haihp02 commited on
Commit
77f9853
·
verified ·
1 Parent(s): e1ca230

Upload task output 1

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 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-3B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:/cache/models/Qwen--Qwen2.5-3B-Instruct
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ ---
12
+
13
+ # Model Card for Model ID
14
+
15
+ <!-- Provide a quick summary of what the model is/does. -->
16
+
17
+
18
+
19
+ ## Model Details
20
+
21
+ ### Model Description
22
+
23
+ <!-- Provide a longer summary of what this model is. -->
24
+
25
+
26
+
27
+ - **Developed by:** [More Information Needed]
28
+ - **Funded by [optional]:** [More Information Needed]
29
+ - **Shared by [optional]:** [More Information Needed]
30
+ - **Model type:** [More Information Needed]
31
+ - **Language(s) (NLP):** [More Information Needed]
32
+ - **License:** [More Information Needed]
33
+ - **Finetuned from model [optional]:** [More Information Needed]
34
+
35
+ ### Model Sources [optional]
36
+
37
+ <!-- Provide the basic links for the model. -->
38
+
39
+ - **Repository:** [More Information Needed]
40
+ - **Paper [optional]:** [More Information Needed]
41
+ - **Demo [optional]:** [More Information Needed]
42
+
43
+ ## Uses
44
+
45
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
+
47
+ ### Direct Use
48
+
49
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
+
51
+ [More Information Needed]
52
+
53
+ ### Downstream Use [optional]
54
+
55
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
+
57
+ [More Information Needed]
58
+
59
+ ### Out-of-Scope Use
60
+
61
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
+
63
+ [More Information Needed]
64
+
65
+ ## Bias, Risks, and Limitations
66
+
67
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
+
69
+ [More Information Needed]
70
+
71
+ ### Recommendations
72
+
73
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
+
75
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
+
77
+ ## How to Get Started with the Model
78
+
79
+ Use the code below to get started with the model.
80
+
81
+ [More Information Needed]
82
+
83
+ ## Training Details
84
+
85
+ ### Training Data
86
+
87
+ <!-- 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. -->
88
+
89
+ [More Information Needed]
90
+
91
+ ### Training Procedure
92
+
93
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
+
95
+ #### Preprocessing [optional]
96
+
97
+ [More Information Needed]
98
+
99
+
100
+ #### Training Hyperparameters
101
+
102
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
+
104
+ #### Speeds, Sizes, Times [optional]
105
+
106
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
+
108
+ [More Information Needed]
109
+
110
+ ## Evaluation
111
+
112
+ <!-- This section describes the evaluation protocols and provides the results. -->
113
+
114
+ ### Testing Data, Factors & Metrics
115
+
116
+ #### Testing Data
117
+
118
+ <!-- This should link to a Dataset Card if possible. -->
119
+
120
+ [More Information Needed]
121
+
122
+ #### Factors
123
+
124
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
+
126
+ [More Information Needed]
127
+
128
+ #### Metrics
129
+
130
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
+
132
+ [More Information Needed]
133
+
134
+ ### Results
135
+
136
+ [More Information Needed]
137
+
138
+ #### Summary
139
+
140
+
141
+
142
+ ## Model Examination [optional]
143
+
144
+ <!-- Relevant interpretability work for the model goes here -->
145
+
146
+ [More Information Needed]
147
+
148
+ ## Environmental Impact
149
+
150
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
+
152
+ 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).
