grad_norm": 0.06835038214921951,
308
+ "learning_rate": 5.977062324260958e-05,
309
+ "loss": 1.8086,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.18219461697722567,
314
+ "grad_norm": 0.0643422082066536,
315
+ "learning_rate": 5.974446622973429e-05,
316
+ "loss": 1.9354,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.18633540372670807,
321
+ "grad_norm": 0.08603407442569733,
322
+ "learning_rate": 5.9716903584278915e-05,
323
+ "loss": 1.9143,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.19047619047619047,
328
+ "grad_norm": 0.04672611877322197,
329
+ "learning_rate": 5.9687936608769837e-05,
330
+ "loss": 1.7765,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.19461697722567287,
335
+ "grad_norm": 0.04983381927013397,
336
+ "learning_rate": 5.965756667209781e-05,
337
+ "loss": 1.9998,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.19875776397515527,
342
+ "grad_norm": 0.04628973454236984,
343
+ "learning_rate": 5.962579520945323e-05,
344
+ "loss": 1.8665,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.2028985507246377,
349
+ "grad_norm": 0.0615781731903553,
350
+ "learning_rate": 5.959262372225834e-05,
351
+ "loss": 1.8574,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.2070393374741201,
356
+ "grad_norm": 0.06260473281145096,
357
+ "learning_rate": 5.955805377809627e-05,
358
+ "loss": 1.9896,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.2111801242236025,
363
+ "grad_norm": 0.04908996820449829,
364
+ "learning_rate": 5.952208701063691e-05,
365
+ "loss": 1.8685,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.2153209109730849,
370
+ "grad_norm": 0.0652541071176529,
371
+ "learning_rate": 5.94847251195598e-05,
372
+ "loss": 1.9012,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.2194616977225673,
377
+ "grad_norm": 0.05220969021320343,
378
+ "learning_rate": 5.9445969870473745e-05,
379
+ "loss": 1.7153,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.2236024844720497,
384
+ "grad_norm": 0.05003441497683525,
385
+ "learning_rate": 5.940582309483338e-05,
386
+ "loss": 2.0243,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.2277432712215321,
391
+ "grad_norm": 0.04857470095157623,
392
+ "learning_rate": 5.936428668985265e-05,
393
+ "loss": 1.9524,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.2318840579710145,
398
+ "grad_norm": 0.049168910831213,
399
+ "learning_rate": 5.932136261841511e-05,
400
+ "loss": 1.741,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.2360248447204969,
405
+ "grad_norm": 0.057303208857774734,
406
+ "learning_rate": 5.9277052908981214e-05,
407
+ "loss": 1.9622,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.2401656314699793,
412
+ "grad_norm": 0.04970083758234978,
413
+ "learning_rate": 5.923135965549244e-05,
414
+ "loss": 1.7606,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.2443064182194617,
419
+ "grad_norm": 0.048351775854825974,
420
+ "learning_rate": 5.9184285017272304e-05,
421
+ "loss": 2.0664,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.2484472049689441,
426
+ "grad_norm": 0.04087584838271141,
427
+ "learning_rate": 5.9135831218924354e-05,
428
+ "loss": 2.0019,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.2525879917184265,
433
+ "grad_norm": 0.05114104971289635,
434
+ "learning_rate": 5.908600055022705e-05,
435
+ "loss": 1.9351,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.2567287784679089,
440
+ "grad_norm": 0.04958435893058777,
441
+ "learning_rate": 5.9034795366025494e-05,
442
+ "loss": 1.8421,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.2608695652173913,
447
+ "grad_norm": 0.052330292761325836,
448
+ "learning_rate": 5.898221808612025e-05,
449
+ "loss": 1.7381,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.2650103519668737,
454
+ "grad_norm": 0.04455335810780525,
455
+ "learning_rate": 5.8928271195152864e-05,
456
+ "loss": 1.8632,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.2691511387163561,
461
+ "grad_norm": 0.050691474229097366,
462
+ "learning_rate": 5.8872957242488585e-05,
463
+ "loss": 1.998,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.2732919254658385,
468
+ "grad_norm": 0.04122067987918854,
469
+ "learning_rate": 5.881627884209576e-05,
470
+ "loss": 1.8917,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.2774327122153209,
475
+ "grad_norm": 0.04583807662129402,
476
+ "learning_rate": 5.875823867242242e-05,
477
+ "loss": 1.927,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.2815734989648033,
482
+ "grad_norm": 0.06381084024906158,
483
+ "learning_rate": 5.8698839476269585e-05,
484
+ "loss": 1.6846,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.2857142857142857,
489
+ "grad_norm": 0.049351632595062256,
490
+ "learning_rate": 5.863808406066178e-05,
491
+ "loss": 1.9392,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.2898550724637681,
