Kaipengm2 commited on
Commit
bc6796f
·
verified ·
1 Parent(s): 2d37b2f

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: OpenOneRec/OneReason-0.8B-pretrain-competition
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:/inspire/hdd/global_user/zhengkaipeng-240108120123/models/OneReason-0.8B-pretrain-competition
7
+ - llama-factory
8
+ - lora
9
+ - transformers
10
+ ---
11
+
12
+ # Model Card for Model ID
13
+
14
+ <!-- Provide a quick summary of what the model is/does. -->
15
+
16
+
17
+
18
+ ## Model Details
19
+
20
+ ### Model Description
21
+
22
+ <!-- Provide a longer summary of what this model is. -->
23
+
24
+
25
+
26
+ - **Developed by:** [More Information Needed]
27
+ - **Funded by [optional]:** [More Information Needed]
28
+ - **Shared by [optional]:** [More Information Needed]
29
+ - **Model type:** [More Information Needed]
30
+ - **Language(s) (NLP):** [More Information Needed]
31
+ - **License:** [More Information Needed]
32
+ - **Finetuned from model [optional]:** [More Information Needed]
33
+
34
+ ### Model Sources [optional]
35
+
36
+ <!-- Provide the basic links for the model. -->
37
+
38
+ - **Repository:** [More Information Needed]
39
+ - **Paper [optional]:** [More Information Needed]
40
+ - **Demo [optional]:** [More Information Needed]
41
+
42
+ ## Uses
43
+
44
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
45
+
46
+ ### Direct Use
47
+
48
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Downstream Use [optional]
53
+
54
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
55
+
56
+ [More Information Needed]
57
+
58
+ ### Out-of-Scope Use
59
+
60
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ## Bias, Risks, and Limitations
65
+
66
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
67
+
68
+ [More Information Needed]
69
+
70
+ ### Recommendations
71
+
72
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
73
+
74
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
75
+
76
+ ## How to Get Started with the Model
77
+
78
+ Use the code below to get started with the model.
79
+
80
+ [More Information Needed]
81
+
82
+ ## Training Details
83
+
84
+ ### Training Data
85
+
86
+ <!-- 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. -->
87
+
88
+ [More Information Needed]
89
+
90
+ ### Training Procedure
91
+
92
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
93
+
94
+ #### Preprocessing [optional]
95
+
96
+ [More Information Needed]
97
+
98
+
99
+ #### Training Hyperparameters
100
+
101
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
102
+
103
+ #### Speeds, Sizes, Times [optional]
104
+
105
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
106
+
107
+ [More Information Needed]
108
+
109
+ ## Evaluation
110
+
111
+ <!-- This section describes the evaluation protocols and provides the results. -->
112
+
113
+ ### Testing Data, Factors & Metrics
114
+
115
+ #### Testing Data
116
+
117
+ <!-- This should link to a Dataset Card if possible. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Factors
122
+
123
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
124
+
125
+ [More Information Needed]
126
+
127
+ #### Metrics
128
+
129
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
130
+
131
+ [More Information Needed]
132
+
133
+ ### Results
134
+
135
+ [More Information Needed]
136
+
137
+ #### Summary
138
+
139
+
140
+
141
+ ## Model Examination [optional]
142
+
143
+ <!-- Relevant interpretability work for the model goes here -->
144
+
145
+ [More Information Needed]
146
+
147
+ ## Environmental Impact
148
+
149
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
150
+
151
+ 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).
152
+
153
+ - **Hardware Type:** [More Information Needed]
154
+ - **Hours used:** [More Information Needed]
155
+ - **Cloud Provider:** [More Information Needed]
156
+ - **Compute Region:** [More Information Needed]
157
+ - **Carbon Emitted:** [More Information Needed]
158
+
159
+ ## Technical Specifications [optional]
160
+
161
+ ### Model Architecture and Objective
162
+
163
+ [More Information Needed]
164
+
165
+ ### Compute Infrastructure
166
+
167
+ [More Information Needed]
168
+
169
+ #### Hardware
170
+
171
+ [More Information Needed]
172
+
173
+ #### Software
174
+
175
+ [More Information Needed]
176
+
177
+ ## Citation [optional]
178
+
179
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
180
+
181
+ **BibTeX:**
182
+
183
+ [More Information Needed]
184
+
185
+ **APA:**
186
+
187
+ [More Information Needed]
188
+
189
+ ## Glossary [optional]
190
+
191
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
192
+
193
+ [More Information Needed]
194
+
195
+ ## More Information [optional]
196
+
197
+ [More Information Needed]
198
+
199
+ ## Model Card Authors [optional]
200
+
201
+ [More Information Needed]
202
+
203
+ ## Model Card Contact
204
+
205
+ [More Information Needed]
206
+ ### Framework versions
207
+
208
+ - PEFT 0.19.1
adapter_config.json ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "/inspire/hdd/global_user/zhengkaipeng-240108120123/models/OneReason-0.8B-pretrain-competition",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 32,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "lora_ga_config": null,
23
+ "megatron_config": null,
24
+ "megatron_core": "megatron.core",
25
+ "modules_to_save": null,
26
+ "peft_type": "LORA",
27
+ "peft_version": "0.19.1",
28
+ "qalora_group_size": 16,
29
+ "r": 16,
30
+ "rank_pattern": {},
31
+ "revision": null,
32
+ "target_modules": [
33
+ "q_proj",
34
+ "v_proj",
35
+ "k_proj",
36
+ "up_proj",
37
+ "down_proj",
38
+ "o_proj",
39
+ "gate_proj"
40
+ ],
41
+ "target_parameters": null,
42
+ "task_type": "CAUSAL_LM",
43
+ "trainable_token_indices": null,
44
+ "use_bdlora": null,
45
+ "use_dora": false,
46
+ "use_qalora": false,
47
+ "use_rslora": false
48
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e42221f3258234af8f7ecf53a65a8a025b596c196ceacaff2a11069452f9b99
3
+ size 40422168
chat_template.jinja ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# 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>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\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" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if message.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- if enable_thinking is defined and enable_thinking is false %}
87
+ {{- '<think>\n\n</think>\n\n' }}
88
+ {%- endif %}
89
+ {%- endif %}
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dac9cfd83495d7af6848eb82a981f7f4ad44d149d9e17c64ab1fcb7c82cd7c5d
3
+ size 81070011
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5bff8a506b2a0d826393762df29a4938909ff99da7b3a34cf1f94528e75482bb
3
+ size 15429
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85463b3eb6d47f843366cf43f5a2fad84e06d85d498ace3a455e767649955b92
3
+ size 15429
rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd871e116a632862902421fe5f77c988d54f59ee131bdae0543ca0754e35aefa
3
+ size 15429
rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6afc5122bdb3fb6af4b4bdee1e66653694eb2115866dbafeffdda4a04748470b
3
+ size 15429
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2cac2d929b1833a57939acddf74a5eee464fc119c5cf7fdc0649bbeb2a05e3df
3
+ size 1465
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd4d15f596979aecbc11ba12668cb21c9fb8452ce1235cd9d7878cc950170421
3
+ size 16016554
tokenizer_config.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": null,
5
+ "clean_up_tokenization_spaces": false,
6
+ "eos_token": "<|im_end|>",
7
+ "errors": "replace",
8
+ "is_local": true,
9
+ "model_max_length": 131072,
10
+ "pad_token": "<|endoftext|>",
11
+ "padding_side": "right",
12
+ "split_special_tokens": false,
13
+ "tokenizer_class": "Qwen2Tokenizer",
14
+ "unk_token": null
15
+ }
trainer_state.json ADDED
@@ -0,0 +1,2876 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 2030,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0024630541871921183,
14
+ "grad_norm": 1.627393126487732,
15
+ "learning_rate": 9.836065573770491e-06,
16
+ "loss": 3.0176469802856447,
17
+ "step": 5
18
+ },
19
+ {
20
+ "epoch": 0.0049261083743842365,
21
+ "grad_norm": 0.8007542490959167,
22
+ "learning_rate": 2.2131147540983603e-05,
23
+ "loss": 2.913766860961914,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.007389162561576354,
28
+ "grad_norm": 0.3084839880466461,
29
+ "learning_rate": 3.442622950819672e-05,
30
+ "loss": 2.6249759674072264,
31
+ "step": 15
32
+ },
33
+ {
34
+ "epoch": 0.009852216748768473,
35
+ "grad_norm": 0.3165278136730194,
36
+ "learning_rate": 4.672131147540983e-05,
37
+ "loss": 2.54384765625,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.012315270935960592,
42
+ "grad_norm": 0.3195851743221283,
43
+ "learning_rate": 5.901639344262294e-05,
44
+ "loss": 2.4461576461791994,
45
+ "step": 25
46
+ },
47
+ {
48
+ "epoch": 0.014778325123152709,
49
+ "grad_norm": 0.20587186515331268,
50
+ "learning_rate": 7.131147540983606e-05,
51
+ "loss": 2.35736198425293,
52
+ "step": 30
53
+ },
54
+ {
55
+ "epoch": 0.017241379310344827,
56
+ "grad_norm": 0.23413971066474915,
57
+ "learning_rate": 8.360655737704916e-05,
58
+ "loss": 2.207070159912109,
59
+ "step": 35
60
+ },
61
+ {
62
+ "epoch": 0.019704433497536946,
63
+ "grad_norm": 0.21079401671886444,
64
+ "learning_rate": 9.59016393442623e-05,
65
+ "loss": 2.1630226135253907,
66
+ "step": 40
67
+ },
68
+ {
69
+ "epoch": 0.022167487684729065,
70
+ "grad_norm": 0.17173269391059875,
71
+ "learning_rate": 0.0001081967213114754,
72
+ "loss": 2.098428153991699,
73
+ "step": 45
74
+ },
75
+ {
76
+ "epoch": 0.024630541871921183,
77
+ "grad_norm": 0.16880469024181366,
78
+ "learning_rate": 0.00012049180327868852,
79
+ "loss": 2.018040084838867,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.027093596059113302,
84
+ "grad_norm": 0.1860426664352417,
85
+ "learning_rate": 0.00013278688524590162,
86
+ "loss": 1.9394796371459961,
87
+ "step": 55
88
+ },
89
+ {
90
+ "epoch": 0.029556650246305417,
91
+ "grad_norm": 0.2036733627319336,
92
+ "learning_rate": 0.00014508196721311472,
93
+ "loss": 1.8991952896118165,
94
+ "step": 60
95
+ },
96
+ {
97
+ "epoch": 0.03201970443349754,
98
+ "grad_norm": 0.21620874106884003,
99
+ "learning_rate": 0.0001499991408257329,
100
+ "loss": 1.8576393127441406,
101
+ "step": 65
102
+ },
103
+ {
104
+ "epoch": 0.034482758620689655,
105
+ "grad_norm": 0.1799483746290207,
106
+ "learning_rate": 0.00014999389038760955,
107
+ "loss": 1.834630584716797,
108
+ "step": 70
109
+ },
110
+ {
111
+ "epoch": 0.03694581280788178,
112
+ "grad_norm": 0.18848225474357605,
113
+ "learning_rate": 0.00014998386716414503,
114
+ "loss": 1.7935523986816406,
115
+ "step": 75
116
+ },
117
+ {
118
+ "epoch": 0.03940886699507389,
119
+ "grad_norm": 0.21468029916286469,
120
+ "learning_rate": 0.00014996907179324066,
121
+ "loss": 1.8077653884887694,
122
+ "step": 80
123
+ },
124
+ {
125
+ "epoch": 0.04187192118226601,
126
+ "grad_norm": 0.20116886496543884,