153
+
154
+ - **Hardware Type:** [More Information Needed]
155
+ - **Hours used:** [More Information Needed]
156
+ - **Cloud Provider:** [More Information Needed]
157
+ - **Compute Region:** [More Information Needed]
158
+ - **Carbon Emitted:** [More Information Needed]
159
+
160
+ ## Technical Specifications [optional]
161
+
162
+ ### Model Architecture and Objective
163
+
164
+ [More Information Needed]
165
+
166
+ ### Compute Infrastructure
167
+
168
+ [More Information Needed]
169
+
170
+ #### Hardware
171
+
172
+ [More Information Needed]
173
+
174
+ #### Software
175
+
176
+ [More Information Needed]
177
+
178
+ ## Citation [optional]
179
+
180
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
+
182
+ **BibTeX:**
183
+
184
+ [More Information Needed]
185
+
186
+ **APA:**
187
+
188
+ [More Information Needed]
189
+
190
+ ## Glossary [optional]
191
+
192
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
+
194
+ [More Information Needed]
195
+
196
+ ## More Information [optional]
197
+
198
+ [More Information Needed]
199
+
200
+ ## Model Card Authors [optional]
201
+
202
+ [More Information Needed]
203
+
204
+ ## Model Card Contact
205
+
206
+ [More Information Needed]
207
+ ### Framework versions
208
+
209
+ - PEFT 0.18.1
adapter_config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 256,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "megatron_config": null,
23
+ "megatron_core": "megatron.core",
24
+ "modules_to_save": null,
25
+ "peft_type": "LORA",
26
+ "peft_version": "0.18.1",
27
+ "qalora_group_size": 16,
28
+ "r": 128,
29
+ "rank_pattern": {},
30
+ "revision": null,
31
+ "target_modules": [
32
+ "up_proj",
33
+ "k_proj",
34
+ "o_proj",
35
+ "gate_proj",
36
+ "down_proj",
37
+ "v_proj",
38
+ "q_proj"
39
+ ],
40
+ "target_parameters": null,
41
+ "task_type": "CAUSAL_LM",
42
+ "trainable_token_indices": null,
43
+ "use_dora": false,
44
+ "use_qalora": false,
45
+ "use_rslora": false
46
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0733808bfab15a29a5c62c13ab54987b147477454f64539eee96c0573076c642
3
+ size 957942768
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
loss.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ 337,no_eval
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
trainer_state.json ADDED
@@ -0,0 +1,637 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.35362014690451204,
6
+ "eval_steps": 500,
7
+ "global_step": 337,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.005246589716684155,
14
+ "grad_norm": 8.869540214538574,
15
+ "learning_rate": 8.401166180758017e-06,
16
+ "loss": 0.9257,
17
+ "mean_token_accuracy": 0.8380203127861023,
18
+ "num_tokens": 289686.0,
19
+ "step": 5
20
+ },
21
+ {
22
+ "epoch": 0.01049317943336831,
23
+ "grad_norm": 1.9420901536941528,
24
+ "learning_rate": 1.8902623906705538e-05,
25
+ "loss": 0.5266,
26
+ "mean_token_accuracy": 0.8593480110168457,
27
+ "num_tokens": 584447.0,