496
+ "grad_norm": 0.06118392199277878,
497
+ "learning_rate": 5.8575975296714274e-05,
498
+ "loss": 1.7415,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.2939958592132505,
503
+ "grad_norm": 0.07954799383878708,
504
+ "learning_rate": 5.851251611949747e-05,
505
+ "loss": 1.8413,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.2981366459627329,
510
+ "grad_norm": 0.045418642461299896,
511
+ "learning_rate": 5.8447709527898164e-05,
512
+ "loss": 1.6506,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.3022774327122153,
517
+ "grad_norm": 0.04858332872390747,
518
+ "learning_rate": 5.838155858447782e-05,
519
+ "loss": 2.0256,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.3064182194616977,
524
+ "grad_norm": 0.046768918633461,
525
+ "learning_rate": 5.831406641532789e-05,
526
+ "loss": 1.9066,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.3105590062111801,
531
+ "grad_norm": 0.05008407309651375,
532
+ "learning_rate": 5.824523620992205e-05,
533
+ "loss": 1.7993,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.3146997929606625,
538
+ "grad_norm": 0.04596088081598282,
539
+ "learning_rate": 5.8175071220965457e-05,
540
+ "loss": 1.8114,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.3188405797101449,
545
+ "grad_norm": 0.048186447471380234,
546
+ "learning_rate": 5.810357476424109e-05,
547
+ "loss": 1.9843,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.32298136645962733,
552
+ "grad_norm": 0.05133625492453575,
553
+ "learning_rate": 5.8030750218453006e-05,
554
+ "loss": 1.7612,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.32712215320910976,
559
+ "grad_norm": 0.04953281581401825,
560
+ "learning_rate": 5.795660102506671e-05,
561
+ "loss": 1.7625,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.33126293995859213,
566
+ "grad_norm": 0.04570222645998001,
567
+ "learning_rate": 5.788113068814648e-05,
568
+ "loss": 1.795,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.33540372670807456,
573
+ "grad_norm": 0.11745952069759369,
574
+ "learning_rate": 5.7804342774189835e-05,
575
+ "loss": 1.7432,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.33954451345755693,
580
+ "grad_norm": 0.05133218690752983,
581
+ "learning_rate": 5.7726240911958916e-05,
582
+ "loss": 1.8884,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.34368530020703936,
587
+ "grad_norm": 0.050902482122182846,
588
+ "learning_rate": 5.7646828792309084e-05,
589
+ "loss": 1.889,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.34782608695652173,
594
+ "grad_norm": 0.05631539598107338,
595
+ "learning_rate": 5.756611016801442e-05,
596
+ "loss": 1.845,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.35196687370600416,
601
+ "grad_norm": 0.05162457004189491,
602
+ "learning_rate": 5.7484088853590474e-05,
603
+ "loss": 1.7412,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.35610766045548653,
608
+ "grad_norm": 0.06242730841040611,
609
+ "learning_rate": 5.740076872511391e-05,
610
+ "loss": 1.941,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.36024844720496896,
615
+ "grad_norm": 0.05125703290104866,
616
+ "learning_rate": 5.731615372003939e-05,
617
+ "loss": 1.7513,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.36438923395445133,
622
+ "grad_norm": 0.056337494403123856,
623
+ "learning_rate": 5.7230247837013484e-05,
624
+ "loss": 1.8812,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.36853002070393376,
629
+ "grad_norm": 0.056918010115623474,
630
+ "learning_rate": 5.714305513568571e-05,
631
+ "loss": 1.6549,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.37267080745341613,
636
+ "grad_norm": 0.04984583333134651,
637
+ "learning_rate": 5.705457973651668e-05,
638
+ "loss": 1.9668,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.37681159420289856,
643
+ "grad_norm": 0.0550064854323864,
644
+ "learning_rate": 5.69648258205834e-05,
645
+ "loss": 1.8977,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.38095238095238093,
650
+ "grad_norm": 0.0585719496011734,
651
+ "learning_rate": 5.6873797629381675e-05,
652
+ "loss": 1.6596,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.38509316770186336,
657
+ "grad_norm": 0.0636669397354126,
658
+ "learning_rate": 5.678149946462564e-05,
659
+ "loss": 1.9142,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.38923395445134573,
664
+ "grad_norm": 0.05703834444284439,
665
+ "learning_rate": 5.6687935688044516e-05,
666
+ "loss": 1.7277,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.39337474120082816,
671
+ "grad_norm": 0.05158121883869171,
672
+ "learning_rate": 5.6593110721176475e-05,
673
+ "loss": 1.9425,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.39751552795031053,
678
+ "grad_norm": 0.053467340767383575,
679
+ "learning_rate": 5.649702904515969e-05,
680
+ "loss": 1.9008,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.40165631469979296,
