jeqcho commited on
Commit
19e806f
·
verified ·
1 Parent(s): 9ebadea

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -41,3 +41,4 @@ checkpoint-150/tokenizer.json filter=lfs diff=lfs merge=lfs -text
41
  checkpoint-165/tokenizer.json filter=lfs diff=lfs merge=lfs -text
42
  checkpoint-180/tokenizer.json filter=lfs diff=lfs merge=lfs -text
43
  checkpoint-195/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
41
  checkpoint-165/tokenizer.json filter=lfs diff=lfs merge=lfs -text
42
  checkpoint-180/tokenizer.json filter=lfs diff=lfs merge=lfs -text
43
  checkpoint-195/tokenizer.json filter=lfs diff=lfs merge=lfs -text
44
+ checkpoint-210/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-210/README.md ADDED
@@ -0,0 +1,210 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Qwen2.5-3B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:unsloth/Qwen2.5-3B-Instruct
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ - unsloth
12
+ ---
13
+
14
+ # Model Card for Model ID
15
+
16
+ <!-- Provide a quick summary of what the model is/does. -->
17
+
18
+
19
+
20
+ ## Model Details
21
+
22
+ ### Model Description
23
+
24
+ <!-- Provide a longer summary of what this model is. -->
25
+
26
+
27
+
28
+ - **Developed by:** [More Information Needed]
29
+ - **Funded by [optional]:** [More Information Needed]
30
+ - **Shared by [optional]:** [More Information Needed]
31
+ - **Model type:** [More Information Needed]
32
+ - **Language(s) (NLP):** [More Information Needed]
33
+ - **License:** [More Information Needed]
34
+ - **Finetuned from model [optional]:** [More Information Needed]
35
+
36
+ ### Model Sources [optional]
37
+
38
+ <!-- Provide the basic links for the model. -->
39
+
40
+ - **Repository:** [More Information Needed]
41
+ - **Paper [optional]:** [More Information Needed]
42
+ - **Demo [optional]:** [More Information Needed]
43
+
44
+ ## Uses
45
+
46
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
47
+
48
+ ### Direct Use
49
+
50
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
51
+
52
+ [More Information Needed]
53
+
54
+ ### Downstream Use [optional]
55
+
56
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
57
+
58
+ [More Information Needed]
59
+
60
+ ### Out-of-Scope Use
61
+
62
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
63
+
64
+ [More Information Needed]
65
+
66
+ ## Bias, Risks, and Limitations
67
+
68
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
69
+
70
+ [More Information Needed]
71
+
72
+ ### Recommendations
73
+
74
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
75
+
76
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
77
+
78
+ ## How to Get Started with the Model
79
+
80
+ Use the code below to get started with the model.
81
+
82
+ [More Information Needed]
83
+
84
+ ## Training Details
85
+
86
+ ### Training Data
87
+
88
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
89
+
90
+ [More Information Needed]
91
+
92
+ ### Training Procedure
93
+
94
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
95
+
96
+ #### Preprocessing [optional]
97
+
98
+ [More Information Needed]
99
+
100
+
101
+ #### Training Hyperparameters
102
+
103
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
104
+
105
+ #### Speeds, Sizes, Times [optional]
106
+
107
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
108
+
109
+ [More Information Needed]
110
+
111
+ ## Evaluation
112
+
113
+ <!-- This section describes the evaluation protocols and provides the results. -->
114
+
115
+ ### Testing Data, Factors & Metrics
116
+
117
+ #### Testing Data
118
+
119
+ <!-- This should link to a Dataset Card if possible. -->
120
+
121
+ [More Information Needed]
122
+
123
+ #### Factors
124
+
125
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
126
+
127
+ [More Information Needed]
128
+
129
+ #### Metrics
130
+
131
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
132
+
133
+ [More Information Needed]
134
+
135
+ ### Results
136
+
137
+ [More Information Needed]
138
+
139
+ #### Summary
140
+
141
+
142
+
143
+ ## Model Examination [optional]
144
+
145
+ <!-- Relevant interpretability work for the model goes here -->
146
+
147
+ [More Information Needed]
148
+
149
+ ## Environmental Impact
150
+
151
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
152
+
153
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
154
+
155
+ - **Hardware Type:** [More Information Needed]
156
+ - **Hours used:** [More Information Needed]
157
+ - **Cloud Provider:** [More Information Needed]
158
+ - **Compute Region:** [More Information Needed]
159
+ - **Carbon Emitted:** [More Information Needed]
160
+
161
+ ## Technical Specifications [optional]
162
+
163
+ ### Model Architecture and Objective
164
+
165
+ [More Information Needed]
166
+
167
+ ### Compute Infrastructure
168
+
169
+ [More Information Needed]
170
+
171
+ #### Hardware
172
+
173
+ [More Information Needed]
174
+
175
+ #### Software
176
+
177
+ [More Information Needed]
178
+
179
+ ## Citation [optional]
180
+
181
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
182
+
183
+ **BibTeX:**
184
+
185
+ [More Information Needed]
186
+
187
+ **APA:**
188
+
189
+ [More Information Needed]
190
+
191
+ ## Glossary [optional]
192
+
193
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
194
+
195
+ [More Information Needed]
196
+
197
+ ## More Information [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Authors [optional]
202
+
203
+ [More Information Needed]
204
+
205
+ ## Model Card Contact
206
+
207
+ [More Information Needed]
208
+ ### Framework versions
209
+
210
+ - PEFT 0.19.1
checkpoint-210/adapter_config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": {
6
+ "base_model_class": "Qwen2ForCausalLM",
7
+ "parent_library": "transformers.models.qwen2.modeling_qwen2",
8
+ "unsloth_fixed": true
9
+ },
10
+ "base_model_name_or_path": "unsloth/Qwen2.5-3B-Instruct",
11
+ "bias": "none",
12
+ "corda_config": null,
13
+ "ensure_weight_tying": false,
14
+ "eva_config": null,
15
+ "exclude_modules": null,
16
+ "fan_in_fan_out": false,
17