28
+ "step": 10
29
+ },
30
+ {
31
+ "epoch": 0.015739769150052464,
32
+ "grad_norm": 1.2173879146575928,
33
+ "learning_rate": 2.9404081632653062e-05,
34
+ "loss": 0.3377,
35
+ "mean_token_accuracy": 0.894003939628601,
36
+ "num_tokens": 865283.0,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.02098635886673662,
41
+ "grad_norm": 0.9192031621932983,
42
+ "learning_rate": 3.990553935860058e-05,
43
+ "loss": 0.3091,
44
+ "mean_token_accuracy": 0.9075875878334045,
45
+ "num_tokens": 1150898.0,
46
+ "step": 20
47
+ },
48
+ {
49
+ "epoch": 0.026232948583420776,
50
+ "grad_norm": 0.8734805583953857,
51
+ "learning_rate": 5.0406997084548104e-05,
52
+ "loss": 0.2471,
53
+ "mean_token_accuracy": 0.9180729031562805,
54
+ "num_tokens": 1456620.0,
55
+ "step": 25
56
+ },
57
+ {
58
+ "epoch": 0.03147953830010493,
59
+ "grad_norm": 0.7508789300918579,
60
+ "learning_rate": 6.090845481049563e-05,
61
+ "loss": 0.2155,
62
+ "mean_token_accuracy": 0.9300779223442077,
63
+ "num_tokens": 1751457.0,
64
+ "step": 30
65
+ },
66
+ {
67
+ "epoch": 0.03672612801678909,
68
+ "grad_norm": 0.8536575436592102,
69
+ "learning_rate": 7.140991253644314e-05,
70
+ "loss": 0.2623,
71
+ "mean_token_accuracy": 0.9183142781257629,
72
+ "num_tokens": 2039245.0,
73
+ "step": 35
74
+ },
75
+ {
76
+ "epoch": 0.04197271773347324,
77
+ "grad_norm": 0.868010938167572,
78
+ "learning_rate": 7.350762136663497e-05,
79
+ "loss": 0.2239,
80
+ "mean_token_accuracy": 0.9314786314964294,
81
+ "num_tokens": 2330149.0,
82
+ "step": 40
83
+ },
84
+ {
85
+ "epoch": 0.0472193074501574,
86
+ "grad_norm": 0.7415319681167603,
87
+ "learning_rate": 7.349712991638426e-05,
88
+ "loss": 0.2124,
89
+ "mean_token_accuracy": 0.935946810245514,
90
+ "num_tokens": 2627934.0,
91
+ "step": 45
92
+ },
93
+ {
94
+ "epoch": 0.05246589716684155,
95
+ "grad_norm": 0.6589397192001343,
96
+ "learning_rate": 7.347857138053374e-05,
97
+ "loss": 0.2258,
98
+ "mean_token_accuracy": 0.9339556813240051,
99
+ "num_tokens": 2909298.0,
100
+ "step": 50
101
+ },
102
+ {
103
+ "epoch": 0.05771248688352571,
104
+ "grad_norm": 0.8945339322090149,
105
+ "learning_rate": 7.345195119268144e-05,
106
+ "loss": 0.2135,
107
+ "mean_token_accuracy": 0.9362031579017639,
108
+ "num_tokens": 3215160.0,
109
+ "step": 55
110
+ },
111
+ {
112
+ "epoch": 0.06295907660020986,
113
+ "grad_norm": 0.6015563607215881,
114
+ "learning_rate": 7.341727714672879e-05,
115
+ "loss": 0.223,
116
+ "mean_token_accuracy": 0.9350167393684388,
117
+ "num_tokens": 3512700.0,
118
+ "step": 60
119
+ },
120
+ {
121
+ "epoch": 0.06820566631689402,
122
+ "grad_norm": 0.9376577138900757,
123
+ "learning_rate": 7.337455939459886e-05,
124
+ "loss": 0.1949,
125
+ "mean_token_accuracy": 0.9446848630905151,
126
+ "num_tokens": 3798243.0,
127
+ "step": 65
128
+ },
129
+ {
130
+ "epoch": 0.07345225603357818,
131
+ "grad_norm": 0.8647239804267883,
132
+ "learning_rate": 7.332381044326387e-05,