127
+ "learning_rate": 0.00014994950521650814,
128
+ "loss": 1.7493778228759767,
129
+ "step": 85
130
+ },
131
+ {
132
+ "epoch": 0.04433497536945813,
133
+ "grad_norm": 0.18760953843593597,
134
+ "learning_rate": 0.0001499251686792099,
135
+ "loss": 1.7583953857421875,
136
+ "step": 90
137
+ },
138
+ {
139
+ "epoch": 0.046798029556650245,
140
+ "grad_norm": 0.22799813747406006,
141
+ "learning_rate": 0.00014989606373017966,
142
+ "loss": 1.7204261779785157,
143
+ "step": 95
144
+ },
145
+ {
146
+ "epoch": 0.04926108374384237,
147
+ "grad_norm": 0.2023308128118515,
148
+ "learning_rate": 0.00014986219222172398,
149
+ "loss": 1.6771041870117187,
150
+ "step": 100
151
+ },
152
+ {
153
+ "epoch": 0.05172413793103448,
154
+ "grad_norm": 0.2221589833498001,
155
+ "learning_rate": 0.00014982355630950431,
156
+ "loss": 1.723992156982422,
157
+ "step": 105
158
+ },
159
+ {
160
+ "epoch": 0.054187192118226604,
161
+ "grad_norm": 0.2168349176645279,
162
+ "learning_rate": 0.00014978015845239985,
163
+ "loss": 1.6915512084960938,
164
+ "step": 110
165
+ },
166
+ {
167
+ "epoch": 0.05665024630541872,
168
+ "grad_norm": 0.24630236625671387,
169
+ "learning_rate": 0.00014973200141235097,
170
+ "loss": 1.6741020202636718,
171
+ "step": 115
172
+ },
173
+ {
174
+ "epoch": 0.059113300492610835,
175
+ "grad_norm": 0.20771881937980652,
176
+ "learning_rate": 0.00014967908825418353,
177
+ "loss": 1.6523841857910155,
178
+ "step": 120
179
+ },
180
+ {
181
+ "epoch": 0.06157635467980296,
182
+ "grad_norm": 0.2257814109325409,
183
+ "learning_rate": 0.00014962142234541383,
184
+ "loss": 1.658163833618164,
185
+ "step": 125
186
+ },
187
+ {
188
+ "epoch": 0.06403940886699508,
189
+ "grad_norm": 0.19681569933891296,
190
+ "learning_rate": 0.00014955900735603425,
191
+ "loss": 1.6330482482910156,
192
+ "step": 130
193
+ },
194
+ {
195
+ "epoch": 0.0665024630541872,
196
+ "grad_norm": 0.22882717847824097,
197
+ "learning_rate": 0.00014949184725827956,
198
+ "loss": 1.697220230102539,
199
+ "step": 135
200
+ },
201
+ {
202
+ "epoch": 0.06896551724137931,
203
+ "grad_norm": 0.21855653822422028,
204
+ "learning_rate": 0.0001494199463263744,
205
+ "loss": 1.6352031707763672,
206
+ "step": 140
207
+ },
208
+ {
209
+ "epoch": 0.07142857142857142,
210
+ "grad_norm": 0.21962988376617432,
211
+ "learning_rate": 0.0001493433091362611,
212
+ "loss": 1.6244991302490235,
213
+ "step": 145
214
+ },
215
+ {
216
+ "epoch": 0.07389162561576355,
217
+ "grad_norm": 0.23113107681274414,
218
+ "learning_rate": 0.00014926194056530834,
219
+ "loss": 1.6402645111083984,
220
+ "step": 150
221
+ },
222
+ {
223
+ "epoch": 0.07635467980295567,
224
+ "grad_norm": 0.20645377039909363,
225
+ "learning_rate": 0.00014917584579200095,
226
+ "loss": 1.5941497802734375,
227
+ "step": 155
228
+ },
229
+ {
230
+ "epoch": 0.07881773399014778,
231
+ "grad_norm": 0.20156218111515045,
232
+ "learning_rate": 0.00014908503029561026,
233
+ "loss": 1.6078596115112305,
234
+ "step": 160
235
+ },
236
+ {
237
+ "epoch": 0.0812807881773399,
238
+ "grad_norm": 0.2265356332063675,
239
+ "learning_rate": 0.00014898949985584533,
240
+ "loss": 1.5930806159973145,
241
+ "step": 165
242
+ },
243
+ {
244
+ "epoch": 0.08374384236453201,
245
+ "grad_norm": 0.20574317872524261,
246
+ "learning_rate": 0.00014888926055248524,
247
+ "loss": 1.6218435287475585,
248
+ "step": 170
249
+ },
250
+ {
251
+ "epoch": 0.08620689655172414,
252
+ "grad_norm": 0.30682989954948425,
253
+ "learning_rate": 0.000148784318764992,
254
+ "loss": 1.5747103691101074,
255
+ "step": 175
256
+ },
257
+ {
258
+ "epoch": 0.08866995073891626,
259
+ "grad_norm": 0.21600587666034698,
260
+ "learning_rate": 0.00014867468117210468,
261
+ "loss": 1.5787104606628417,
262
+ "step": 180
263
+ },
264
+ {
265
+ "epoch": 0.09113300492610837,
266
+ "grad_norm": 0.24654413759708405,
267
+ "learning_rate": 0.00014856035475141433,
268
+ "loss": 1.5819267272949218,
269
+ "step": 185
270
+ },
271
+ {
272
+ "epoch": 0.09359605911330049,
273
+ "grad_norm": 0.2086670994758606,
274
+ "learning_rate": 0.0001484413467789198,
275
+ "loss": 1.5679956436157227,
276
+ "step": 190
277
+ },
278
+ {
279
+ "epoch": 0.0960591133004926,
280
+ "grad_norm": 0.21862246096134186,
281
+ "learning_rate": 0.0001483176648285649,
282
+ "loss": 1.580882740020752,
283
+ "step": 195
284
+ },
285
+ {
286
+ "epoch": 0.09852216748768473,
287
+ "grad_norm": 0.21744588017463684,
288
+ "learning_rate": 0.0001481893167717561,
289
+ "loss": 1.617708969116211,
290
+ "step": 200
291
+ },
292
+ {
293
+ "epoch": 0.10098522167487685,
294
+ "grad_norm": 0.22349102795124054,
295
+ "learning_rate": 0.00014805631077686185,
296
+ "loss": 1.5356934547424317,
297
+ "step": 205
298
+ },
299
+ {
300
+ "epoch": 0.10344827586206896,
301
+ "grad_norm": 0.20569421350955963,
302
+ "learning_rate": 0.00014791865530869254,
303
+ "loss": 1.5298048973083496,
304
+ "step": 210
305
+ },
306
+ {
307
+ "epoch": 0.10591133004926108,
308
+ "grad_norm": 0.19164322316646576,
309
+ "learning_rate": 0.00014777635912796181,
310
+ "loss": 1.532371711730957,
311
+ "step": 215
312
+ },
313
+ {
314
+ "epoch": 0.10837438423645321,
315
+ "grad_norm": 0.2381337434053421,
316
+ "learning_rate": 0.0001476294312907291,
317
+ "loss": 1.5280881881713868,
318
+ "step": 220
319
+ },
320
+ {
321
+ "epoch": 0.11083743842364532,
322
+ "grad_norm": 0.23151648044586182,
323
+ "learning_rate": 0.0001474778811478231,
324
+ "loss": 1.5589888572692872,
325
+ "step": 225
326
+ },
327
+ {
328
+ "epoch": 0.11330049261083744,
329
+ "grad_norm": 0.2313881665468216,
330
+ "learning_rate": 0.00014732171834424694,
331
+ "loss": 1.5487717628479003,
332
+ "step": 230
333
+ },
334
+ {
335
+ "epoch": 0.11576354679802955,
336
+ "grad_norm": 0.2612460255622864,
337
+ "learning_rate": 0.000147160952818564,
338
+ "loss": 1.5135647773742675,
339
+ "step": 235
340
+ },
341
+ {
342
+ "epoch": 0.11822660098522167,
343
+ "grad_norm": 0.20482192933559418,
344
+ "learning_rate": 0.0001469955948022658,
345
+ "loss": 1.5466550827026366,
346
+ "step": 240
347
+ },
348
+ {
349
+ "epoch": 0.1206896551724138,
350
+ "grad_norm": 0.19292517006397247,
351
+ "learning_rate": 0.00014682565481912037,
352
+ "loss": 1.5234511375427247,
353
+ "step": 245
354
+ },
355
+ {
356
+ "epoch": 0.12315270935960591,
357
+ "grad_norm": 0.21411260962486267,
358
+ "learning_rate": 0.00014665114368450294,
359
+ "loss": 1.5166451454162597,
360
+ "step": 250
361
+ },
362
+ {
363
+ "epoch": 0.12561576354679804,
364
+ "grad_norm": 0.25454139709472656,
365
+ "learning_rate": 0.0001464720725047074,
366
+ "loss": 1.5222977638244628,
367
+ "step": 255
368
+ },
369
+ {
370
+ "epoch": 0.12807881773399016,
371
+ "grad_norm": 0.21349242329597473,
372
+ "learning_rate": 0.0001462884526762395,
373
+ "loss": 1.523837947845459,
374
+ "step": 260
375
+ },
376
+ {
377
+ "epoch": 0.13054187192118227,
378
+ "grad_norm": 0.24694757163524628,
379
+ "learning_rate": 0.00014610029588509147,
380
+ "loss": 1.5198171615600586,
381
+ "step": 265
382
+ },
383
+ {
384
+ "epoch": 0.1330049261083744,
385
+ "grad_norm": 0.20886920392513275,
386
+ "learning_rate": 0.00014590761410599853,
387
+ "loss": 1.5158114433288574,
388
+ "step": 270
389
+ },
390
+ {
391
+ "epoch": 0.1354679802955665,
392
+ "grad_norm": 0.23610642552375793,
393
+ "learning_rate": 0.0001457104196016765,
394
+ "loss": 1.5281448364257812,
395
+ "step": 275
396
+ },
397
+ {
398
+ "epoch": 0.13793103448275862,
399
+ "grad_norm": 0.1951839178800583,
400
+ "learning_rate": 0.00014550872492204164,
401
+ "loss": 1.5356016159057617,
402
+ "step": 280
403
+ },
404
+ {
405
+ "epoch": 0.14039408866995073,
406
+ "grad_norm": 0.21323804557323456,
407
+ "learning_rate": 0.00014530254290341167,
408
+ "loss": 1.5305219650268556,
409
+ "step": 285
410
+ },
411
+ {
412
+ "epoch": 0.14285714285714285,
413
+ "grad_norm": 0.21984122693538666,
414
+ "learning_rate": 0.00014509188666768914,
415
+ "loss": 1.5287348747253418,
416
+ "step": 290
417
+ },
418
+ {
419
+ "epoch": 0.14532019704433496,
420
+ "grad_norm": 0.21187560260295868,
421
+ "learning_rate": 0.00014487676962152607,
422
+ "loss": 1.5206907272338868,
423
+ "step": 295
424
+ },
425
+ {
426
+ "epoch": 0.1477832512315271,
427
+ "grad_norm": 0.2447018027305603,
428
+ "learning_rate": 0.00014465720545547083,
429
+ "loss": 1.557987594604492,
430
+ "step": 300
431
+ },
432
+ {
433
+ "epoch": 0.15024630541871922,
434
+ "grad_norm": 0.2692071199417114,
435
+ "learning_rate": 0.00014443320814309685,
436
+ "loss": 1.4944952011108399,
437
+ "step": 305
438
+ },
439
+ {
440
+ "epoch": 0.15270935960591134,
441
+ "grad_norm": 0.21768179535865784,
442
+ "learning_rate": 0.00014420479194011325,
443
+ "loss": 1.502120590209961,
444
+ "step": 310
445
+ },
446
+ {
447
+ "epoch": 0.15517241379310345,
448
+ "grad_norm": 0.20890283584594727,
449
+ "learning_rate": 0.00014397197138345767,
450
+ "loss": 1.5136074066162108,
451
+ "step": 315
452
+ },
453
+ {
454
+ "epoch": 0.15763546798029557,
455
+ "grad_norm": 0.20394501090049744,
456
+ "learning_rate": 0.000143734761290371,
457
+ "loss": 1.4903701782226562,
458
+ "step": 320
459
+ },
460
+ {
461
+ "epoch": 0.16009852216748768,
462
+ "grad_norm": 0.2339993268251419,
463
+ "learning_rate": 0.00014349317675745442,
464
+ "loss": 1.4917552947998047,
465
+ "step": 325
466
+ },
467
+ {
468
+ "epoch": 0.1625615763546798,
469
+ "grad_norm": 0.19806212186813354,
470
+ "learning_rate": 0.00014324723315970866,
471
+ "loss": 1.5024358749389648,
472
+ "step": 330
473
+ },
474
+ {
475
+ "epoch": 0.16502463054187191,
476
+ "grad_norm": 0.20194905996322632,
477
+ "learning_rate": 0.00014299694614955538,
478
+ "loss": 1.4618555068969727,
479
+ "step": 335
480
+ },
481
+ {
482
+ "epoch": 0.16748768472906403,
483
+ "grad_norm": 0.2149001955986023,
484
+ "learning_rate": 0.0001427423316558412,
485
+ "loss": 1.5069053649902344,
486
+ "step": 340
487
+ },
488
+ {
489
+ "epoch": 0.16995073891625614,
490
+ "grad_norm": 0.21930049359798431,
491
+ "learning_rate": 0.0001424834058828237,
492
+ "loss": 1.4832588195800782,
493
+ "step": 345
494
+ },
495
+ {
496
+ "epoch": 0.1724137931034483,
497
+ "grad_norm": 0.23513002693653107,
498
+ "learning_rate": 0.00014222018530914049,
499
+ "loss": 1.5300941467285156,
500
+ "step": 350
501
+ },
502
+ {
503
+ "epoch": 0.1748768472906404,
504
+ "grad_norm": 0.24027951061725616,
505
+ "learning_rate": 0.00014195268668676007,
506
+ "loss": 1.4527239799499512,
507
+ "step": 355
508
+ },
509
+ {
510
+ "epoch": 0.17733990147783252,
511
+ "grad_norm": 0.22858044505119324,
512
+ "learning_rate": 0.000141680927039916,
513
+ "loss": 1.4938695907592774,
514
+ "step": 360
515
+ },
516
+ {
517
+ "epoch": 0.17980295566502463,
518
+ "grad_norm": 0.1923241913318634,
519
+ "learning_rate": 0.00014140492366402334,
520
+ "loss": 1.477768325805664,
521
+ "step": 365
522
+ },
523
+ {
524
+ "epoch": 0.18226600985221675,
525
+ "grad_norm": 0.20562614500522614,
526
+ "learning_rate": 0.00014112469412457782,
527