685
+ "grad_norm": 0.060619086027145386,
686
+ "learning_rate": 5.6399695200520537e-05,
687
+ "loss": 1.7648,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.4057971014492754,
692
+ "grad_norm": 0.05301009491086006,
693
+ "learning_rate": 5.63011137869591e-05,
694
+ "loss": 1.8785,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.40993788819875776,
699
+ "grad_norm": 0.05011270195245743,
700
+ "learning_rate": 5.620128946313172e-05,
701
+ "loss": 1.9473,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.4140786749482402,
706
+ "grad_norm": 0.04839683696627617,
707
+ "learning_rate": 5.610022694643091e-05,
708
+ "loss": 1.8244,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 0.41821946169772256,
713
+ "grad_norm": 0.058406904339790344,
714
+ "learning_rate": 5.5997931012762374e-05,
715
+ "loss": 1.7561,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 0.422360248447205,
720
+ "grad_norm": 0.04675458371639252,
721
+ "learning_rate": 5.589440649631933e-05,
722
+ "loss": 1.964,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 0.42650103519668736,
727
+ "grad_norm": 0.05772264674305916,
728
+ "learning_rate": 5.578965828935409e-05,
729
+ "loss": 1.8115,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 0.4306418219461698,
734
+ "grad_norm": 0.05551251769065857,
735
+ "learning_rate": 5.568369134194681e-05,
736
+ "loss": 1.6467,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 0.43478260869565216,
741
+ "grad_norm": 0.05348852276802063,
742
+ "learning_rate": 5.557651066177161e-05,
743
+ "loss": 1.7895,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 0.4389233954451346,
748
+ "grad_norm": 0.051892660558223724,
749
+ "learning_rate": 5.546812131385991e-05,
750
+ "loss": 1.7947,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 0.44306418219461696,
755
+ "grad_norm": 0.058433856815099716,
756
+ "learning_rate": 5.535852842036107e-05,
757
+ "loss": 1.8444,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 0.4472049689440994,
762
+ "grad_norm": 0.059038013219833374,
763
+ "learning_rate": 5.5247737160300346e-05,
764
+ "loss": 1.8436,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 0.45134575569358176,
769
+ "grad_norm": 0.052642837166786194,
770
+ "learning_rate": 5.513575276933413e-05,
771
+ "loss": 1.9976,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 0.4554865424430642,
776
+ "grad_norm": 0.05203791335225105,
777
+ "learning_rate": 5.502258053950253e-05,
778
+ "loss": 1.8925,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 0.45962732919254656,
783
+ "grad_norm": 0.05623999238014221,
784
+ "learning_rate": 5.490822581897929e-05,
785
+ "loss": 1.81,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 0.463768115942029,
790
+ "grad_norm": 0.06250981241464615,
791
+ "learning_rate": 5.479269401181907e-05,
792
+ "loss": 1.6598,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 0.46790890269151136,
797
+ "grad_norm": 0.06358765810728073,
798
+ "learning_rate": 5.4675990577702005e-05,
799
+ "loss": 1.6401,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 0.4720496894409938,
804
+ "grad_norm": 0.058844760060310364,
805
+ "learning_rate": 5.455812103167579e-05,
806
+ "loss": 1.7858,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 0.47619047619047616,
811
+ "grad_norm": 0.06053264066576958,
812
+ "learning_rate": 5.443909094389497e-05,
813
+ "loss": 1.7032,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 0.4803312629399586,
818
+ "grad_norm": 0.05357799679040909,
819
+ "learning_rate": 5.4318905939357756e-05,
820
+ "loss": 1.6963,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 0.484472049689441,
825
+ "grad_norm": 0.05877089872956276,
826
+ "learning_rate": 5.4197571697640206e-05,
827
+ "loss": 1.721,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 0.4886128364389234,
832
+ "grad_norm": 0.05849786847829819,
833
+ "learning_rate": 5.40750939526278e-05,
834
+ "loss": 1.9869,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 0.4927536231884058,
839
+ "grad_norm": 0.06864643096923828,
840
+ "learning_rate": 5.395147849224451e-05,
841
+ "loss": 1.7978,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 0.4968944099378882,
846
+ "grad_norm": 0.06335002183914185,
847
+ "learning_rate": 5.382673115817923e-05,
848
+ "loss": 2.163,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 0.5010351966873706,
853
+ "grad_norm": 0.06154783070087433,
854
+ "learning_rate": 5.3700857845609764e-05,
855
+ "loss": 2.0194,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 0.505175983436853,
860
+ "grad_norm": 0.06728032231330872,
861
+ "learning_rate": 5.357386450292422e-05,
862
+ "loss": 1.7549,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 0.5093167701863354,
867
+ "grad_norm": 0.05433879792690277,
868
+ "learning_rate": 5.3445757131439915e-05,