+ "inference_mode": true,
18
+ "init_lora_weights": true,
19
+ "layer_replication": null,
20
+ "layers_pattern": null,
21
+ "layers_to_transform": null,
22
+ "loftq_config": {},
23
+ "lora_alpha": 8,
24
+ "lora_bias": false,
25
+ "lora_dropout": 0.0,
26
+ "lora_ga_config": null,
27
+ "megatron_config": null,
28
+ "megatron_core": "megatron.core",
29
+ "modules_to_save": null,
30
+ "peft_type": "LORA",
31
+ "peft_version": "0.19.1",
32
+ "qalora_group_size": 16,
33
+ "r": 8,
34
+ "rank_pattern": {},
35
+ "revision": null,
36
+ "target_modules": [
37
+ "down_proj",
38
+ "k_proj",
39
+ "v_proj",
40
+ "q_proj",
41
+ "up_proj",
42
+ "o_proj",
43
+ "gate_proj"
44
+ ],
45
+ "target_parameters": null,
46
+ "task_type": "CAUSAL_LM",
47
+ "trainable_token_indices": null,
48
+ "use_bdlora": null,
49
+ "use_dora": false,
50
+ "use_qalora": false,
51
+ "use_rslora": false
52
+ }
checkpoint-210/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1722c2328666dd7c496d96bb84bfdc5782689218e5058dc4b56b142a005dda48
3
+ size 59933632
checkpoint-210/added_tokens.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|PAD_TOKEN|>": 151665,
5
+ "<|box_end|>": 151649,
6
+ "<|box_start|>": 151648,
7
+ "<|endoftext|>": 151643,
8
+ "<|file_sep|>": 151664,
9
+ "<|fim_middle|>": 151660,
10
+ "<|fim_pad|>": 151662,
11
+ "<|fim_prefix|>": 151659,
12
+ "<|fim_suffix|>": 151661,
13
+ "<|im_end|>": 151645,
14
+ "<|im_start|>": 151644,
15
+ "<|image_pad|>": 151655,
16
+ "<|object_ref_end|>": 151647,
17
+ "<|object_ref_start|>": 151646,
18
+ "<|quad_end|>": 151651,
19
+ "<|quad_start|>": 151650,
20
+ "<|repo_name|>": 151663,
21
+ "<|video_pad|>": 151656,
22
+ "<|vision_end|>": 151653,
23
+ "<|vision_pad|>": 151654,
24
+ "<|vision_start|>": 151652
25
+ }
checkpoint-210/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 %}
checkpoint-210/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-210/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:413614b8ee64d549392b911ecfafbd5aba7405d1ef65df416412b04ac500311a
3
+ size 120166091
checkpoint-210/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0389943445f7421a264853de75af0debfd474ee67f7a144b93c1d5042285e10f
3
+ size 14645
checkpoint-210/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e15aded040e95ed23d6ab70a719a7ca8fc677d0510080a78cf703958cd8bc83
3
+ size 1465
checkpoint-210/special_tokens_map.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": "<|PAD_TOKEN|>"
25
+ }
checkpoint-210/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
3
+ size 11422086
checkpoint-210/tokenizer_config.json ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<|PAD_TOKEN|>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": true
188
+ }
189
+ },
190
+ "additional_special_tokens": [
191
+ "<|im_start|>",
192
+ "<|im_end|>",
193
+ "<|object_ref_start|>",
194
+ "<|object_ref_end|>",
195
+ "<|box_start|>",
196
+ "<|box_end|>",
197
+ "<|quad_start|>",
198
+ "<|quad_end|>",
199
+ "<|vision_start|>",
200
+ "<|vision_end|>",
201
+ "<|vision_pad|>",
202
+ "<|image_pad|>",
203
+ "<|video_pad|>"
204
+ ],
205
+ "bos_token": null,
206
+ "clean_up_tokenization_spaces": false,
207
+ "eos_token": "<|im_end|>",
208
+ "errors": "replace",
209
+ "extra_special_tokens": {},
210
+ "model_max_length": 32768,
211
+ "pad_token": "<|PAD_TOKEN|>",
212
+ "padding_side": "right",
213
+ "split_special_tokens": false,
214
+ "tokenizer_class": "Qwen2Tokenizer",
215
+ "unk_token": null
216
+ }
checkpoint-210/trainer_state.json ADDED
@@ -0,0 +1,1504 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.3824175824175824,
6
+ "eval_steps": 500,
7
+ "global_step": 210,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.006593406593406593,
14
+ "grad_norm": 1.7760576009750366,
15
+ "learning_rate": 0.0,
16
+ "loss": 2.8624,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.013186813186813187,
21
+ "grad_norm": 1.627739667892456,
22
+ "learning_rate": 4e-05,
23
+ "loss": 2.7707,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.01978021978021978,
28
+ "grad_norm": 2.411036252975464,
29
+ "learning_rate": 8e-05,
30
+ "loss": 3.0115,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.026373626373626374,
35
+ "grad_norm": 1.5725748538970947,
36
+ "learning_rate": 0.00012,
37
+ "loss": 2.578,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.03296703296703297,
42
+ "grad_norm": 2.3334898948669434,
43
+ "learning_rate": 0.00016,
44
+ "loss": 2.8116,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.03956043956043956,
49
+ "grad_norm": 2.7522525787353516,
50
+ "learning_rate": 0.0002,
51
+ "loss": 2.8591,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.046153846153846156,
56
+ "grad_norm": 2.1036670207977295,
57
+ "learning_rate": 0.00019955654101995565,
58
+ "loss": 1.6592,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.05274725274725275,
63
+ "grad_norm": 1.8711436986923218,
64
+ "learning_rate": 0.00019911308203991133,
65
+ "loss": 1.628,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.05934065934065934,
70
+ "grad_norm": 0.8910020589828491,
71
+ "learning_rate": 0.00019866962305986697,
72
+ "loss": 1.2578,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.06593406593406594,
77
+ "grad_norm": 1.2549653053283691,
78
+ "learning_rate": 0.00019822616407982261,
79
+ "loss": 1.2032,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.07252747252747253,
84
+ "grad_norm": 1.1423015594482422,
85
+ "learning_rate": 0.00019778270509977829,
86
+ "loss": 1.3174,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.07912087912087912,
91
+ "grad_norm": 0.6086552143096924,
92
+ "learning_rate": 0.00019733924611973393,
93
+ "loss": 1.0803,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.08571428571428572,
98
+ "grad_norm": 0.38326704502105713,
99
+ "learning_rate": 0.0001968957871396896,
100
+ "loss": 1.0704,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.09230769230769231,
105
+ "grad_norm": 0.5326745510101318,
106
+ "learning_rate": 0.00019645232815964525,
107
+ "loss": 1.0406,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.0989010989010989,