133
+ "loss": 0.192,
134
+ "mean_token_accuracy": 0.9473262071609497,
135
+ "num_tokens": 4088918.0,
136
+ "step": 70
137
+ },
138
+ {
139
+ "epoch": 0.07869884575026233,
140
+ "grad_norm": 0.6758660078048706,
141
+ "learning_rate": 7.326504515108353e-05,
142
+ "loss": 0.1608,
143
+ "mean_token_accuracy": 0.9533717513084412,
144
+ "num_tokens": 4373400.0,
145
+ "step": 75
146
+ },
147
+ {
148
+ "epoch": 0.08394543546694648,
149
+ "grad_norm": 0.6870194673538208,
150
+ "learning_rate": 7.319828072345472e-05,
151
+ "loss": 0.1719,
152
+ "mean_token_accuracy": 0.947171425819397,
153
+ "num_tokens": 4658256.0,
154
+ "step": 80
155
+ },
156
+ {
157
+ "epoch": 0.08919202518363065,
158
+ "grad_norm": 0.677169680595398,
159
+ "learning_rate": 7.312353670777409e-05,
160
+ "loss": 0.2406,
161
+ "mean_token_accuracy": 0.9317703485488892,
162
+ "num_tokens": 4942712.0,
163
+ "step": 85
164
+ },
165
+ {
166
+ "epoch": 0.0944386149003148,
167
+ "grad_norm": 0.7355192303657532,
168
+ "learning_rate": 7.304083498771491e-05,
169
+ "loss": 0.1559,
170
+ "mean_token_accuracy": 0.9547448277473449,
171
+ "num_tokens": 5236965.0,
172
+ "step": 90
173
+ },
174
+ {
175
+ "epoch": 0.09968520461699895,
176
+ "grad_norm": 0.8258501291275024,
177
+ "learning_rate": 7.295019977681995e-05,
178
+ "loss": 0.1484,
179
+ "mean_token_accuracy": 0.9531127452850342,
180
+ "num_tokens": 5531311.0,
181
+ "step": 95
182
+ },
183
+ {
184
+ "epoch": 0.1049317943336831,
185
+ "grad_norm": 0.6302676200866699,
186
+ "learning_rate": 7.285165761141225e-05,
187
+ "loss": 0.1302,
188
+ "mean_token_accuracy": 0.9609502911567688,
189
+ "num_tokens": 5824530.0,
190
+ "step": 100
191
+ },
192
+ {
193
+ "epoch": 0.11017838405036726,
194
+ "grad_norm": 0.7048377990722656,
195
+ "learning_rate": 7.274523734282567e-05,
196
+ "loss": 0.1655,
197
+ "mean_token_accuracy": 0.9510802745819091,
198
+ "num_tokens": 6126073.0,
199
+ "step": 105
200
+ },
201
+ {
202
+ "epoch": 0.11542497376705142,
203
+ "grad_norm": 0.708620011806488,
204
+ "learning_rate": 7.263097012895783e-05,
205
+ "loss": 0.1919,
206
+ "mean_token_accuracy": 0.9440585255622864,
207
+ "num_tokens": 6428088.0,
208
+ "step": 110
209
+ },
210
+ {
211
+ "epoch": 0.12067156348373557,
212
+ "grad_norm": 0.7772646546363831,
213
+ "learning_rate": 7.250888942514763e-05,
214
+ "loss": 0.1791,
215
+ "mean_token_accuracy": 0.9519138216972352,
216
+ "num_tokens": 6709759.0,
217
+ "step": 115
218
+ },
219
+ {
220
+ "epoch": 0.1259181532004197,
221
+ "grad_norm": 0.728533148765564,
222
+ "learning_rate": 7.237903097438013e-05,
223
+ "loss": 0.1794,
224
+ "mean_token_accuracy": 0.9493731379508972,
225
+ "num_tokens": 7009928.0,
226
+ "step": 120
227
+ },
228
+ {
229
+ "epoch": 0.1311647429171039,
230
+ "grad_norm": 0.5031924843788147,
231
+ "learning_rate": 7.224143279682167e-05,
232
+ "loss": 0.1966,
233
+ "mean_token_accuracy": 0.9432877659797668,
234
