RayDu0010 commited on
Commit
d3265d8
·
verified ·
1 Parent(s): 74538fc

Upload folder using huggingface_hub

Browse files
136_128_e3_3e-5/adapter_config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "ibm-granite/granite-3.3-8b-instruct",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 256,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.05,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 128,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "up_proj",
28
+ "v_proj",
29
+ "o_proj",
30
+ "down_proj",
31
+ "k_proj",
32
+ "gate_proj",
33
+ "q_proj"
34
+ ],
35
+ "task_type": "CAUSAL_LM",
36
+ "trainable_token_indices": null,
37
+ "use_dora": false,
38
+ "use_rslora": false
39
+ }
136_128_e3_3e-5/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:35ffda86604865506ff855ccf7fc11236300aef2f16c4cfa02817271e983aebf
3
+ size 791751704
136_128_e3_3e-5/added_tokens.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "<|end_of_cite|>": 49156,
3
+ "<|end_of_plugin|>": 49158,
4
+ "<|end_of_role|>": 49153,
5
+ "<|start_of_cite|>": 49155,
6
+ "<|start_of_plugin|>": 49157,
7
+ "<|start_of_role|>": 49152,
8
+ "<|tool_call|>": 49154
9
+ }
136_128_e3_3e-5/all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 2.0550851304557117e+18,
4
+ "train_loss": 0.3431719825186919,
5
+ "train_runtime": 983.7331,
6
+ "train_samples": 16347,
7
+ "train_samples_per_second": 49.852,
8
+ "train_steps_per_second": 1.558
9
+ }
136_128_e3_3e-5/chat_template.jinja ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {# Alias tools -> available_tools #}
2
+ {%- if tools and not available_tools -%}
3
+ {%- set available_tools = tools -%}
4
+ {%- endif -%}
5
+ {%- if messages[0]['role'] == 'system' %}
6
+ {%- set system_message = messages[0]['content'] %}
7
+ {%- set loop_messages = messages[1:] %}
8
+ {%- else %}
9
+ {%- set system_message = "Knowledge Cutoff Date: April 2024.
10
+ Today's Date: " + strftime_now('%B %d, %Y') + ".
11
+ You are Granite, developed by IBM." %}
12
+ {%- if available_tools and documents %}
13
+ {%- set system_message = system_message + " You are a helpful assistant with access to the following tools. When a tool is required to answer the user's query, respond only with <|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.
14
+ Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data." %}
15
+ {%- elif available_tools %}
16
+ {%- set system_message = system_message + " You are a helpful assistant with access to the following tools. When a tool is required to answer the user's query, respond only with <|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request." %}
17
+ {%- elif documents %}
18
+ {%- set system_message = system_message + " Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data." %}
19
+ {%- elif thinking %}
20
+ {%- set system_message = system_message + " You are a helpful AI assistant.
21
+ Respond to every user query in a comprehensive and detailed way. You can write down your thoughts and reasoning process before responding. In the thought process, engage in a comprehensive cycle of analysis, summarization, exploration, reassessment, reflection, backtracing, and iteration to develop well-considered thinking process. In the response section, based on various attempts, explorations, and reflections from the thoughts section, systematically present the final solution that you deem correct. The response should summarize the thought process. Write your thoughts between <think></think> and write your response between <response></response> for each user query." %}
22
+ {%- else %}
23
+ {%- set system_message = system_message + " You are a helpful AI assistant." %}
24
+ {%- endif %}
25
+ {%- if 'citations' in controls and documents %}
26
+ {%- set system_message = system_message + '
27
+ Use the symbols <|start_of_cite|> and <|end_of_cite|> to indicate when a fact comes from a document in the search result, e.g <|start_of_cite|> {document_id: 1}my fact <|end_of_cite|> for a fact from document 1. Afterwards, list all the citations with their corresponding documents in an ordered list.' %}
28
+ {%- endif %}
29
+ {%- if 'hallucinations' in controls and documents %}
30
+ {%- set system_message = system_message + '
31
+ Finally, after the response is written, include a numbered list of sentences from the response with a corresponding risk value that are hallucinated and not based in the documents.' %}
32
+ {%- endif %}
33
+ {%- set loop_messages = messages %}
34
+ {%- endif %}
35
+ {{- '<|start_of_role|>system<|end_of_role|>' + system_message + '<|end_of_text|>
36
+ ' }}
37
+ {%- if available_tools %}
38
+ {{- '<|start_of_role|>available_tools<|end_of_role|>' }}
39
+ {{- available_tools | tojson(indent=4) }}
40
+ {{- '<|end_of_text|>
41
+ ' }}
42
+ {%- endif %}
43
+ {%- if documents %}
44
+ {%- for document in documents %}
45
+ {{- '<|start_of_role|>document {"document_id": "' + document['doc_id'] | string + '"}<|end_of_role|>
46
+ ' }}
47
+ {{- document['text'] }}
48
+ {{- '<|end_of_text|>
49
+ ' }}
50
+ {%- endfor %}
51
+ {%- endif %}
52
+ {%- for message in loop_messages %}
53
+ {{- '<|start_of_role|>' + message['role'] + '<|end_of_role|>' + message['content'] + '<|end_of_text|>
54
+ ' }}
55
+ {%- if loop.last and add_generation_prompt %}
56