+ "loss": 1.4464492797851562,
528
+ "step": 370
529
+ },
530
+ {
531
+ "epoch": 0.18472906403940886,
532
+ "grad_norm": 0.21619316935539246,
533
+ "learning_rate": 0.00014084025625603813,
534
+ "loss": 1.5029674530029298,
535
+ "step": 375
536
+ },
537
+ {
538
+ "epoch": 0.18719211822660098,
539
+ "grad_norm": 0.2293156236410141,
540
+ "learning_rate": 0.00014055162816069077,
541
+ "loss": 1.4607781410217284,
542
+ "step": 380
543
+ },
544
+ {
545
+ "epoch": 0.1896551724137931,
546
+ "grad_norm": 0.22010239958763123,
547
+ "learning_rate": 0.000140258828207498,
548
+ "loss": 1.453076171875,
549
+ "step": 385
550
+ },
551
+ {
552
+ "epoch": 0.1921182266009852,
553
+ "grad_norm": 0.21647651493549347,
554
+ "learning_rate": 0.00013996187503092884,
555
+ "loss": 1.4681432723999024,
556
+ "step": 390
557
+ },
558
+ {
559
+ "epoch": 0.19458128078817735,
560
+ "grad_norm": 0.2153208702802658,
561
+ "learning_rate": 0.000139660787529773,
562
+ "loss": 1.5228609085083007,
563
+ "step": 395
564
+ },
565
+ {
566
+ "epoch": 0.19704433497536947,
567
+ "grad_norm": 0.19213175773620605,
568
+ "learning_rate": 0.0001393555848659383,
569
+ "loss": 1.471001434326172,
570
+ "step": 400
571
+ },
572
+ {
573
+ "epoch": 0.19950738916256158,
574
+ "grad_norm": 0.21129681169986725,
575
+ "learning_rate": 0.00013904628646323105,
576
+ "loss": 1.4540966033935547,
577
+ "step": 405
578
+ },
579
+ {
580
+ "epoch": 0.2019704433497537,
581
+ "grad_norm": 0.23157598078250885,
582
+ "learning_rate": 0.0001387329120061198,
583
+ "loss": 1.464762020111084,
584
+ "step": 410
585
+ },
586
+ {
587
+ "epoch": 0.2044334975369458,
588
+ "grad_norm": 0.24082177877426147,
589
+ "learning_rate": 0.00013841548143848283,
590
+ "loss": 1.4243175506591796,
591
+ "step": 415
592
+ },
593
+ {
594
+ "epoch": 0.20689655172413793,
595
+ "grad_norm": 0.21667946875095367,
596
+ "learning_rate": 0.0001380940149623386,
597
+ "loss": 1.4062715530395509,
598
+ "step": 420
599
+ },
600
+ {
601
+ "epoch": 0.20935960591133004,
602
+ "grad_norm": 0.2099546641111374,
603
+ "learning_rate": 0.00013776853303656012,
604
+ "loss": 1.4669032096862793,
605
+ "step": 425
606
+ },
607
+ {
608
+ "epoch": 0.21182266009852216,
609
+ "grad_norm": 0.23444649577140808,
610
+ "learning_rate": 0.0001374390563755731,
611
+ "loss": 1.4326099395751952,
612
+ "step": 430
613
+ },
614
+ {
615
+ "epoch": 0.21428571428571427,
616
+ "grad_norm": 0.19571436941623688,
617
+ "learning_rate": 0.00013710560594803735,
618
+ "loss": 1.43844575881958,
619
+ "step": 435
620
+ },
621
+ {
622
+ "epoch": 0.21674876847290642,
623
+ "grad_norm": 0.23410262167453766,
624
+ "learning_rate": 0.00013676820297551243,
625
+ "loss": 1.4372885704040528,
626
+ "step": 440
627
+ },
628
+ {
629
+ "epoch": 0.21921182266009853,
630
+ "grad_norm": 0.19299852848052979,
631
+ "learning_rate": 0.00013642686893110706,
632
+ "loss": 1.4768877029418945,
633
+ "step": 445
634
+ },
635
+ {
636
+ "epoch": 0.22167487684729065,
637
+ "grad_norm": 0.20944936573505402,
638
+ "learning_rate": 0.00013608162553811255,
639
+ "loss": 1.4158610343933105,
640
+ "step": 450
641
+ },
642
+ {
643
+ "epoch": 0.22413793103448276,
644
+ "grad_norm": 0.2328590452671051,
645
+ "learning_rate": 0.00013573249476862007,
646
+ "loss": 1.404058074951172,
647
+ "step": 455
648
+ },
649
+ {
650
+ "epoch": 0.22660098522167488,
651
+ "grad_norm": 0.219072163105011,
652
+ "learning_rate": 0.0001353794988421227,
653
+ "loss": 1.3862098693847655,
654
+ "step": 460
655
+ },
656
+ {
657
+ "epoch": 0.229064039408867,
658
+ "grad_norm": 0.20859263837337494,
659
+ "learning_rate": 0.00013502266022410084,
660
+ "loss": 1.4217020988464355,
661
+ "step": 465
662
+ },
663
+ {
664
+ "epoch": 0.2315270935960591,
665
+ "grad_norm": 0.21829617023468018,
666
+ "learning_rate": 0.00013466200162459292,
667
+ "loss": 1.40992431640625,
668
+ "step": 470
669
+ },
670
+ {
671
+ "epoch": 0.23399014778325122,
672
+ "grad_norm": 0.21700215339660645,
673
+ "learning_rate": 0.00013429754599674968,
674
+ "loss": 1.4436223983764649,
675
+ "step": 475
676
+ },
677
+ {
678
+ "epoch": 0.23645320197044334,
679
+ "grad_norm": 0.19958427548408508,
680
+ "learning_rate": 0.0001339293165353737,
681
+ "loss": 1.4243131637573243,
682
+ "step": 480
683
+ },
684
+ {
685
+ "epoch": 0.23891625615763548,
686
+ "grad_norm": 0.2509094178676605,
687
+ "learning_rate": 0.00013355733667544303,
688
+ "loss": 1.4158190727233886,
689
+ "step": 485
690
+ },
691
+ {
692
+ "epoch": 0.2413793103448276,
693
+ "grad_norm": 0.20713144540786743,
694
+ "learning_rate": 0.00013318163009061977,
695
+ "loss": 1.4425319671630858,
696
+ "step": 490
697
+ },
698
+ {
699
+ "epoch": 0.2438423645320197,
700
+ "grad_norm": 0.17888081073760986,
701
+ "learning_rate": 0.00013280222069174348,
702
+ "loss": 1.437204360961914,
703
+ "step": 495
704
+ },
705
+ {
706
+ "epoch": 0.24630541871921183,
707
+ "grad_norm": 0.22022056579589844,
708
+ "learning_rate": 0.0001324191326253094,
709
+ "loss": 1.4549561500549317,
710
+ "step": 500
711
+ },
712
+ {
713
+ "epoch": 0.24876847290640394,
714
+ "grad_norm": 0.21922940015792847,
715
+ "learning_rate": 0.00013203239027193174,
716
+ "loss": 1.4171875,
717
+ "step": 505
718
+ },
719
+ {
720
+ "epoch": 0.2512315270935961,
721
+ "grad_norm": 0.19908225536346436,
722
+ "learning_rate": 0.00013164201824479197,
723
+ "loss": 1.3846515655517577,
724
+ "step": 510
725
+ },
726
+ {
727
+ "epoch": 0.2536945812807882,
728
+ "grad_norm": 0.2016427367925644,
729
+ "learning_rate": 0.00013124804138807248,
730
+ "loss": 1.4141998291015625,
731
+ "step": 515
732
+ },
733
+ {
734
+ "epoch": 0.2561576354679803,
735
+ "grad_norm": 0.2238454669713974,
736
+ "learning_rate": 0.00013085048477537531,
737
+ "loss": 1.4454143524169922,
738
+ "step": 520
739
+ },
740
+ {
741
+ "epoch": 0.25862068965517243,
742
+ "grad_norm": 0.22041630744934082,
743
+ "learning_rate": 0.00013044937370812655,
744
+ "loss": 1.3954301834106446,
745
+ "step": 525
746
+ },
747
+ {
748
+ "epoch": 0.26108374384236455,
749
+ "grad_norm": 0.2228841781616211,
750
+ "learning_rate": 0.00013004473371396603,
751
+ "loss": 1.3917302131652831,
752
+ "step": 530
753
+ },
754
+ {
755
+ "epoch": 0.26354679802955666,
756
+ "grad_norm": 0.21002982556819916,
757
+ "learning_rate": 0.00012963659054512265,
758
+ "loss": 1.4145011901855469,
759
+ "step": 535
760
+ },
761
+ {
762
+ "epoch": 0.2660098522167488,
763
+ "grad_norm": 0.18161620199680328,
764
+ "learning_rate": 0.0001292249701767755,
765
+ "loss": 1.439390277862549,
766
+ "step": 540
767
+ },
768
+ {
769
+ "epoch": 0.2684729064039409,
770
+ "grad_norm": 0.189104825258255,
771
+ "learning_rate": 0.00012880989880540068,
772
+ "loss": 1.4274805068969727,
773
+ "step": 545
774
+ },
775
+ {
776
+ "epoch": 0.270935960591133,
777
+ "grad_norm": 0.21180245280265808,
778
+ "learning_rate": 0.00012839140284710425,
779
+ "loss": 1.4168146133422852,
780
+ "step": 550
781
+ },
782
+ {
783
+ "epoch": 0.2733990147783251,
784
+ "grad_norm": 0.21424278616905212,
785
+ "learning_rate": 0.00012796950893594083,
786
+ "loss": 1.4109338760375976,
787
+ "step": 555
788
+ },
789
+ {
790
+ "epoch": 0.27586206896551724,
791
+ "grad_norm": 0.21506839990615845,
792
+ "learning_rate": 0.00012754424392221866,
793
+ "loss": 1.3610061645507812,
794
+ "step": 560
795
+ },
796
+ {
797
+ "epoch": 0.27832512315270935,
798
+ "grad_norm": 0.23869743943214417,
799
+ "learning_rate": 0.0001271156348707908,
800
+ "loss": 1.4243642807006835,
801
+ "step": 565
802
+ },
803
+ {
804
+ "epoch": 0.28078817733990147,
805
+ "grad_norm": 0.2110007107257843,
806
+ "learning_rate": 0.0001266837090593327,
807
+ "loss": 1.4199881553649902,
808
+ "step": 570
809
+ },
810
+ {
811
+ "epoch": 0.2832512315270936,
812
+ "grad_norm": 0.1898839771747589,
813
+ "learning_rate": 0.00012624849397660596,
814
+ "loss": 1.403303337097168,
815
+ "step": 575
816
+ },
817
+ {
818
+ "epoch": 0.2857142857142857,
819
+ "grad_norm": 0.26501619815826416,
820
+ "learning_rate": 0.0001258100173207092,
821
+ "loss": 1.3995702743530274,
822
+ "step": 580
823
+ },
824
+ {
825
+ "epoch": 0.2881773399014778,
826
+ "grad_norm": 0.2318245768547058,
827
+ "learning_rate": 0.00012536830699731502,
828
+ "loss": 1.4003644943237306,
829
+ "step": 585
830
+ },
831
+ {
832
+ "epoch": 0.29064039408866993,
833
+ "grad_norm": 0.1923232227563858,
834
+ "learning_rate": 0.00012492339111789424,
835
+ "loss": 1.4000411987304688,
836
+ "step": 590
837
+ },
838
+ {
839
+ "epoch": 0.29310344827586204,
840
+ "grad_norm": 0.24175603687763214,
841
+ "learning_rate": 0.0001244752979979266,
842
+ "loss": 1.4027944564819337,
843
+ "step": 595
844
+ },
845
+ {
846
+ "epoch": 0.2955665024630542,
847
+ "grad_norm": 0.2166663110256195,
848
+ "learning_rate": 0.00012402405615509886,
849
+ "loss": 1.3940664291381837,
850
+ "step": 600
851
+ },
852
+ {
853
+ "epoch": 0.29802955665024633,
854
+ "grad_norm": 0.20402714610099792,
855
+ "learning_rate": 0.0001235696943074898,
856
+ "loss": 1.430446243286133,
857
+ "step": 605
858
+ },
859
+ {
860
+ "epoch": 0.30049261083743845,
861
+ "grad_norm": 0.21095804870128632,
862
+ "learning_rate": 0.00012311224137174256,
863
+ "loss": 1.4028675079345703,
864
+ "step": 610
865
+ },
866
+ {
867
+ "epoch": 0.30295566502463056,
868
+ "grad_norm": 0.24699363112449646,
869
+ "learning_rate": 0.0001226517264612243,
870
+ "loss": 1.3896512985229492,
871
+ "step": 615
872
+ },
873
+ {
874
+ "epoch": 0.3054187192118227,
875
+ "grad_norm": 0.23743489384651184,
876
+ "learning_rate": 0.00012218817888417341,
877
+ "loss": 1.3832998275756836,
878
+ "step": 620
879
+ },
880
+ {
881
+ "epoch": 0.3078817733990148,
882
+ "grad_norm": 0.22747831046581268,
883
+ "learning_rate": 0.00012172162814183414,
884
+ "loss": 1.4147226333618164,
885
+ "step": 625
886
+ },
887
+ {
888
+ "epoch": 0.3103448275862069,
889
+ "grad_norm": 0.21350650489330292,
890
+ "learning_rate": 0.0001212521039265792,
891
+ "loss": 1.4063333511352538,
892
+ "step": 630
893
+ },
894
+ {
895
+ "epoch": 0.312807881773399,
896
+ "grad_norm": 0.231597900390625,
897
+ "learning_rate": 0.00012077963612002003,
898
+ "loss": 1.4085102081298828,
899
+ "step": 635
900
+ },
901
+ {
902
+ "epoch": 0.31527093596059114,
903
+ "grad_norm": 0.22213512659072876,
904
+ "learning_rate": 0.00012030425479110504,
905
+ "loss": 1.379136562347412,
906
+ "step": 640
907
+ },
908
+ {
909
+ "epoch": 0.31773399014778325,
910
+ "grad_norm": 0.21056486666202545,
911
+ "learning_rate": 0.00011982599019420594,
912
+ "loss": 1.3508719444274901,
913
+ "step": 645
914
+ },
915
+ {
916
+ "epoch": 0.32019704433497537,
917
+ "grad_norm": 0.24325105547904968,
918
+ "learning_rate": 0.00011934487276719238,
919
+ "loss": 1.4178260803222655,
920
+ "step": 650
921
+ },
922
+ {
923
+ "epoch": 0.3226600985221675,
924
+ "grad_norm": 0.23807983100414276,
925
+ "learning_rate": 0.00011886093312949469,
926
+ "loss": 1.3915666580200194,
927
+ "step": 655
928
+ },
929
+ {
930
+ "epoch": 0.3251231527093596,
931
+ "grad_norm": 0.20901484787464142,