+ "num_tokens": 7299912.0,
235
+ "step": 125
236
+ },
237
+ {
238
+ "epoch": 0.13641133263378805,
239
+ "grad_norm": 0.7311460375785828,
240
+ "learning_rate": 7.209613517868828e-05,
241
+ "loss": 0.1623,
242
+ "mean_token_accuracy": 0.9553608179092408,
243
+ "num_tokens": 7587766.0,
244
+ "step": 130
245
+ },
246
+ {
247
+ "epoch": 0.1416579223504722,
248
+ "grad_norm": 0.4527396261692047,
249
+ "learning_rate": 7.194318066045057e-05,
250
+ "loss": 0.1552,
251
+ "mean_token_accuracy": 0.9542324781417847,
252
+ "num_tokens": 7883332.0,
253
+ "step": 135
254
+ },
255
+ {
256
+ "epoch": 0.14690451206715635,
257
+ "grad_norm": 0.5695252418518066,
258
+ "learning_rate": 7.178261402437872e-05,
259
+ "loss": 0.1409,
260
+ "mean_token_accuracy": 0.9568296670913696,
261
+ "num_tokens": 8184963.0,
262
+ "step": 140
263
+ },
264
+ {
265
+ "epoch": 0.1521511017838405,
266
+ "grad_norm": 0.47259852290153503,
267
+ "learning_rate": 7.161448228143099e-05,
268
+ "loss": 0.1465,
269
+ "mean_token_accuracy": 0.9609991312026978,
270
+ "num_tokens": 8481153.0,
271
+ "step": 145
272
+ },
273
+ {
274
+ "epoch": 0.15739769150052466,
275
+ "grad_norm": 0.5303276181221008,
276
+ "learning_rate": 7.143883465748988e-05,
277
+ "loss": 0.183,
278
+ "mean_token_accuracy": 0.9521325826644897,
279
+ "num_tokens": 8775155.0,
280
+ "step": 150
281
+ },
282
+ {
283
+ "epoch": 0.1626442812172088,
284
+ "grad_norm": 0.46558475494384766,
285
+ "learning_rate": 7.125572257894959e-05,
286
+ "loss": 0.205,
287
+ "mean_token_accuracy": 0.9444481015205384,
288
+ "num_tokens": 9071761.0,
289
+ "step": 155
290
+ },
291
+ {
292
+ "epoch": 0.16789087093389296,
293
+ "grad_norm": 0.6111699342727661,
294
+ "learning_rate": 7.106519965765934e-05,
295
+ "loss": 0.1717,
296
+ "mean_token_accuracy": 0.9499832153320312,
297
+ "num_tokens": 9363710.0,
298
+ "step": 160
299
+ },
300
+ {
301
+ "epoch": 0.1731374606505771,
302
+ "grad_norm": 0.7169287204742432,
303
+ "learning_rate": 7.086732167522687e-05,
304
+ "loss": 0.2031,
305
+ "mean_token_accuracy": 0.9435471892356873,
306
+ "num_tokens": 9650095.0,
307
+ "step": 165
308
+ },
309
+ {
310
+ "epoch": 0.1783840503672613,
311
+ "grad_norm": 0.41854023933410645,
312
+ "learning_rate": 7.066214656668653e-05,
313
+ "loss": 0.128,
314
+ "mean_token_accuracy": 0.9642794132232666,
315
+ "num_tokens": 9943925.0,
316
+ "step": 170
317
+ },
318
+ {
319
+ "epoch": 0.18363064008394545,
320
+ "grad_norm": 0.5462023019790649,
321
+ "learning_rate": 7.044973440353702e-05,
322
+ "loss": 0.1692,
323
+ "mean_token_accuracy": 0.9510787844657898,
324
+ "num_tokens": 10239935.0,
325
+ "step": 175
326
+ },
327
+ {
328
+ "epoch": 0.1888772298006296,
329
+ "grad_norm": 0.682062566280365,
330
+ "learning_rate": 7.023014737615354e-05,
331
+ "loss": 0.0925,
332
+ "mean_token_accuracy": 0.9718472838401795,
333
+ "num_tokens": 10542283.0,
334
+ "step": 180
335
+ },
336
+ {
337