869
+ "loss": 1.9202,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 0.5134575569358178,
874
+ "grad_norm": 0.05439319089055061,
875
+ "learning_rate": 5.3316541785119734e-05,
876
+ "loss": 1.826,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 0.5175983436853002,
881
+ "grad_norm": 0.0665251687169075,
882
+ "learning_rate": 5.318622457028609e-05,
883
+ "loss": 1.435,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 0.5217391304347826,
888
+ "grad_norm": 0.05804029107093811,
889
+ "learning_rate": 5.305481164533233e-05,
890
+ "loss": 1.827,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 0.525879917184265,
895
+ "grad_norm": 0.06869634985923767,
896
+ "learning_rate": 5.292230922043171e-05,
897
+ "loss": 1.8714,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 0.5300207039337475,
902
+ "grad_norm": 0.056967902928590775,
903
+ "learning_rate": 5.2788723557243936e-05,
904
+ "loss": 1.7836,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 0.5341614906832298,
909
+ "grad_norm": 0.06087717413902283,
910
+ "learning_rate": 5.265406096861923e-05,
911
+ "loss": 1.661,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 0.5383022774327122,
916
+ "grad_norm": 0.0705471932888031,
917
+ "learning_rate": 5.251832781830002e-05,
918
+ "loss": 1.8054,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 0.5424430641821946,
923
+ "grad_norm": 0.06314948201179504,
924
+ "learning_rate": 5.238153052062022e-05,
925
+ "loss": 1.786,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 0.546583850931677,
930
+ "grad_norm": 0.06368881464004517,
931
+ "learning_rate": 5.224367554020208e-05,
932
+ "loss": 2.0254,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 0.5507246376811594,
937
+ "grad_norm": 0.06457039713859558,
938
+ "learning_rate": 5.2104769391650726e-05,
939
+ "loss": 1.8116,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 0.5548654244306418,
944
+ "grad_norm": 0.056793998926877975,
945
+ "learning_rate": 5.196481863924626e-05,
946
+ "loss": 1.8454,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 0.5590062111801242,
951
+ "grad_norm": 0.058062594383955,
952
+ "learning_rate": 5.182382989663357e-05,
953
+ "loss": 1.8074,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 0.5631469979296067,
958
+ "grad_norm": 0.05942286178469658,
959
+ "learning_rate": 5.16818098265098e-05,
960
+ "loss": 1.9194,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 0.567287784679089,
965
+ "grad_norm": 0.0624711774289608,
966
+ "learning_rate": 5.153876514030948e-05,
967
+ "loss": 1.8713,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 0.5714285714285714,
972
+ "grad_norm": 0.06994223594665527,
973
+ "learning_rate": 5.139470259788736e-05,
974
+ "loss": 1.8384,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 0.5755693581780539,
979
+ "grad_norm": 0.06756718456745148,
980
+ "learning_rate": 5.124962900719895e-05,
981
+ "loss": 1.7687,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 0.5797101449275363,
986
+ "grad_norm": 0.08007334172725677,
987
+ "learning_rate": 5.110355122397885e-05,
988
+ "loss": 1.7295,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 0.5838509316770186,
993
+ "grad_norm": 0.06464424729347229,
994
+ "learning_rate": 5.095647615141668e-05,
995
+ "loss": 1.9968,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 0.587991718426501,
1000
+ "grad_norm": 0.062113020569086075,
1001
+ "learning_rate": 5.080841073983095e-05,
1002
+ "loss": 1.7497,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 0.5921325051759835,
1007
+ "grad_norm": 0.06131444498896599,
1008
+ "learning_rate": 5.0659361986340544e-05,
1009
+ "loss": 1.7768,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 0.5962732919254659,
1014
+ "grad_norm": 0.06630904972553253,
1015
+ "learning_rate": 5.0509336934534086e-05,
1016
+ "loss": 1.9866,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 0.6004140786749482,
1021
+ "grad_norm": 0.06003854051232338,
1022
+ "learning_rate": 5.035834267413708e-05,
1023
+ "loss": 1.8859,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 0.6045548654244306,
1028
+ "grad_norm": 0.07283063977956772,
1029
+ "learning_rate": 5.020638634067685e-05,
1030
+ "loss": 1.8534,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 0.6086956521739131,
1035
+ "grad_norm": 0.06754714250564575,
1036
+ "learning_rate": 5.005347511514537e-05,
1037
+ "loss": 1.5808,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 0.6128364389233955,
1042
+ "grad_norm": 0.060414694249629974,
1043
+ "learning_rate": 4.9899616223659886e-05,
1044
+ "loss": 1.8807,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 0.6169772256728778,
1049
+ "grad_norm": 0.05546625331044197,
1050
+ "learning_rate": 4.974481693712145e-05,
1051
+ "loss": 1.937,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 0.6211180124223602,