932
+ "learning_rate": 0.00011837420208015526,
933
+ "loss": 1.3760847091674804,
934
+ "step": 660
935
+ },
936
+ {
937
+ "epoch": 0.3275862068965517,
938
+ "grad_norm": 0.19761306047439575,
939
+ "learning_rate": 0.00011788471059586839,
940
+ "loss": 1.4036226272583008,
941
+ "step": 665
942
+ },
943
+ {
944
+ "epoch": 0.33004926108374383,
945
+ "grad_norm": 0.250301718711853,
946
+ "learning_rate": 0.00011739248982900887,
947
+ "loss": 1.3270477294921874,
948
+ "step": 670
949
+ },
950
+ {
951
+ "epoch": 0.33251231527093594,
952
+ "grad_norm": 0.19960308074951172,
953
+ "learning_rate": 0.0001168975711056494,
954
+ "loss": 1.3685549736022948,
955
+ "step": 675
956
+ },
957
+ {
958
+ "epoch": 0.33497536945812806,
959
+ "grad_norm": 0.19794125854969025,
960
+ "learning_rate": 0.00011639998592356684,
961
+ "loss": 1.3679879188537598,
962
+ "step": 680
963
+ },
964
+ {
965
+ "epoch": 0.3374384236453202,
966
+ "grad_norm": 0.236933633685112,
967
+ "learning_rate": 0.00011589976595023777,
968
+ "loss": 1.3485721588134765,
969
+ "step": 685
970
+ },
971
+ {
972
+ "epoch": 0.3399014778325123,
973
+ "grad_norm": 0.23574577271938324,
974
+ "learning_rate": 0.00011539694302082288,
975
+ "loss": 1.3585886001586913,
976
+ "step": 690
977
+ },
978
+ {
979
+ "epoch": 0.34236453201970446,
980
+ "grad_norm": 0.24639375507831573,
981
+ "learning_rate": 0.00011489154913614111,
982
+ "loss": 1.3602943420410156,
983
+ "step": 695
984
+ },
985
+ {
986
+ "epoch": 0.3448275862068966,
987
+ "grad_norm": 0.2161063253879547,
988
+ "learning_rate": 0.00011438361646063298,
989
+ "loss": 1.3920618057250977,
990
+ "step": 700
991
+ },
992
+ {
993
+ "epoch": 0.3472906403940887,
994
+ "grad_norm": 0.23967303335666656,
995
+ "learning_rate": 0.00011387317732031346,
996
+ "loss": 1.323176097869873,
997
+ "step": 705
998
+ },
999
+ {
1000
+ "epoch": 0.3497536945812808,
1001
+ "grad_norm": 0.22842799127101898,
1002
+ "learning_rate": 0.00011336026420071491,
1003
+ "loss": 1.3453125,
1004
+ "step": 710
1005
+ },
1006
+ {
1007
+ "epoch": 0.3522167487684729,
1008
+ "grad_norm": 0.26447567343711853,
1009
+ "learning_rate": 0.00011284490974481929,
1010
+ "loss": 1.3231969833374024,
1011
+ "step": 715
1012
+ },
1013
+ {
1014
+ "epoch": 0.35467980295566504,
1015
+ "grad_norm": 0.19098453223705292,
1016
+ "learning_rate": 0.00011232714675098106,
1017
+ "loss": 1.3952215194702149,
1018
+ "step": 720
1019
+ },
1020
+ {
1021
+ "epoch": 0.35714285714285715,
1022
+ "grad_norm": 0.215730220079422,
1023
+ "learning_rate": 0.00011180700817083949,
1024
+ "loss": 1.4024740219116212,
1025
+ "step": 725
1026
+ },
1027
+ {
1028
+ "epoch": 0.35960591133004927,
1029
+ "grad_norm": 0.20249366760253906,
1030
+ "learning_rate": 0.00011128452710722171,
1031
+ "loss": 1.3558260917663574,
1032
+ "step": 730
1033
+ },
1034
+ {
1035
+ "epoch": 0.3620689655172414,
1036
+ "grad_norm": 0.21701344847679138,
1037
+ "learning_rate": 0.00011075973681203601,
1038
+ "loss": 1.4104610443115235,
1039
+ "step": 735
1040
+ },
1041
+ {
1042
+ "epoch": 0.3645320197044335,
1043
+ "grad_norm": 0.20061460137367249,
1044
+ "learning_rate": 0.00011023267068415545,
1045
+ "loss": 1.3634204864501953,
1046
+ "step": 740
1047
+ },
1048
+ {
1049
+ "epoch": 0.3669950738916256,
1050
+ "grad_norm": 0.2143600583076477,
1051
+ "learning_rate": 0.00010970336226729242,
1052
+ "loss": 1.3240375518798828,
1053
+ "step": 745
1054
+ },
1055
+ {
1056
+ "epoch": 0.3694581280788177,
1057
+ "grad_norm": 0.20612865686416626,
1058
+ "learning_rate": 0.00010917184524786377,
1059
+ "loss": 1.3753711700439453,
1060
+ "step": 750
1061
+ },
1062
+ {
1063
+ "epoch": 0.37192118226600984,
1064
+ "grad_norm": 0.2549595832824707,
1065
+ "learning_rate": 0.0001086381534528469,
1066
+ "loss": 1.3931709289550782,
1067
+ "step": 755
1068
+ },
1069
+ {
1070
+ "epoch": 0.37438423645320196,
1071
+ "grad_norm": 0.21721267700195312,
1072
+ "learning_rate": 0.0001081023208476271,
1073
+ "loss": 1.3496780395507812,
1074
+ "step": 760
1075
+ },
1076
+ {
1077
+ "epoch": 0.3768472906403941,
1078
+ "grad_norm": 0.20957210659980774,
1079
+ "learning_rate": 0.00010756438153383568,
1080
+ "loss": 1.3488155364990235,
1081
+ "step": 765
1082
+ },
1083
+ {
1084
+ "epoch": 0.3793103448275862,
1085
+ "grad_norm": 0.21333415806293488,
1086
+ "learning_rate": 0.00010702436974717984,
1087
+ "loss": 1.314176368713379,
1088
+ "step": 770
1089
+ },
1090
+ {
1091
+ "epoch": 0.3817733990147783,
1092
+ "grad_norm": 0.22144381701946259,
1093
+ "learning_rate": 0.00010648231985526371,
1094
+ "loss": 1.3665472984313964,
1095
+ "step": 775
1096
+ },
1097
+ {
1098
+ "epoch": 0.3842364532019704,
1099
+ "grad_norm": 0.22947055101394653,
1100
+ "learning_rate": 0.00010593826635540124,
1101
+ "loss": 1.3796130180358888,
1102
+ "step": 780
1103
+ },
1104
+ {
1105
+ "epoch": 0.3866995073891626,
1106
+ "grad_norm": 0.22103546559810638,
1107
+ "learning_rate": 0.00010539224387242056,
1108
+ "loss": 1.3775650024414063,
1109
+ "step": 785
1110
+ },
1111
+ {
1112
+ "epoch": 0.3891625615763547,
1113
+ "grad_norm": 0.2005070149898529,
1114
+ "learning_rate": 0.00010484428715646054,
1115
+ "loss": 1.3010364532470704,
1116
+ "step": 790
1117
+ },
1118
+ {
1119
+ "epoch": 0.3916256157635468,
1120
+ "grad_norm": 0.1832893341779709,
1121
+ "learning_rate": 0.00010429443108075909,
1122
+ "loss": 1.3438265800476075,
1123
+ "step": 795
1124
+ },
1125
+ {
1126
+ "epoch": 0.39408866995073893,
1127
+ "grad_norm": 0.23130114376544952,
1128
+ "learning_rate": 0.00010374271063943377,
1129
+ "loss": 1.3167936325073242,
1130
+ "step": 800
1131
+ },
1132
+ {
1133
+ "epoch": 0.39655172413793105,
1134
+ "grad_norm": 0.24008631706237793,
1135
+ "learning_rate": 0.0001031891609452547,
1136
+ "loss": 1.3509979248046875,
1137
+ "step": 805
1138
+ },
1139
+ {
1140
+ "epoch": 0.39901477832512317,
1141
+ "grad_norm": 0.22518666088581085,
1142
+ "learning_rate": 0.00010263381722740999,
1143
+ "loss": 1.3557344436645509,
1144
+ "step": 810
1145
+ },
1146
+ {
1147
+ "epoch": 0.4014778325123153,
1148
+ "grad_norm": 0.2309686541557312,
1149
+ "learning_rate": 0.00010207671482926341,
1150
+ "loss": 1.350716781616211,
1151
+ "step": 815
1152
+ },
1153
+ {
1154
+ "epoch": 0.4039408866995074,
1155
+ "grad_norm": 0.19502563774585724,
1156
+ "learning_rate": 0.00010151788920610539,
1157
+ "loss": 1.3548830986022948,
1158
+ "step": 820
1159
+ },
1160
+ {
1161
+ "epoch": 0.4064039408866995,
1162
+ "grad_norm": 0.21045354008674622,
1163
+ "learning_rate": 0.00010095737592289636,
1164
+ "loss": 1.3594703674316406,
1165
+ "step": 825
1166
+ },
1167
+ {
1168
+ "epoch": 0.4088669950738916,
1169
+ "grad_norm": 0.22062793374061584,
1170
+ "learning_rate": 0.00010039521065200324,
1171
+ "loss": 1.338469886779785,
1172
+ "step": 830
1173
+ },
1174
+ {
1175
+ "epoch": 0.41133004926108374,
1176
+ "grad_norm": 0.19777610898017883,
1177
+ "learning_rate": 9.983142917092945e-05,
1178
+ "loss": 1.3236379623413086,
1179
+ "step": 835
1180
+ },
1181
+ {
1182
+ "epoch": 0.41379310344827586,
1183
+ "grad_norm": 0.22311320900917053,
1184
+ "learning_rate": 9.926606736003767e-05,
1185
+ "loss": 1.3418456077575684,
1186
+ "step": 840
1187
+ },
1188
+ {
1189
+ "epoch": 0.41625615763546797,
1190
+ "grad_norm": 0.1984044313430786,
1191
+ "learning_rate": 9.869916120026651e-05,
1192
+ "loss": 1.3537532806396484,
1193
+ "step": 845
1194
+ },
1195
+ {
1196
+ "epoch": 0.4187192118226601,
1197
+ "grad_norm": 0.21143019199371338,
1198
+ "learning_rate": 9.813074677084046e-05,
1199
+ "loss": 1.3383522033691406,
1200
+ "step": 850
1201
+ },
1202
+ {
1203
+ "epoch": 0.4211822660098522,
1204
+ "grad_norm": 0.23575901985168457,
1205
+ "learning_rate": 9.756086024697383e-05,
1206
+ "loss": 1.3635971069335937,
1207
+ "step": 855
1208
+ },
1209
+ {
1210
+ "epoch": 0.4236453201970443,
1211
+ "grad_norm": 0.2878618836402893,
1212
+ "learning_rate": 9.698953789756844e-05,
1213
+ "loss": 1.4005340576171874,
1214
+ "step": 860
1215
+ },
1216
+ {
1217
+ "epoch": 0.42610837438423643,
1218
+ "grad_norm": 0.2632979154586792,
1219
+ "learning_rate": 9.641681608290539e-05,
1220
+ "loss": 1.3476665496826172,
1221
+ "step": 865
1222
+ },
1223
+ {
1224
+ "epoch": 0.42857142857142855,
1225
+ "grad_norm": 0.2310360074043274,
1226
+ "learning_rate": 9.584273125233097e-05,
1227
+ "loss": 1.3294408798217774,
1228
+ "step": 870
1229
+ },
1230
+ {
1231
+ "epoch": 0.43103448275862066,
1232
+ "grad_norm": 0.23508256673812866,
1233
+ "learning_rate": 9.526731994193695e-05,
1234
+ "loss": 1.34185733795166,
1235
+ "step": 875
1236
+ },
1237
+ {
1238
+ "epoch": 0.43349753694581283,
1239
+ "grad_norm": 0.21447646617889404,
1240
+ "learning_rate": 9.469061877223547e-05,
1241
+ "loss": 1.3190247535705566,
1242
+ "step": 880
1243
+ },
1244
+ {
1245
+ "epoch": 0.43596059113300495,
1246
+ "grad_norm": 0.24297568202018738,
1247
+ "learning_rate": 9.411266444582817e-05,
1248
+ "loss": 1.3310616493225098,
1249
+ "step": 885
1250
+ },
1251
+ {
1252
+ "epoch": 0.43842364532019706,
1253
+ "grad_norm": 0.22872385382652283,
1254
+ "learning_rate": 9.353349374507056e-05,
1255
+ "loss": 1.3593338966369628,
1256
+ "step": 890
1257
+ },
1258
+ {
1259
+ "epoch": 0.4408866995073892,
1260
+ "grad_norm": 0.22505290806293488,
1261
+ "learning_rate": 9.29531435297311e-05,
1262
+ "loss": 1.3543621063232423,
1263
+ "step": 895
1264
+ },
1265
+ {
1266
+ "epoch": 0.4433497536945813,
1267
+ "grad_norm": 0.2278539389371872,
1268
+ "learning_rate": 9.237165073464512e-05,
1269
+ "loss": 1.3401315689086915,
1270
+ "step": 900
1271
+ },
1272
+ {
1273
+ "epoch": 0.4458128078817734,
1274
+ "grad_norm": 0.2113586664199829,
1275
+ "learning_rate": 9.178905236736457e-05,
1276
+ "loss": 1.3289443969726562,
1277
+ "step": 905
1278
+ },
1279
+ {
1280
+ "epoch": 0.4482758620689655,
1281
+ "grad_norm": 0.2925296127796173,
1282
+ "learning_rate": 9.120538550580247e-05,
1283
+ "loss": 1.3231324195861816,
1284
+ "step": 910
1285
+ },
1286
+ {
1287
+ "epoch": 0.45073891625615764,
1288
+ "grad_norm": 0.19817602634429932,
1289
+ "learning_rate": 9.062068729587331e-05,
1290
+ "loss": 1.3819540023803711,
1291
+ "step": 915
1292
+ },
1293
+ {
1294
+ "epoch": 0.45320197044334976,
1295
+ "grad_norm": 0.2078256458044052,
1296
+ "learning_rate": 9.003499494912907e-05,
1297
+ "loss": 1.3268487930297852,
1298
+ "step": 920
1299
+ },
1300
+ {
1301
+ "epoch": 0.45566502463054187,
1302
+ "grad_norm": 0.23125478625297546,
1303
+ "learning_rate": 8.944834574039077e-05,
1304
+ "loss": 1.2976766586303712,
1305
+ "step": 925
1306
+ },
1307
+ {
1308
+ "epoch": 0.458128078817734,
1309
+ "grad_norm": 0.2297288328409195,
1310
+ "learning_rate": 8.886077700537644e-05,
1311
+ "loss": 1.295766830444336,
1312
+ "step": 930
1313
+ },
1314
+ {
1315
+ "epoch": 0.4605911330049261,
1316
+ "grad_norm": 0.20964743196964264,
1317
+ "learning_rate": 8.827232613832487e-05,
1318
+ "loss": 1.3288904190063477,
1319
+ "step": 935
1320
+ },
1321
+ {
1322
+ "epoch": 0.4630541871921182,
1323