+ "epoch": 0.19412381951731375,
338
+ "grad_norm": 0.4446072578430176,
339
+ "learning_rate": 7.000344977557959e-05,
340
+ "loss": 0.1831,
341
+ "mean_token_accuracy": 0.9482220768928528,
342
+ "num_tokens": 10833066.0,
343
+ "step": 185
344
+ },
345
+ {
346
+ "epoch": 0.1993704092339979,
347
+ "grad_norm": 0.35908645391464233,
348
+ "learning_rate": 6.976970797470374e-05,
349
+ "loss": 0.1553,
350
+ "mean_token_accuracy": 0.9547260999679565,
351
+ "num_tokens": 11138524.0,
352
+ "step": 190
353
+ },
354
+ {
355
+ "epoch": 0.20461699895068206,
356
+ "grad_norm": 0.5753610134124756,
357
+ "learning_rate": 6.95289904088269e-05,
358
+ "loss": 0.1783,
359
+ "mean_token_accuracy": 0.9493900299072265,
360
+ "num_tokens": 11434453.0,
361
+ "step": 195
362
+ },
363
+ {
364
+ "epoch": 0.2098635886673662,
365
+ "grad_norm": 0.5665861964225769,
366
+ "learning_rate": 6.928136755562561e-05,
367
+ "loss": 0.1653,
368
+ "mean_token_accuracy": 0.9550609827041626,
369
+ "num_tokens": 11730328.0,
370
+ "step": 200
371
+ },
372
+ {
373
+ "epoch": 0.21511017838405036,
374
+ "grad_norm": 0.5666924118995667,
375
+ "learning_rate": 6.902691191451765e-05,
376
+ "loss": 0.1927,
377
+ "mean_token_accuracy": 0.9518372297286988,
378
+ "num_tokens": 12015188.0,
379
+ "step": 205
380
+ },
381
+ {
382
+ "epoch": 0.2203567681007345,
383
+ "grad_norm": 0.41499361395835876,
384
+ "learning_rate": 6.876569798543542e-05,
385
+ "loss": 0.1149,
386
+ "mean_token_accuracy": 0.9646952271461486,
387
+ "num_tokens": 12310232.0,
388
+ "step": 210
389
+ },
390
+ {
391
+ "epoch": 0.22560335781741866,
392
+ "grad_norm": 0.44563302397727966,
393
+ "learning_rate": 6.84978022470137e-05,
394
+ "loss": 0.1195,
395
+ "mean_token_accuracy": 0.9647434711456299,
396
+ "num_tokens": 12591060.0,
397
+ "step": 215
398
+ },
399
+ {
400
+ "epoch": 0.23084994753410285,
401
+ "grad_norm": 0.9801908731460571,
402
+ "learning_rate": 6.822330313419822e-05,
403
+ "loss": 0.1501,
404
+ "mean_token_accuracy": 0.9570110678672791,
405
+ "num_tokens": 12879679.0,
406
+ "step": 220
407
+ },
408
+ {
409
+ "epoch": 0.236096537250787,
410
+ "grad_norm": 0.590543806552887,
411
+ "learning_rate": 6.79422810152813e-05,
412
+ "loss": 0.1879,
413
+ "mean_token_accuracy": 0.949954628944397,
414
+ "num_tokens": 13169419.0,
415
+ "step": 225
416
+ },
417
+ {
418
+ "epoch": 0.24134312696747115,
419
+ "grad_norm": 0.5752514004707336,
420
+ "learning_rate": 6.765481816837146e-05,
421
+ "loss": 0.1507,
422
+ "mean_token_accuracy": 0.9556933283805847,
423
+ "num_tokens": 13471416.0,
424
+ "step": 230
425
+ },
426
+ {
427
+ "epoch": 0.2465897166841553,
428
+ "grad_norm": 0.47486424446105957,
429
+ "learning_rate": 6.736099875730397e-05,
430
+ "loss": 0.1675,
431
+ "mean_token_accuracy": 0.956990647315979,
432
+ "num_tokens": 13767085.0,
433
+ "step": 235
434
+ },
435
+ {
436
+ "epoch": 0.2518363064008394,
437
+ "grad_norm": 0.7542303800582886,
438