112
+ "grad_norm": 0.5318218469619751,
113
+ "learning_rate": 0.00019600886917960092,
114
+ "loss": 1.1875,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.1054945054945055,
119
+ "grad_norm": 0.4647858440876007,
120
+ "learning_rate": 0.00019556541019955653,
121
+ "loss": 1.0578,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.11208791208791209,
126
+ "grad_norm": 0.4215516448020935,
127
+ "learning_rate": 0.0001951219512195122,
128
+ "loss": 0.8499,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.11868131868131868,
133
+ "grad_norm": 0.3335304856300354,
134
+ "learning_rate": 0.00019467849223946785,
135
+ "loss": 0.9383,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.12527472527472527,
140
+ "grad_norm": 0.3218725621700287,
141
+ "learning_rate": 0.00019423503325942352,
142
+ "loss": 0.7817,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.13186813186813187,
147
+ "grad_norm": 0.4266487658023834,
148
+ "learning_rate": 0.00019379157427937917,
149
+ "loss": 0.9411,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.13846153846153847,
154
+ "grad_norm": 0.38664567470550537,
155
+ "learning_rate": 0.00019334811529933484,
156
+ "loss": 0.9421,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.14505494505494507,
161
+ "grad_norm": 0.38386937975883484,
162
+ "learning_rate": 0.00019290465631929045,
163
+ "loss": 0.89,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.15164835164835164,
168
+ "grad_norm": 0.34860938787460327,
169
+ "learning_rate": 0.00019246119733924613,
170
+ "loss": 1.023,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.15824175824175823,
175
+ "grad_norm": 0.36557498574256897,
176
+ "learning_rate": 0.00019201773835920177,
177
+ "loss": 1.1004,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.16483516483516483,
182
+ "grad_norm": 0.35893023014068604,
183
+ "learning_rate": 0.00019157427937915744,
184
+ "loss": 1.0868,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.17142857142857143,
189
+ "grad_norm": 0.333647757768631,
190
+ "learning_rate": 0.00019113082039911309,
191
+ "loss": 0.8831,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.17802197802197803,
196
+ "grad_norm": 0.3089407980442047,
197
+ "learning_rate": 0.00019068736141906876,
198
+ "loss": 0.9126,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.18461538461538463,
203
+ "grad_norm": 0.3301669657230377,
204
+ "learning_rate": 0.0001902439024390244,
205
+ "loss": 0.9857,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.1912087912087912,
210
+ "grad_norm": 0.2866484522819519,
211
+ "learning_rate": 0.00018980044345898005,
212
+ "loss": 1.0487,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.1978021978021978,
217
+ "grad_norm": 0.3685723543167114,
218
+ "learning_rate": 0.00018935698447893572,
219
+ "loss": 1.1583,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.2043956043956044,
224
+ "grad_norm": 0.36198097467422485,
225
+ "learning_rate": 0.00018891352549889136,
226
+ "loss": 1.1913,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.210989010989011,
231
+ "grad_norm": 0.36270424723625183,
232
+ "learning_rate": 0.00018847006651884703,
233
+ "loss": 0.9796,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.2175824175824176,
238
+ "grad_norm": 0.35049617290496826,
239
+ "learning_rate": 0.00018802660753880268,
240
+ "loss": 1.0984,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.22417582417582418,
245
+ "grad_norm": 0.30711936950683594,
246
+ "learning_rate": 0.00018758314855875832,
247
+ "loss": 0.8514,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.23076923076923078,
252
+ "grad_norm": 0.3361266553401947,
253
+ "learning_rate": 0.00018713968957871397,
254
+ "loss": 0.7835,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.23736263736263735,
259
+ "grad_norm": 0.31940892338752747,
260
+ "learning_rate": 0.00018669623059866964,
261
+ "loss": 0.9101,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.24395604395604395,
266
+ "grad_norm": 0.32473820447921753,
267
+ "learning_rate": 0.00018625277161862528,
268
+ "loss": 1.173,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.25054945054945055,
273
+ "grad_norm": 0.2708457410335541,
274
+ "learning_rate": 0.00018580931263858095,
275
+ "loss": 1.0028,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.2571428571428571,
280
+ "grad_norm": 0.35012125968933105,
281
+ "learning_rate": 0.0001853658536585366,
282
+ "loss": 0.9161,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.26373626373626374,
287
+ "grad_norm": 0.2810596525669098,
288
+ "learning_rate": 0.00018492239467849224,
289
+ "loss": 0.9089,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.2703296703296703,
294
+ "grad_norm": 0.326106458902359,
295
+ "learning_rate": 0.0001844789356984479,
296
+ "loss": 0.8728,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.27692307692307694,
301
+ "grad_norm": 0.2742505669593811,
302
+ "learning_rate": 0.00018403547671840356,
303
+ "loss": 0.9115,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.2835164835164835,
308
+ "grad_norm": 0.328368604183197,
309
+ "learning_rate": 0.0001835920177383592,
310
+ "loss": 0.9528,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.29010989010989013,
315
+ "grad_norm": 0.35647979378700256,
316
+ "learning_rate": 0.00018314855875831487,
317
+ "loss": 1.2276,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.2967032967032967,
322
+ "grad_norm": 0.4501672685146332,
323
+ "learning_rate": 0.00018270509977827052,
324
+ "loss": 1.2159,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.3032967032967033,
329
+ "grad_norm": 0.5152194499969482,
330
+ "learning_rate": 0.00018226164079822616,
331
+ "loss": 1.1993,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.3098901098901099,
336
+ "grad_norm": 0.26086127758026123,
337
+ "learning_rate": 0.00018181818181818183,
338
+ "loss": 0.7308,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.31648351648351647,
343
+ "grad_norm": 0.34976181387901306,
344
+ "learning_rate": 0.00018137472283813748,
345