+ "grad_norm": 0.20685701072216034,
1324
+ "learning_rate": 8.768303058961581e-05,
1325
+ "loss": 1.2745248794555664,
1326
+ "step": 940
1327
+ },
1328
+ {
1329
+ "epoch": 0.46551724137931033,
1330
+ "grad_norm": 0.23295199871063232,
1331
+ "learning_rate": 8.709292786338648e-05,
1332
+ "loss": 1.300822925567627,
1333
+ "step": 945
1334
+ },
1335
+ {
1336
+ "epoch": 0.46798029556650245,
1337
+ "grad_norm": 0.2697843611240387,
1338
+ "learning_rate": 8.650205551514475e-05,
1339
+ "loss": 1.3437896728515626,
1340
+ "step": 950
1341
+ },
1342
+ {
1343
+ "epoch": 0.47044334975369456,
1344
+ "grad_norm": 0.26048171520233154,
1345
+ "learning_rate": 8.591045114937903e-05,
1346
+ "loss": 1.2844138145446777,
1347
+ "step": 955
1348
+ },
1349
+ {
1350
+ "epoch": 0.4729064039408867,
1351
+ "grad_norm": 0.19388702511787415,
1352
+ "learning_rate": 8.531815241716503e-05,
1353
+ "loss": 1.3405949592590332,
1354
+ "step": 960
1355
+ },
1356
+ {
1357
+ "epoch": 0.4753694581280788,
1358
+ "grad_norm": 0.2128061205148697,
1359
+ "learning_rate": 8.472519701376958e-05,
1360
+ "loss": 1.3624204635620116,
1361
+ "step": 965
1362
+ },
1363
+ {
1364
+ "epoch": 0.47783251231527096,
1365
+ "grad_norm": 0.2112760990858078,
1366
+ "learning_rate": 8.413162267625154e-05,
1367
+ "loss": 1.3031497955322267,
1368
+ "step": 970
1369
+ },
1370
+ {
1371
+ "epoch": 0.4802955665024631,
1372
+ "grad_norm": 0.20936837792396545,
1373
+ "learning_rate": 8.353746718106016e-05,
1374
+ "loss": 1.3384126663208007,
1375
+ "step": 975
1376
+ },
1377
+ {
1378
+ "epoch": 0.4827586206896552,
1379
+ "grad_norm": 0.2166673243045807,
1380
+ "learning_rate": 8.294276834163105e-05,
1381
+ "loss": 1.2886722564697266,
1382
+ "step": 980
1383
+ },
1384
+ {
1385
+ "epoch": 0.4852216748768473,
1386
+ "grad_norm": 0.2544674575328827,
1387
+ "learning_rate": 8.234756400597928e-05,
1388
+ "loss": 1.309803581237793,
1389
+ "step": 985
1390
+ },
1391
+ {
1392
+ "epoch": 0.4876847290640394,
1393
+ "grad_norm": 0.25606396794319153,
1394
+ "learning_rate": 8.17518920542911e-05,
1395
+ "loss": 1.3331369400024413,
1396
+ "step": 990
1397
+ },
1398
+ {
1399
+ "epoch": 0.49014778325123154,
1400
+ "grad_norm": 0.25076860189437866,
1401
+ "learning_rate": 8.11557903965128e-05,
1402
+ "loss": 1.2805109024047852,
1403
+ "step": 995
1404
+ },
1405
+ {
1406
+ "epoch": 0.49261083743842365,
1407
+ "grad_norm": 0.2974901795387268,
1408
+ "learning_rate": 8.055929696993818e-05,
1409
+ "loss": 1.2993100166320801,
1410
+ "step": 1000
1411
+ },
1412
+ {
1413
+ "epoch": 0.49507389162561577,
1414
+ "grad_norm": 0.24903179705142975,
1415
+ "learning_rate": 7.996244973679417e-05,
1416
+ "loss": 1.3078741073608398,
1417
+ "step": 1005
1418
+ },
1419
+ {
1420
+ "epoch": 0.4975369458128079,
1421
+ "grad_norm": 0.23043100535869598,
1422
+ "learning_rate": 7.936528668182469e-05,
1423
+ "loss": 1.2467409133911134,
1424
+ "step": 1010
1425
+ },
1426
+ {
1427
+ "epoch": 0.5,
1428
+ "grad_norm": 0.21764904260635376,
1429
+ "learning_rate": 7.876784580987335e-05,
1430
+ "loss": 1.3044242858886719,
1431
+ "step": 1015
1432
+ },
1433
+ {
1434
+ "epoch": 0.5024630541871922,
1435
+ "grad_norm": 0.24756427109241486,
1436
+ "learning_rate": 7.817016514346469e-05,
1437
+ "loss": 1.2884490966796875,
1438
+ "step": 1020
1439
+ },
1440
+ {
1441
+ "epoch": 0.5049261083743842,
1442
+ "grad_norm": 0.21987412869930267,
1443
+ "learning_rate": 7.757228272038429e-05,
1444
+ "loss": 1.2775875091552735,
1445
+ "step": 1025
1446
+ },
1447
+ {
1448
+ "epoch": 0.5073891625615764,
1449
+ "grad_norm": 0.21271178126335144,
1450
+ "learning_rate": 7.6974236591258e-05,
1451
+ "loss": 1.253822135925293,
1452
+ "step": 1030
1453
+ },
1454
+ {
1455
+ "epoch": 0.5098522167487685,
1456
+ "grad_norm": 0.22218871116638184,
1457
+ "learning_rate": 7.637606481713033e-05,
1458
+ "loss": 1.3192794799804688,
1459
+ "step": 1035
1460
+ },
1461
+ {
1462
+ "epoch": 0.5123152709359606,
1463
+ "grad_norm": 0.21748924255371094,
1464
+ "learning_rate": 7.577780546704205e-05,
1465
+ "loss": 1.2793066024780273,
1466
+ "step": 1040
1467
+ },
1468
+ {
1469
+ "epoch": 0.5147783251231527,
1470
+ "grad_norm": 0.27152219414711,
1471
+ "learning_rate": 7.517949661560758e-05,
1472
+ "loss": 1.3064208984375,
1473
+ "step": 1045
1474
+ },
1475
+ {
1476
+ "epoch": 0.5172413793103449,
1477
+ "grad_norm": 0.2652308940887451,
1478
+ "learning_rate": 7.458117634059167e-05,
1479
+ "loss": 1.2768896102905274,
1480
+ "step": 1050
1481
+ },
1482
+ {
1483
+ "epoch": 0.5197044334975369,
1484
+ "grad_norm": 0.2394336760044098,
1485
+ "learning_rate": 7.398288272048605e-05,
1486
+ "loss": 1.3248939514160156,
1487
+ "step": 1055
1488
+ },
1489
+ {
1490
+ "epoch": 0.5221674876847291,
1491
+ "grad_norm": 0.21198320388793945,
1492
+ "learning_rate": 7.338465383208616e-05,
1493
+ "loss": 1.330735206604004,
1494
+ "step": 1060
1495
+ },
1496
+ {
1497
+ "epoch": 0.5246305418719212,
1498
+ "grad_norm": 0.22435452044010162,
1499
+ "learning_rate": 7.278652774806765e-05,
1500
+ "loss": 1.2982617378234864,
1501
+ "step": 1065
1502
+ },
1503
+ {
1504
+ "epoch": 0.5270935960591133,
1505
+ "grad_norm": 0.22276167571544647,
1506
+ "learning_rate": 7.218854253456357e-05,
1507
+ "loss": 1.3383667945861817,
1508
+ "step": 1070
1509
+ },
1510
+ {
1511
+ "epoch": 0.5295566502463054,
1512
+ "grad_norm": 0.21616998314857483,
1513
+ "learning_rate": 7.159073624874156e-05,
1514
+ "loss": 1.3443126678466797,
1515
+ "step": 1075
1516
+ },
1517
+ {
1518
+ "epoch": 0.5320197044334976,
1519
+ "grad_norm": 0.25767794251441956,
1520
+ "learning_rate": 7.099314693638197e-05,
1521
+ "loss": 1.346919059753418,
1522
+ "step": 1080
1523
+ },
1524
+ {
1525
+ "epoch": 0.5344827586206896,
1526
+ "grad_norm": 0.21083039045333862,
1527
+ "learning_rate": 7.039581262945641e-05,
1528
+ "loss": 1.2509237289428712,
1529
+ "step": 1085
1530
+ },
1531
+ {
1532
+ "epoch": 0.5369458128078818,
1533
+ "grad_norm": 0.2217107117176056,
1534
+ "learning_rate": 6.979877134370729e-05,
1535
+ "loss": 1.3491952896118165,
1536
+ "step": 1090
1537
+ },
1538
+ {
1539
+ "epoch": 0.5394088669950738,
1540
+ "grad_norm": 0.2276228666305542,
1541
+ "learning_rate": 6.920206107622857e-05,
1542
+ "loss": 1.3038724899291991,
1543
+ "step": 1095
1544
+ },
1545
+ {
1546
+ "epoch": 0.541871921182266,
1547
+ "grad_norm": 0.20058490335941315,
1548
+ "learning_rate": 6.860571980304739e-05,
1549
+ "loss": 1.2769588470458983,
1550
+ "step": 1100
1551
+ },
1552
+ {
1553
+ "epoch": 0.5443349753694581,
1554
+ "grad_norm": 0.2430969476699829,
1555
+ "learning_rate": 6.800978547670727e-05,
1556
+ "loss": 1.297713279724121,
1557
+ "step": 1105
1558
+ },
1559
+ {
1560
+ "epoch": 0.5467980295566502,
1561
+ "grad_norm": 0.20122674107551575,
1562
+ "learning_rate": 6.741429602385268e-05,
1563
+ "loss": 1.3468814849853517,
1564
+ "step": 1110
1565
+ },
1566
+ {
1567
+ "epoch": 0.5492610837438424,
1568
+ "grad_norm": 0.22891351580619812,
1569
+ "learning_rate": 6.681928934281521e-05,
1570
+ "loss": 1.3072088241577149,
1571
+ "step": 1115
1572
+ },
1573
+ {
1574
+ "epoch": 0.5517241379310345,
1575
+ "grad_norm": 0.22393646836280823,
1576
+ "learning_rate": 6.622480330120186e-05,
1577
+ "loss": 1.2663318634033203,
1578
+ "step": 1120
1579
+ },
1580
+ {
1581
+ "epoch": 0.5541871921182266,
1582
+ "grad_norm": 0.247694730758667,
1583
+ "learning_rate": 6.563087573348494e-05,
1584
+ "loss": 1.3064285278320313,
1585
+ "step": 1125
1586
+ },
1587
+ {
1588
+ "epoch": 0.5566502463054187,
1589
+ "grad_norm": 0.26341551542282104,
1590
+ "learning_rate": 6.503754443859403e-05,
1591
+ "loss": 1.311113166809082,
1592
+ "step": 1130
1593
+ },
1594
+ {
1595
+ "epoch": 0.5591133004926109,
1596
+ "grad_norm": 0.24816490709781647,
1597
+ "learning_rate": 6.44448471775107e-05,
1598
+ "loss": 1.2693605422973633,
1599
+ "step": 1135
1600
+ },
1601
+ {
1602
+ "epoch": 0.5615763546798029,
1603
+ "grad_norm": 0.2166696935892105,
1604
+ "learning_rate": 6.3852821670865e-05,
1605
+ "loss": 1.2208733558654785,
1606
+ "step": 1140
1607
+ },
1608
+ {
1609
+ "epoch": 0.5640394088669951,
1610
+ "grad_norm": 0.20724032819271088,
1611
+ "learning_rate": 6.326150559653502e-05,
1612
+ "loss": 1.2915777206420898,
1613
+ "step": 1145
1614
+ },
1615
+ {
1616
+ "epoch": 0.5665024630541872,
1617
+ "grad_norm": 0.23592734336853027,
1618
+ "learning_rate": 6.267093658724898e-05,
1619
+ "loss": 1.3022445678710937,
1620
+ "step": 1150
1621
+ },
1622
+ {
1623
+ "epoch": 0.5689655172413793,
1624
+ "grad_norm": 0.21348340809345245,
1625
+ "learning_rate": 6.208115222819005e-05,
1626
+ "loss": 1.2936946868896484,
1627
+ "step": 1155
1628
+ },
1629
+ {
1630
+ "epoch": 0.5714285714285714,
1631
+ "grad_norm": 0.22701257467269897,
1632
+ "learning_rate": 6.149219005460453e-05,
1633
+ "loss": 1.274067497253418,
1634
+ "step": 1160
1635
+ },
1636
+ {
1637
+ "epoch": 0.5738916256157636,
1638
+ "grad_norm": 0.2418663650751114,
1639
+ "learning_rate": 6.090408754941285e-05,
1640
+ "loss": 1.28143367767334,
1641
+ "step": 1165
1642
+ },
1643
+ {
1644
+ "epoch": 0.5763546798029556,
1645
+ "grad_norm": 0.2417578399181366,
1646
+ "learning_rate": 6.031688214082415e-05,
1647
+ "loss": 1.28759765625,
1648
+ "step": 1170
1649
+ },
1650
+ {
1651
+ "epoch": 0.5788177339901478,
1652
+ "grad_norm": 0.23263967037200928,
1653
+ "learning_rate": 5.973061119995434e-05,
1654
+ "loss": 1.3238054275512696,
1655
+ "step": 1175
1656
+ },
1657
+ {
1658
+ "epoch": 0.5812807881773399,
1659
+ "grad_norm": 0.21644318103790283,
1660
+ "learning_rate": 5.9145312038447575e-05,
1661
+ "loss": 1.2848752975463866,
1662
+ "step": 1180
1663
+ },
1664
+ {
1665
+ "epoch": 0.583743842364532,
1666
+ "grad_norm": 0.23622092604637146,
1667
+ "learning_rate": 5.8561021906101726e-05,
1668
+ "loss": 1.2801434516906738,
1669
+ "step": 1185
1670
+ },
1671
+ {
1672
+ "epoch": 0.5862068965517241,
1673
+ "grad_norm": 0.21884071826934814,
1674
+ "learning_rate": 5.7977777988497664e-05,
1675
+ "loss": 1.2974514007568358,
1676
+ "step": 1190
1677
+ },
1678
+ {
1679
+ "epoch": 0.5886699507389163,
1680
+ "grad_norm": 0.24541740119457245,
1681
+ "learning_rate": 5.7395617404632805e-05,
1682
+ "loss": 1.2843940734863282,
1683
+ "step": 1195
1684
+ },
1685
+ {
1686
+ "epoch": 0.5911330049261084,
1687
+ "grad_norm": 0.24113544821739197,
1688
+ "learning_rate": 5.68145772045586e-05,
1689
+ "loss": 1.3175272941589355,
1690
+ "step": 1200
1691
+ },
1692
+ {
1693
+ "epoch": 0.5935960591133005,
1694
+ "grad_norm": 0.24389614164829254,
1695
+ "learning_rate": 5.6234694367022773e-05,
1696
+ "loss": 1.2755836486816405,
1697
+ "step": 1205
1698
+ },
1699
+ {
1700
+ "epoch": 0.5960591133004927,
1701
+ "grad_norm": 0.23618771135807037,
1702
+ "learning_rate": 5.565600579711574e-05,
1703
+ "loss": 1.2963144302368164,
1704
+ "step": 1210
1705
+ },
1706
+ {
1707
+ "epoch": 0.5985221674876847,
1708
+ "grad_norm": 0.23990461230278015,
1709
+ "learning_rate": 5.507854832392192e-05,
1710
+ "loss": 1.3165901184082032,
1711
+ "step": 1215
1712
+ },
1713
