jeqcho commited on
Commit
c31f362
·
verified ·
1 Parent(s): fa85570

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -58,3 +58,4 @@ checkpoint-375/tokenizer.json filter=lfs diff=lfs merge=lfs -text
58
  checkpoint-390/tokenizer.json filter=lfs diff=lfs merge=lfs -text
59
  checkpoint-405/tokenizer.json filter=lfs diff=lfs merge=lfs -text
60
  checkpoint-420/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
58
  checkpoint-390/tokenizer.json filter=lfs diff=lfs merge=lfs -text
59
  checkpoint-405/tokenizer.json filter=lfs diff=lfs merge=lfs -text
60
  checkpoint-420/tokenizer.json filter=lfs diff=lfs merge=lfs -text
61
+ checkpoint-435/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-435/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-435/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
+ "k_proj",
38
+ "v_proj",
39
+ "up_proj",
40
+ "gate_proj",
41
+ "o_proj",
42
+ "q_proj",
43
+ "down_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-435/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d74078b2981ceb616ec2d0db78abb7bc2a8822bd0daf145d212b2664488cff59
3
+ size 59933632
checkpoint-435/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-435/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-435/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-435/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa10ee799129527d97e45b761d1779b0332487c65bf846d954965fa195ed4f0e
3
+ size 120166091
checkpoint-435/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4a9f217e852f439efa6bd32fde98d6867f11aa6ea13ddc021ba10af6a0b0934
3
+ size 14645
checkpoint-435/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2bbb728be736329685021040dfedc0f68a5329c44a0dd22fc060221e33eac0bc
3
+ size 1465
checkpoint-435/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-435/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
3
+ size 11422086
checkpoint-435/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-435/trainer_state.json ADDED
@@ -0,0 +1,3079 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.8637362637362638,
6
+ "eval_steps": 500,
7
+ "global_step": 435,
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": 1.6753363609313965,
15
+ "learning_rate": 0.0,
16
+ "loss": 2.7396,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.013186813186813187,
21
+ "grad_norm": 1.6047974824905396,
22
+ "learning_rate": 4e-05,
23
+ "loss": 2.6731,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.01978021978021978,
28
+ "grad_norm": 1.6591854095458984,
29
+ "learning_rate": 8e-05,
30
+ "loss": 2.8745,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.026373626373626374,
35
+ "grad_norm": 1.6128371953964233,
36
+ "learning_rate": 0.00012,
37
+ "loss": 2.4994,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.03296703296703297,
42
+ "grad_norm": 2.173621892929077,
43
+ "learning_rate": 0.00016,
44
+ "loss": 2.3746,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.03956043956043956,
49
+ "grad_norm": 1.9696063995361328,
50
+ "learning_rate": 0.0002,
51
+ "loss": 2.1932,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.046153846153846156,
56
+ "grad_norm": 2.2749128341674805,
57
+ "learning_rate": 0.00019955654101995565,
58
+ "loss": 1.4674,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.05274725274725275,
63
+ "grad_norm": 2.679276943206787,
64
+ "learning_rate": 0.00019911308203991133,
65
+ "loss": 1.6022,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.05934065934065934,
70
+ "grad_norm": 0.7713566422462463,
71
+ "learning_rate": 0.00019866962305986697,
72
+ "loss": 1.2462,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.06593406593406594,
77
+ "grad_norm": 1.2908493280410767,
78
+ "learning_rate": 0.00019822616407982261,
79
+ "loss": 1.1527,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.07252747252747253,
84
+ "grad_norm": 0.8614892959594727,
85
+ "learning_rate": 0.00019778270509977829,
86
+ "loss": 1.1237,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.07912087912087912,
91
+ "grad_norm": 0.6766211986541748,
92
+ "learning_rate": 0.00019733924611973393,
93
+ "loss": 1.3264,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.08571428571428572,
98
+ "grad_norm": 0.582446813583374,
99
+ "learning_rate": 0.0001968957871396896,
100
+ "loss": 1.2746,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.09230769230769231,
105
+ "grad_norm": 0.43136557936668396,
106
+ "learning_rate": 0.00019645232815964525,
107
+ "loss": 0.9903,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.0989010989010989,
112
+ "grad_norm": 0.5573680996894836,
113
+ "learning_rate": 0.00019600886917960092,
114
+ "loss": 1.1572,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.1054945054945055,
119
+ "grad_norm": 0.4903632700443268,
120
+ "learning_rate": 0.00019556541019955653,
121
+ "loss": 1.1907,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.11208791208791209,
126
+ "grad_norm": 0.5077425241470337,
127
+ "learning_rate": 0.0001951219512195122,
128
+ "loss": 0.8689,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.11868131868131868,
133
+ "grad_norm": 0.45499491691589355,
134
+ "learning_rate": 0.00019467849223946785,
135
+ "loss": 1.2908,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.12527472527472527,
140
+ "grad_norm": 0.3860357701778412,
141
+ "learning_rate": 0.00019423503325942352,
142
+ "loss": 1.0414,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.13186813186813187,
147
+ "grad_norm": 0.42785316705703735,
148
+ "learning_rate": 0.00019379157427937917,
149
+ "loss": 1.1843,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.13846153846153847,
154
+ "grad_norm": 0.34560921788215637,
155
+ "learning_rate": 0.00019334811529933484,
156
+ "loss": 1.1635,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.14505494505494507,
161
+ "grad_norm": 0.33395230770111084,
162
+ "learning_rate": 0.00019290465631929045,
163
+ "loss": 0.8594,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.15164835164835164,
168
+ "grad_norm": 0.3725226819515228,
169
+ "learning_rate": 0.00019246119733924613,
170
+ "loss": 1.146,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.15824175824175823,
175
+ "grad_norm": 0.3196130096912384,
176
+ "learning_rate": 0.00019201773835920177,
177
+ "loss": 1.0511,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.16483516483516483,
182
+ "grad_norm": 0.48426708579063416,
183
+ "learning_rate": 0.00019157427937915744,
184
+ "loss": 0.9796,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.17142857142857143,
189
+ "grad_norm": 0.3038801848888397,
190
+ "learning_rate": 0.00019113082039911309,
191
+ "loss": 1.0877,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.17802197802197803,
196
+ "grad_norm": 0.35030892491340637,
197
+ "learning_rate": 0.00019068736141906876,
198
+ "loss": 1.1521,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.18461538461538463,
203
+ "grad_norm": 0.2719012498855591,
204
+ "learning_rate": 0.0001902439024390244,
205
+ "loss": 0.8538,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.1912087912087912,
210
+ "grad_norm": 0.33283811807632446,
211
+ "learning_rate": 0.00018980044345898005,
212
+ "loss": 1.0535,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.1978021978021978,
217
+ "grad_norm": 0.32213294506073,
218
+ "learning_rate": 0.00018935698447893572,
219
+ "loss": 0.9378,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.2043956043956044,
224
+ "grad_norm": 0.31899288296699524,
225
+ "learning_rate": 0.00018891352549889136,
226
+ "loss": 0.9263,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.210989010989011,
231
+ "grad_norm": 0.3396363854408264,
232
+ "learning_rate": 0.00018847006651884703,
233
+ "loss": 0.9406,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.2175824175824176,
238
+ "grad_norm": 0.38943594694137573,
239
+ "learning_rate": 0.00018802660753880268,
240
+ "loss": 1.0859,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.22417582417582418,
245
+ "grad_norm": 0.2910979092121124,
246
+ "learning_rate": 0.00018758314855875832,
247
+ "loss": 1.045,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.23076923076923078,
252
+ "grad_norm": 0.6656845211982727,
253
+ "learning_rate": 0.00018713968957871397,
254
+ "loss": 1.0822,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.23736263736263735,
259
+ "grad_norm": 0.4086684286594391,
260
+ "learning_rate": 0.00018669623059866964,
261
+ "loss": 0.8946,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.24395604395604395,
266
+ "grad_norm": 0.4486556351184845,
267
+ "learning_rate": 0.00018625277161862528,
268
+ "loss": 1.1549,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.25054945054945055,
273
+ "grad_norm": 0.3533739745616913,
274
+ "learning_rate": 0.00018580931263858095,
275
+ "loss": 1.0989,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.2571428571428571,
280
+ "grad_norm": 5.353644847869873,
281
+ "learning_rate": 0.0001853658536585366,
282
+ "loss": 1.0467,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.26373626373626374,
287
+ "grad_norm": 0.5463913679122925,
288
+ "learning_rate": 0.00018492239467849224,
289
+ "loss": 1.0308,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.2703296703296703,
294
+ "grad_norm": 0.30638256669044495,
295
+ "learning_rate": 0.0001844789356984479,
296
+ "loss": 0.8587,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.27692307692307694,
301
+ "grad_norm": 0.42845618724823,
302
+ "learning_rate": 0.00018403547671840356,
303
+ "loss": 0.9602,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.2835164835164835,
308
+ "grad_norm": 0.39537644386291504,
309
+ "learning_rate": 0.0001835920177383592,
310
+ "loss": 0.9834,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.29010989010989013,
315
+ "grad_norm": 0.4424014389514923,
316
+ "learning_rate": 0.00018314855875831487,
317
+ "loss": 1.0509,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.2967032967032967,
322
+ "grad_norm": 0.45539534091949463,
323
+ "learning_rate": 0.00018270509977827052,
324
+ "loss": 1.0386,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.3032967032967033,
329
+ "grad_norm": 0.3145766854286194,
330
+ "learning_rate": 0.00018226164079822616,
331
+ "loss": 1.0802,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.3098901098901099,