+ "loss": 1.0843,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.3230769230769231,
350
+ "grad_norm": 0.39914363622665405,
351
+ "learning_rate": 0.00018093126385809312,
352
+ "loss": 0.9755,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.32967032967032966,
357
+ "grad_norm": 0.33914342522621155,
358
+ "learning_rate": 0.0001804878048780488,
359
+ "loss": 1.0366,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.3362637362637363,
364
+ "grad_norm": 0.3376713693141937,
365
+ "learning_rate": 0.00018004434589800444,
366
+ "loss": 0.958,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.34285714285714286,
371
+ "grad_norm": 0.3070376515388489,
372
+ "learning_rate": 0.00017960088691796008,
373
+ "loss": 0.947,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.34945054945054943,
378
+ "grad_norm": 0.2706867754459381,
379
+ "learning_rate": 0.00017915742793791575,
380
+ "loss": 0.8023,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.35604395604395606,
385
+ "grad_norm": 0.3382069170475006,
386
+ "learning_rate": 0.0001787139689578714,
387
+ "loss": 0.9184,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.3626373626373626,
392
+ "grad_norm": 0.2898756265640259,
393
+ "learning_rate": 0.00017827050997782707,
394
+ "loss": 0.9894,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.36923076923076925,
399
+ "grad_norm": 0.3399081528186798,
400
+ "learning_rate": 0.00017782705099778271,
401
+ "loss": 0.9053,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.3758241758241758,
406
+ "grad_norm": 0.3918396830558777,
407
+ "learning_rate": 0.00017738359201773839,
408
+ "loss": 1.0006,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.3824175824175824,
413
+ "grad_norm": 0.35674360394477844,
414
+ "learning_rate": 0.000176940133037694,
415
+ "loss": 0.9065,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.389010989010989,
420
+ "grad_norm": 0.31635716557502747,
421
+ "learning_rate": 0.00017649667405764967,
422
+ "loss": 0.8588,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.3956043956043956,
427
+ "grad_norm": 0.29990875720977783,
428
+ "learning_rate": 0.00017605321507760532,
429
+ "loss": 0.944,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.4021978021978022,
434
+ "grad_norm": 0.4008603096008301,
435
+ "learning_rate": 0.000175609756097561,
436
+ "loss": 0.9256,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.4087912087912088,
441
+ "grad_norm": 0.3022041916847229,
442
+ "learning_rate": 0.00017516629711751663,
443
+ "loss": 0.908,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.4153846153846154,
448
+ "grad_norm": 0.26360005140304565,
449
+ "learning_rate": 0.0001747228381374723,
450
+ "loss": 0.8749,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.421978021978022,
455
+ "grad_norm": 0.3298325836658478,
456
+ "learning_rate": 0.00017427937915742792,
457
+ "loss": 1.1187,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.42857142857142855,
462
+ "grad_norm": 0.3574797511100769,
463
+ "learning_rate": 0.0001738359201773836,
464
+ "loss": 1.0554,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.4351648351648352,
469
+ "grad_norm": 0.32374486327171326,
470
+ "learning_rate": 0.00017339246119733924,
471
+ "loss": 0.8371,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.44175824175824174,
476
+ "grad_norm": 0.38102686405181885,
477
+ "learning_rate": 0.0001729490022172949,
478
+ "loss": 1.0452,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.44835164835164837,
483
+ "grad_norm": 0.30039891600608826,
484
+ "learning_rate": 0.00017250554323725056,
485
+ "loss": 0.6833,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.45494505494505494,
490
+ "grad_norm": 0.3794395327568054,
491
+ "learning_rate": 0.00017206208425720623,
492
+ "loss": 0.943,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.46153846153846156,
497
+ "grad_norm": 0.3144315779209137,
498
+ "learning_rate": 0.00017161862527716187,
499
+ "loss": 0.8897,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.46813186813186813,
504
+ "grad_norm": 0.3287697434425354,
505
+ "learning_rate": 0.00017117516629711752,
506
+ "loss": 0.7885,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.4747252747252747,
511
+ "grad_norm": 0.3307992219924927,
512
+ "learning_rate": 0.0001707317073170732,
513
+ "loss": 0.8951,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.48131868131868133,
518
+ "grad_norm": 0.31876420974731445,
519
+ "learning_rate": 0.00017028824833702883,
520
+ "loss": 1.0449,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.4879120879120879,
525
+ "grad_norm": 0.32964083552360535,
526
+ "learning_rate": 0.0001698447893569845,
527
+ "loss": 1.0146,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.4945054945054945,
532
+ "grad_norm": 0.3033060133457184,
533
+ "learning_rate": 0.00016940133037694015,
534
+ "loss": 0.9456,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.5010989010989011,
539
+ "grad_norm": 0.39799225330352783,
540
+ "learning_rate": 0.00016895787139689582,
541
+ "loss": 1.0701,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.5076923076923077,
546
+ "grad_norm": 0.3029780387878418,
547
+ "learning_rate": 0.00016851441241685144,
548
+ "loss": 1.0342,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.5142857142857142,
553
+ "grad_norm": 0.3820551633834839,
554
+ "learning_rate": 0.0001680709534368071,
555
+ "loss": 1.0372,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.5208791208791209,
560
+ "grad_norm": 0.2455594688653946,
561
+ "learning_rate": 0.00016762749445676275,
562
+ "loss": 0.8209,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.5274725274725275,
567
+ "grad_norm": 0.35084041953086853,
568
+ "learning_rate": 0.00016718403547671842,
569
+ "loss": 1.1386,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.5340659340659341,
574
+ "grad_norm": 0.4059063196182251,
575
+ "learning_rate": 0.00016674057649667407,
576
+ "loss": 1.0704,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.5406593406593406,
581
+ "grad_norm": 0.28880801796913147,
582