1056
+ "grad_norm": 0.07293254137039185,
1057
+ "learning_rate": 4.95890845708713e-05,
1058
+ "loss": 1.8542,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 0.6252587991718427,
1063
+ "grad_norm": 0.07628627121448517,
1064
+ "learning_rate": 4.943242648434515e-05,
1065
+ "loss": 1.5924,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 0.629399585921325,
1070
+ "grad_norm": 0.09479758888483047,
1071
+ "learning_rate": 4.927485008072549e-05,
1072
+ "loss": 1.7652,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 0.6335403726708074,
1077
+ "grad_norm": 0.061082031577825546,
1078
+ "learning_rate": 4.911636280659161e-05,
1079
+ "loss": 1.7477,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 0.6376811594202898,
1084
+ "grad_norm": 0.06984806805849075,
1085
+ "learning_rate": 4.8956972151567766e-05,
1086
+ "loss": 1.9104,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 0.6418219461697723,
1091
+ "grad_norm": 0.09679781645536423,
1092
+ "learning_rate": 4.8796685647969267e-05,
1093
+ "loss": 1.7935,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 0.6459627329192547,
1098
+ "grad_norm": 0.06585158407688141,
1099
+ "learning_rate": 4.8635510870446435e-05,
1100
+ "loss": 1.6618,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 0.650103519668737,
1105
+ "grad_norm": 0.07509002834558487,
1106
+ "learning_rate": 4.8473455435626754e-05,
1107
+ "loss": 1.7686,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 0.6542443064182195,
1112
+ "grad_norm": 0.07331015914678574,
1113
+ "learning_rate": 4.8310527001754874e-05,
1114
+ "loss": 1.7972,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 0.6583850931677019,
1119
+ "grad_norm": 0.07571995258331299,
1120
+ "learning_rate": 4.814673326833067e-05,
1121
+ "loss": 1.798,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 0.6625258799171843,
1126
+ "grad_norm": 0.05544979125261307,
1127
+ "learning_rate": 4.7982081975745476e-05,
1128
+ "loss": 1.8603,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 0.6666666666666666,
1133
+ "grad_norm": 0.06246506795287132,
1134
+ "learning_rate": 4.781658090491623e-05,
1135
+ "loss": 2.0877,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 0.6708074534161491,
1140
+ "grad_norm": 0.057248059660196304,
1141
+ "learning_rate": 4.765023787691779e-05,
1142
+ "loss": 1.857,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 0.6749482401656315,
1147
+ "grad_norm": 0.0628746747970581,
1148
+ "learning_rate": 4.748306075261335e-05,
1149
+ "loss": 1.805,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 0.6790890269151139,
1154
+ "grad_norm": 0.06979019939899445,
1155
+ "learning_rate": 4.731505743228294e-05,
1156
+ "loss": 1.7996,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 0.6832298136645962,
1161
+ "grad_norm": 0.058253347873687744,
1162
+ "learning_rate": 4.714623585525009e-05,
1163
+ "loss": 1.9695,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 0.6873706004140787,
1168
+ "grad_norm": 0.05848124623298645,
1169
+ "learning_rate": 4.697660399950663e-05,
1170
+ "loss": 1.7858,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 0.6915113871635611,
1175
+ "grad_norm": 0.0602106973528862,
1176
+ "learning_rate": 4.680616988133572e-05,
1177
+ "loss": 1.9007,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 0.6956521739130435,
1182
+ "grad_norm": 0.06956855952739716,
1183
+ "learning_rate": 4.663494155493296e-05,
1184
+ "loss": 1.8796,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 0.6997929606625258,
1189
+ "grad_norm": 0.055345602333545685,
1190
+ "learning_rate": 4.64629271120258e-05,
1191
+ "loss": 1.7476,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 0.7039337474120083,
1196
+ "grad_norm": 0.06562691926956177,
1197
+ "learning_rate": 4.6290134681491165e-05,
1198
+ "loss": 1.7378,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 0.7080745341614907,
1203
+ "grad_norm": 0.07123929262161255,
1204
+ "learning_rate": 4.611657242897131e-05,
1205
+ "loss": 1.7195,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 0.7122153209109731,
1210
+ "grad_norm": 0.07925646752119064,
1211
+ "learning_rate": 4.5942248556487914e-05,
1212
+ "loss": 1.8299,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 0.7163561076604554,
1217
+ "grad_norm": 0.088850237429142,
1218
+ "learning_rate": 4.576717130205448e-05,
1219
+ "loss": 1.8684,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 0.7204968944099379,
1224
+ "grad_norm": 0.06837620586156845,
1225
+ "learning_rate": 4.559134893928705e-05,
1226
+ "loss": 1.7766,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 0.7246376811594203,
1231
+ "grad_norm": 0.06634443253278732,
1232
+ "learning_rate": 4.541478977701321e-05,
1233
+ "loss": 1.8053,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 0.7287784679089027,
1238
+ "grad_norm": 0.06066809594631195,
1239