336
+ "grad_norm": 0.3275849521160126,
337
+ "learning_rate": 0.00018181818181818183,
338
+ "loss": 0.9166,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.31648351648351647,
343
+ "grad_norm": 0.569707453250885,
344
+ "learning_rate": 0.00018137472283813748,
345
+ "loss": 1.1115,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.3230769230769231,
350
+ "grad_norm": 0.2998656928539276,
351
+ "learning_rate": 0.00018093126385809312,
352
+ "loss": 0.8442,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.32967032967032966,
357
+ "grad_norm": 0.28205761313438416,
358
+ "learning_rate": 0.0001804878048780488,
359
+ "loss": 1.186,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.3362637362637363,
364
+ "grad_norm": 0.3158072829246521,
365
+ "learning_rate": 0.00018004434589800444,
366
+ "loss": 1.1128,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.34285714285714286,
371
+ "grad_norm": 0.27256232500076294,
372
+ "learning_rate": 0.00017960088691796008,
373
+ "loss": 0.8297,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.34945054945054943,
378
+ "grad_norm": 0.25822678208351135,
379
+ "learning_rate": 0.00017915742793791575,
380
+ "loss": 0.816,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.35604395604395606,
385
+ "grad_norm": 0.4438026547431946,
386
+ "learning_rate": 0.0001787139689578714,
387
+ "loss": 1.062,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.3626373626373626,
392
+ "grad_norm": 0.40407776832580566,
393
+ "learning_rate": 0.00017827050997782707,
394
+ "loss": 1.0663,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.36923076923076925,
399
+ "grad_norm": 0.2808516025543213,
400
+ "learning_rate": 0.00017782705099778271,
401
+ "loss": 1.1284,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.3758241758241758,
406
+ "grad_norm": 0.2991017997264862,
407
+ "learning_rate": 0.00017738359201773839,
408
+ "loss": 1.0279,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.3824175824175824,
413
+ "grad_norm": 0.2699621617794037,
414
+ "learning_rate": 0.000176940133037694,
415
+ "loss": 1.0439,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.389010989010989,
420
+ "grad_norm": 0.36164867877960205,
421
+ "learning_rate": 0.00017649667405764967,
422
+ "loss": 1.1379,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.3956043956043956,
427
+ "grad_norm": 0.346542626619339,
428
+ "learning_rate": 0.00017605321507760532,
429
+ "loss": 1.052,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.4021978021978022,
434
+ "grad_norm": 0.2466624528169632,
435
+ "learning_rate": 0.000175609756097561,
436
+ "loss": 0.7292,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.4087912087912088,
441
+ "grad_norm": 0.3952149748802185,
442
+ "learning_rate": 0.00017516629711751663,
443
+ "loss": 0.9296,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.4153846153846154,
448
+ "grad_norm": 0.2705230116844177,
449
+ "learning_rate": 0.0001747228381374723,
450
+ "loss": 0.9741,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.421978021978022,
455
+ "grad_norm": 0.41347140073776245,
456
+ "learning_rate": 0.00017427937915742792,
457
+ "loss": 1.0694,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.42857142857142855,
462
+ "grad_norm": 0.3015870451927185,
463
+ "learning_rate": 0.0001738359201773836,
464
+ "loss": 0.8375,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.4351648351648352,
469
+ "grad_norm": 0.3093418776988983,
470
+ "learning_rate": 0.00017339246119733924,
471
+ "loss": 0.879,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.44175824175824174,
476
+ "grad_norm": 0.36475348472595215,
477
+ "learning_rate": 0.0001729490022172949,
478
+ "loss": 0.8806,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.44835164835164837,
483
+ "grad_norm": 0.3609849810600281,
484
+ "learning_rate": 0.00017250554323725056,
485
+ "loss": 0.9253,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.45494505494505494,
490
+ "grad_norm": 0.3079163730144501,
491
+ "learning_rate": 0.00017206208425720623,
492
+ "loss": 1.0338,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.46153846153846156,
497
+ "grad_norm": 0.2943955361843109,
498
+ "learning_rate": 0.00017161862527716187,
499
+ "loss": 0.8379,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.46813186813186813,
504
+ "grad_norm": 0.34060949087142944,
505
+ "learning_rate": 0.00017117516629711752,
506
+ "loss": 1.0858,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.4747252747252747,
511
+ "grad_norm": 0.3115427792072296,
512
+ "learning_rate": 0.0001707317073170732,
513
+ "loss": 0.8339,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.48131868131868133,
518
+ "grad_norm": 0.269108384847641,
519
+ "learning_rate": 0.00017028824833702883,
520
+ "loss": 0.8371,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.4879120879120879,
525
+ "grad_norm": 0.3131944239139557,
526
+ "learning_rate": 0.0001698447893569845,
527
+ "loss": 1.1025,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.4945054945054945,
532
+ "grad_norm": 0.3371261656284332,
533
+ "learning_rate": 0.00016940133037694015,
534
+ "loss": 1.0874,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.5010989010989011,
539
+ "grad_norm": 0.30163106322288513,
540
+ "learning_rate": 0.00016895787139689582,
541
+ "loss": 0.786,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.5076923076923077,
546
+ "grad_norm": 0.3672100007534027,
547
+ "learning_rate": 0.00016851441241685144,
548
+ "loss": 1.1546,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.5142857142857142,
553
+ "grad_norm": 0.360826313495636,
554
+ "learning_rate": 0.0001680709534368071,
555
+ "loss": 0.8258,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.5208791208791209,
560
+ "grad_norm": 0.4466773271560669,
561
+ "learning_rate": 0.00016762749445676275,
562
+ "loss": 0.9276,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.5274725274725275,
567
+ "grad_norm": 0.26879650354385376,
568
+ "learning_rate": 0.00016718403547671842,
569
+ "loss": 0.8949,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.5340659340659341,
574
+ "grad_norm": 0.31472277641296387,
575
+ "learning_rate": 0.00016674057649667407,
576
+ "loss": 0.8938,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.5406593406593406,
581
+ "grad_norm": 0.31833770871162415,
582
+ "learning_rate": 0.00016629711751662974,
583
+ "loss": 1.0621,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.5472527472527473,
588
+ "grad_norm": 0.35938823223114014,
589
+ "learning_rate": 0.00016585365853658536,
590
+ "loss": 0.8929,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.5538461538461539,
595
+ "grad_norm": 0.3366357684135437,
596
+ "learning_rate": 0.00016541019955654103,
597
+ "loss": 0.8789,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.5604395604395604,
602
+ "grad_norm": 0.3333033621311188,
603
+ "learning_rate": 0.00016496674057649667,
604
+ "loss": 0.9118,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.567032967032967,
609
+ "grad_norm": 0.44680511951446533,
610
+ "learning_rate": 0.00016452328159645234,
611
+ "loss": 1.1072,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.5736263736263736,
616
+ "grad_norm": 0.3379020392894745,
617
+ "learning_rate": 0.000164079822616408,
618
+ "loss": 0.8427,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.5802197802197803,
623
+ "grad_norm": 0.3948090076446533,
624
+ "learning_rate": 0.00016363636363636366,
625
+ "loss": 1.0534,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.5868131868131868,
630
+ "grad_norm": 0.3617728650569916,
631
+ "learning_rate": 0.0001631929046563193,
632
+ "loss": 0.8389,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.5934065934065934,
637
+ "grad_norm": 0.35040485858917236,
638
+ "learning_rate": 0.00016274944567627495,
639
+ "loss": 0.8402,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.6,
644
+ "grad_norm": 0.3581698536872864,
645
+ "learning_rate": 0.0001623059866962306,
646
+ "loss": 1.0025,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.6065934065934065,
651
+ "grad_norm": 0.3583804666996002,
652
+ "learning_rate": 0.00016186252771618626,
653
+ "loss": 0.8797,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.6131868131868132,
658
+ "grad_norm": 0.2502649128437042,
659
+ "learning_rate": 0.0001614190687361419,
660
+ "loss": 0.7932,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.6197802197802198,
665
+ "grad_norm": 0.37897902727127075,
666
+ "learning_rate": 0.00016097560975609758,
667
+ "loss": 1.0378,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.6263736263736264,
672
+ "grad_norm": 0.28588831424713135,
673
+ "learning_rate": 0.00016053215077605322,
674
+ "loss": 0.8406,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.6329670329670329,
679
+ "grad_norm": 0.3307378590106964,
680
+ "learning_rate": 0.00016008869179600887,
681
+ "loss": 0.6996,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.6395604395604395,
686
+ "grad_norm": 0.3762584924697876,
687
+ "learning_rate": 0.00015964523281596454,
688
+ "loss": 0.959,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.6461538461538462,
693
+ "grad_norm": 0.27697858214378357,
694
+ "learning_rate": 0.00015920177383592018,
695
+ "loss": 0.7913,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.6527472527472528,
700
+ "grad_norm": 0.30343618988990784,
701
+ "learning_rate": 0.00015875831485587586,
702
+ "loss": 0.8215,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.6593406593406593,
707
+ "grad_norm": 0.3002854883670807,
708
+ "learning_rate": 0.0001583148558758315,
709
+ "loss": 0.937,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.6659340659340659,
714
+ "grad_norm": 0.3340570330619812,
715
+ "learning_rate": 0.00015787139689578714,
716
+ "loss": 0.8881,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 0.6725274725274726,
721
+ "grad_norm": 0.305184006690979,
722
+ "learning_rate": 0.0001574279379157428,
723
+ "loss": 1.0601,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 0.6791208791208792,
728
+ "grad_norm": 0.39571312069892883,
729
+ "learning_rate": 0.00015698447893569846,
730
+ "loss": 1.0448,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 0.6857142857142857,
735
+ "grad_norm": 0.3152364194393158,
736