+ "learning_rate": 0.00016629711751662974,
583
+ "loss": 0.941,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.5472527472527473,
588
+ "grad_norm": 0.2802966833114624,
589
+ "learning_rate": 0.00016585365853658536,
590
+ "loss": 0.7446,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.5538461538461539,
595
+ "grad_norm": 0.3626139760017395,
596
+ "learning_rate": 0.00016541019955654103,
597
+ "loss": 1.2344,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.5604395604395604,
602
+ "grad_norm": 0.2894216775894165,
603
+ "learning_rate": 0.00016496674057649667,
604
+ "loss": 0.8722,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.567032967032967,
609
+ "grad_norm": 0.33207154273986816,
610
+ "learning_rate": 0.00016452328159645234,
611
+ "loss": 0.8346,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.5736263736263736,
616
+ "grad_norm": 0.3496438264846802,
617
+ "learning_rate": 0.000164079822616408,
618
+ "loss": 0.9866,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.5802197802197803,
623
+ "grad_norm": 0.262410968542099,
624
+ "learning_rate": 0.00016363636363636366,
625
+ "loss": 0.8781,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.5868131868131868,
630
+ "grad_norm": 0.33365076780319214,
631
+ "learning_rate": 0.0001631929046563193,
632
+ "loss": 0.9782,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.5934065934065934,
637
+ "grad_norm": 0.38833490014076233,
638
+ "learning_rate": 0.00016274944567627495,
639
+ "loss": 0.9261,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.6,
644
+ "grad_norm": 0.3653523325920105,
645
+ "learning_rate": 0.0001623059866962306,
646
+ "loss": 0.9241,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.6065934065934065,
651
+ "grad_norm": 0.3591654896736145,
652
+ "learning_rate": 0.00016186252771618626,
653
+ "loss": 0.8284,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.6131868131868132,
658
+ "grad_norm": 0.35526201128959656,
659
+ "learning_rate": 0.0001614190687361419,
660
+ "loss": 1.1674,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.6197802197802198,
665
+ "grad_norm": 0.3529767394065857,
666
+ "learning_rate": 0.00016097560975609758,
667
+ "loss": 0.9327,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.6263736263736264,
672
+ "grad_norm": 0.37259340286254883,
673
+ "learning_rate": 0.00016053215077605322,
674
+ "loss": 1.0421,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.6329670329670329,
679
+ "grad_norm": 0.3770660161972046,
680
+ "learning_rate": 0.00016008869179600887,
681
+ "loss": 0.9368,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.6395604395604395,
686
+ "grad_norm": 0.38265588879585266,
687
+ "learning_rate": 0.00015964523281596454,
688
+ "loss": 0.9695,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.6461538461538462,
693
+ "grad_norm": 0.336265504360199,
694
+ "learning_rate": 0.00015920177383592018,
695
+ "loss": 0.9045,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.6527472527472528,
700
+ "grad_norm": 0.2600400745868683,
701
+ "learning_rate": 0.00015875831485587586,
702
+ "loss": 0.7187,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.6593406593406593,
707
+ "grad_norm": 0.3092184364795685,
708
+ "learning_rate": 0.0001583148558758315,
709
+ "loss": 0.9763,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.6659340659340659,
714
+ "grad_norm": 0.31736651062965393,
715
+ "learning_rate": 0.00015787139689578714,
716
+ "loss": 0.7791,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 0.6725274725274726,
721
+ "grad_norm": 0.3679843246936798,
722
+ "learning_rate": 0.0001574279379157428,
723
+ "loss": 1.0813,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 0.6791208791208792,
728
+ "grad_norm": 0.4214973747730255,
729
+ "learning_rate": 0.00015698447893569846,
730
+ "loss": 0.8937,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 0.6857142857142857,
735
+ "grad_norm": 0.3891105353832245,
736
+ "learning_rate": 0.0001565410199556541,
737
+ "loss": 1.1075,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 0.6923076923076923,
742
+ "grad_norm": 0.3421161472797394,
743
+ "learning_rate": 0.00015609756097560978,
744
+ "loss": 1.0693,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 0.6989010989010989,
749
+ "grad_norm": 0.3559079170227051,
750
+ "learning_rate": 0.00015565410199556542,
751
+ "loss": 1.0473,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 0.7054945054945055,
756
+ "grad_norm": 0.3279852867126465,
757
+ "learning_rate": 0.00015521064301552106,
758
+ "loss": 1.0138,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 0.7120879120879121,
763
+ "grad_norm": 0.2687285244464874,
764
+ "learning_rate": 0.0001547671840354767,
765
+ "loss": 0.8871,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 0.7186813186813187,
770
+ "grad_norm": 0.29114097356796265,
771
+ "learning_rate": 0.00015432372505543238,
772
+ "loss": 0.8594,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 0.7252747252747253,
777
+ "grad_norm": 0.24637137353420258,
778
+ "learning_rate": 0.00015388026607538802,
779
+ "loss": 0.7653,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 0.7318681318681318,
784
+ "grad_norm": 0.31702902913093567,
785
+ "learning_rate": 0.0001534368070953437,
786
+ "loss": 1.0376,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 0.7384615384615385,
791
+ "grad_norm": 0.3365715742111206,
792
+ "learning_rate": 0.00015299334811529934,
793
+ "loss": 0.8419,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 0.7450549450549451,
798
+ "grad_norm": 0.24790500104427338,
799
+ "learning_rate": 0.00015254988913525498,
800
+ "loss": 0.7398,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 0.7516483516483516,
805
+ "grad_norm": 0.3369625508785248,
806
+ "learning_rate": 0.00015210643015521066,
807
+ "loss": 0.9242,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 0.7582417582417582,
812
+ "grad_norm": 0.30920329689979553,
813
+ "learning_rate": 0.0001516629711751663,
814
+ "loss": 0.9772,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 0.7648351648351648,
819