+ "learning_rate": 4.523750215887942e-05,
1240
+ "loss": 2.0255,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 0.7329192546583851,
1245
+ "grad_norm": 0.07539010792970657,
1246
+ "learning_rate": 4.505949446295677e-05,
1247
+ "loss": 1.902,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 0.7370600414078675,
1252
+ "grad_norm": 0.08485755324363708,
1253
+ "learning_rate": 4.488077510134499e-05,
1254
+ "loss": 1.752,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 0.7412008281573499,
1259
+ "grad_norm": 0.06715612858533859,
1260
+ "learning_rate": 4.4701352519774986e-05,
1261
+ "loss": 1.8651,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 0.7453416149068323,
1266
+ "grad_norm": 0.05764465034008026,
1267
+ "learning_rate": 4.4521235197209686e-05,
1268
+ "loss": 1.9279,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 0.7494824016563147,
1273
+ "grad_norm": 0.0972018614411354,
1274
+ "learning_rate": 4.434043164544333e-05,
1275
+ "loss": 1.7838,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 0.7536231884057971,
1280
+ "grad_norm": 0.06594452261924744,
1281
+ "learning_rate": 4.415895040869929e-05,
1282
+ "loss": 1.8846,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 0.7577639751552795,
1287
+ "grad_norm": 0.0821613073348999,
1288
+ "learning_rate": 4.397680006322622e-05,
1289
+ "loss": 1.5778,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 0.7619047619047619,
1294
+ "grad_norm": 0.07455030083656311,
1295
+ "learning_rate": 4.379398921689284e-05,
1296
+ "loss": 1.9354,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 0.7660455486542443,
1301
+ "grad_norm": 0.07369917631149292,
1302
+ "learning_rate": 4.361052650878111e-05,
1303
+ "loss": 1.6528,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 0.7701863354037267,
1308
+ "grad_norm": 0.06145176291465759,
1309
+ "learning_rate": 4.342642060877798e-05,
1310
+ "loss": 1.8605,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 0.7743271221532091,
1315
+ "grad_norm": 0.0714261382818222,
1316
+ "learning_rate": 4.324168021716568e-05,
1317
+ "loss": 1.9954,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 0.7784679089026915,
1322
+ "grad_norm": 0.07373001426458359,
1323
+ "learning_rate": 4.30563140642106e-05,
1324
+ "loss": 1.6576,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 0.782608695652174,
1329
+ "grad_norm": 0.08491583913564682,
1330
+ "learning_rate": 4.287033090975068e-05,
1331
+ "loss": 1.8222,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 0.7867494824016563,
1336
+ "grad_norm": 0.08685383945703506,
1337
+ "learning_rate": 4.268373954278145e-05,
1338
+ "loss": 1.7194,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 0.7908902691511387,
1343
+ "grad_norm": 0.0834331288933754,
1344
+ "learning_rate": 4.249654878104073e-05,
1345
+ "loss": 1.7173,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 0.7950310559006211,
1350
+ "grad_norm": 0.09984423220157623,
1351
+ "learning_rate": 4.230876747059192e-05,
1352
+ "loss": 1.7618,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 0.7991718426501035,
1357
+ "grad_norm": 0.0643148198723793,
1358
+ "learning_rate": 4.2120404485405886e-05,
1359
+ "loss": 1.8246,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 0.8033126293995859,
1364
+ "grad_norm": 0.06520809233188629,
1365
+ "learning_rate": 4.193146872694173e-05,
1366
+ "loss": 1.827,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 0.8074534161490683,
1371
+ "grad_norm": 0.07631880044937134,
1372
+ "learning_rate": 4.174196912372605e-05,
1373
+ "loss": 1.9521,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 0.8115942028985508,
1378
+ "grad_norm": 0.08804851770401001,
1379
+ "learning_rate": 4.1551914630930986e-05,
1380
+ "loss": 1.8057,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 0.8157349896480331,
1385
+ "grad_norm": 0.10719820857048035,
1386
+ "learning_rate": 4.1361314229951114e-05,
1387
+ "loss": 1.7777,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 0.8198757763975155,
1392
+ "grad_norm": 0.09046828001737595,
1393
+ "learning_rate": 4.117017692797894e-05,
1394
+ "loss": 1.8581,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 0.8240165631469979,
1399
+ "grad_norm": 0.06453605741262436,
1400
+ "learning_rate": 4.0978511757579266e-05,
1401
+ "loss": 1.7737,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 0.8281573498964804,
1406
+ "grad_norm": 0.06556473672389984,
1407
+ "learning_rate": 4.0786327776262355e-05,
1408
+ "loss": 1.8843,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 0.8322981366459627,
1413
+ "grad_norm": 0.07110321521759033,
1414
+ "learning_rate": 4.059363406605589e-05,
1415
+ "loss": 1.8864,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 0.8364389233954451,
1420
+ "grad_norm": 0.06083063408732414,
1421
+ "learning_rate": 4.0400439733075764e-05,
1422