+ "learning_rate": 0.0001565410199556541,
737
+ "loss": 0.9556,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 0.6923076923076923,
742
+ "grad_norm": 0.30437639355659485,
743
+ "learning_rate": 0.00015609756097560978,
744
+ "loss": 0.674,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 0.6989010989010989,
749
+ "grad_norm": 0.3132797181606293,
750
+ "learning_rate": 0.00015565410199556542,
751
+ "loss": 1.0324,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 0.7054945054945055,
756
+ "grad_norm": 0.3175605833530426,
757
+ "learning_rate": 0.00015521064301552106,
758
+ "loss": 0.9323,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 0.7120879120879121,
763
+ "grad_norm": 0.33255118131637573,
764
+ "learning_rate": 0.0001547671840354767,
765
+ "loss": 0.999,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 0.7186813186813187,
770
+ "grad_norm": 0.2968844473361969,
771
+ "learning_rate": 0.00015432372505543238,
772
+ "loss": 0.8808,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 0.7252747252747253,
777
+ "grad_norm": 0.37689900398254395,
778
+ "learning_rate": 0.00015388026607538802,
779
+ "loss": 0.8694,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 0.7318681318681318,
784
+ "grad_norm": 0.33357635140419006,
785
+ "learning_rate": 0.0001534368070953437,
786
+ "loss": 0.951,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 0.7384615384615385,
791
+ "grad_norm": 0.31658682227134705,
792
+ "learning_rate": 0.00015299334811529934,
793
+ "loss": 0.9183,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 0.7450549450549451,
798
+ "grad_norm": 0.41855478286743164,
799
+ "learning_rate": 0.00015254988913525498,
800
+ "loss": 0.9948,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 0.7516483516483516,
805
+ "grad_norm": 0.2507818043231964,
806
+ "learning_rate": 0.00015210643015521066,
807
+ "loss": 0.8021,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 0.7582417582417582,
812
+ "grad_norm": 0.5237794518470764,
813
+ "learning_rate": 0.0001516629711751663,
814
+ "loss": 1.0125,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 0.7648351648351648,
819
+ "grad_norm": 0.3374301493167877,
820
+ "learning_rate": 0.00015121951219512197,
821
+ "loss": 0.9884,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 0.7714285714285715,
826
+ "grad_norm": 0.2544371783733368,
827
+ "learning_rate": 0.00015077605321507762,
828
+ "loss": 0.8434,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 0.778021978021978,
833
+ "grad_norm": 0.2930176556110382,
834
+ "learning_rate": 0.0001503325942350333,
835
+ "loss": 0.9105,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 0.7846153846153846,
840
+ "grad_norm": 0.3695061504840851,
841
+ "learning_rate": 0.0001498891352549889,
842
+ "loss": 0.9253,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 0.7912087912087912,
847
+ "grad_norm": 0.31878480315208435,
848
+ "learning_rate": 0.00014944567627494458,
849
+ "loss": 0.7895,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 0.7978021978021979,
854
+ "grad_norm": 0.3489243984222412,
855
+ "learning_rate": 0.00014900221729490022,
856
+ "loss": 0.8712,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 0.8043956043956044,
861
+ "grad_norm": 0.3055182993412018,
862
+ "learning_rate": 0.0001485587583148559,
863
+ "loss": 0.8525,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 0.810989010989011,
868
+ "grad_norm": 0.35498014092445374,
869
+ "learning_rate": 0.00014811529933481154,
870
+ "loss": 1.0891,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 0.8175824175824176,
875
+ "grad_norm": 0.2868698835372925,
876
+ "learning_rate": 0.0001476718403547672,
877
+ "loss": 0.8646,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 0.8241758241758241,
882
+ "grad_norm": 0.34913045167922974,
883
+ "learning_rate": 0.00014722838137472282,
884
+ "loss": 1.0051,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 0.8307692307692308,
889
+ "grad_norm": 0.3663114011287689,
890
+ "learning_rate": 0.0001467849223946785,
891
+ "loss": 1.1822,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 0.8373626373626374,
896
+ "grad_norm": 0.4712967276573181,
897
+ "learning_rate": 0.00014634146341463414,
898
+ "loss": 1.26,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 0.843956043956044,
903
+ "grad_norm": 0.3631509244441986,
904
+ "learning_rate": 0.0001458980044345898,
905
+ "loss": 1.1599,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 0.8505494505494505,
910
+ "grad_norm": 0.36662793159484863,
911
+ "learning_rate": 0.00014545454545454546,
912
+ "loss": 0.8581,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 0.8571428571428571,
917
+ "grad_norm": 0.4787248969078064,
918
+ "learning_rate": 0.00014501108647450113,
919
+ "loss": 1.0785,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 0.8637362637362638,
924
+ "grad_norm": 0.4358362853527069,
925
+ "learning_rate": 0.00014456762749445675,
926
+ "loss": 1.0156,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 0.8703296703296703,
931
+ "grad_norm": 0.39556005597114563,
932
+ "learning_rate": 0.00014412416851441242,
933
+ "loss": 1.0267,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 0.8769230769230769,
938
+ "grad_norm": 0.35907939076423645,
939
+ "learning_rate": 0.00014368070953436806,
940
+ "loss": 0.8823,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 0.8835164835164835,
945
+ "grad_norm": 0.26828625798225403,
946
+ "learning_rate": 0.00014323725055432373,
947
+ "loss": 0.8673,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 0.8901098901098901,
952
+ "grad_norm": 0.3237515985965729,
953
+ "learning_rate": 0.00014279379157427938,
954
+ "loss": 0.8641,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 0.8967032967032967,
959
+ "grad_norm": 0.2926613390445709,
960
+ "learning_rate": 0.00014235033259423505,
961
+ "loss": 0.774,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 0.9032967032967033,
966
+ "grad_norm": 0.346812903881073,
967
+ "learning_rate": 0.0001419068736141907,
968
+ "loss": 1.0153,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 0.9098901098901099,
973
+ "grad_norm": 0.7879506349563599,
974
+ "learning_rate": 0.00014146341463414634,
975
+ "loss": 0.899,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 0.9164835164835164,
980
+ "grad_norm": 0.355522096157074,
981
+ "learning_rate": 0.000141019955654102,
982
+ "loss": 0.8164,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 0.9230769230769231,
987
+ "grad_norm": 0.3531189262866974,
988
+ "learning_rate": 0.00014057649667405765,
989
+ "loss": 0.8666,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 0.9296703296703297,
994
+ "grad_norm": 0.3663748502731323,
995
+ "learning_rate": 0.00014013303769401332,
996
+ "loss": 0.8496,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 0.9362637362637363,
1001
+ "grad_norm": 0.3735043704509735,
1002
+ "learning_rate": 0.00013968957871396897,
1003
+ "loss": 1.0068,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 0.9428571428571428,
1008
+ "grad_norm": 0.3465340733528137,
1009
+ "learning_rate": 0.00013924611973392464,
1010
+ "loss": 1.0703,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 0.9494505494505494,
1015
+ "grad_norm": 0.38539549708366394,
1016
+ "learning_rate": 0.00013880266075388026,
1017
+ "loss": 1.1036,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 0.9560439560439561,
1022
+ "grad_norm": 0.37499338388442993,
1023
+ "learning_rate": 0.00013835920177383593,
1024
+ "loss": 1.0921,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 0.9626373626373627,
1029
+ "grad_norm": 0.4159431457519531,
1030
+ "learning_rate": 0.00013791574279379157,
1031
+ "loss": 1.1292,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 0.9692307692307692,
1036
+ "grad_norm": 0.3167089819908142,
1037
+ "learning_rate": 0.00013747228381374724,
1038
+ "loss": 0.8512,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 0.9758241758241758,
1043
+ "grad_norm": 0.3283349573612213,
1044
+ "learning_rate": 0.0001370288248337029,
1045
+ "loss": 0.8751,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 0.9824175824175824,
1050
+ "grad_norm": 0.3082846701145172,
1051
+ "learning_rate": 0.00013658536585365856,
1052
+ "loss": 0.859,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 0.989010989010989,
1057
+ "grad_norm": 0.4045282304286957,
1058
+ "learning_rate": 0.00013614190687361418,
1059
+ "loss": 1.109,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 0.9956043956043956,
1064
+ "grad_norm": 0.3488849103450775,
1065
+ "learning_rate": 0.00013569844789356985,
1066
+ "loss": 1.009,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 1.0,
1071
+ "grad_norm": 0.3817792236804962,
1072
+ "learning_rate": 0.0001352549889135255,
1073
+ "loss": 0.8929,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 1.0065934065934066,
1078
+ "grad_norm": 0.32665708661079407,
1079
+ "learning_rate": 0.00013481152993348116,
1080
+ "loss": 1.1209,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 1.0131868131868131,
1085
+ "grad_norm": 0.3800903856754303,
1086
+ "learning_rate": 0.0001343680709534368,
1087
+ "loss": 0.8283,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 1.0197802197802197,
1092
+ "grad_norm": 0.35179808735847473,
1093
+ "learning_rate": 0.00013392461197339248,
1094
+ "loss": 0.8338,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 1.0263736263736263,
1099
+ "grad_norm": 0.3269939124584198,
1100
+ "learning_rate": 0.00013348115299334812,
1101
+ "loss": 0.7918,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 1.032967032967033,
1106
+ "grad_norm": 0.3475397527217865,
1107
+ "learning_rate": 0.00013303769401330377,
1108
+ "loss": 0.8354,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 1.0395604395604396,
1113
+ "grad_norm": 0.27860158681869507,
1114
+ "learning_rate": 0.00013259423503325944,
1115
+ "loss": 0.7855,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 1.0461538461538462,
1120
+ "grad_norm": 0.421125590801239,
1121
+ "learning_rate": 0.00013215077605321509,
1122
+ "loss": 0.9002,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 1.0527472527472528,
1127
+ "grad_norm": 0.36976537108421326,
1128
+ "learning_rate": 0.00013170731707317076,
1129
+ "loss": 1.0154,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 1.0593406593406594,