+ {
1714
+ "epoch": 0.6009852216748769,
1715
+ "grad_norm": 0.2784763276576996,
1716
+ "learning_rate": 5.450235869817596e-05,
1717
+ "loss": 1.2695181846618653,
1718
+ "step": 1220
1719
+ },
1720
+ {
1721
+ "epoch": 0.603448275862069,
1722
+ "grad_norm": 0.1964227259159088,
1723
+ "learning_rate": 5.392747358992374e-05,
1724
+ "loss": 1.2765348434448243,
1725
+ "step": 1225
1726
+ },
1727
+ {
1728
+ "epoch": 0.6059113300492611,
1729
+ "grad_norm": 0.2433655858039856,
1730
+ "learning_rate": 5.335392958618855e-05,
1731
+ "loss": 1.3531946182250976,
1732
+ "step": 1230
1733
+ },
1734
+ {
1735
+ "epoch": 0.6083743842364532,
1736
+ "grad_norm": 0.18715134263038635,
1737
+ "learning_rate": 5.278176318864278e-05,
1738
+ "loss": 1.287767505645752,
1739
+ "step": 1235
1740
+ },
1741
+ {
1742
+ "epoch": 0.6108374384236454,
1743
+ "grad_norm": 0.2287338525056839,
1744
+ "learning_rate": 5.221101081128463e-05,
1745
+ "loss": 1.2737717628479004,
1746
+ "step": 1240
1747
+ },
1748
+ {
1749
+ "epoch": 0.6133004926108374,
1750
+ "grad_norm": 0.2689953148365021,
1751
+ "learning_rate": 5.1641708778120867e-05,
1752
+ "loss": 1.2990927696228027,
1753
+ "step": 1245
1754
+ },
1755
+ {
1756
+ "epoch": 0.6157635467980296,
1757
+ "grad_norm": 0.23197118937969208,
1758
+ "learning_rate": 5.1073893320854976e-05,
1759
+ "loss": 1.2827943801879882,
1760
+ "step": 1250
1761
+ },
1762
+ {
1763
+ "epoch": 0.6182266009852216,
1764
+ "grad_norm": 0.2240389734506607,
1765
+ "learning_rate": 5.050760057658125e-05,
1766
+ "loss": 1.3229182243347168,
1767
+ "step": 1255
1768
+ },
1769
+ {
1770
+ "epoch": 0.6206896551724138,
1771
+ "grad_norm": 0.2288672775030136,
1772
+ "learning_rate": 4.994286658548508e-05,
1773
+ "loss": 1.252695083618164,
1774
+ "step": 1260
1775
+ },
1776
+ {
1777
+ "epoch": 0.6231527093596059,
1778
+ "grad_norm": 0.24411918222904205,
1779
+ "learning_rate": 4.937972728854909e-05,
1780
+ "loss": 1.2915426254272462,
1781
+ "step": 1265
1782
+ },
1783
+ {
1784
+ "epoch": 0.625615763546798,
1785
+ "grad_norm": 0.24725782871246338,
1786
+ "learning_rate": 4.8818218525265895e-05,
1787
+ "loss": 1.317911720275879,
1788
+ "step": 1270
1789
+ },
1790
+ {
1791
+ "epoch": 0.6280788177339901,
1792
+ "grad_norm": 0.2176976054906845,
1793
+ "learning_rate": 4.825837603135718e-05,
1794
+ "loss": 1.269662094116211,
1795
+ "step": 1275
1796
+ },
1797
+ {
1798
+ "epoch": 0.6305418719211823,
1799
+ "grad_norm": 0.21912750601768494,
1800
+ "learning_rate": 4.77002354364994e-05,
1801
+ "loss": 1.2884700775146485,
1802
+ "step": 1280
1803
+ },
1804
+ {
1805
+ "epoch": 0.6330049261083743,
1806
+ "grad_norm": 0.26924338936805725,
1807
+ "learning_rate": 4.7143832262056166e-05,
1808
+ "loss": 1.2128746032714843,
1809
+ "step": 1285
1810
+ },
1811
+ {
1812
+ "epoch": 0.6354679802955665,
1813
+ "grad_norm": 0.2496652603149414,
1814
+ "learning_rate": 4.658920191881757e-05,
1815
+ "loss": 1.363164520263672,
1816
+ "step": 1290
1817
+ },
1818
+ {
1819
+ "epoch": 0.6379310344827587,
1820
+ "grad_norm": 0.2446102499961853,
1821
+ "learning_rate": 4.603637970474671e-05,
1822
+ "loss": 1.245234775543213,
1823
+ "step": 1295
1824
+ },
1825
+ {
1826
+ "epoch": 0.6403940886699507,
1827
+ "grad_norm": 0.25118279457092285,
1828
+ "learning_rate": 4.548540080273308e-05,
1829
+ "loss": 1.2631161689758301,
1830
+ "step": 1300
1831
+ },
1832
+ {
1833
+ "epoch": 0.6428571428571429,
1834
+ "grad_norm": 0.21729733049869537,
1835
+ "learning_rate": 4.493630027835356e-05,
1836
+ "loss": 1.2592344284057617,
1837
+ "step": 1305
1838
+ },
1839
+ {
1840
+ "epoch": 0.645320197044335,
1841
+ "grad_norm": 0.26334258913993835,
1842
+ "learning_rate": 4.4389113077640646e-05,
1843
+ "loss": 1.2242905616760253,
1844
+ "step": 1310
1845
+ },
1846
+ {
1847
+ "epoch": 0.6477832512315271,
1848
+ "grad_norm": 0.227190300822258,
1849
+ "learning_rate": 4.3843874024858524e-05,
1850
+ "loss": 1.2664241790771484,
1851
+ "step": 1315
1852
+ },
1853
+ {
1854
+ "epoch": 0.6502463054187192,
1855
+ "grad_norm": 0.23248690366744995,
1856
+ "learning_rate": 4.330061782028671e-05,
1857
+ "loss": 1.2610064506530763,
1858
+ "step": 1320
1859
+ },
1860
+ {
1861
+ "epoch": 0.6527093596059114,
1862
+ "grad_norm": 0.21380947530269623,
1863
+ "learning_rate": 4.2759379038011686e-05,
1864
+ "loss": 1.2617598533630372,
1865
+ "step": 1325
1866
+ },
1867
+ {
1868
+ "epoch": 0.6551724137931034,
1869
+ "grad_norm": 0.2660558223724365,
1870
+ "learning_rate": 4.222019212372644e-05,
1871
+ "loss": 1.226475143432617,
1872
+ "step": 1330
1873
+ },
1874
+ {
1875
+ "epoch": 0.6576354679802956,
1876
+ "grad_norm": 0.22776232659816742,
1877
+ "learning_rate": 4.168309139253834e-05,
1878
+ "loss": 1.237477684020996,
1879
+ "step": 1335
1880
+ },
1881
+ {
1882
+ "epoch": 0.6600985221674877,
1883
+ "grad_norm": 0.2977202832698822,
1884
+ "learning_rate": 4.114811102678523e-05,
1885
+ "loss": 1.2966550827026366,
1886
+ "step": 1340
1887
+ },
1888
+ {
1889
+ "epoch": 0.6625615763546798,
1890
+ "grad_norm": 0.23678140342235565,
1891
+ "learning_rate": 4.061528507385995e-05,
1892
+ "loss": 1.2590033531188964,
1893
+ "step": 1345
1894
+ },
1895
+ {
1896
+ "epoch": 0.6650246305418719,
1897
+ "grad_norm": 0.27373895049095154,
1898
+ "learning_rate": 4.0084647444043485e-05,
1899
+ "loss": 1.2824597358703613,
1900
+ "step": 1350
1901
+ },
1902
+ {
1903
+ "epoch": 0.6674876847290641,
1904
+ "grad_norm": 0.22791257500648499,
1905
+ "learning_rate": 3.955623190834697e-05,
1906
+ "loss": 1.1797836303710938,
1907
+ "step": 1355
1908
+ },
1909
+ {
1910
+ "epoch": 0.6699507389162561,
1911
+ "grad_norm": 0.3305644094944,
1912
+ "learning_rate": 3.903007209636215e-05,
1913
+ "loss": 1.2767440795898437,
1914
+ "step": 1360
1915
+ },
1916
+ {
1917
+ "epoch": 0.6724137931034483,
1918
+ "grad_norm": 0.24109555780887604,
1919
+ "learning_rate": 3.850620149412135e-05,
1920
+ "loss": 1.3337753295898438,
1921
+ "step": 1365
1922
+ },
1923
+ {
1924
+ "epoch": 0.6748768472906403,
1925
+ "grad_norm": 0.2364107072353363,
1926
+ "learning_rate": 3.798465344196631e-05,
1927
+ "loss": 1.2710576057434082,
1928
+ "step": 1370
1929
+ },
1930
+ {
1931
+ "epoch": 0.6773399014778325,
1932
+ "grad_norm": 0.271882027387619,
1933
+ "learning_rate": 3.7465461132426245e-05,
1934
+ "loss": 1.286097240447998,
1935
+ "step": 1375
1936
+ },
1937
+ {
1938
+ "epoch": 0.6798029556650246,
1939
+ "grad_norm": 0.2673625349998474,
1940
+ "learning_rate": 3.694865760810542e-05,
1941
+ "loss": 1.259279155731201,
1942
+ "step": 1380
1943
+ },
1944
+ {
1945
+ "epoch": 0.6822660098522167,
1946
+ "grad_norm": 0.262508749961853,
1947
+ "learning_rate": 3.643427575958031e-05,
1948
+ "loss": 1.2561509132385253,
1949
+ "step": 1385
1950
+ },
1951
+ {
1952
+ "epoch": 0.6847290640394089,
1953
+ "grad_norm": 0.20407506823539734,
1954
+ "learning_rate": 3.592234832330628e-05,
1955
+ "loss": 1.2327983856201172,
1956
+ "step": 1390
1957
+ },
1958
+ {
1959
+ "epoch": 0.687192118226601,
1960
+ "grad_norm": 0.2393566519021988,
1961
+ "learning_rate": 3.54129078795342e-05,
1962
+ "loss": 1.2643770217895507,
1963
+ "step": 1395
1964
+ },
1965
+ {
1966
+ "epoch": 0.6896551724137931,
1967
+ "grad_norm": 0.2600564658641815,
1968
+ "learning_rate": 3.490598685023701e-05,
1969
+ "loss": 1.339667510986328,
1970
+ "step": 1400
1971
+ },
1972
+ {
1973
+ "epoch": 0.6921182266009852,
1974
+ "grad_norm": 0.23139071464538574,
1975
+ "learning_rate": 3.440161749704623e-05,
1976
+ "loss": 1.2579167366027832,
1977
+ "step": 1405
1978
+ },
1979
+ {
1980
+ "epoch": 0.6945812807881774,
1981
+ "grad_norm": 0.24983708560466766,
1982
+ "learning_rate": 3.389983191919872e-05,
1983
+ "loss": 1.3015851974487305,
1984
+ "step": 1410
1985
+ },
1986
+ {
1987
+ "epoch": 0.6970443349753694,
1988
+ "grad_norm": 0.21438054740428925,
1989
+ "learning_rate": 3.340066205149401e-05,
1990
+ "loss": 1.2945125579833985,
1991
+ "step": 1415
1992
+ },
1993
+ {
1994
+ "epoch": 0.6995073891625616,
1995
+ "grad_norm": 0.2539718449115753,
1996
+ "learning_rate": 3.2904139662261664e-05,
1997
+ "loss": 1.2290349006652832,
1998
+ "step": 1420
1999
+ },
2000
+ {
2001
+ "epoch": 0.7019704433497537,
2002
+ "grad_norm": 0.2936062216758728,
2003
+ "learning_rate": 3.241029635133957e-05,
2004
+ "loss": 1.2282495498657227,
2005
+ "step": 1425
2006
+ },
2007
+ {
2008
+ "epoch": 0.7044334975369458,
2009
+ "grad_norm": 0.23874711990356445,
2010
+ "learning_rate": 3.191916354806297e-05,
2011
+ "loss": 1.2566828727722168,
2012
+ "step": 1430
2013
+ },
2014
+ {
2015
+ "epoch": 0.7068965517241379,
2016
+ "grad_norm": 0.2245590090751648,
2017
+ "learning_rate": 3.143077250926391e-05,
2018
+ "loss": 1.2410771369934082,
2019
+ "step": 1435
2020
+ },
2021
+ {
2022
+ "epoch": 0.7093596059113301,
2023
+ "grad_norm": 0.26783260703086853,
2024
+ "learning_rate": 3.0945154317282297e-05,
2025
+ "loss": 1.2264184951782227,
2026
+ "step": 1440
2027
+ },
2028
+ {
2029
+ "epoch": 0.7118226600985221,
2030
+ "grad_norm": 0.2439153492450714,
2031
+ "learning_rate": 3.0462339877987666e-05,
2032
+ "loss": 1.3033985137939452,
2033
+ "step": 1445
2034
+ },
2035
+ {
2036
+ "epoch": 0.7142857142857143,
2037
+ "grad_norm": 0.25006458163261414,
2038
+ "learning_rate": 2.9982359918812136e-05,
2039
+ "loss": 1.2718771934509276,
2040
+ "step": 1450
2041
+ },
2042
+ {
2043
+ "epoch": 0.7167487684729064,
2044
+ "grad_norm": 0.23204629123210907,
2045
+ "learning_rate": 2.9505244986794946e-05,
2046
+ "loss": 1.2503164291381836,
2047
+ "step": 1455
2048
+ },
2049
+ {
2050
+ "epoch": 0.7192118226600985,
2051
+ "grad_norm": 0.26418495178222656,
2052
+ "learning_rate": 2.9031025446638375e-05,
2053
+ "loss": 1.2460610389709472,
2054
+ "step": 1460
2055
+ },
2056
+ {
2057
+ "epoch": 0.7216748768472906,
2058
+ "grad_norm": 0.22843700647354126,
2059
+ "learning_rate": 2.8559731478775218e-05,
2060
+ "loss": 1.2206365585327148,
2061
+ "step": 1465
2062
+ },
2063
+ {
2064
+ "epoch": 0.7241379310344828,
2065
+ "grad_norm": 0.25052499771118164,
2066
+ "learning_rate": 2.8091393077448082e-05,
2067
+ "loss": 1.2625818252563477,
2068
+ "step": 1470
2069
+ },
2070
+ {
2071
+ "epoch": 0.7266009852216748,
2072
+ "grad_norm": 0.23987461626529694,
2073
+ "learning_rate": 2.7626040048800403e-05,
2074
+ "loss": 1.2096717834472657,
2075
+ "step": 1475
2076
+ },
2077
+ {
2078
+ "epoch": 0.729064039408867,
2079
+ "grad_norm": 0.21900923550128937,
2080
+ "learning_rate": 2.716370200897969e-05,
2081
+ "loss": 1.2399868011474608,
2082
+ "step": 1480
2083
+ },
2084
+ {
2085
+ "epoch": 0.7315270935960592,
2086
+ "grad_norm": 0.27598026394844055,
2087
+ "learning_rate": 2.6704408382252362e-05,
2088
+ "loss": 1.2283302307128907,
2089
+ "step": 1485
2090
+ },
2091
+ {
2092
+ "epoch": 0.7339901477832512,
2093
+ "grad_norm": 0.23923085629940033,
2094
+ "learning_rate": 2.624818839913151e-05,
2095
+ "loss": 1.341434860229492,
2096
+ "step": 1490
2097
+ },
2098
+ {
2099
+ "epoch": 0.7364532019704434,
2100
+ "grad_norm": 0.23537442088127136,
2101
+ "learning_rate": 2.579507109451632e-05,