+ "loss": 1.6101,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 0.8405797101449275,
1427
+ "grad_norm": 0.0694584771990776,
1428
+ "learning_rate": 4.020675390709579e-05,
1429
+ "loss": 1.7452,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 0.84472049689441,
1434
+ "grad_norm": 0.08408311009407043,
1435
+ "learning_rate": 4.001258574111624e-05,
1436
+ "loss": 1.7393,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 0.8488612836438924,
1441
+ "grad_norm": 0.06838119029998779,
1442
+ "learning_rate": 3.9817944410931276e-05,
1443
+ "loss": 1.9128,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 0.8530020703933747,
1448
+ "grad_norm": 0.06725747138261795,
1449
+ "learning_rate": 3.962283911469539e-05,
1450
+ "loss": 1.8047,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 0.8571428571428571,
1455
+ "grad_norm": 0.07443306595087051,
1456
+ "learning_rate": 3.942727907248867e-05,
1457
+ "loss": 1.8384,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 0.8612836438923396,
1462
+ "grad_norm": 0.05935392156243324,
1463
+ "learning_rate": 3.923127352588112e-05,
1464
+ "loss": 1.9675,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 0.865424430641822,
1469
+ "grad_norm": 0.07299666106700897,
1470
+ "learning_rate": 3.903483173749589e-05,
1471
+ "loss": 2.092,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 0.8695652173913043,
1476
+ "grad_norm": 0.062474749982357025,
1477
+ "learning_rate": 3.883796299057164e-05,
1478
+ "loss": 1.8276,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 0.8737060041407867,
1483
+ "grad_norm": 0.059401869773864746,
1484
+ "learning_rate": 3.8640676588523735e-05,
1485
+ "loss": 1.7309,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 0.8778467908902692,
1490
+ "grad_norm": 0.1073634922504425,
1491
+ "learning_rate": 3.844298185450466e-05,
1492
+ "loss": 1.6717,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 0.8819875776397516,
1497
+ "grad_norm": 0.06048239767551422,
1498
+ "learning_rate": 3.824488813096342e-05,
1499
+ "loss": 1.854,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 0.8861283643892339,
1504
+ "grad_norm": 0.06702765077352524,
1505
+ "learning_rate": 3.804640477920406e-05,
1506
+ "loss": 1.8754,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 0.8902691511387164,
1511
+ "grad_norm": 0.07091647386550903,
1512
+ "learning_rate": 3.784754117894326e-05,
1513
+ "loss": 1.8767,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 0.8944099378881988,
1518
+ "grad_norm": 0.06531751155853271,
1519
+ "learning_rate": 3.764830672786705e-05,
1520
+ "loss": 1.776,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 0.8985507246376812,
1525
+ "grad_norm": 0.09837061166763306,
1526
+ "learning_rate": 3.744871084118679e-05,
1527
+ "loss": 1.7286,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 0.9026915113871635,
1532
+ "grad_norm": 0.08499777317047119,
1533
+ "learning_rate": 3.7248762951194145e-05,
1534
+ "loss": 1.7482,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 0.906832298136646,
1539
+ "grad_norm": 0.06564295291900635,
1540
+ "learning_rate": 3.704847250681538e-05,
1541
+ "loss": 1.7492,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 0.9109730848861284,
1546
+ "grad_norm": 0.0832459032535553,
1547
+ "learning_rate": 3.684784897316485e-05,
1548
+ "loss": 1.8582,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 0.9151138716356108,
1553
+ "grad_norm": 0.061843667179346085,
1554
+ "learning_rate": 3.6646901831097695e-05,
1555
+ "loss": 1.8591,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 0.9192546583850931,
1560
+ "grad_norm": 0.09650903940200806,
1561
+ "learning_rate": 3.6445640576761774e-05,
1562
+ "loss": 1.676,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 0.9233954451345756,
1567
+ "grad_norm": 0.13103087246418,
1568
+ "learning_rate": 3.6244074721148947e-05,
1569
+ "loss": 1.6361,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 0.927536231884058,
1574
+ "grad_norm": 0.07348862290382385,
1575
+ "learning_rate": 3.6042213789645626e-05,
1576
+ "loss": 1.7993,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 0.9316770186335404,
1581
+ "grad_norm": 0.06679573655128479,
1582
+ "learning_rate": 3.584006732158255e-05,
1583
+ "loss": 1.9934,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 0.9358178053830227,
1588
+ "grad_norm": 0.06558524817228317,
1589
+ "learning_rate": 3.5637644869784075e-05,
1590
+ "loss": 1.8979,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 0.9399585921325052,
1595
+ "grad_norm": 0.0905718207359314,
1596
+ "learning_rate": 3.543495600011674e-05,
1597
+ "loss": 1.9162,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 0.9440993788819876,
1602
+ "grad_norm": 0.08884776383638382,
1603
+ "learning_rate": 3.523201029103711e-05,
1604
+ "loss": 1.884,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 0.94824016563147,