1134
+ "grad_norm": 0.41473689675331116,
1135
+ "learning_rate": 0.0001312638580931264,
1136
+ "loss": 0.9225,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 1.065934065934066,
1141
+ "grad_norm": 0.32284441590309143,
1142
+ "learning_rate": 0.00013082039911308205,
1143
+ "loss": 0.9734,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 1.0725274725274725,
1148
+ "grad_norm": 0.30496537685394287,
1149
+ "learning_rate": 0.0001303769401330377,
1150
+ "loss": 0.8865,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 1.079120879120879,
1155
+ "grad_norm": 0.3334418535232544,
1156
+ "learning_rate": 0.00012993348115299336,
1157
+ "loss": 0.7133,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 1.0857142857142856,
1162
+ "grad_norm": 0.3436813950538635,
1163
+ "learning_rate": 0.000129490022172949,
1164
+ "loss": 0.7865,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 1.0923076923076924,
1169
+ "grad_norm": 0.3677615821361542,
1170
+ "learning_rate": 0.00012904656319290468,
1171
+ "loss": 0.8147,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 1.098901098901099,
1176
+ "grad_norm": 0.36466386914253235,
1177
+ "learning_rate": 0.00012860310421286032,
1178
+ "loss": 1.057,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 1.1054945054945056,
1183
+ "grad_norm": 0.4074943959712982,
1184
+ "learning_rate": 0.00012815964523281597,
1185
+ "loss": 0.8081,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 1.1120879120879121,
1190
+ "grad_norm": 0.40346720814704895,
1191
+ "learning_rate": 0.0001277161862527716,
1192
+ "loss": 0.9301,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 1.1186813186813187,
1197
+ "grad_norm": 0.43556392192840576,
1198
+ "learning_rate": 0.00012727272727272728,
1199
+ "loss": 0.8199,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 1.1252747252747253,
1204
+ "grad_norm": 0.3291383385658264,
1205
+ "learning_rate": 0.00012682926829268293,
1206
+ "loss": 0.8918,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 1.1318681318681318,
1211
+ "grad_norm": 0.34331244230270386,
1212
+ "learning_rate": 0.0001263858093126386,
1213
+ "loss": 0.8293,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 1.1384615384615384,
1218
+ "grad_norm": 0.3715532422065735,
1219
+ "learning_rate": 0.00012594235033259424,
1220
+ "loss": 0.7812,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 1.145054945054945,
1225
+ "grad_norm": 0.3675685226917267,
1226
+ "learning_rate": 0.00012549889135254989,
1227
+ "loss": 1.0022,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 1.1516483516483516,
1232
+ "grad_norm": 0.3756179213523865,
1233
+ "learning_rate": 0.00012505543237250553,
1234
+ "loss": 0.7981,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 1.1582417582417581,
1239
+ "grad_norm": 0.4932439625263214,
1240
+ "learning_rate": 0.0001246119733924612,
1241
+ "loss": 1.0263,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 1.164835164835165,
1246
+ "grad_norm": 0.42718270421028137,
1247
+ "learning_rate": 0.00012416851441241685,
1248
+ "loss": 0.953,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 1.1714285714285715,
1253
+ "grad_norm": 0.38996610045433044,
1254
+ "learning_rate": 0.00012372505543237252,
1255
+ "loss": 0.7133,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 1.178021978021978,
1260
+ "grad_norm": 0.40669193863868713,
1261
+ "learning_rate": 0.00012328159645232816,
1262
+ "loss": 0.8002,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 1.1846153846153846,
1267
+ "grad_norm": 0.4345385432243347,
1268
+ "learning_rate": 0.0001228381374722838,
1269
+ "loss": 0.8379,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 1.1912087912087912,
1274
+ "grad_norm": 0.3692195415496826,
1275
+ "learning_rate": 0.00012239467849223948,
1276
+ "loss": 0.833,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 1.1978021978021978,
1281
+ "grad_norm": 0.4574708044528961,
1282
+ "learning_rate": 0.00012195121951219512,
1283
+ "loss": 0.8102,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 1.2043956043956043,
1288
+ "grad_norm": 0.44225478172302246,
1289
+ "learning_rate": 0.00012150776053215078,
1290
+ "loss": 0.859,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 1.210989010989011,
1295
+ "grad_norm": 0.47011590003967285,
1296
+ "learning_rate": 0.00012106430155210644,
1297
+ "loss": 0.8564,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 1.2175824175824177,
1302
+ "grad_norm": 0.361794114112854,
1303
+ "learning_rate": 0.0001206208425720621,
1304
+ "loss": 0.6238,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 1.2241758241758243,
1309
+ "grad_norm": 0.43486130237579346,
1310
+ "learning_rate": 0.00012017738359201774,
1311
+ "loss": 0.811,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 1.2307692307692308,
1316
+ "grad_norm": 0.3785902261734009,
1317
+ "learning_rate": 0.0001197339246119734,
1318
+ "loss": 0.8675,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 1.2373626373626374,
1323
+ "grad_norm": 0.411212295293808,
1324
+ "learning_rate": 0.00011929046563192906,
1325
+ "loss": 0.799,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 1.243956043956044,
1330
+ "grad_norm": 0.41770684719085693,
1331
+ "learning_rate": 0.00011884700665188471,
1332
+ "loss": 0.8747,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 1.2505494505494505,
1337
+ "grad_norm": 0.45110413432121277,
1338
+ "learning_rate": 0.00011840354767184036,
1339
+ "loss": 0.9518,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 1.2571428571428571,
1344
+ "grad_norm": 0.43953660130500793,
1345
+ "learning_rate": 0.00011796008869179602,
1346
+ "loss": 0.9383,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 1.2637362637362637,
1351
+ "grad_norm": 0.4431529641151428,
1352
+ "learning_rate": 0.00011751662971175166,
1353
+ "loss": 1.0843,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 1.2703296703296703,
1358
+ "grad_norm": 0.338666170835495,
1359
+ "learning_rate": 0.00011707317073170732,
1360
+ "loss": 0.8364,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 1.2769230769230768,
1365
+ "grad_norm": 0.5064515471458435,
1366
+ "learning_rate": 0.00011662971175166298,
1367
+ "loss": 0.9109,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 1.2835164835164834,
1372
+ "grad_norm": 0.5146324038505554,
1373
+ "learning_rate": 0.00011618625277161863,
1374
+ "loss": 0.8605,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 1.2901098901098902,
1379
+ "grad_norm": 0.39591801166534424,
1380
+ "learning_rate": 0.00011574279379157429,
1381
+ "loss": 0.8311,
1382
+ "step": 196
1383
+ },
1384
+ {
1385
+ "epoch": 1.2967032967032968,
1386
+ "grad_norm": 0.4760957658290863,
1387
+ "learning_rate": 0.00011529933481152995,
1388
+ "loss": 0.836,
1389
+ "step": 197
1390
+ },
1391
+ {
1392
+ "epoch": 1.3032967032967033,
1393
+ "grad_norm": 0.4155326187610626,
1394
+ "learning_rate": 0.00011485587583148558,
1395
+ "loss": 0.9754,
1396
+ "step": 198
1397
+ },
1398
+ {
1399
+ "epoch": 1.30989010989011,
1400
+ "grad_norm": 0.3706800937652588,
1401
+ "learning_rate": 0.00011441241685144124,
1402
+ "loss": 0.8262,
1403
+ "step": 199
1404
+ },
1405
+ {
1406
+ "epoch": 1.3164835164835165,
1407
+ "grad_norm": 0.5003494024276733,
1408
+ "learning_rate": 0.0001139689578713969,
1409
+ "loss": 0.9874,
1410
+ "step": 200
1411
+ },
1412
+ {
1413
+ "epoch": 1.323076923076923,
1414
+ "grad_norm": 0.4487065076828003,
1415
+ "learning_rate": 0.00011352549889135255,
1416
+ "loss": 0.8001,
1417
+ "step": 201
1418
+ },
1419
+ {
1420
+ "epoch": 1.3296703296703296,
1421
+ "grad_norm": 0.38692301511764526,
1422
+ "learning_rate": 0.00011308203991130821,
1423
+ "loss": 0.8486,
1424
+ "step": 202
1425
+ },
1426
+ {
1427
+ "epoch": 1.3362637362637364,
1428
+ "grad_norm": 0.5101066827774048,
1429
+ "learning_rate": 0.00011263858093126387,
1430
+ "loss": 0.9071,
1431
+ "step": 203
1432
+ },
1433
+ {
1434
+ "epoch": 1.342857142857143,
1435
+ "grad_norm": 0.4823839068412781,
1436
+ "learning_rate": 0.00011219512195121953,
1437
+ "loss": 0.8257,
1438
+ "step": 204
1439
+ },
1440
+ {
1441
+ "epoch": 1.3494505494505495,
1442
+ "grad_norm": 0.38172978162765503,
1443
+ "learning_rate": 0.00011175166297117516,
1444
+ "loss": 0.7807,
1445
+ "step": 205
1446
+ },
1447
+ {
1448
+ "epoch": 1.3560439560439561,
1449
+ "grad_norm": 0.432370662689209,
1450
+ "learning_rate": 0.00011130820399113082,
1451
+ "loss": 0.788,
1452
+ "step": 206
1453
+ },
1454
+ {
1455
+ "epoch": 1.3626373626373627,
1456
+ "grad_norm": 0.420469731092453,
1457
+ "learning_rate": 0.00011086474501108647,
1458
+ "loss": 0.7141,
1459
+ "step": 207
1460
+ },
1461
+ {
1462
+ "epoch": 1.3692307692307693,
1463
+ "grad_norm": 0.5178762078285217,
1464
+ "learning_rate": 0.00011042128603104213,
1465
+ "loss": 0.9078,
1466
+ "step": 208
1467
+ },
1468
+ {
1469
+ "epoch": 1.3758241758241758,
1470
+ "grad_norm": 0.4729172885417938,
1471
+ "learning_rate": 0.00010997782705099779,
1472
+ "loss": 0.8345,
1473
+ "step": 209
1474
+ },
1475
+ {
1476
+ "epoch": 1.3824175824175824,
1477
+ "grad_norm": 0.4455544352531433,
1478
+ "learning_rate": 0.00010953436807095345,
1479
+ "loss": 0.7944,
1480
+ "step": 210
1481
+ },
1482
+ {
1483
+ "epoch": 1.389010989010989,
1484
+ "grad_norm": 0.4522795081138611,
1485
+ "learning_rate": 0.00010909090909090909,
1486
+ "loss": 0.8394,
1487
+ "step": 211
1488
+ },
1489
+ {
1490
+ "epoch": 1.3956043956043955,
1491
+ "grad_norm": 0.4482082426548004,
1492
+ "learning_rate": 0.00010864745011086475,
1493
+ "loss": 0.6586,
1494
+ "step": 212
1495
+ },
1496
+ {
1497
+ "epoch": 1.402197802197802,
1498
+ "grad_norm": 0.4409103989601135,
1499
+ "learning_rate": 0.00010820399113082041,
1500
+ "loss": 0.8638,
1501
+ "step": 213
1502
+ },
1503
+ {
1504
+ "epoch": 1.4087912087912087,
1505
+ "grad_norm": 0.4539140462875366,
1506
+ "learning_rate": 0.00010776053215077607,
1507
+ "loss": 0.7618,
1508
+ "step": 214
1509
+ },
1510
+ {
1511
+ "epoch": 1.4153846153846155,
1512
+ "grad_norm": 0.538474977016449,
1513
+ "learning_rate": 0.00010731707317073172,
1514
+ "loss": 0.8472,
1515
+ "step": 215
1516
+ },
1517
+ {
1518
+ "epoch": 1.421978021978022,
1519
+ "grad_norm": 0.5380995869636536,
1520
+ "learning_rate": 0.00010687361419068738,
1521