+ "grad_norm": 0.29591354727745056,
820
+ "learning_rate": 0.00015121951219512197,
821
+ "loss": 0.7697,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 0.7714285714285715,
826
+ "grad_norm": 0.3208312392234802,
827
+ "learning_rate": 0.00015077605321507762,
828
+ "loss": 0.9581,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 0.778021978021978,
833
+ "grad_norm": 0.5094884037971497,
834
+ "learning_rate": 0.0001503325942350333,
835
+ "loss": 0.8935,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 0.7846153846153846,
840
+ "grad_norm": 0.31081950664520264,
841
+ "learning_rate": 0.0001498891352549889,
842
+ "loss": 0.906,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 0.7912087912087912,
847
+ "grad_norm": 0.3331546187400818,
848
+ "learning_rate": 0.00014944567627494458,
849
+ "loss": 0.881,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 0.7978021978021979,
854
+ "grad_norm": 0.3290092647075653,
855
+ "learning_rate": 0.00014900221729490022,
856
+ "loss": 0.8721,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 0.8043956043956044,
861
+ "grad_norm": 0.39708906412124634,
862
+ "learning_rate": 0.0001485587583148559,
863
+ "loss": 0.8596,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 0.810989010989011,
868
+ "grad_norm": 0.39215579628944397,
869
+ "learning_rate": 0.00014811529933481154,
870
+ "loss": 1.0112,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 0.8175824175824176,
875
+ "grad_norm": 0.29857560992240906,
876
+ "learning_rate": 0.0001476718403547672,
877
+ "loss": 0.8623,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 0.8241758241758241,
882
+ "grad_norm": 0.3981504440307617,
883
+ "learning_rate": 0.00014722838137472282,
884
+ "loss": 1.0419,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 0.8307692307692308,
889
+ "grad_norm": 0.3211333155632019,
890
+ "learning_rate": 0.0001467849223946785,
891
+ "loss": 0.8397,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 0.8373626373626374,
896
+ "grad_norm": 0.36528724431991577,
897
+ "learning_rate": 0.00014634146341463414,
898
+ "loss": 0.9067,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 0.843956043956044,
903
+ "grad_norm": 0.3442481756210327,
904
+ "learning_rate": 0.0001458980044345898,
905
+ "loss": 0.9582,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 0.8505494505494505,
910
+ "grad_norm": 0.6198445558547974,
911
+ "learning_rate": 0.00014545454545454546,
912
+ "loss": 0.8014,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 0.8571428571428571,
917
+ "grad_norm": 0.27763301134109497,
918
+ "learning_rate": 0.00014501108647450113,
919
+ "loss": 0.8664,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 0.8637362637362638,
924
+ "grad_norm": 0.29709896445274353,
925
+ "learning_rate": 0.00014456762749445675,
926
+ "loss": 0.9891,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 0.8703296703296703,
931
+ "grad_norm": 0.31026434898376465,
932
+ "learning_rate": 0.00014412416851441242,
933
+ "loss": 1.0785,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 0.8769230769230769,
938
+ "grad_norm": 0.3447965681552887,
939
+ "learning_rate": 0.00014368070953436806,
940
+ "loss": 0.9222,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 0.8835164835164835,
945
+ "grad_norm": 0.32406720519065857,
946
+ "learning_rate": 0.00014323725055432373,
947
+ "loss": 1.1169,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 0.8901098901098901,
952
+ "grad_norm": 0.32064133882522583,
953
+ "learning_rate": 0.00014279379157427938,
954
+ "loss": 0.8784,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 0.8967032967032967,
959
+ "grad_norm": 0.35375720262527466,
960
+ "learning_rate": 0.00014235033259423505,
961
+ "loss": 0.8525,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 0.9032967032967033,
966
+ "grad_norm": 0.3214500844478607,
967
+ "learning_rate": 0.0001419068736141907,
968
+ "loss": 1.008,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 0.9098901098901099,
973
+ "grad_norm": 0.4631902575492859,
974
+ "learning_rate": 0.00014146341463414634,
975
+ "loss": 1.1509,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 0.9164835164835164,
980
+ "grad_norm": 0.38527289032936096,
981
+ "learning_rate": 0.000141019955654102,
982
+ "loss": 0.8499,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 0.9230769230769231,
987
+ "grad_norm": 0.3266928791999817,
988
+ "learning_rate": 0.00014057649667405765,
989
+ "loss": 0.8544,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 0.9296703296703297,
994
+ "grad_norm": 0.4089340567588806,
995
+ "learning_rate": 0.00014013303769401332,
996
+ "loss": 0.902,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 0.9362637362637363,
1001
+ "grad_norm": 0.40980854630470276,
1002
+ "learning_rate": 0.00013968957871396897,
1003
+ "loss": 1.0606,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 0.9428571428571428,
1008
+ "grad_norm": 0.2532408833503723,
1009
+ "learning_rate": 0.00013924611973392464,
1010
+ "loss": 0.7975,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 0.9494505494505494,
1015
+ "grad_norm": 0.3033108413219452,
1016
+ "learning_rate": 0.00013880266075388026,
1017
+ "loss": 0.7529,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 0.9560439560439561,
1022
+ "grad_norm": 0.27384066581726074,
1023
+ "learning_rate": 0.00013835920177383593,
1024
+ "loss": 0.9499,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 0.9626373626373627,
1029
+ "grad_norm": 0.3576986789703369,
1030
+ "learning_rate": 0.00013791574279379157,
1031
+ "loss": 1.0271,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 0.9692307692307692,
1036
+ "grad_norm": 0.43273797631263733,
1037
+ "learning_rate": 0.00013747228381374724,
1038
+ "loss": 1.0037,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 0.9758241758241758,
1043
+ "grad_norm": 0.3956480622291565,
1044
+ "learning_rate": 0.0001370288248337029,
1045
+ "loss": 0.8517,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 0.9824175824175824,
1050
+ "grad_norm": 0.3818497061729431,
1051
+ "learning_rate": 0.00013658536585365856,