2102
+ "loss": 1.280338668823242,
2103
+ "step": 1495
2104
+ },
2105
+ {
2106
+ "epoch": 0.7389162561576355,
2107
+ "grad_norm": 0.28500378131866455,
2108
+ "learning_rate": 2.534508530584431e-05,
2109
+ "loss": 1.305718994140625,
2110
+ "step": 1500
2111
+ },
2112
+ {
2113
+ "epoch": 0.7413793103448276,
2114
+ "grad_norm": 0.2542401850223541,
2115
+ "learning_rate": 2.489825967125607e-05,
2116
+ "loss": 1.1917360305786133,
2117
+ "step": 1505
2118
+ },
2119
+ {
2120
+ "epoch": 0.7438423645320197,
2121
+ "grad_norm": 0.23925921320915222,
2122
+ "learning_rate": 2.4454622627772636e-05,
2123
+ "loss": 1.2214764595031737,
2124
+ "step": 1510
2125
+ },
2126
+ {
2127
+ "epoch": 0.7463054187192119,
2128
+ "grad_norm": 0.2583833634853363,
2129
+ "learning_rate": 2.401420240948571e-05,
2130
+ "loss": 1.242533016204834,
2131
+ "step": 1515
2132
+ },
2133
+ {
2134
+ "epoch": 0.7487684729064039,
2135
+ "grad_norm": 0.2212097942829132,
2136
+ "learning_rate": 2.3577027045760727e-05,
2137
+ "loss": 1.3234115600585938,
2138
+ "step": 1520
2139
+ },
2140
+ {
2141
+ "epoch": 0.7512315270935961,
2142
+ "grad_norm": 0.26380887627601624,
2143
+ "learning_rate": 2.3143124359453137e-05,
2144
+ "loss": 1.252053451538086,
2145
+ "step": 1525
2146
+ },
2147
+ {
2148
+ "epoch": 0.7536945812807881,
2149
+ "grad_norm": 0.2283976823091507,
2150
+ "learning_rate": 2.271252196513752e-05,
2151
+ "loss": 1.249081802368164,
2152
+ "step": 1530
2153
+ },
2154
+ {
2155
+ "epoch": 0.7561576354679803,
2156
+ "grad_norm": 0.2376411408185959,
2157
+ "learning_rate": 2.2285247267350212e-05,
2158
+ "loss": 1.2989398956298828,
2159
+ "step": 1535
2160
+ },
2161
+ {
2162
+ "epoch": 0.7586206896551724,
2163
+ "grad_norm": 0.2347487211227417,
2164
+ "learning_rate": 2.1861327458845253e-05,
2165
+ "loss": 1.2198263168334962,
2166
+ "step": 1540
2167
+ },
2168
+ {
2169
+ "epoch": 0.7610837438423645,
2170
+ "grad_norm": 0.2686555087566376,
2171
+ "learning_rate": 2.1440789518863706e-05,
2172
+ "loss": 1.2571537017822265,
2173
+ "step": 1545
2174
+ },
2175
+ {
2176
+ "epoch": 0.7635467980295566,
2177
+ "grad_norm": 0.24728627502918243,
2178
+ "learning_rate": 2.1023660211416653e-05,
2179
+ "loss": 1.2556602478027343,
2180
+ "step": 1550
2181
+ },
2182
+ {
2183
+ "epoch": 0.7660098522167488,
2184
+ "grad_norm": 0.2575431168079376,
2185
+ "learning_rate": 2.0609966083581987e-05,
2186
+ "loss": 1.2640047073364258,
2187
+ "step": 1555
2188
+ },
2189
+ {
2190
+ "epoch": 0.7684729064039408,
2191
+ "grad_norm": 0.21967598795890808,
2192
+ "learning_rate": 2.019973346381464e-05,
2193
+ "loss": 1.2949155807495116,
2194
+ "step": 1560
2195
+ },
2196
+ {
2197
+ "epoch": 0.770935960591133,
2198
+ "grad_norm": 0.25700730085372925,
2199
+ "learning_rate": 1.9792988460271214e-05,
2200
+ "loss": 1.283220100402832,
2201
+ "step": 1565
2202
+ },
2203
+ {
2204
+ "epoch": 0.7733990147783252,
2205
+ "grad_norm": 0.24390947818756104,
2206
+ "learning_rate": 1.9389756959148357e-05,
2207
+ "loss": 1.2551408767700196,
2208
+ "step": 1570
2209
+ },
2210
+ {
2211
+ "epoch": 0.7758620689655172,
2212
+ "grad_norm": 0.27307766675949097,
2213
+ "learning_rate": 1.8990064623035204e-05,
2214
+ "loss": 1.2660499572753907,
2215
+ "step": 1575
2216
+ },
2217
+ {
2218
+ "epoch": 0.7783251231527094,
2219
+ "grad_norm": 0.238468199968338,
2220
+ "learning_rate": 1.85939368892802e-05,
2221
+ "loss": 1.2559860229492188,
2222
+ "step": 1580
2223
+ },
2224
+ {
2225
+ "epoch": 0.7807881773399015,
2226
+ "grad_norm": 0.2351454347372055,
2227
+ "learning_rate": 1.8201398968372256e-05,
2228
+ "loss": 1.210586166381836,
2229
+ "step": 1585
2230
+ },
2231
+ {
2232
+ "epoch": 0.7832512315270936,
2233
+ "grad_norm": 0.2293718159198761,
2234
+ "learning_rate": 1.7812475842336242e-05,
2235
+ "loss": 1.253939437866211,
2236
+ "step": 1590
2237
+ },
2238
+ {
2239
+ "epoch": 0.7857142857142857,
2240
+ "grad_norm": 0.25299587845802307,
2241
+ "learning_rate": 1.7427192263143056e-05,
2242
+ "loss": 1.2384809494018554,
2243
+ "step": 1595
2244
+ },
2245
+ {
2246
+ "epoch": 0.7881773399014779,
2247
+ "grad_norm": 0.19808216392993927,
2248
+ "learning_rate": 1.7045572751134464e-05,
2249
+ "loss": 1.2435653686523438,
2250
+ "step": 1600
2251
+ },
2252
+ {
2253
+ "epoch": 0.7906403940886699,
2254
+ "grad_norm": 0.24835017323493958,
2255
+ "learning_rate": 1.6667641593462442e-05,
2256
+ "loss": 1.2406715393066405,
2257
+ "step": 1605
2258
+ },
2259
+ {
2260
+ "epoch": 0.7931034482758621,
2261
+ "grad_norm": 0.2713432312011719,
2262
+ "learning_rate": 1.629342284254346e-05,
2263
+ "loss": 1.2658330917358398,
2264
+ "step": 1610
2265
+ },
2266
+ {
2267
+ "epoch": 0.7955665024630542,
2268
+ "grad_norm": 0.236631378531456,
2269
+ "learning_rate": 1.5922940314527923e-05,
2270
+ "loss": 1.239140510559082,
2271
+ "step": 1615
2272
+ },
2273
+ {
2274
+ "epoch": 0.7980295566502463,
2275
+ "grad_norm": 0.2512910068035126,
2276
+ "learning_rate": 1.5556217587784272e-05,
2277
+ "loss": 1.2621894836425782,
2278
+ "step": 1620
2279
+ },
2280
+ {
2281
+ "epoch": 0.8004926108374384,
2282
+ "grad_norm": 0.258465975522995,
2283
+ "learning_rate": 1.5193278001398454e-05,
2284
+ "loss": 1.2158693313598632,
2285
+ "step": 1625
2286
+ },
2287
+ {
2288
+ "epoch": 0.8029556650246306,
2289
+ "grad_norm": 0.22228635847568512,
2290
+ "learning_rate": 1.4834144653688601e-05,
2291
+ "loss": 1.1974903106689454,
2292
+ "step": 1630
2293
+ },
2294
+ {
2295
+ "epoch": 0.8054187192118226,
2296
+ "grad_norm": 0.23385341465473175,
2297
+ "learning_rate": 1.4478840400734967e-05,
2298
+ "loss": 1.1803974151611327,
2299
+ "step": 1635
2300
+ },
2301
+ {
2302
+ "epoch": 0.8078817733990148,
2303
+ "grad_norm": 0.24148158729076385,
2304
+ "learning_rate": 1.4127387854925315e-05,
2305
+ "loss": 1.2340662002563476,
2306
+ "step": 1640
2307
+ },
2308
+ {
2309
+ "epoch": 0.8103448275862069,
2310
+ "grad_norm": 0.26258596777915955,
2311
+ "learning_rate": 1.3779809383515866e-05,
2312
+ "loss": 1.2787314414978028,
2313
+ "step": 1645
2314
+ },
2315
+ {
2316
+ "epoch": 0.812807881773399,
2317
+ "grad_norm": 0.23182962834835052,
2318
+ "learning_rate": 1.3436127107207709e-05,
2319
+ "loss": 1.2892789840698242,
2320
+ "step": 1650
2321
+ },
2322
+ {
2323
+ "epoch": 0.8152709359605911,
2324
+ "grad_norm": 0.25138214230537415,
2325
+ "learning_rate": 1.3096362898738988e-05,
2326
+ "loss": 1.2018814086914062,
2327
+ "step": 1655
2328
+ },
2329
+ {
2330
+ "epoch": 0.8177339901477833,
2331
+ "grad_norm": 0.2587434649467468,
2332
+ "learning_rate": 1.2760538381493004e-05,
2333
+ "loss": 1.2567611694335938,
2334
+ "step": 1660
2335
+ },
2336
+ {
2337
+ "epoch": 0.8201970443349754,
2338
+ "grad_norm": 0.24641695618629456,
2339
+ "learning_rate": 1.2428674928121899e-05,
2340
+ "loss": 1.2686907768249511,
2341
+ "step": 1665
2342
+ },
2343
+ {
2344
+ "epoch": 0.8226600985221675,
2345
+ "grad_norm": 0.22543184459209442,
2346
+ "learning_rate": 1.2100793659186527e-05,
2347
+ "loss": 1.1918268203735352,
2348
+ "step": 1670
2349
+ },
2350
+ {
2351
+ "epoch": 0.8251231527093597,
2352
+ "grad_norm": 0.23715642094612122,
2353
+ "learning_rate": 1.177691544181227e-05,
2354
+ "loss": 1.2081964492797852,
2355
+ "step": 1675
2356
+ },
2357
+ {
2358
+ "epoch": 0.8275862068965517,
2359
+ "grad_norm": 0.20962002873420715,
2360
+ "learning_rate": 1.1457060888361028e-05,
2361
+ "loss": 1.2116300582885742,
2362
+ "step": 1680
2363
+ },
2364
+ {
2365
+ "epoch": 0.8300492610837439,
2366
+ "grad_norm": 0.21805016696453094,
2367
+ "learning_rate": 1.1141250355119347e-05,
2368
+ "loss": 1.2473871231079101,
2369
+ "step": 1685
2370
+ },
2371
+ {
2372
+ "epoch": 0.8325123152709359,
2373
+ "grad_norm": 0.2535460293292999,
2374
+ "learning_rate": 1.0829503941003001e-05,
2375
+ "loss": 1.2010614395141601,
2376
+ "step": 1690
2377
+ },
2378
+ {
2379
+ "epoch": 0.8349753694581281,
2380
+ "grad_norm": 0.2526600956916809,
2381
+ "learning_rate": 1.0521841486277738e-05,
2382
+ "loss": 1.2784499168395995,
2383
+ "step": 1695
2384
+ },
2385
+ {
2386
+ "epoch": 0.8374384236453202,
2387
+ "grad_norm": 0.22173699736595154,
2388
+ "learning_rate": 1.0218282571296637e-05,
2389
+ "loss": 1.2362339973449707,
2390
+ "step": 1700
2391
+ },
2392
+ {
2393
+ "epoch": 0.8399014778325123,
2394
+ "grad_norm": 0.29041486978530884,
2395
+ "learning_rate": 9.918846515254011e-06,
2396
+ "loss": 1.2847709655761719,
2397
+ "step": 1705
2398
+ },
2399
+ {
2400
+ "epoch": 0.8423645320197044,
2401
+ "grad_norm": 0.261730819940567,
2402
+ "learning_rate": 9.623552374955842e-06,
2403
+ "loss": 1.2652846336364747,
2404
+ "step": 1710
2405
+ },
2406
+ {
2407
+ "epoch": 0.8448275862068966,
2408
+ "grad_norm": 0.30616867542266846,
2409
+ "learning_rate": 9.332418943606965e-06,
2410
+ "loss": 1.2111236572265625,
2411
+ "step": 1715
2412
+ },
2413
+ {
2414
+ "epoch": 0.8472906403940886,
2415
+ "grad_norm": 0.22861535847187042,
2416
+ "learning_rate": 9.045464749615027e-06,
2417
+ "loss": 1.247592067718506,
2418
+ "step": 1720
2419
+ },
2420
+ {
2421
+ "epoch": 0.8497536945812808,
2422
+ "grad_norm": 0.28312185406684875,
2423
+ "learning_rate": 8.762708055411383e-06,
2424
+ "loss": 1.231865406036377,
2425
+ "step": 1725
2426
+ },
2427
+ {
2428
+ "epoch": 0.8522167487684729,
2429
+ "grad_norm": 0.23308123648166656,
2430
+ "learning_rate": 8.484166856288635e-06,
2431
+ "loss": 1.2434009552001952,
2432
+ "step": 1730
2433
+ },
2434
+ {
2435
+ "epoch": 0.854679802955665,
2436
+ "grad_norm": 0.2353149652481079,
2437
+ "learning_rate": 8.209858879255545e-06,
2438
+ "loss": 1.2786510467529297,
2439
+ "step": 1735
2440
+ },
2441
+ {
2442
+ "epoch": 0.8571428571428571,
2443
+ "grad_norm": 0.21151383221149445,
2444
+ "learning_rate": 7.939801581908834e-06,
2445
+ "loss": 1.2421545028686523,
2446
+ "step": 1740
2447
+ },
2448
+ {
2449
+ "epoch": 0.8596059113300493,
2450
+ "grad_norm": 0.2373751699924469,
2451
+ "learning_rate": 7.67401215132202e-06,
2452
+ "loss": 1.2191984176635742,
2453
+ "step": 1745
2454
+ },
2455
+ {
2456
+ "epoch": 0.8620689655172413,
2457
+ "grad_norm": 0.21754534542560577,
2458
+ "learning_rate": 7.412507502951717e-06,
2459
+ "loss": 1.2775027275085449,
2460
+ "step": 1750
2461
+ },
2462
+ {
2463
+ "epoch": 0.8645320197044335,
2464
+ "grad_norm": 0.25160351395606995,
2465
+ "learning_rate": 7.155304279561033e-06,
2466
+ "loss": 1.189585304260254,
2467
+ "step": 1755
2468
+ },
2469
+ {
2470
+ "epoch": 0.8669950738916257,
2471
+ "grad_norm": 0.2518729567527771,
2472
+ "learning_rate": 6.902418850160399e-06,
2473
+ "loss": 1.1966890335083007,
2474
+ "step": 1760
2475
+ },
2476
+ {
2477
+ "epoch": 0.8694581280788177,
2478
+ "grad_norm": 0.21244123578071594,
2479
+ "learning_rate": 6.653867308965799e-06,
2480
+ "loss": 1.2111897468566895,
2481
+ "step": 1765
2482
+ },
2483
+ {
2484
+ "epoch": 0.8719211822660099,
2485
+ "grad_norm": 0.2451592981815338,
2486
+ "learning_rate": 6.4096654743745424e-06,
2487
+ "loss": 1.2103561401367187,
2488
+ "step": 1770
2489
+ },
2490