+ "loss": 0.9159,
1522
+ "step": 216
1523
+ },
1524
+ {
1525
+ "epoch": 1.4285714285714286,
1526
+ "grad_norm": 0.5771273970603943,
1527
+ "learning_rate": 0.00010643015521064301,
1528
+ "loss": 0.9357,
1529
+ "step": 217
1530
+ },
1531
+ {
1532
+ "epoch": 1.4351648351648352,
1533
+ "grad_norm": 0.45590829849243164,
1534
+ "learning_rate": 0.00010598669623059867,
1535
+ "loss": 0.8389,
1536
+ "step": 218
1537
+ },
1538
+ {
1539
+ "epoch": 1.4417582417582417,
1540
+ "grad_norm": 0.5439815521240234,
1541
+ "learning_rate": 0.00010554323725055433,
1542
+ "loss": 0.8163,
1543
+ "step": 219
1544
+ },
1545
+ {
1546
+ "epoch": 1.4483516483516483,
1547
+ "grad_norm": 0.602954089641571,
1548
+ "learning_rate": 0.00010509977827050999,
1549
+ "loss": 1.0706,
1550
+ "step": 220
1551
+ },
1552
+ {
1553
+ "epoch": 1.4549450549450549,
1554
+ "grad_norm": 0.5096477270126343,
1555
+ "learning_rate": 0.00010465631929046564,
1556
+ "loss": 0.7684,
1557
+ "step": 221
1558
+ },
1559
+ {
1560
+ "epoch": 1.4615384615384617,
1561
+ "grad_norm": 0.570733904838562,
1562
+ "learning_rate": 0.0001042128603104213,
1563
+ "loss": 0.8946,
1564
+ "step": 222
1565
+ },
1566
+ {
1567
+ "epoch": 1.4681318681318682,
1568
+ "grad_norm": 0.4611380994319916,
1569
+ "learning_rate": 0.00010376940133037693,
1570
+ "loss": 0.7623,
1571
+ "step": 223
1572
+ },
1573
+ {
1574
+ "epoch": 1.4747252747252748,
1575
+ "grad_norm": 0.4956399202346802,
1576
+ "learning_rate": 0.00010332594235033259,
1577
+ "loss": 0.8614,
1578
+ "step": 224
1579
+ },
1580
+ {
1581
+ "epoch": 1.4813186813186814,
1582
+ "grad_norm": 0.47977501153945923,
1583
+ "learning_rate": 0.00010288248337028825,
1584
+ "loss": 0.7984,
1585
+ "step": 225
1586
+ },
1587
+ {
1588
+ "epoch": 1.487912087912088,
1589
+ "grad_norm": 0.5366384387016296,
1590
+ "learning_rate": 0.0001024390243902439,
1591
+ "loss": 0.8089,
1592
+ "step": 226
1593
+ },
1594
+ {
1595
+ "epoch": 1.4945054945054945,
1596
+ "grad_norm": 0.47202619910240173,
1597
+ "learning_rate": 0.00010199556541019956,
1598
+ "loss": 0.9272,
1599
+ "step": 227
1600
+ },
1601
+ {
1602
+ "epoch": 1.501098901098901,
1603
+ "grad_norm": 0.48930907249450684,
1604
+ "learning_rate": 0.00010155210643015522,
1605
+ "loss": 0.8406,
1606
+ "step": 228
1607
+ },
1608
+ {
1609
+ "epoch": 1.5076923076923077,
1610
+ "grad_norm": 0.5409417748451233,
1611
+ "learning_rate": 0.00010110864745011087,
1612
+ "loss": 1.0305,
1613
+ "step": 229
1614
+ },
1615
+ {
1616
+ "epoch": 1.5142857142857142,
1617
+ "grad_norm": 0.43893152475357056,
1618
+ "learning_rate": 0.00010066518847006652,
1619
+ "loss": 0.7842,
1620
+ "step": 230
1621
+ },
1622
+ {
1623
+ "epoch": 1.5208791208791208,
1624
+ "grad_norm": 0.46009576320648193,
1625
+ "learning_rate": 0.00010022172949002218,
1626
+ "loss": 0.6103,
1627
+ "step": 231
1628
+ },
1629
+ {
1630
+ "epoch": 1.5274725274725274,
1631
+ "grad_norm": 0.5462482571601868,
1632
+ "learning_rate": 9.977827050997783e-05,
1633
+ "loss": 0.8463,
1634
+ "step": 232
1635
+ },
1636
+ {
1637
+ "epoch": 1.534065934065934,
1638
+ "grad_norm": 0.5006566047668457,
1639
+ "learning_rate": 9.933481152993348e-05,
1640
+ "loss": 0.857,
1641
+ "step": 233
1642
+ },
1643
+ {
1644
+ "epoch": 1.5406593406593405,
1645
+ "grad_norm": 0.5678414702415466,
1646
+ "learning_rate": 9.889135254988914e-05,
1647
+ "loss": 0.9244,
1648
+ "step": 234
1649
+ },
1650
+ {
1651
+ "epoch": 1.5472527472527473,
1652
+ "grad_norm": 0.5183091163635254,
1653
+ "learning_rate": 9.84478935698448e-05,
1654
+ "loss": 0.814,
1655
+ "step": 235
1656
+ },
1657
+ {
1658
+ "epoch": 1.5538461538461539,
1659
+ "grad_norm": 0.41302505135536194,
1660
+ "learning_rate": 9.800443458980046e-05,
1661
+ "loss": 0.739,
1662
+ "step": 236
1663
+ },
1664
+ {
1665
+ "epoch": 1.5604395604395604,
1666
+ "grad_norm": 0.5402347445487976,
1667
+ "learning_rate": 9.75609756097561e-05,
1668
+ "loss": 0.9331,
1669
+ "step": 237
1670
+ },
1671
+ {
1672
+ "epoch": 1.567032967032967,
1673
+ "grad_norm": 0.4913271963596344,
1674
+ "learning_rate": 9.711751662971176e-05,
1675
+ "loss": 0.9823,
1676
+ "step": 238
1677
+ },
1678
+ {
1679
+ "epoch": 1.5736263736263736,
1680
+ "grad_norm": 0.4734552502632141,
1681
+ "learning_rate": 9.667405764966742e-05,
1682
+ "loss": 0.7932,
1683
+ "step": 239
1684
+ },
1685
+ {
1686
+ "epoch": 1.5802197802197804,
1687
+ "grad_norm": 0.5224055647850037,
1688
+ "learning_rate": 9.623059866962306e-05,
1689
+ "loss": 1.0228,
1690
+ "step": 240
1691
+ },
1692
+ {
1693
+ "epoch": 1.586813186813187,
1694
+ "grad_norm": 0.5478543639183044,
1695
+ "learning_rate": 9.578713968957872e-05,
1696
+ "loss": 0.9807,
1697
+ "step": 241
1698
+ },
1699
+ {
1700
+ "epoch": 1.5934065934065935,
1701
+ "grad_norm": 0.4561575949192047,
1702
+ "learning_rate": 9.534368070953438e-05,
1703
+ "loss": 0.6793,
1704
+ "step": 242
1705
+ },
1706
+ {
1707
+ "epoch": 1.6,
1708
+ "grad_norm": 0.43943655490875244,
1709
+ "learning_rate": 9.490022172949002e-05,
1710
+ "loss": 0.6919,
1711
+ "step": 243
1712
+ },
1713
+ {
1714
+ "epoch": 1.6065934065934067,
1715
+ "grad_norm": 0.5001429319381714,
1716
+ "learning_rate": 9.445676274944568e-05,
1717
+ "loss": 0.7689,
1718
+ "step": 244
1719
+ },
1720
+ {
1721
+ "epoch": 1.6131868131868132,
1722
+ "grad_norm": 0.5150021910667419,
1723
+ "learning_rate": 9.401330376940134e-05,
1724
+ "loss": 0.7762,
1725
+ "step": 245
1726
+ },
1727
+ {
1728
+ "epoch": 1.6197802197802198,
1729
+ "grad_norm": 0.4795988202095032,
1730
+ "learning_rate": 9.356984478935698e-05,
1731
+ "loss": 0.8051,
1732
+ "step": 246
1733
+ },
1734
+ {
1735
+ "epoch": 1.6263736263736264,
1736
+ "grad_norm": 0.5289055109024048,
1737
+ "learning_rate": 9.312638580931264e-05,
1738
+ "loss": 0.9534,
1739
+ "step": 247
1740
+ },
1741
+ {
1742
+ "epoch": 1.632967032967033,
1743
+ "grad_norm": 0.5961309671401978,
1744
+ "learning_rate": 9.26829268292683e-05,
1745
+ "loss": 0.9041,
1746
+ "step": 248
1747
+ },
1748
+ {
1749
+ "epoch": 1.6395604395604395,
1750
+ "grad_norm": 0.5156664848327637,
1751
+ "learning_rate": 9.223946784922394e-05,
1752
+ "loss": 0.9927,
1753
+ "step": 249
1754
+ },
1755
+ {
1756
+ "epoch": 1.646153846153846,
1757
+ "grad_norm": 0.4966232180595398,
1758
+ "learning_rate": 9.17960088691796e-05,
1759
+ "loss": 0.9447,
1760
+ "step": 250
1761
+ },
1762
+ {
1763
+ "epoch": 1.6527472527472526,
1764
+ "grad_norm": 0.5069417953491211,
1765
+ "learning_rate": 9.135254988913526e-05,
1766
+ "loss": 0.8577,
1767
+ "step": 251
1768
+ },
1769
+ {
1770
+ "epoch": 1.6593406593406592,
1771
+ "grad_norm": 0.5083569884300232,
1772
+ "learning_rate": 9.090909090909092e-05,
1773
+ "loss": 0.9604,
1774
+ "step": 252
1775
+ },
1776
+ {
1777
+ "epoch": 1.6659340659340658,
1778
+ "grad_norm": 0.4884309470653534,
1779
+ "learning_rate": 9.046563192904656e-05,
1780
+ "loss": 0.6828,
1781
+ "step": 253
1782
+ },
1783
+ {
1784
+ "epoch": 1.6725274725274726,
1785
+ "grad_norm": 0.493662565946579,
1786
+ "learning_rate": 9.002217294900222e-05,
1787
+ "loss": 0.7775,
1788
+ "step": 254
1789
+ },
1790
+ {
1791
+ "epoch": 1.6791208791208792,
1792
+ "grad_norm": 0.5201241374015808,
1793
+ "learning_rate": 8.957871396895788e-05,
1794
+ "loss": 0.973,
1795
+ "step": 255
1796
+ },
1797
+ {
1798
+ "epoch": 1.6857142857142857,
1799
+ "grad_norm": 0.4902701675891876,
1800
+ "learning_rate": 8.913525498891354e-05,
1801
+ "loss": 0.7453,
1802
+ "step": 256
1803
+ },
1804
+ {
1805
+ "epoch": 1.6923076923076923,
1806
+ "grad_norm": 0.7000847458839417,
1807
+ "learning_rate": 8.869179600886919e-05,
1808
+ "loss": 0.9973,
1809
+ "step": 257
1810
+ },
1811
+ {
1812
+ "epoch": 1.6989010989010989,
1813
+ "grad_norm": 0.572896420955658,
1814
+ "learning_rate": 8.824833702882484e-05,
1815
+ "loss": 0.9429,
1816
+ "step": 258
1817
+ },
1818
+ {
1819
+ "epoch": 1.7054945054945057,
1820
+ "grad_norm": 0.561058759689331,
1821
+ "learning_rate": 8.78048780487805e-05,
1822
+ "loss": 1.0176,
1823
+ "step": 259
1824
+ },
1825
+ {
1826
+ "epoch": 1.7120879120879122,
1827
+ "grad_norm": 0.5121408700942993,
1828
+ "learning_rate": 8.736141906873615e-05,
1829
+ "loss": 0.7407,
1830
+ "step": 260
1831
+ },
1832
+ {
1833
+ "epoch": 1.7186813186813188,
1834
+ "grad_norm": 0.5502723455429077,
1835
+ "learning_rate": 8.69179600886918e-05,
1836
+ "loss": 0.8722,
1837
+ "step": 261
1838
+ },
1839
+ {
1840
+ "epoch": 1.7252747252747254,
1841
+ "grad_norm": 0.5121498703956604,
1842
+ "learning_rate": 8.647450110864746e-05,
1843
+ "loss": 0.9213,
1844
+ "step": 262
1845
+ },
1846
+ {
1847
+ "epoch": 1.731868131868132,
1848
+ "grad_norm": 0.4571462869644165,
1849
+ "learning_rate": 8.603104212860311e-05,
1850
+ "loss": 0.7,
1851
+ "step": 263
1852
+ },
1853
+ {
1854
+ "epoch": 1.7384615384615385,
1855
+ "grad_norm": 0.5703877806663513,
1856
+ "learning_rate": 8.558758314855876e-05,
1857
+ "loss": 0.8466,
1858
+ "step": 264
1859
+ },
1860
+ {
1861
+ "epoch": 1.745054945054945,
1862
+ "grad_norm": 0.5442690253257751,
1863
+ "learning_rate": 8.514412416851442e-05,
1864
+ "loss": 0.6839,
1865
+ "step": 265
1866
+ },
1867
+ {
1868
+ "epoch": 1.7516483516483516,
1869
+ "grad_norm": 0.56926429271698,
1870
+ "learning_rate": 8.470066518847007e-05,
1871
+ "loss": 1.0205,
1872
+ "step": 266
1873
+ },
1874
+ {
1875
+ "epoch": 1.7582417582417582,
1876
+ "grad_norm": 0.5426958799362183,
1877
+ "learning_rate": 8.425720620842572e-05,
1878
+ "loss": 0.6528,
1879
+ "step": 267
1880
+ },
1881
+ {
1882
+ "epoch": 1.7648351648351648,
1883
+ "grad_norm": 0.6180535554885864,
1884
+ "learning_rate": 8.381374722838138e-05,
1885
+ "loss": 0.8412,
1886
+ "step": 268
1887
+ },
1888
+ {
1889
+ "epoch": 1.7714285714285714,
1890
+ "grad_norm": 0.6664066910743713,
1891
+ "learning_rate": 8.337028824833703e-05,
1892
+ "loss": 0.8329,
1893
+ "step": 269
1894
+ },
1895
+ {
1896
+ "epoch": 1.778021978021978,
1897
+ "grad_norm": 0.5359776020050049,
1898
+ "learning_rate": 8.292682926829268e-05,
1899
+ "loss": 0.9421,
1900
+ "step": 270
1901
+ },
1902
+ {
1903
+ "epoch": 1.7846153846153845,
1904
+ "grad_norm": 0.5313830971717834,
1905
+ "learning_rate": 8.248337028824834e-05,
1906
+ "loss": 0.7066,
1907
+ "step": 271
1908
+ },
1909
+ {
1910
+ "epoch": 1.791208791208791,
1911
+ "grad_norm": 0.503743052482605,
1912
+ "learning_rate": 8.2039911308204e-05,