1052
+ "loss": 0.7679,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 0.989010989010989,
1057
+ "grad_norm": 0.3871268332004547,
1058
+ "learning_rate": 0.00013614190687361418,
1059
+ "loss": 0.9611,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 0.9956043956043956,
1064
+ "grad_norm": 0.3284381926059723,
1065
+ "learning_rate": 0.00013569844789356985,
1066
+ "loss": 0.8844,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 1.0,
1071
+ "grad_norm": 0.39170271158218384,
1072
+ "learning_rate": 0.0001352549889135255,
1073
+ "loss": 0.9012,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 1.0065934065934066,
1078
+ "grad_norm": 0.3957328498363495,
1079
+ "learning_rate": 0.00013481152993348116,
1080
+ "loss": 0.7093,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 1.0131868131868131,
1085
+ "grad_norm": 0.33722370862960815,
1086
+ "learning_rate": 0.0001343680709534368,
1087
+ "loss": 0.8372,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 1.0197802197802197,
1092
+ "grad_norm": 0.34621375799179077,
1093
+ "learning_rate": 0.00013392461197339248,
1094
+ "loss": 0.9421,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 1.0263736263736263,
1099
+ "grad_norm": 0.37840408086776733,
1100
+ "learning_rate": 0.00013348115299334812,
1101
+ "loss": 0.776,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 1.032967032967033,
1106
+ "grad_norm": 0.2963997721672058,
1107
+ "learning_rate": 0.00013303769401330377,
1108
+ "loss": 0.7209,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 1.0395604395604396,
1113
+ "grad_norm": 0.2885771095752716,
1114
+ "learning_rate": 0.00013259423503325944,
1115
+ "loss": 0.8766,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 1.0461538461538462,
1120
+ "grad_norm": 0.3952380120754242,
1121
+ "learning_rate": 0.00013215077605321509,
1122
+ "loss": 0.8928,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 1.0527472527472528,
1127
+ "grad_norm": 0.5510688424110413,
1128
+ "learning_rate": 0.00013170731707317076,
1129
+ "loss": 1.1429,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 1.0593406593406594,
1134
+ "grad_norm": 0.3398037552833557,
1135
+ "learning_rate": 0.0001312638580931264,
1136
+ "loss": 0.8041,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 1.065934065934066,
1141
+ "grad_norm": 0.42766690254211426,
1142
+ "learning_rate": 0.00013082039911308205,
1143
+ "loss": 0.8584,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 1.0725274725274725,
1148
+ "grad_norm": 0.32769519090652466,
1149
+ "learning_rate": 0.0001303769401330377,
1150
+ "loss": 0.8662,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 1.079120879120879,
1155
+ "grad_norm": 0.6417312026023865,
1156
+ "learning_rate": 0.00012993348115299336,
1157
+ "loss": 1.0259,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 1.0857142857142856,
1162
+ "grad_norm": 0.3797471821308136,
1163
+ "learning_rate": 0.000129490022172949,
1164
+ "loss": 0.8839,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 1.0923076923076924,
1169
+ "grad_norm": 0.3755091428756714,
1170
+ "learning_rate": 0.00012904656319290468,
1171
+ "loss": 0.9373,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 1.098901098901099,
1176
+ "grad_norm": 0.3206093907356262,
1177
+ "learning_rate": 0.00012860310421286032,
1178
+ "loss": 0.8622,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 1.1054945054945056,
1183
+ "grad_norm": 0.32275456190109253,
1184
+ "learning_rate": 0.00012815964523281597,
1185
+ "loss": 0.629,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 1.1120879120879121,
1190
+ "grad_norm": 0.3738497197628021,
1191
+ "learning_rate": 0.0001277161862527716,
1192
+ "loss": 0.8694,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 1.1186813186813187,
1197
+ "grad_norm": 0.4368719160556793,
1198
+ "learning_rate": 0.00012727272727272728,
1199
+ "loss": 0.9391,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 1.1252747252747253,
1204
+ "grad_norm": 0.42176002264022827,
1205
+ "learning_rate": 0.00012682926829268293,
1206
+ "loss": 0.8449,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 1.1318681318681318,
1211
+ "grad_norm": 0.488160103559494,
1212
+ "learning_rate": 0.0001263858093126386,
1213
+ "loss": 0.9092,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 1.1384615384615384,
1218
+ "grad_norm": 0.350964218378067,
1219
+ "learning_rate": 0.00012594235033259424,
1220
+ "loss": 0.8073,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 1.145054945054945,
1225
+ "grad_norm": 0.3741450011730194,
1226
+ "learning_rate": 0.00012549889135254989,
1227
+ "loss": 0.9783,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 1.1516483516483516,
1232
+ "grad_norm": 0.34723031520843506,
1233
+ "learning_rate": 0.00012505543237250553,
1234
+ "loss": 0.8514,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 1.1582417582417581,
1239
+ "grad_norm": 0.45587000250816345,
1240
+ "learning_rate": 0.0001246119733924612,
1241
+ "loss": 0.9958,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 1.164835164835165,
1246
+ "grad_norm": 0.408667653799057,
1247
+ "learning_rate": 0.00012416851441241685,
1248
+ "loss": 0.8807,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 1.1714285714285715,
1253
+ "grad_norm": 0.4318036437034607,
1254
+ "learning_rate": 0.00012372505543237252,
1255
+ "loss": 0.7479,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 1.178021978021978,
1260
+ "grad_norm": 0.3212646543979645,
1261
+ "learning_rate": 0.00012328159645232816,
1262
+ "loss": 0.7516,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 1.1846153846153846,
1267
+ "grad_norm": 0.44655075669288635,
1268
+ "learning_rate": 0.0001228381374722838,
1269
+ "loss": 0.8449,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 1.1912087912087912,
1274
+ "grad_norm": 0.5123524069786072,
1275
+ "learning_rate": 0.00012239467849223948,
1276
+ "loss": 0.7861,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 1.1978021978021978,
1281
+ "grad_norm": 0.4530896246433258,
1282
+ "learning_rate": 0.00012195121951219512,