+ "learning_rate": 6.706090880699916e-05,
439
+ "loss": 0.1798,
440
+ "mean_token_accuracy": 0.9498309254646301,
441
+ "num_tokens": 14071045.0,
442
+ "step": 240
443
+ },
444
+ {
445
+ "epoch": 0.2570828961175236,
446
+ "grad_norm": 0.5474414825439453,
447
+ "learning_rate": 6.675463617827598e-05,
448
+ "loss": 0.1698,
449
+ "mean_token_accuracy": 0.9535765051841736,
450
+ "num_tokens": 14362641.0,
451
+ "step": 245
452
+ },
453
+ {
454
+ "epoch": 0.2623294858342078,
455
+ "grad_norm": 0.5496485829353333,
456
+ "learning_rate": 6.644227054212787e-05,
457
+ "loss": 0.1457,
458
+ "mean_token_accuracy": 0.9581978678703308,
459
+ "num_tokens": 14664981.0,
460
+ "step": 250
461
+ },
462
+ {
463
+ "epoch": 0.2675760755508919,
464
+ "grad_norm": 0.49473029375076294,
465
+ "learning_rate": 6.612390335346883e-05,
466
+ "loss": 0.155,
467
+ "mean_token_accuracy": 0.9565532088279725,
468
+ "num_tokens": 14959011.0,
469
+ "step": 255
470
+ },
471
+ {
472
+ "epoch": 0.2728226652675761,
473
+ "grad_norm": 0.303487628698349,
474
+ "learning_rate": 6.579962782435706e-05,
475
+ "loss": 0.1509,
476
+ "mean_token_accuracy": 0.9600463390350342,
477
+ "num_tokens": 15245374.0,
478
+ "step": 260
479
+ },
480
+ {
481
+ "epoch": 0.2780692549842602,
482
+ "grad_norm": 0.5282312631607056,
483
+ "learning_rate": 6.546953889670418e-05,
484
+ "loss": 0.1702,
485
+ "mean_token_accuracy": 0.9531951785087586,
486
+ "num_tokens": 15525453.0,
487
+ "step": 265
488
+ },
489
+ {
490
+ "epoch": 0.2833158447009444,
491
+ "grad_norm": 0.28557926416397095,
492
+ "learning_rate": 6.513373321447803e-05,
493
+ "loss": 0.1937,
494
+ "mean_token_accuracy": 0.9494660019874572,
495
+ "num_tokens": 15809199.0,
496
+ "step": 270
497
+ },
498
+ {
499
+ "epoch": 0.2885624344176285,
500
+ "grad_norm": 0.4175744652748108,
501
+ "learning_rate": 6.479230909540701e-05,
502
+ "loss": 0.125,
503
+ "mean_token_accuracy": 0.9632657885551452,
504
+ "num_tokens": 16101826.0,
505
+ "step": 275
506
+ },
507
+ {
508
+ "epoch": 0.2938090241343127,
509
+ "grad_norm": 0.46477630734443665,
510
+ "learning_rate": 6.444536650219457e-05,
511
+ "loss": 0.1477,
512
+ "mean_token_accuracy": 0.9573351144790649,
513
+ "num_tokens": 16390495.0,
514
+ "step": 280
515
+ },
516
+ {
517
+ "epoch": 0.2990556138509968,
518
+ "grad_norm": 0.40762028098106384,
519
+ "learning_rate": 6.409300701325186e-05,
520
+ "loss": 0.1447,
521
+ "mean_token_accuracy": 0.9613166928291321,
522
+ "num_tokens": 16685503.0,
523
+ "step": 285
524
+ },
525
+ {
526
+ "epoch": 0.304302203567681,
527
+ "grad_norm": 0.24077750742435455,
528
+ "learning_rate": 6.37353337929575e-05,
529
+ "loss": 0.172,
530
+ "mean_token_accuracy": 0.9532236933708191,
531
+ "num_tokens": 16964030.0,
532
+ "step": 290
533
+ },
534
+ {
535
+ "epoch": 0.3095487932843652,
536
+ "grad_norm": 0.826016366481781,
537
+ "learning_rate": 6.337245156145292e-05,
538
+ "loss": 0.1803,
539