1913
+ "loss": 0.9682,
1914
+ "step": 272
1915
+ },
1916
+ {
1917
+ "epoch": 1.7978021978021979,
1918
+ "grad_norm": 0.5591855049133301,
1919
+ "learning_rate": 8.159645232815965e-05,
1920
+ "loss": 0.8621,
1921
+ "step": 273
1922
+ },
1923
+ {
1924
+ "epoch": 1.8043956043956044,
1925
+ "grad_norm": 0.5927342772483826,
1926
+ "learning_rate": 8.11529933481153e-05,
1927
+ "loss": 0.8845,
1928
+ "step": 274
1929
+ },
1930
+ {
1931
+ "epoch": 1.810989010989011,
1932
+ "grad_norm": 0.5871875882148743,
1933
+ "learning_rate": 8.070953436807095e-05,
1934
+ "loss": 0.9288,
1935
+ "step": 275
1936
+ },
1937
+ {
1938
+ "epoch": 1.8175824175824176,
1939
+ "grad_norm": 0.4816722571849823,
1940
+ "learning_rate": 8.026607538802661e-05,
1941
+ "loss": 0.7302,
1942
+ "step": 276
1943
+ },
1944
+ {
1945
+ "epoch": 1.8241758241758241,
1946
+ "grad_norm": 0.5300981998443604,
1947
+ "learning_rate": 7.982261640798227e-05,
1948
+ "loss": 0.8035,
1949
+ "step": 277
1950
+ },
1951
+ {
1952
+ "epoch": 1.830769230769231,
1953
+ "grad_norm": 0.5308715105056763,
1954
+ "learning_rate": 7.937915742793793e-05,
1955
+ "loss": 0.7536,
1956
+ "step": 278
1957
+ },
1958
+ {
1959
+ "epoch": 1.8373626373626375,
1960
+ "grad_norm": 0.538088858127594,
1961
+ "learning_rate": 7.893569844789357e-05,
1962
+ "loss": 0.8246,
1963
+ "step": 279
1964
+ },
1965
+ {
1966
+ "epoch": 1.843956043956044,
1967
+ "grad_norm": 0.5808150172233582,
1968
+ "learning_rate": 7.849223946784923e-05,
1969
+ "loss": 0.9631,
1970
+ "step": 280
1971
+ },
1972
+ {
1973
+ "epoch": 1.8505494505494506,
1974
+ "grad_norm": 0.5283225178718567,
1975
+ "learning_rate": 7.804878048780489e-05,
1976
+ "loss": 0.7806,
1977
+ "step": 281
1978
+ },
1979
+ {
1980
+ "epoch": 1.8571428571428572,
1981
+ "grad_norm": 0.43234360218048096,
1982
+ "learning_rate": 7.760532150776053e-05,
1983
+ "loss": 0.7491,
1984
+ "step": 282
1985
+ },
1986
+ {
1987
+ "epoch": 1.8637362637362638,
1988
+ "grad_norm": 0.5764623880386353,
1989
+ "learning_rate": 7.716186252771619e-05,
1990
+ "loss": 0.8128,
1991
+ "step": 283
1992
+ },
1993
+ {
1994
+ "epoch": 1.8703296703296703,
1995
+ "grad_norm": 0.5183278918266296,
1996
+ "learning_rate": 7.671840354767185e-05,
1997
+ "loss": 0.6958,
1998
+ "step": 284
1999
+ },
2000
+ {
2001
+ "epoch": 1.876923076923077,
2002
+ "grad_norm": 0.5421848297119141,
2003
+ "learning_rate": 7.627494456762749e-05,
2004
+ "loss": 0.8658,
2005
+ "step": 285
2006
+ },
2007
+ {
2008
+ "epoch": 1.8835164835164835,
2009
+ "grad_norm": 0.5530264973640442,
2010
+ "learning_rate": 7.583148558758315e-05,
2011
+ "loss": 0.807,
2012
+ "step": 286
2013
+ },
2014
+ {
2015
+ "epoch": 1.89010989010989,
2016
+ "grad_norm": 0.5575171709060669,
2017
+ "learning_rate": 7.538802660753881e-05,
2018
+ "loss": 0.864,
2019
+ "step": 287
2020
+ },
2021
+ {
2022
+ "epoch": 1.8967032967032966,
2023
+ "grad_norm": 0.45418375730514526,
2024
+ "learning_rate": 7.494456762749445e-05,
2025
+ "loss": 0.7912,
2026
+ "step": 288
2027
+ },
2028
+ {
2029
+ "epoch": 1.9032967032967032,
2030
+ "grad_norm": 0.5195934176445007,
2031
+ "learning_rate": 7.450110864745011e-05,
2032
+ "loss": 0.7601,
2033
+ "step": 289
2034
+ },
2035
+ {
2036
+ "epoch": 1.9098901098901098,
2037
+ "grad_norm": 0.526201069355011,
2038
+ "learning_rate": 7.405764966740577e-05,
2039
+ "loss": 0.7973,
2040
+ "step": 290
2041
+ },
2042
+ {
2043
+ "epoch": 1.9164835164835163,
2044
+ "grad_norm": 0.5117388963699341,
2045
+ "learning_rate": 7.361419068736141e-05,
2046
+ "loss": 0.6847,
2047
+ "step": 291
2048
+ },
2049
+ {
2050
+ "epoch": 1.9230769230769231,
2051
+ "grad_norm": 0.5242432355880737,
2052
+ "learning_rate": 7.317073170731707e-05,
2053
+ "loss": 0.7498,
2054
+ "step": 292
2055
+ },
2056
+ {
2057
+ "epoch": 1.9296703296703297,
2058
+ "grad_norm": 0.620801568031311,
2059
+ "learning_rate": 7.272727272727273e-05,
2060
+ "loss": 1.0201,
2061
+ "step": 293
2062
+ },
2063
+ {
2064
+ "epoch": 1.9362637362637363,
2065
+ "grad_norm": 0.5436952710151672,
2066
+ "learning_rate": 7.228381374722837e-05,
2067
+ "loss": 0.7587,
2068
+ "step": 294
2069
+ },
2070
+ {
2071
+ "epoch": 1.9428571428571428,
2072
+ "grad_norm": 0.5160356163978577,
2073
+ "learning_rate": 7.184035476718403e-05,
2074
+ "loss": 0.6658,
2075
+ "step": 295
2076
+ },
2077
+ {
2078
+ "epoch": 1.9494505494505494,
2079
+ "grad_norm": 0.6170647144317627,
2080
+ "learning_rate": 7.139689578713969e-05,
2081
+ "loss": 0.8197,
2082
+ "step": 296
2083
+ },
2084
+ {
2085
+ "epoch": 1.9560439560439562,
2086
+ "grad_norm": 0.5294138789176941,
2087
+ "learning_rate": 7.095343680709535e-05,
2088
+ "loss": 0.8264,
2089
+ "step": 297
2090
+ },
2091
+ {
2092
+ "epoch": 1.9626373626373628,
2093
+ "grad_norm": 0.5055113434791565,
2094
+ "learning_rate": 7.0509977827051e-05,
2095
+ "loss": 0.8255,
2096
+ "step": 298
2097
+ },
2098
+ {
2099
+ "epoch": 1.9692307692307693,
2100
+ "grad_norm": 0.51408451795578,
2101
+ "learning_rate": 7.006651884700666e-05,
2102
+ "loss": 0.9478,
2103
+ "step": 299
2104
+ },
2105
+ {
2106
+ "epoch": 1.975824175824176,
2107
+ "grad_norm": 0.726474404335022,
2108
+ "learning_rate": 6.962305986696232e-05,
2109
+ "loss": 0.868,
2110
+ "step": 300
2111
+ },
2112
+ {
2113
+ "epoch": 1.9824175824175825,
2114
+ "grad_norm": 0.6018652319908142,
2115
+ "learning_rate": 6.917960088691796e-05,
2116
+ "loss": 0.8678,
2117
+ "step": 301
2118
+ },
2119
+ {
2120
+ "epoch": 1.989010989010989,
2121
+ "grad_norm": 0.5645736455917358,
2122
+ "learning_rate": 6.873614190687362e-05,
2123
+ "loss": 0.9267,
2124
+ "step": 302
2125
+ },
2126
+ {
2127
+ "epoch": 1.9956043956043956,
2128
+ "grad_norm": 0.5721924304962158,
2129
+ "learning_rate": 6.829268292682928e-05,
2130
+ "loss": 0.9286,
2131
+ "step": 303
2132
+ },
2133
+ {
2134
+ "epoch": 2.0,
2135
+ "grad_norm": 0.9521707892417908,
2136
+ "learning_rate": 6.784922394678492e-05,
2137
+ "loss": 1.0017,
2138
+ "step": 304
2139
+ },
2140
+ {
2141
+ "epoch": 2.0065934065934066,
2142
+ "grad_norm": 0.5080501437187195,
2143
+ "learning_rate": 6.740576496674058e-05,
2144
+ "loss": 0.5844,
2145
+ "step": 305
2146
+ },
2147
+ {
2148
+ "epoch": 2.013186813186813,
2149
+ "grad_norm": 0.5562191605567932,
2150
+ "learning_rate": 6.696230598669624e-05,
2151
+ "loss": 0.7353,
2152
+ "step": 306
2153
+ },
2154
+ {
2155
+ "epoch": 2.0197802197802197,
2156
+ "grad_norm": 0.6108002662658691,
2157
+ "learning_rate": 6.651884700665188e-05,
2158
+ "loss": 0.7662,
2159
+ "step": 307
2160
+ },
2161
+ {
2162
+ "epoch": 2.0263736263736263,
2163
+ "grad_norm": 0.6404972672462463,
2164
+ "learning_rate": 6.607538802660754e-05,
2165
+ "loss": 0.6951,
2166
+ "step": 308
2167
+ },
2168
+ {
2169
+ "epoch": 2.032967032967033,
2170
+ "grad_norm": 0.5950292944908142,
2171
+ "learning_rate": 6.56319290465632e-05,
2172
+ "loss": 0.8436,
2173
+ "step": 309
2174
+ },
2175
+ {
2176
+ "epoch": 2.0395604395604394,
2177
+ "grad_norm": 0.5857701897621155,
2178
+ "learning_rate": 6.518847006651884e-05,
2179
+ "loss": 0.9945,
2180
+ "step": 310
2181
+ },
2182
+ {
2183
+ "epoch": 2.046153846153846,
2184
+ "grad_norm": 0.4862763583660126,
2185
+ "learning_rate": 6.47450110864745e-05,
2186
+ "loss": 0.6349,
2187
+ "step": 311
2188
+ },
2189
+ {
2190
+ "epoch": 2.0527472527472526,
2191
+ "grad_norm": 0.5508712530136108,
2192
+ "learning_rate": 6.430155210643016e-05,
2193
+ "loss": 0.6629,
2194
+ "step": 312
2195
+ },
2196
+ {
2197
+ "epoch": 2.059340659340659,
2198
+ "grad_norm": 0.6336526870727539,
2199
+ "learning_rate": 6.38580931263858e-05,
2200
+ "loss": 0.8338,
2201
+ "step": 313
2202
+ },
2203
+ {
2204
+ "epoch": 2.065934065934066,
2205
+ "grad_norm": 0.5567284226417542,
2206
+ "learning_rate": 6.341463414634146e-05,
2207
+ "loss": 0.6402,
2208
+ "step": 314
2209
+ },
2210
+ {
2211
+ "epoch": 2.0725274725274727,
2212
+ "grad_norm": 0.5753811597824097,
2213
+ "learning_rate": 6.297117516629712e-05,
2214
+ "loss": 0.7471,
2215
+ "step": 315
2216
+ },
2217
+ {
2218
+ "epoch": 2.0791208791208793,
2219
+ "grad_norm": 0.6722463369369507,
2220
+ "learning_rate": 6.252771618625277e-05,
2221
+ "loss": 0.805,
2222
+ "step": 316
2223
+ },
2224
+ {
2225
+ "epoch": 2.085714285714286,
2226
+ "grad_norm": 0.6304366588592529,
2227
+ "learning_rate": 6.208425720620842e-05,
2228
+ "loss": 0.7077,
2229
+ "step": 317
2230
+ },
2231
+ {
2232
+ "epoch": 2.0923076923076924,
2233
+ "grad_norm": 0.5530065894126892,
2234
+ "learning_rate": 6.164079822616408e-05,
2235
+ "loss": 0.755,
2236
+ "step": 318
2237
+ },
2238
+ {
2239
+ "epoch": 2.098901098901099,
2240
+ "grad_norm": 0.6075183749198914,
2241
+ "learning_rate": 6.119733924611974e-05,
2242
+ "loss": 0.7062,
2243
+ "step": 319
2244
+ },
2245
+ {
2246
+ "epoch": 2.1054945054945056,
2247
+ "grad_norm": 0.5700207352638245,
2248
+ "learning_rate": 6.075388026607539e-05,
2249
+ "loss": 0.8415,
2250
+ "step": 320
2251
+ },
2252
+ {
2253
+ "epoch": 2.112087912087912,
2254
+ "grad_norm": 0.5903488397598267,
2255
+ "learning_rate": 6.031042128603105e-05,
2256
+ "loss": 0.7171,
2257
+ "step": 321
2258
+ },
2259
+ {
2260
+ "epoch": 2.1186813186813187,
2261
+ "grad_norm": 0.6823955774307251,
2262
+ "learning_rate": 5.98669623059867e-05,
2263
+ "loss": 0.8024,
2264
+ "step": 322
2265
+ },
2266
+ {
2267
+ "epoch": 2.1252747252747253,
2268
+ "grad_norm": 0.590376079082489,
2269
+ "learning_rate": 5.942350332594236e-05,
2270
+ "loss": 0.7671,
2271
+ "step": 323
2272
+ },
2273
+ {
2274
+ "epoch": 2.131868131868132,
2275
+ "grad_norm": 0.6151862740516663,
2276
+ "learning_rate": 5.898004434589801e-05,
2277
+ "loss": 0.5782,
2278
+ "step": 324
2279
+ },
2280
+ {
2281
+ "epoch": 2.1384615384615384,
2282
+ "grad_norm": 0.5370686650276184,
2283
+ "learning_rate": 5.853658536585366e-05,
2284
+ "loss": 0.5983,
2285
+ "step": 325
2286
+ },
2287
+ {
2288
+ "epoch": 2.145054945054945,
2289
+ "grad_norm": 0.6067591309547424,
2290
+ "learning_rate": 5.809312638580932e-05,
2291
+ "loss": 0.8142,
2292
+ "step": 326
2293
+ },
2294
+ {
2295
+ "epoch": 2.1516483516483516,
2296
+ "grad_norm": 0.6914520263671875,
2297
+ "learning_rate": 5.7649667405764975e-05,
2298
+ "loss": 0.7526,
2299
+ "step": 327
2300
+ },
2301
+ {
2302
+ "epoch": 2.158241758241758,
2303
+ "grad_norm": 0.7216525673866272,
2304
+ "learning_rate": 5.720620842572062e-05,