1609
+ "grad_norm": 0.10564474761486053,
1610
+ "learning_rate": 3.502881733313924e-05,
1611
+ "loss": 1.7368,
1612
+ "step": 229
1613
+ },
1614
+ {
1615
+ "epoch": 0.9523809523809523,
1616
+ "grad_norm": 0.06858230382204056,
1617
+ "learning_rate": 3.482538672870141e-05,
1618
+ "loss": 2.0018,
1619
+ "step": 230
1620
+ },
1621
+ {
1622
+ "epoch": 0.9565217391304348,
1623
+ "grad_norm": 0.06798145174980164,
1624
+ "learning_rate": 3.462172809123231e-05,
1625
+ "loss": 1.9542,
1626
+ "step": 231
1627
+ },
1628
+ {
1629
+ "epoch": 0.9606625258799172,
1630
+ "grad_norm": 0.0749635100364685,
1631
+ "learning_rate": 3.441785104501683e-05,
1632
+ "loss": 1.8139,
1633
+ "step": 232
1634
+ },
1635
+ {
1636
+ "epoch": 0.9648033126293996,
1637
+ "grad_norm": 0.06580834090709686,
1638
+ "learning_rate": 3.421376522466114e-05,
1639
+ "loss": 1.8621,
1640
+ "step": 233
1641
+ },
1642
+ {
1643
+ "epoch": 0.968944099378882,
1644
+ "grad_norm": 0.10760274529457092,
1645
+ "learning_rate": 3.400948027463747e-05,
1646
+ "loss": 1.7851,
1647
+ "step": 234
1648
+ },
1649
+ {
1650
+ "epoch": 0.9730848861283644,
1651
+ "grad_norm": 0.09195095300674438,
1652
+ "learning_rate": 3.38050058488283e-05,
1653
+ "loss": 1.8275,
1654
+ "step": 235
1655
+ },
1656
+ {
1657
+ "epoch": 0.9772256728778468,
1658
+ "grad_norm": 0.09066396951675415,
1659
+ "learning_rate": 3.3600351610070144e-05,
1660
+ "loss": 1.7884,
1661
+ "step": 236
1662
+ },
1663
+ {
1664
+ "epoch": 0.9813664596273292,
1665
+ "grad_norm": 0.09388420730829239,
1666
+ "learning_rate": 3.339552722969695e-05,
1667
+ "loss": 1.8267,
1668
+ "step": 237
1669
+ },
1670
+ {
1671
+ "epoch": 0.9855072463768116,
1672
+ "grad_norm": 0.07875888049602509,
1673
+ "learning_rate": 3.319054238708301e-05,
1674
+ "loss": 1.8035,
1675
+ "step": 238
1676
+ },
1677
+ {
1678
+ "epoch": 0.989648033126294,
1679
+ "grad_norm": 0.09944237768650055,
1680
+ "learning_rate": 3.298540676918562e-05,
1681
+ "loss": 1.5542,
1682
+ "step": 239
1683
+ },
1684
+ {
1685
+ "epoch": 0.9937888198757764,
1686
+ "grad_norm": 0.11820376664400101,
1687
+ "learning_rate": 3.2780130070087196e-05,
1688
+ "loss": 1.7907,
1689
+ "step": 240
1690
+ },
1691
+ {
1692
+ "epoch": 0.9979296066252588,
1693
+ "grad_norm": 0.0819728672504425,
1694
+ "learning_rate": 3.2574721990537245e-05,
1695
+ "loss": 1.8663,
1696
+ "step": 241
1697
+ },
1698
+ {
1699
+ "epoch": 1.0,
1700
+ "grad_norm": 0.08972211927175522,
1701
+ "learning_rate": 3.236919223749394e-05,
1702
+ "loss": 1.9601,
1703
+ "step": 242
1704
+ },
1705
+ {
1706
+ "epoch": 1.0041407867494825,
1707
+ "grad_norm": 0.0647214949131012,
1708
+ "learning_rate": 3.216355052366532e-05,
1709
+ "loss": 1.8954,
1710
+ "step": 243
1711
+ },
1712
+ {
1713
+ "epoch": 1.0082815734989647,
1714
+ "grad_norm": 0.08813779801130295,
1715
+ "learning_rate": 3.195780656705039e-05,
1716
+ "loss": 1.6085,
1717
+ "step": 244
1718
+ },
1719
+ {
1720
+ "epoch": 1.0124223602484472,
1721
+ "grad_norm": 0.1159641295671463,
1722
+ "learning_rate": 3.175197009047982e-05,
1723
+ "loss": 1.6147,
1724
+ "step": 245
1725
+ },
1726
+ {
1727
+ "epoch": 1.0165631469979297,
1728
+ "grad_norm": 0.12031491100788116,
1729
+ "learning_rate": 3.1546050821156486e-05,
1730
+ "loss": 1.6832,
1731
+ "step": 246
1732
+ },
1733
+ {
1734
+ "epoch": 1.020703933747412,
1735
+ "grad_norm": 0.14147016406059265,
1736
+ "learning_rate": 3.1340058490195815e-05,
1737
+ "loss": 1.6109,
1738
+ "step": 247
1739
+ },
1740
+ {
1741
+ "epoch": 1.0248447204968945,
1742
+ "grad_norm": 0.09276167303323746,
1743
+ "learning_rate": 3.113400283216587e-05,
1744
+ "loss": 1.7716,
1745
+ "step": 248
1746
+ },
1747
+ {
1748
+ "epoch": 1.0289855072463767,
1749
+ "grad_norm": 0.21230283379554749,
1750
+ "learning_rate": 3.0927893584627405e-05,
1751
+ "loss": 1.6087,
1752
+ "step": 249
1753
+ },
1754
+ {
1755
+ "epoch": 1.0331262939958592,
1756
+ "grad_norm": 0.115353524684906,
1757
+ "learning_rate": 3.0721740487673606e-05,
1758
+ "loss": 1.6034,
1759
+ "step": 250
1760
+ }
1761
+ ],
1762
+ "logging_steps": 1,
1763
+ "max_steps": 482,
1764
+ "num_input_tokens_seen": 0,
1765
+ "num_train_epochs": 2,
1766
+ "save_steps": 25,
1767
+ "stateful_callbacks": {
1768
+ "TrainerControl": {
1769
+ "args": {
1770
+ "should_epoch_stop": false,
1771
+ "should_evaluate": false,
1772
+ "should_log": false,
1773
+ "should_save": true,
1774
+ "should_training_stop": false
1775
+ },
1776
+ "attributes": {}
1777
+ }
1778
+ },
1779
+ "total_flos": 6.302325934758298e+18,
1780
+ "train_batch_size": 8,
1781
+ "trial_name": null,
1782
+ "trial_params": null
1783
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1202ca9af971f7cecd3dea3b295dc58192e967f1f06134e1c6718d9c9fdfb141
3
+ size 6712
vocab.json ADDED
The diff for this file is too large to render. See raw diff