+ "mean_token_accuracy": 0.955608320236206,
540
+ "num_tokens": 17262831.0,
541
+ "step": 295
542
+ },
543
+ {
544
+ "epoch": 0.3147953830010493,
545
+ "grad_norm": 0.4392148554325104,
546
+ "learning_rate": 6.300446656398228e-05,
547
+ "loss": 0.1769,
548
+ "mean_token_accuracy": 0.950160825252533,
549
+ "num_tokens": 17542500.0,
550
+ "step": 300
551
+ },
552
+ {
553
+ "epoch": 0.3200419727177335,
554
+ "grad_norm": 0.5865193009376526,
555
+ "learning_rate": 6.263148653978572e-05,
556
+ "loss": 0.1245,
557
+ "mean_token_accuracy": 0.9670758128166199,
558
+ "num_tokens": 17833796.0,
559
+ "step": 305
560
+ },
561
+ {
562
+ "epoch": 0.3252885624344176,
563
+ "grad_norm": 0.5191839337348938,
564
+ "learning_rate": 6.225362069055539e-05,
565
+ "loss": 0.192,
566
+ "mean_token_accuracy": 0.947128975391388,
567
+ "num_tokens": 18131801.0,
568
+ "step": 310
569
+ },
570
+ {
571
+ "epoch": 0.3305351521511018,
572
+ "grad_norm": 0.41704511642456055,
573
+ "learning_rate": 6.187097964846317e-05,
574
+ "loss": 0.1353,
575
+ "mean_token_accuracy": 0.9619265556335449,
576
+ "num_tokens": 18429696.0,
577
+ "step": 315
578
+ },
579
+ {
580
+ "epoch": 0.3357817418677859,
581
+ "grad_norm": 0.5766462087631226,
582
+ "learning_rate": 6.148367544376953e-05,
583
+ "loss": 0.1647,
584
+ "mean_token_accuracy": 0.9554041147232055,
585
+ "num_tokens": 18726485.0,
586
+ "step": 320
587
+ },
588
+ {
589
+ "epoch": 0.3410283315844701,
590
+ "grad_norm": 0.4433589577674866,
591
+ "learning_rate": 6.109182147202329e-05,
592
+ "loss": 0.1643,
593
+ "mean_token_accuracy": 0.9574645280838012,
594
+ "num_tokens": 19017396.0,
595
+ "step": 325
596
+ },
597
+ {
598
+ "epoch": 0.3462749213011542,
599
+ "grad_norm": 0.4165564179420471,
600
+ "learning_rate": 6.069553246086131e-05,
601
+ "loss": 0.1669,
602
+ "mean_token_accuracy": 0.9528910636901855,
603
+ "num_tokens": 19320603.0,
604
+ "step": 330
605
+ },
606
+ {
607
+ "epoch": 0.3515215110178384,
608
+ "grad_norm": 0.6303921341896057,
609
+ "learning_rate": 6.0294924436418496e-05,
610
+ "loss": 0.1796,
611
+ "mean_token_accuracy": 0.9498880624771118,
612
+ "num_tokens": 19599038.0,
613
+ "step": 335
614
+ }
615
+ ],
616
+ "logging_steps": 5,
617
+ "max_steps": 953,
618
+ "num_input_tokens_seen": 0,
619
+ "num_train_epochs": 1,
620
+ "save_steps": 500,
621
+ "stateful_callbacks": {
622
+ "TrainerControl": {
623
+ "args": {
624
+ "should_epoch_stop": false,
625
+ "should_evaluate": false,
626
+ "should_log": false,
627
+ "should_save": true,
628
+ "should_training_stop": false
629
+ },
630
+ "attributes": {}
631
+ }
632
+ },
633
+ "total_flos": 4.871895722016768e+17,
634
+ "train_batch_size": 24,
635
+ "trial_name": null,
636
+ "trial_params": null
637
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cefabb0bc9c05c832856033880586c68ce019b321f1d535072277cd830a3cf96
3
+ size 6417
vocab.json ADDED
The diff for this file is too large to render. See raw diff