2305
+ "loss": 0.8612,
2306
+ "step": 328
2307
+ },
2308
+ {
2309
+ "epoch": 2.1648351648351647,
2310
+ "grad_norm": 0.7188699841499329,
2311
+ "learning_rate": 5.676274944567628e-05,
2312
+ "loss": 0.8917,
2313
+ "step": 329
2314
+ },
2315
+ {
2316
+ "epoch": 2.1714285714285713,
2317
+ "grad_norm": 0.7169713377952576,
2318
+ "learning_rate": 5.6319290465631935e-05,
2319
+ "loss": 0.7069,
2320
+ "step": 330
2321
+ },
2322
+ {
2323
+ "epoch": 2.178021978021978,
2324
+ "grad_norm": 0.5513160228729248,
2325
+ "learning_rate": 5.587583148558758e-05,
2326
+ "loss": 0.6421,
2327
+ "step": 331
2328
+ },
2329
+ {
2330
+ "epoch": 2.184615384615385,
2331
+ "grad_norm": 0.5431884527206421,
2332
+ "learning_rate": 5.543237250554324e-05,
2333
+ "loss": 0.6776,
2334
+ "step": 332
2335
+ },
2336
+ {
2337
+ "epoch": 2.1912087912087914,
2338
+ "grad_norm": 0.6243288516998291,
2339
+ "learning_rate": 5.4988913525498895e-05,
2340
+ "loss": 0.6749,
2341
+ "step": 333
2342
+ },
2343
+ {
2344
+ "epoch": 2.197802197802198,
2345
+ "grad_norm": 0.7112690210342407,
2346
+ "learning_rate": 5.4545454545454546e-05,
2347
+ "loss": 0.6938,
2348
+ "step": 334
2349
+ },
2350
+ {
2351
+ "epoch": 2.2043956043956046,
2352
+ "grad_norm": 0.6238105893135071,
2353
+ "learning_rate": 5.4101995565410204e-05,
2354
+ "loss": 0.5502,
2355
+ "step": 335
2356
+ },
2357
+ {
2358
+ "epoch": 2.210989010989011,
2359
+ "grad_norm": 0.6335462927818298,
2360
+ "learning_rate": 5.365853658536586e-05,
2361
+ "loss": 0.6563,
2362
+ "step": 336
2363
+ },
2364
+ {
2365
+ "epoch": 2.2175824175824177,
2366
+ "grad_norm": 0.6057775020599365,
2367
+ "learning_rate": 5.3215077605321506e-05,
2368
+ "loss": 0.6975,
2369
+ "step": 337
2370
+ },
2371
+ {
2372
+ "epoch": 2.2241758241758243,
2373
+ "grad_norm": 0.6290048360824585,
2374
+ "learning_rate": 5.2771618625277164e-05,
2375
+ "loss": 0.745,
2376
+ "step": 338
2377
+ },
2378
+ {
2379
+ "epoch": 2.230769230769231,
2380
+ "grad_norm": 0.5167511701583862,
2381
+ "learning_rate": 5.232815964523282e-05,
2382
+ "loss": 0.6588,
2383
+ "step": 339
2384
+ },
2385
+ {
2386
+ "epoch": 2.2373626373626374,
2387
+ "grad_norm": 0.6949765682220459,
2388
+ "learning_rate": 5.1884700665188466e-05,
2389
+ "loss": 0.7472,
2390
+ "step": 340
2391
+ },
2392
+ {
2393
+ "epoch": 2.243956043956044,
2394
+ "grad_norm": 0.7215961217880249,
2395
+ "learning_rate": 5.1441241685144124e-05,
2396
+ "loss": 0.6612,
2397
+ "step": 341
2398
+ },
2399
+ {
2400
+ "epoch": 2.2505494505494505,
2401
+ "grad_norm": 0.510892927646637,
2402
+ "learning_rate": 5.099778270509978e-05,
2403
+ "loss": 0.6527,
2404
+ "step": 342
2405
+ },
2406
+ {
2407
+ "epoch": 2.257142857142857,
2408
+ "grad_norm": 0.731456995010376,
2409
+ "learning_rate": 5.0554323725055433e-05,
2410
+ "loss": 0.7226,
2411
+ "step": 343
2412
+ },
2413
+ {
2414
+ "epoch": 2.2637362637362637,
2415
+ "grad_norm": 0.6512704491615295,
2416
+ "learning_rate": 5.011086474501109e-05,
2417
+ "loss": 0.6743,
2418
+ "step": 344
2419
+ },
2420
+ {
2421
+ "epoch": 2.2703296703296703,
2422
+ "grad_norm": 0.651498556137085,
2423
+ "learning_rate": 4.966740576496674e-05,
2424
+ "loss": 0.7466,
2425
+ "step": 345
2426
+ },
2427
+ {
2428
+ "epoch": 2.276923076923077,
2429
+ "grad_norm": 0.5663884282112122,
2430
+ "learning_rate": 4.92239467849224e-05,
2431
+ "loss": 0.5927,
2432
+ "step": 346
2433
+ },
2434
+ {
2435
+ "epoch": 2.2835164835164834,
2436
+ "grad_norm": 0.674555778503418,
2437
+ "learning_rate": 4.878048780487805e-05,
2438
+ "loss": 0.8744,
2439
+ "step": 347
2440
+ },
2441
+ {
2442
+ "epoch": 2.29010989010989,
2443
+ "grad_norm": 0.7060825228691101,
2444
+ "learning_rate": 4.833702882483371e-05,
2445
+ "loss": 0.6693,
2446
+ "step": 348
2447
+ },
2448
+ {
2449
+ "epoch": 2.2967032967032965,
2450
+ "grad_norm": 0.7182577252388,
2451
+ "learning_rate": 4.789356984478936e-05,
2452
+ "loss": 0.5812,
2453
+ "step": 349
2454
+ },
2455
+ {
2456
+ "epoch": 2.303296703296703,
2457
+ "grad_norm": 0.6156234741210938,
2458
+ "learning_rate": 4.745011086474501e-05,
2459
+ "loss": 0.7247,
2460
+ "step": 350
2461
+ },
2462
+ {
2463
+ "epoch": 2.3098901098901097,
2464
+ "grad_norm": 0.6124761700630188,
2465
+ "learning_rate": 4.700665188470067e-05,
2466
+ "loss": 0.5423,
2467
+ "step": 351
2468
+ },
2469
+ {
2470
+ "epoch": 2.3164835164835162,
2471
+ "grad_norm": 0.6417215466499329,
2472
+ "learning_rate": 4.656319290465632e-05,
2473
+ "loss": 0.8036,
2474
+ "step": 352
2475
+ },
2476
+ {
2477
+ "epoch": 2.3230769230769233,
2478
+ "grad_norm": 0.7024691700935364,
2479
+ "learning_rate": 4.611973392461197e-05,
2480
+ "loss": 0.7742,
2481
+ "step": 353
2482
+ },
2483
+ {
2484
+ "epoch": 2.32967032967033,
2485
+ "grad_norm": 0.7200444936752319,
2486
+ "learning_rate": 4.567627494456763e-05,
2487
+ "loss": 0.7953,
2488
+ "step": 354
2489
+ },
2490
+ {
2491
+ "epoch": 2.3362637362637364,
2492
+ "grad_norm": 0.6519104838371277,
2493
+ "learning_rate": 4.523281596452328e-05,
2494
+ "loss": 0.8102,
2495
+ "step": 355
2496
+ },
2497
+ {
2498
+ "epoch": 2.342857142857143,
2499
+ "grad_norm": 0.7219530344009399,
2500
+ "learning_rate": 4.478935698447894e-05,
2501
+ "loss": 0.7355,
2502
+ "step": 356
2503
+ },
2504
+ {
2505
+ "epoch": 2.3494505494505495,
2506
+ "grad_norm": 0.7919983863830566,
2507
+ "learning_rate": 4.4345898004434597e-05,
2508
+ "loss": 0.8659,
2509
+ "step": 357
2510
+ },
2511
+ {
2512
+ "epoch": 2.356043956043956,
2513
+ "grad_norm": 0.756294846534729,
2514
+ "learning_rate": 4.390243902439025e-05,
2515
+ "loss": 0.7903,
2516
+ "step": 358
2517
+ },
2518
+ {
2519
+ "epoch": 2.3626373626373627,
2520
+ "grad_norm": 0.7363466024398804,
2521
+ "learning_rate": 4.34589800443459e-05,
2522
+ "loss": 0.6673,
2523
+ "step": 359
2524
+ },
2525
+ {
2526
+ "epoch": 2.3692307692307693,
2527
+ "grad_norm": 0.4577414095401764,
2528
+ "learning_rate": 4.301552106430156e-05,
2529
+ "loss": 0.4714,
2530
+ "step": 360
2531
+ },
2532
+ {
2533
+ "epoch": 2.375824175824176,
2534
+ "grad_norm": 0.6378329992294312,
2535
+ "learning_rate": 4.257206208425721e-05,
2536
+ "loss": 0.5701,
2537
+ "step": 361
2538
+ },
2539
+ {
2540
+ "epoch": 2.3824175824175824,
2541
+ "grad_norm": 0.7127747535705566,
2542
+ "learning_rate": 4.212860310421286e-05,
2543
+ "loss": 0.6576,
2544
+ "step": 362
2545
+ },
2546
+ {
2547
+ "epoch": 2.389010989010989,
2548
+ "grad_norm": 0.7423340678215027,
2549
+ "learning_rate": 4.168514412416852e-05,
2550
+ "loss": 0.702,
2551
+ "step": 363
2552
+ },
2553
+ {
2554
+ "epoch": 2.3956043956043955,
2555
+ "grad_norm": 0.6840337514877319,
2556
+ "learning_rate": 4.124168514412417e-05,
2557
+ "loss": 0.7787,
2558
+ "step": 364
2559
+ },
2560
+ {
2561
+ "epoch": 2.402197802197802,
2562
+ "grad_norm": 0.6408001780509949,
2563
+ "learning_rate": 4.0798226164079826e-05,
2564
+ "loss": 0.8465,
2565
+ "step": 365
2566
+ },
2567
+ {
2568
+ "epoch": 2.4087912087912087,
2569
+ "grad_norm": 0.7359005808830261,
2570
+ "learning_rate": 4.035476718403548e-05,
2571
+ "loss": 0.6091,
2572
+ "step": 366
2573
+ },
2574
+ {
2575
+ "epoch": 2.4153846153846152,
2576
+ "grad_norm": 0.6782566905021667,
2577
+ "learning_rate": 3.9911308203991135e-05,
2578
+ "loss": 0.7427,
2579
+ "step": 367
2580
+ },
2581
+ {
2582
+ "epoch": 2.421978021978022,
2583
+ "grad_norm": 0.6211289763450623,
2584
+ "learning_rate": 3.9467849223946786e-05,
2585
+ "loss": 0.7191,
2586
+ "step": 368
2587
+ },
2588
+ {
2589
+ "epoch": 2.4285714285714284,
2590
+ "grad_norm": 0.7456162571907043,
2591
+ "learning_rate": 3.9024390243902444e-05,
2592
+ "loss": 0.6316,
2593
+ "step": 369
2594
+ },
2595
+ {
2596
+ "epoch": 2.4351648351648354,
2597
+ "grad_norm": 0.76494300365448,
2598
+ "learning_rate": 3.8580931263858095e-05,
2599
+ "loss": 0.9598,
2600
+ "step": 370
2601
+ },
2602
+ {
2603
+ "epoch": 2.441758241758242,
2604
+ "grad_norm": 0.699178159236908,
2605
+ "learning_rate": 3.8137472283813746e-05,
2606
+ "loss": 0.6878,
2607
+ "step": 371
2608
+ },
2609
+ {
2610
+ "epoch": 2.4483516483516485,
2611
+ "grad_norm": 0.6407485008239746,
2612
+ "learning_rate": 3.7694013303769404e-05,
2613
+ "loss": 0.7074,
2614
+ "step": 372
2615
+ },
2616
+ {
2617
+ "epoch": 2.454945054945055,
2618
+ "grad_norm": 0.5461326241493225,
2619
+ "learning_rate": 3.7250554323725055e-05,
2620
+ "loss": 0.632,
2621
+ "step": 373
2622
+ },
2623
+ {
2624
+ "epoch": 2.4615384615384617,
2625
+ "grad_norm": 0.8245248198509216,
2626
+ "learning_rate": 3.6807095343680706e-05,
2627
+ "loss": 0.7632,
2628
+ "step": 374
2629
+ },
2630
+ {
2631
+ "epoch": 2.4681318681318682,
2632
+ "grad_norm": 0.7752164602279663,
2633
+ "learning_rate": 3.6363636363636364e-05,
2634
+ "loss": 0.8062,
2635
+ "step": 375
2636
+ },
2637
+ {
2638
+ "epoch": 2.474725274725275,
2639
+ "grad_norm": 0.6900202631950378,
2640
+ "learning_rate": 3.5920177383592015e-05,
2641
+ "loss": 0.689,
2642
+ "step": 376
2643
+ },
2644
+ {
2645
+ "epoch": 2.4813186813186814,
2646
+ "grad_norm": 0.6894698739051819,
2647
+ "learning_rate": 3.547671840354767e-05,
2648
+ "loss": 0.685,
2649
+ "step": 377
2650
+ },
2651
+ {
2652
+ "epoch": 2.487912087912088,
2653
+ "grad_norm": 0.743312418460846,
2654
+ "learning_rate": 3.503325942350333e-05,
2655
+ "loss": 0.6954,
2656
+ "step": 378
2657
+ },
2658
+ {
2659
+ "epoch": 2.4945054945054945,
2660
+ "grad_norm": 0.7428473234176636,
2661
+ "learning_rate": 3.458980044345898e-05,
2662
+ "loss": 0.6586,
2663
+ "step": 379
2664
+ },
2665
+ {
2666
+ "epoch": 2.501098901098901,
2667
+ "grad_norm": 0.6857025027275085,
2668
+ "learning_rate": 3.414634146341464e-05,
2669
+ "loss": 0.659,
2670
+ "step": 380
2671
+ },
2672
+ {
2673
+ "epoch": 2.5076923076923077,
2674
+ "grad_norm": 0.691189169883728,
2675
+ "learning_rate": 3.370288248337029e-05,
2676
+ "loss": 0.7909,
2677
+ "step": 381
2678
+ },
2679
+ {
2680
+ "epoch": 2.5142857142857142,
2681
+ "grad_norm": 0.7529495358467102,
2682
+ "learning_rate": 3.325942350332594e-05,
2683
+ "loss": 0.6971,
2684
+ "step": 382
2685
+ },
2686
+ {
2687
+ "epoch": 2.520879120879121,
2688
+ "grad_norm": 0.8102642297744751,
2689
+ "learning_rate": 3.28159645232816e-05,
2690
+ "loss": 0.7354,
2691
+ "step": 383
2692
+ },
2693
+ {
2694
+ "epoch": 2.5274725274725274,
2695
+ "grad_norm": 0.6831857562065125,
2696