+ {
2491
+ "epoch": 0.874384236453202,
2492
+ "grad_norm": 0.27943119406700134,
2493
+ "learning_rate": 6.1698288879585085e-06,
2494
+ "loss": 1.2733654022216796,
2495
+ "step": 1775
2496
+ },
2497
+ {
2498
+ "epoch": 0.8768472906403941,
2499
+ "grad_norm": 0.21996136009693146,
2500
+ "learning_rate": 5.934372813474963e-06,
2501
+ "loss": 1.2440560340881348,
2502
+ "step": 1780
2503
+ },
2504
+ {
2505
+ "epoch": 0.8793103448275862,
2506
+ "grad_norm": 0.2190336436033249,
2507
+ "learning_rate": 5.70331223589533e-06,
2508
+ "loss": 1.2366500854492188,
2509
+ "step": 1785
2510
+ },
2511
+ {
2512
+ "epoch": 0.8817733990147784,
2513
+ "grad_norm": 0.22338411211967468,
2514
+ "learning_rate": 5.4766618604513395e-06,
2515
+ "loss": 1.2069709777832032,
2516
+ "step": 1790
2517
+ },
2518
+ {
2519
+ "epoch": 0.8842364532019704,
2520
+ "grad_norm": 0.2502281963825226,
2521
+ "learning_rate": 5.2544361116992175e-06,
2522
+ "loss": 1.2337852478027345,
2523
+ "step": 1795
2524
+ },
2525
+ {
2526
+ "epoch": 0.8866995073891626,
2527
+ "grad_norm": 0.2651473581790924,
2528
+ "learning_rate": 5.036649132601722e-06,
2529
+ "loss": 1.2154728889465332,
2530
+ "step": 1800
2531
+ },
2532
+ {
2533
+ "epoch": 0.8891625615763546,
2534
+ "grad_norm": 0.2430681437253952,
2535
+ "learning_rate": 4.823314783627927e-06,
2536
+ "loss": 1.2741308212280273,
2537
+ "step": 1805
2538
+ },
2539
+ {
2540
+ "epoch": 0.8916256157635468,
2541
+ "grad_norm": 0.20495837926864624,
2542
+ "learning_rate": 4.6144466418712305e-06,
2543
+ "loss": 1.2369997024536132,
2544
+ "step": 1810
2545
+ },
2546
+ {
2547
+ "epoch": 0.8940886699507389,
2548
+ "grad_norm": 0.25070708990097046,
2549
+ "learning_rate": 4.410058000185243e-06,
2550
+ "loss": 1.2604141235351562,
2551
+ "step": 1815
2552
+ },
2553
+ {
2554
+ "epoch": 0.896551724137931,
2555
+ "grad_norm": 0.2330113798379898,
2556
+ "learning_rate": 4.210161866337752e-06,
2557
+ "loss": 1.2419015884399414,
2558
+ "step": 1820
2559
+ },
2560
+ {
2561
+ "epoch": 0.8990147783251231,
2562
+ "grad_norm": 0.2585564851760864,
2563
+ "learning_rate": 4.014770962182945e-06,
2564
+ "loss": 1.2229095458984376,
2565
+ "step": 1825
2566
+ },
2567
+ {
2568
+ "epoch": 0.9014778325123153,
2569
+ "grad_norm": 0.2556352913379669,
2570
+ "learning_rate": 3.823897722851696e-06,
2571
+ "loss": 1.2521157264709473,
2572
+ "step": 1830
2573
+ },
2574
+ {
2575
+ "epoch": 0.9039408866995073,
2576
+ "grad_norm": 0.2235206812620163,
2577
+ "learning_rate": 3.637554295960235e-06,
2578
+ "loss": 1.2267001152038575,
2579
+ "step": 1835
2580
+ },
2581
+ {
2582
+ "epoch": 0.9064039408866995,
2583
+ "grad_norm": 0.24141712486743927,
2584
+ "learning_rate": 3.4557525408369645e-06,
2585
+ "loss": 1.2922637939453125,
2586
+ "step": 1840
2587
+ },
2588
+ {
2589
+ "epoch": 0.9088669950738916,
2590
+ "grad_norm": 0.24639971554279327,
2591
+ "learning_rate": 3.278504027767814e-06,
2592
+ "loss": 1.2198986053466796,
2593
+ "step": 1845
2594
+ },
2595
+ {
2596
+ "epoch": 0.9113300492610837,
2597
+ "grad_norm": 0.30096888542175293,
2598
+ "learning_rate": 3.1058200372597542e-06,
2599
+ "loss": 1.260652732849121,
2600
+ "step": 1850
2601
+ },
2602
+ {
2603
+ "epoch": 0.9137931034482759,
2604
+ "grad_norm": 0.19956085085868835,
2605
+ "learning_rate": 2.937711559322953e-06,
2606
+ "loss": 1.2672597885131835,
2607
+ "step": 1855
2608
+ },
2609
+ {
2610
+ "epoch": 0.916256157635468,
2611
+ "grad_norm": 0.2193523645401001,
2612
+ "learning_rate": 2.7741892927713617e-06,
2613
+ "loss": 1.2428022384643556,
2614
+ "step": 1860
2615
+ },
2616
+ {
2617
+ "epoch": 0.9187192118226601,
2618
+ "grad_norm": 0.22981801629066467,
2619
+ "learning_rate": 2.6152636445417513e-06,
2620
+ "loss": 1.2323244094848633,
2621
+ "step": 1865
2622
+ },
2623
+ {
2624
+ "epoch": 0.9211822660098522,
2625
+ "grad_norm": 0.20749390125274658,
2626
+ "learning_rate": 2.46094472903145e-06,
2627
+ "loss": 1.2612208366394042,
2628
+ "step": 1870
2629
+ },
2630
+ {
2631
+ "epoch": 0.9236453201970444,
2632
+ "grad_norm": 0.2641940116882324,
2633
+ "learning_rate": 2.3112423674546242e-06,
2634
+ "loss": 1.167129898071289,
2635
+ "step": 1875
2636
+ },
2637
+ {
2638
+ "epoch": 0.9261083743842364,
2639
+ "grad_norm": 0.24970325827598572,
2640
+ "learning_rate": 2.166166087217197e-06,
2641
+ "loss": 1.2519586563110352,
2642
+ "step": 1880
2643
+ },
2644
+ {
2645
+ "epoch": 0.9285714285714286,
2646
+ "grad_norm": 0.250540167093277,
2647
+ "learning_rate": 2.0257251213105645e-06,
2648
+ "loss": 1.2368090629577637,
2649
+ "step": 1885
2650
+ },
2651
+ {
2652
+ "epoch": 0.9310344827586207,
2653
+ "grad_norm": 0.25144103169441223,
2654
+ "learning_rate": 1.8899284077239257e-06,
2655
+ "loss": 1.2359929084777832,
2656
+ "step": 1890
2657
+ },
2658
+ {
2659
+ "epoch": 0.9334975369458128,
2660
+ "grad_norm": 0.23775865137577057,
2661
+ "learning_rate": 1.7587845888755032e-06,
2662
+ "loss": 1.2116907119750977,
2663
+ "step": 1895
2664
+ },
2665
+ {
2666
+ "epoch": 0.9359605911330049,
2667
+ "grad_norm": 0.3029141426086426,
2668
+ "learning_rate": 1.6323020110624835e-06,
2669
+ "loss": 1.2756942749023437,
2670
+ "step": 1900
2671
+ },
2672
+ {
2673
+ "epoch": 0.9384236453201971,
2674
+ "grad_norm": 0.23481281101703644,
2675
+ "learning_rate": 1.5104887239298425e-06,
2676
+ "loss": 1.274601364135742,
2677
+ "step": 1905
2678
+ },
2679
+ {
2680
+ "epoch": 0.9408866995073891,
2681
+ "grad_norm": 0.2863881587982178,
2682
+ "learning_rate": 1.3933524799580542e-06,
2683
+ "loss": 1.2304944038391112,
2684
+ "step": 1910
2685
+ },
2686
+ {
2687
+ "epoch": 0.9433497536945813,
2688
+ "grad_norm": 0.2509642541408539,
2689
+ "learning_rate": 1.2809007339697114e-06,
2690
+ "loss": 1.2000990867614747,
2691
+ "step": 1915
2692
+ },
2693
+ {
2694
+ "epoch": 0.9458128078817734,
2695
+ "grad_norm": 0.24525979161262512,
2696
+ "learning_rate": 1.1731406426550628e-06,
2697
+ "loss": 1.242922878265381,
2698
+ "step": 1920
2699
+ },
2700
+ {
2701
+ "epoch": 0.9482758620689655,
2702
+ "grad_norm": 0.2376176118850708,
2703
+ "learning_rate": 1.0700790641166023e-06,
2704
+ "loss": 1.271295166015625,
2705
+ "step": 1925
2706
+ },
2707
+ {
2708
+ "epoch": 0.9507389162561576,
2709
+ "grad_norm": 0.2372656762599945,
2710
+ "learning_rate": 9.71722557432486e-07,
2711
+ "loss": 1.243540382385254,
2712
+ "step": 1930
2713
+ },
2714
+ {
2715
+ "epoch": 0.9532019704433498,
2716
+ "grad_norm": 0.23170247673988342,
2717
+ "learning_rate": 8.780773822392229e-07,
2718
+ "loss": 1.2256221771240234,
2719
+ "step": 1935
2720
+ },
2721
+ {
2722
+ "epoch": 0.9556650246305419,
2723
+ "grad_norm": 0.23671060800552368,
2724
+ "learning_rate": 7.891494983332525e-07,
2725
+ "loss": 1.1968117713928224,
2726
+ "step": 1940
2727
+ },
2728
+ {
2729
+ "epoch": 0.958128078817734,
2730
+ "grad_norm": 0.23950909078121185,
2731
+ "learning_rate": 7.049445652915986e-07,
2732
+ "loss": 1.2302292823791503,
2733
+ "step": 1945
2734
+ },
2735
+ {
2736
+ "epoch": 0.9605911330049262,
2737
+ "grad_norm": 0.22995109856128693,
2738
+ "learning_rate": 6.254679421117487e-07,
2739
+ "loss": 1.2180012702941894,
2740
+ "step": 1950
2741
+ },
2742
+ {
2743
+ "epoch": 0.9630541871921182,
2744
+ "grad_norm": 0.22918790578842163,
2745
+ "learning_rate": 5.507246868705851e-07,
2746
+ "loss": 1.2474028587341308,
2747
+ "step": 1955
2748
+ },
2749
+ {
2750
+ "epoch": 0.9655172413793104,
2751
+ "grad_norm": 0.25687795877456665,
2752
+ "learning_rate": 4.80719556402434e-07,
2753
+ "loss": 1.2379139900207519,
2754
+ "step": 1960
2755
+ },
2756
+ {
2757
+ "epoch": 0.9679802955665024,
2758
+ "grad_norm": 0.22696813941001892,
2759
+ "learning_rate": 4.154570059963752e-07,
2760
+ "loss": 1.2781574249267578,
2761
+ "step": 1965
2762
+ },
2763
+ {
2764
+ "epoch": 0.9704433497536946,
2765
+ "grad_norm": 0.2369939386844635,
2766
+ "learning_rate": 3.5494118911266745e-07,
2767
+ "loss": 1.277975082397461,
2768
+ "step": 1970
2769
+ },
2770
+ {
2771
+ "epoch": 0.9729064039408867,
2772
+ "grad_norm": 0.21082457900047302,
2773
+ "learning_rate": 2.99175957118436e-07,
2774
+ "loss": 1.2537274360656738,
2775
+ "step": 1975
2776
+ },
2777
+ {
2778
+ "epoch": 0.9753694581280788,
2779
+ "grad_norm": 0.24875393509864807,
2780
+ "learning_rate": 2.4816485904255167e-07,
2781
+ "loss": 1.2338659286499023,
2782
+ "step": 1980
2783
+ },
2784
+ {
2785
+ "epoch": 0.9778325123152709,
2786
+ "grad_norm": 0.21517492830753326,
2787
+ "learning_rate": 2.0191114134975316e-07,
2788
+ "loss": 1.2391672134399414,
2789
+ "step": 1985
2790
+ },
2791
+ {
2792
+ "epoch": 0.9802955665024631,
2793
+ "grad_norm": 0.24385160207748413,
2794
+ "learning_rate": 1.604177477340457e-07,
2795
+ "loss": 1.2772870063781738,
2796
+ "step": 1990
2797
+ },
2798
+ {
2799
+ "epoch": 0.9827586206896551,
2800
+ "grad_norm": 0.24616920948028564,
2801
+ "learning_rate": 1.2368731893136752e-07,
2802
+ "loss": 1.245918083190918,
2803
+ "step": 1995
2804
+ },
2805
+ {
2806
+ "epoch": 0.9852216748768473,
2807
+ "grad_norm": 0.31482505798339844,
2808
+ "learning_rate": 9.172219255149937e-08,
2809
+ "loss": 1.2193574905395508,
2810
+ "step": 2000
2811
+ },
2812
+ {
2813
+ "epoch": 0.9876847290640394,
2814
+ "grad_norm": 0.20566366612911224,
2815
+ "learning_rate": 6.452440292931682e-08,
2816
+ "loss": 1.1942904472351075,
2817
+ "step": 2005
2818
+ },
2819
+ {
2820
+ "epoch": 0.9901477832512315,
2821
+ "grad_norm": 0.3087645173072815,
2822
+ "learning_rate": 4.2095680995310464e-08,
2823
+ "loss": 1.190518569946289,
2824
+ "step": 2010
2825
+ },
2826
+ {
2827
+ "epoch": 0.9926108374384236,
2828
+ "grad_norm": 0.27292242646217346,
2829
+ "learning_rate": 2.443745416543241e-08,
2830
+ "loss": 1.2792659759521485,
2831
+ "step": 2015
2832
+ },
2833
+ {
2834
+ "epoch": 0.9950738916256158,
2835
+ "grad_norm": 0.21285434067249298,
2836
+ "learning_rate": 1.1550846250252265e-08,
2837
+ "loss": 1.2324320793151855,
2838
+ "step": 2020
2839
+ },
2840
+ {
2841
+ "epoch": 0.9975369458128078,
2842
+ "grad_norm": 0.2532356381416321,
2843
+ "learning_rate": 3.4366773834143547e-09,
2844
+ "loss": 1.2427490234375,
2845
+ "step": 2025
2846
+ },
2847
+ {
2848
+ "epoch": 1.0,
2849
+ "grad_norm": 0.24805334210395813,
2850
+ "learning_rate": 9.546396946280566e-11,
2851
+ "loss": 1.2228047370910644,
2852
+ "step": 2030
2853
+ }
2854
+ ],
2855
+ "logging_steps": 5,
2856
+ "max_steps": 2030,
2857
+ "num_input_tokens_seen": 0,
2858
+ "num_train_epochs": 1,
2859
+ "save_steps": 500,
2860
+ "stateful_callbacks": {
2861
+ "TrainerControl": {
2862
+ "args": {
2863
+ "should_epoch_stop": false,
2864
+ "should_evaluate": false,
2865
+ "should_log": false,
2866
+ "should_save": true,
2867
+ "should_training_stop": true
2868
+ },
2869
+ "attributes": {}
2870
+ }
2871
+ },
2872
+ "total_flos": 1.9519558621383885e+17,
2873
+ "train_batch_size": 1,
2874
+ "trial_name": null,
2875
+ "trial_params": null
2876
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d8a957de182ebbfda687a47c9460145e0a0c0ea4888eb9f12cbd0081ea2b02b
3
+ size 5905