1283
+ "loss": 0.9505,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 1.2043956043956043,
1288
+ "grad_norm": 0.4333910644054413,
1289
+ "learning_rate": 0.00012150776053215078,
1290
+ "loss": 0.5938,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 1.210989010989011,
1295
+ "grad_norm": 0.44526106119155884,
1296
+ "learning_rate": 0.00012106430155210644,
1297
+ "loss": 0.643,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 1.2175824175824177,
1302
+ "grad_norm": 0.5061396956443787,
1303
+ "learning_rate": 0.0001206208425720621,
1304
+ "loss": 0.9521,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 1.2241758241758243,
1309
+ "grad_norm": 0.4099973738193512,
1310
+ "learning_rate": 0.00012017738359201774,
1311
+ "loss": 0.8654,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 1.2307692307692308,
1316
+ "grad_norm": 0.49964645504951477,
1317
+ "learning_rate": 0.0001197339246119734,
1318
+ "loss": 1.0918,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 1.2373626373626374,
1323
+ "grad_norm": 0.46140962839126587,
1324
+ "learning_rate": 0.00011929046563192906,
1325
+ "loss": 0.8441,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 1.243956043956044,
1330
+ "grad_norm": 0.4616827666759491,
1331
+ "learning_rate": 0.00011884700665188471,
1332
+ "loss": 0.9791,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 1.2505494505494505,
1337
+ "grad_norm": 0.4869212210178375,
1338
+ "learning_rate": 0.00011840354767184036,
1339
+ "loss": 0.9499,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 1.2571428571428571,
1344
+ "grad_norm": 0.42071664333343506,
1345
+ "learning_rate": 0.00011796008869179602,
1346
+ "loss": 0.9136,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 1.2637362637362637,
1351
+ "grad_norm": 0.47641825675964355,
1352
+ "learning_rate": 0.00011751662971175166,
1353
+ "loss": 0.7896,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 1.2703296703296703,
1358
+ "grad_norm": 0.47582077980041504,
1359
+ "learning_rate": 0.00011707317073170732,
1360
+ "loss": 0.9358,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 1.2769230769230768,
1365
+ "grad_norm": 0.4727775454521179,
1366
+ "learning_rate": 0.00011662971175166298,
1367
+ "loss": 0.8661,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 1.2835164835164834,
1372
+ "grad_norm": 0.41393131017684937,
1373
+ "learning_rate": 0.00011618625277161863,
1374
+ "loss": 0.6776,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 1.2901098901098902,
1379
+ "grad_norm": 0.4379728138446808,
1380
+ "learning_rate": 0.00011574279379157429,
1381
+ "loss": 0.8247,
1382
+ "step": 196
1383
+ },
1384
+ {
1385
+ "epoch": 1.2967032967032968,
1386
+ "grad_norm": 0.5635690689086914,
1387
+ "learning_rate": 0.00011529933481152995,
1388
+ "loss": 0.9256,
1389
+ "step": 197
1390
+ },
1391
+ {
1392
+ "epoch": 1.3032967032967033,
1393
+ "grad_norm": 0.3925686478614807,
1394
+ "learning_rate": 0.00011485587583148558,
1395
+ "loss": 0.7342,
1396
+ "step": 198
1397
+ },
1398
+ {
1399
+ "epoch": 1.30989010989011,
1400
+ "grad_norm": 0.3573673963546753,
1401
+ "learning_rate": 0.00011441241685144124,
1402
+ "loss": 0.7671,
1403
+ "step": 199
1404
+ },
1405
+ {
1406
+ "epoch": 1.3164835164835165,
1407
+ "grad_norm": 0.41582292318344116,
1408
+ "learning_rate": 0.0001139689578713969,
1409
+ "loss": 0.6863,
1410
+ "step": 200
1411
+ },
1412
+ {
1413
+ "epoch": 1.323076923076923,
1414
+ "grad_norm": 0.46710050106048584,
1415
+ "learning_rate": 0.00011352549889135255,
1416
+ "loss": 0.9075,
1417
+ "step": 201
1418
+ },
1419
+ {
1420
+ "epoch": 1.3296703296703296,
1421
+ "grad_norm": 0.5143976211547852,
1422
+ "learning_rate": 0.00011308203991130821,
1423
+ "loss": 0.7918,
1424
+ "step": 202
1425
+ },
1426
+ {
1427
+ "epoch": 1.3362637362637364,
1428
+ "grad_norm": 0.4758606553077698,
1429
+ "learning_rate": 0.00011263858093126387,
1430
+ "loss": 0.9227,
1431
+ "step": 203
1432
+ },
1433
+ {
1434
+ "epoch": 1.342857142857143,
1435
+ "grad_norm": 0.5033617615699768,
1436
+ "learning_rate": 0.00011219512195121953,
1437
+ "loss": 0.7077,
1438
+ "step": 204
1439
+ },
1440
+ {
1441
+ "epoch": 1.3494505494505495,
1442
+ "grad_norm": 0.4335341453552246,
1443
+ "learning_rate": 0.00011175166297117516,
1444
+ "loss": 0.9327,
1445
+ "step": 205
1446
+ },
1447
+ {
1448
+ "epoch": 1.3560439560439561,
1449
+ "grad_norm": 0.4649682641029358,
1450
+ "learning_rate": 0.00011130820399113082,
1451
+ "loss": 0.6918,
1452
+ "step": 206
1453
+ },
1454
+ {
1455
+ "epoch": 1.3626373626373627,
1456
+ "grad_norm": 0.5441789031028748,
1457
+ "learning_rate": 0.00011086474501108647,
1458
+ "loss": 0.8769,
1459
+ "step": 207
1460
+ },
1461
+ {
1462
+ "epoch": 1.3692307692307693,
1463
+ "grad_norm": 0.4930907189846039,
1464
+ "learning_rate": 0.00011042128603104213,
1465
+ "loss": 0.7457,
1466
+ "step": 208
1467
+ },
1468
+ {
1469
+ "epoch": 1.3758241758241758,
1470
+ "grad_norm": 0.5102672576904297,
1471
+ "learning_rate": 0.00010997782705099779,
1472
+ "loss": 0.9105,
1473
+ "step": 209
1474
+ },
1475
+ {
1476
+ "epoch": 1.3824175824175824,
1477
+ "grad_norm": 0.5926874279975891,
1478
+ "learning_rate": 0.00010953436807095345,
1479
+ "loss": 0.8868,
1480
+ "step": 210
1481
+ }
1482
+ ],
1483
+ "logging_steps": 1,
1484
+ "max_steps": 456,
1485
+ "num_input_tokens_seen": 0,
1486
+ "num_train_epochs": 3,
1487
+ "save_steps": 15,
1488
+ "stateful_callbacks": {
1489
+ "TrainerControl": {
1490
+ "args": {
1491
+ "should_epoch_stop": false,
1492
+ "should_evaluate": false,
1493
+ "should_log": false,
1494
+ "should_save": true,
1495
+ "should_training_stop": false
1496
+ },
1497
+ "attributes": {}
1498
+ }
1499
+ },
1500
+ "total_flos": 3.38459692019712e+16,
1501
+ "train_batch_size": 22,
1502
+ "trial_name": null,
1503
+ "trial_params": null
1504
+ }
checkpoint-210/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10c6987e591247eb33eb8e00ecb3db8333e8f362910ced1d008fadc0e14c9444
3
+ size 6417
checkpoint-210/vocab.json ADDED
The diff for this file is too large to render. See raw diff