+ "learning_rate": 3.237250554323725e-05,
2697
+ "loss": 0.6553,
2698
+ "step": 384
2699
+ },
2700
+ {
2701
+ "epoch": 2.534065934065934,
2702
+ "grad_norm": 0.7702910304069519,
2703
+ "learning_rate": 3.19290465631929e-05,
2704
+ "loss": 0.5866,
2705
+ "step": 385
2706
+ },
2707
+ {
2708
+ "epoch": 2.5406593406593405,
2709
+ "grad_norm": 0.7641969323158264,
2710
+ "learning_rate": 3.148558758314856e-05,
2711
+ "loss": 0.7697,
2712
+ "step": 386
2713
+ },
2714
+ {
2715
+ "epoch": 2.547252747252747,
2716
+ "grad_norm": 0.6161828637123108,
2717
+ "learning_rate": 3.104212860310421e-05,
2718
+ "loss": 0.6594,
2719
+ "step": 387
2720
+ },
2721
+ {
2722
+ "epoch": 2.5538461538461537,
2723
+ "grad_norm": 0.6707410216331482,
2724
+ "learning_rate": 3.059866962305987e-05,
2725
+ "loss": 0.7081,
2726
+ "step": 388
2727
+ },
2728
+ {
2729
+ "epoch": 2.5604395604395602,
2730
+ "grad_norm": 0.7885312438011169,
2731
+ "learning_rate": 3.0155210643015524e-05,
2732
+ "loss": 0.7696,
2733
+ "step": 389
2734
+ },
2735
+ {
2736
+ "epoch": 2.567032967032967,
2737
+ "grad_norm": 0.7820473909378052,
2738
+ "learning_rate": 2.971175166297118e-05,
2739
+ "loss": 0.6843,
2740
+ "step": 390
2741
+ },
2742
+ {
2743
+ "epoch": 2.5736263736263734,
2744
+ "grad_norm": 0.7199775576591492,
2745
+ "learning_rate": 2.926829268292683e-05,
2746
+ "loss": 0.869,
2747
+ "step": 391
2748
+ },
2749
+ {
2750
+ "epoch": 2.5802197802197804,
2751
+ "grad_norm": 0.7974603772163391,
2752
+ "learning_rate": 2.8824833702882487e-05,
2753
+ "loss": 0.7899,
2754
+ "step": 392
2755
+ },
2756
+ {
2757
+ "epoch": 2.586813186813187,
2758
+ "grad_norm": 0.6653918623924255,
2759
+ "learning_rate": 2.838137472283814e-05,
2760
+ "loss": 0.6094,
2761
+ "step": 393
2762
+ },
2763
+ {
2764
+ "epoch": 2.5934065934065935,
2765
+ "grad_norm": 0.6833547949790955,
2766
+ "learning_rate": 2.793791574279379e-05,
2767
+ "loss": 0.6213,
2768
+ "step": 394
2769
+ },
2770
+ {
2771
+ "epoch": 2.6,
2772
+ "grad_norm": 0.6442340016365051,
2773
+ "learning_rate": 2.7494456762749448e-05,
2774
+ "loss": 0.6882,
2775
+ "step": 395
2776
+ },
2777
+ {
2778
+ "epoch": 2.6065934065934067,
2779
+ "grad_norm": 0.7573860883712769,
2780
+ "learning_rate": 2.7050997782705102e-05,
2781
+ "loss": 0.5794,
2782
+ "step": 396
2783
+ },
2784
+ {
2785
+ "epoch": 2.6131868131868132,
2786
+ "grad_norm": 0.755738377571106,
2787
+ "learning_rate": 2.6607538802660753e-05,
2788
+ "loss": 0.7129,
2789
+ "step": 397
2790
+ },
2791
+ {
2792
+ "epoch": 2.61978021978022,
2793
+ "grad_norm": 0.6064629554748535,
2794
+ "learning_rate": 2.616407982261641e-05,
2795
+ "loss": 0.5524,
2796
+ "step": 398
2797
+ },
2798
+ {
2799
+ "epoch": 2.6263736263736264,
2800
+ "grad_norm": 0.7285276651382446,
2801
+ "learning_rate": 2.5720620842572062e-05,
2802
+ "loss": 0.6526,
2803
+ "step": 399
2804
+ },
2805
+ {
2806
+ "epoch": 2.632967032967033,
2807
+ "grad_norm": 0.711154043674469,
2808
+ "learning_rate": 2.5277161862527717e-05,
2809
+ "loss": 0.7591,
2810
+ "step": 400
2811
+ },
2812
+ {
2813
+ "epoch": 2.6395604395604395,
2814
+ "grad_norm": 0.6310650110244751,
2815
+ "learning_rate": 2.483370288248337e-05,
2816
+ "loss": 0.5711,
2817
+ "step": 401
2818
+ },
2819
+ {
2820
+ "epoch": 2.646153846153846,
2821
+ "grad_norm": 0.6208779811859131,
2822
+ "learning_rate": 2.4390243902439026e-05,
2823
+ "loss": 0.5996,
2824
+ "step": 402
2825
+ },
2826
+ {
2827
+ "epoch": 2.6527472527472526,
2828
+ "grad_norm": 0.7026847004890442,
2829
+ "learning_rate": 2.394678492239468e-05,
2830
+ "loss": 0.7114,
2831
+ "step": 403
2832
+ },
2833
+ {
2834
+ "epoch": 2.659340659340659,
2835
+ "grad_norm": 0.7767087817192078,
2836
+ "learning_rate": 2.3503325942350335e-05,
2837
+ "loss": 0.7036,
2838
+ "step": 404
2839
+ },
2840
+ {
2841
+ "epoch": 2.665934065934066,
2842
+ "grad_norm": 0.7058011889457703,
2843
+ "learning_rate": 2.3059866962305986e-05,
2844
+ "loss": 0.7313,
2845
+ "step": 405
2846
+ },
2847
+ {
2848
+ "epoch": 2.672527472527473,
2849
+ "grad_norm": 0.7921257019042969,
2850
+ "learning_rate": 2.261640798226164e-05,
2851
+ "loss": 0.6598,
2852
+ "step": 406
2853
+ },
2854
+ {
2855
+ "epoch": 2.6791208791208794,
2856
+ "grad_norm": 0.8462347984313965,
2857
+ "learning_rate": 2.2172949002217298e-05,
2858
+ "loss": 0.7092,
2859
+ "step": 407
2860
+ },
2861
+ {
2862
+ "epoch": 2.685714285714286,
2863
+ "grad_norm": 0.8546882271766663,
2864
+ "learning_rate": 2.172949002217295e-05,
2865
+ "loss": 0.7527,
2866
+ "step": 408
2867
+ },
2868
+ {
2869
+ "epoch": 2.6923076923076925,
2870
+ "grad_norm": 0.6981221437454224,
2871
+ "learning_rate": 2.1286031042128604e-05,
2872
+ "loss": 0.798,
2873
+ "step": 409
2874
+ },
2875
+ {
2876
+ "epoch": 2.698901098901099,
2877
+ "grad_norm": 0.6834746599197388,
2878
+ "learning_rate": 2.084257206208426e-05,
2879
+ "loss": 0.6623,
2880
+ "step": 410
2881
+ },
2882
+ {
2883
+ "epoch": 2.7054945054945057,
2884
+ "grad_norm": 0.7084916234016418,
2885
+ "learning_rate": 2.0399113082039913e-05,
2886
+ "loss": 0.6304,
2887
+ "step": 411
2888
+ },
2889
+ {
2890
+ "epoch": 2.7120879120879122,
2891
+ "grad_norm": 0.6562837958335876,
2892
+ "learning_rate": 1.9955654101995567e-05,
2893
+ "loss": 0.7604,
2894
+ "step": 412
2895
+ },
2896
+ {
2897
+ "epoch": 2.718681318681319,
2898
+ "grad_norm": 0.7399200201034546,
2899
+ "learning_rate": 1.9512195121951222e-05,
2900
+ "loss": 0.7445,
2901
+ "step": 413
2902
+ },
2903
+ {
2904
+ "epoch": 2.7252747252747254,
2905
+ "grad_norm": 0.7633038759231567,
2906
+ "learning_rate": 1.9068736141906873e-05,
2907
+ "loss": 0.6965,
2908
+ "step": 414
2909
+ },
2910
+ {
2911
+ "epoch": 2.731868131868132,
2912
+ "grad_norm": 0.6780048608779907,
2913
+ "learning_rate": 1.8625277161862528e-05,
2914
+ "loss": 0.7226,
2915
+ "step": 415
2916
+ },
2917
+ {
2918
+ "epoch": 2.7384615384615385,
2919
+ "grad_norm": 0.7924910187721252,
2920
+ "learning_rate": 1.8181818181818182e-05,
2921
+ "loss": 0.6453,
2922
+ "step": 416
2923
+ },
2924
+ {
2925
+ "epoch": 2.745054945054945,
2926
+ "grad_norm": 0.8024608492851257,
2927
+ "learning_rate": 1.7738359201773837e-05,
2928
+ "loss": 0.7223,
2929
+ "step": 417
2930
+ },
2931
+ {
2932
+ "epoch": 2.7516483516483516,
2933
+ "grad_norm": 0.6756635308265686,
2934
+ "learning_rate": 1.729490022172949e-05,
2935
+ "loss": 0.7092,
2936
+ "step": 418
2937
+ },
2938
+ {
2939
+ "epoch": 2.758241758241758,
2940
+ "grad_norm": 0.7710825800895691,
2941
+ "learning_rate": 1.6851441241685146e-05,
2942
+ "loss": 0.6941,
2943
+ "step": 419
2944
+ },
2945
+ {
2946
+ "epoch": 2.764835164835165,
2947
+ "grad_norm": 0.7406888008117676,
2948
+ "learning_rate": 1.64079822616408e-05,
2949
+ "loss": 0.7118,
2950
+ "step": 420
2951
+ },
2952
+ {
2953
+ "epoch": 2.7714285714285714,
2954
+ "grad_norm": 0.9230878353118896,
2955
+ "learning_rate": 1.596452328159645e-05,
2956
+ "loss": 0.6651,
2957
+ "step": 421
2958
+ },
2959
+ {
2960
+ "epoch": 2.778021978021978,
2961
+ "grad_norm": 0.813704252243042,
2962
+ "learning_rate": 1.5521064301552106e-05,
2963
+ "loss": 0.7587,
2964
+ "step": 422
2965
+ },
2966
+ {
2967
+ "epoch": 2.7846153846153845,
2968
+ "grad_norm": 0.656252920627594,
2969
+ "learning_rate": 1.5077605321507762e-05,
2970
+ "loss": 0.6469,
2971
+ "step": 423
2972
+ },
2973
+ {
2974
+ "epoch": 2.791208791208791,
2975
+ "grad_norm": 0.8923037648200989,
2976
+ "learning_rate": 1.4634146341463415e-05,
2977
+ "loss": 0.8542,
2978
+ "step": 424
2979
+ },
2980
+ {
2981
+ "epoch": 2.7978021978021976,
2982
+ "grad_norm": 0.8174076676368713,
2983
+ "learning_rate": 1.419068736141907e-05,
2984
+ "loss": 0.8131,
2985
+ "step": 425
2986
+ },
2987
+ {
2988
+ "epoch": 2.804395604395604,
2989
+ "grad_norm": 0.7854478359222412,
2990
+ "learning_rate": 1.3747228381374724e-05,
2991
+ "loss": 0.7304,
2992
+ "step": 426
2993
+ },
2994
+ {
2995
+ "epoch": 2.8109890109890108,
2996
+ "grad_norm": 0.8396859169006348,
2997
+ "learning_rate": 1.3303769401330377e-05,
2998
+ "loss": 0.7908,
2999
+ "step": 427
3000
+ },
3001
+ {
3002
+ "epoch": 2.8175824175824173,
3003
+ "grad_norm": 0.7249636650085449,
3004
+ "learning_rate": 1.2860310421286031e-05,
3005
+ "loss": 0.7164,
3006
+ "step": 428
3007
+ },
3008
+ {
3009
+ "epoch": 2.824175824175824,
3010
+ "grad_norm": 0.6814908981323242,
3011
+ "learning_rate": 1.2416851441241686e-05,
3012
+ "loss": 0.5167,
3013
+ "step": 429
3014
+ },
3015
+ {
3016
+ "epoch": 2.830769230769231,
3017
+ "grad_norm": 0.6904162168502808,
3018
+ "learning_rate": 1.197339246119734e-05,
3019
+ "loss": 0.7017,
3020
+ "step": 430
3021
+ },
3022
+ {
3023
+ "epoch": 2.8373626373626375,
3024
+ "grad_norm": 0.8621271848678589,
3025
+ "learning_rate": 1.1529933481152993e-05,
3026
+ "loss": 0.6564,
3027
+ "step": 431
3028
+ },
3029
+ {
3030
+ "epoch": 2.843956043956044,
3031
+ "grad_norm": 0.7942920327186584,
3032
+ "learning_rate": 1.1086474501108649e-05,
3033
+ "loss": 0.7986,
3034
+ "step": 432
3035
+ },
3036
+ {
3037
+ "epoch": 2.8505494505494506,
3038
+ "grad_norm": 0.8235623836517334,
3039
+ "learning_rate": 1.0643015521064302e-05,
3040
+ "loss": 0.8021,
3041
+ "step": 433
3042
+ },
3043
+ {
3044
+ "epoch": 2.857142857142857,
3045
+ "grad_norm": 0.8427809476852417,
3046
+ "learning_rate": 1.0199556541019956e-05,
3047
+ "loss": 0.7267,
3048
+ "step": 434
3049
+ },
3050
+ {
3051
+ "epoch": 2.8637362637362638,
3052
+ "grad_norm": 0.7525250315666199,
3053
+ "learning_rate": 9.756097560975611e-06,
3054
+ "loss": 0.7237,
3055
+ "step": 435
3056
+ }
3057
+ ],
3058
+ "logging_steps": 1,
3059
+ "max_steps": 456,
3060
+ "num_input_tokens_seen": 0,
3061
+ "num_train_epochs": 3,
3062
+ "save_steps": 15,
3063
+ "stateful_callbacks": {
3064
+ "TrainerControl": {
3065
+ "args": {
3066
+ "should_epoch_stop": false,
3067
+ "should_evaluate": false,
3068
+ "should_log": false,
3069
+ "should_save": true,
3070
+ "should_training_stop": false
3071
+ },
3072
+ "attributes": {}
3073
+ }
3074
+ },
3075
+ "total_flos": 6.979244564914176e+16,
3076
+ "train_batch_size": 22,
3077
+ "trial_name": null,
3078
+ "trial_params": null
3079
+ }
checkpoint-435/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9bdb5f54ae2ffae42603aad4fb0604ec5b6eda3acc85b29ccdd2cdc07e1e5ed2
3
+ size 6417
checkpoint-435/vocab.json ADDED
The diff for this file is too large to render. See raw diff