+ {{- '<|start_of_role|>assistant' }}
57
+ {%- if controls %}
58
+ {{- ' ' + controls | tojson()}}
59
+ {%- endif %}
60
+ {{- '<|end_of_role|>' }}
61
+ {%- endif %}
62
+ {%- endfor %}
136_128_e3_3e-5/config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "GraniteForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attention_multiplier": 0.0078125,
8
+ "bos_token_id": 0,
9
+ "embedding_multiplier": 12.0,
10
+ "eos_token_id": 0,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 4096,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 12800,
15
+ "logits_scaling": 16.0,
16
+ "max_position_embeddings": 131072,
17
+ "mlp_bias": false,
18
+ "model_type": "granite",
19
+ "num_attention_heads": 32,
20
+ "num_hidden_layers": 40,
21
+ "num_key_value_heads": 8,
22
+ "pad_token_id": 0,
23
+ "residual_multiplier": 0.22,
24
+ "rms_norm_eps": 1e-05,
25
+ "rope_scaling": null,
26
+ "rope_theta": 10000000.0,
27
+ "tie_word_embeddings": true,
28
+ "torch_dtype": "bfloat16",
29
+ "transformers_version": "4.52.4",
30
+ "use_cache": true,
31
+ "vocab_size": 49159
32
+ }
136_128_e3_3e-5/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
136_128_e3_3e-5/special_tokens_map.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|start_of_role|>",
4
+ "<|end_of_role|>",
5
+ "<|tool_call|>",
6
+ "<|start_of_cite|>",
7
+ "<|end_of_cite|>",
8
+ "<|start_of_plugin|>",
9
+ "<|end_of_plugin|>"
10
+ ],
11
+ "bos_token": {
12
+ "content": "<|end_of_text|>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false
17
+ },
18
+ "eos_token": {
19
+ "content": "<|end_of_text|>",
20
+ "lstrip": false,
21
+ "normalized": false,
22
+ "rstrip": false,
23
+ "single_word": false
24
+ },
25
+ "pad_token": "<|end_of_plugin|>",
26
+ "unk_token": {
27
+ "content": "<|end_of_text|>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ }
33
+ }
136_128_e3_3e-5/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
136_128_e3_3e-5/tokenizer_config.json ADDED
@@ -0,0 +1,234 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<|end_of_text|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<fim_prefix>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<fim_middle>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<fim_suffix>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "4": {
38
+ "content": "<fim_pad>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "5": {
46
+ "content": "<filename>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "6": {
54
+ "content": "<gh_stars>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "7": {
62
+ "content": "<issue_start>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "8": {
70
+ "content": "<issue_comment>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "9": {
78
+ "content": "<issue_closed>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "10": {
86
+ "content": "<jupyter_start>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "11": {
94
+ "content": "<jupyter_text>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "12": {
102
+ "content": "<jupyter_code>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "13": {
110
+ "content": "<jupyter_output>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "14": {
118
+ "content": "<empty_output>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": true
124
+ },
125
+ "15": {
126
+ "content": "<commit_before>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": true
132
+ },
133
+ "16": {
134
+ "content": "<commit_msg>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": true
140
+ },
141
+ "17": {
142
+ "content": "<commit_after>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": true
148
+ },
149
+ "18": {
150
+ "content": "<reponame>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": true
156
+ },
157
+ "49152": {
158
+ "content": "<|start_of_role|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": true
164
+ },
165
+ "49153": {
166
+ "content": "<|end_of_role|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": true
172
+ },
173
+ "49154": {
174
+ "content": "<|tool_call|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": true
180
+ },
181
+ "49155": {
182
+ "content": "<|start_of_cite|>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": true
188
+ },
189
+ "49156": {
190
+ "content": "<|end_of_cite|>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": true
196
+ },
197
+ "49157": {
198
+ "content": "<|start_of_plugin|>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": true
204
+ },
205
+ "49158": {
206
+ "content": "<|end_of_plugin|>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": true
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|start_of_role|>",
216
+ "<|end_of_role|>",
217
+ "<|tool_call|>",
218
+ "<|start_of_cite|>",
219
+ "<|end_of_cite|>",
220
+ "<|start_of_plugin|>",
221
+ "<|end_of_plugin|>"
222
+ ],
223
+ "bos_token": "<|end_of_text|>",
224
+ "clean_up_tokenization_spaces": true,
225
+ "eos_token": "<|end_of_text|>",
226
+ "errors": "replace",
227
+ "extra_special_tokens": {},
228
+ "model_max_length": 8192,
229
+ "pad_token": "<|end_of_plugin|>",
230
+ "padding_side": "left",
231
+ "tokenizer_class": "GPT2Tokenizer",
232
+ "unk_token": "<|end_of_text|>",
233
+ "vocab_size": 49152
234
+ }
136_128_e3_3e-5/train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 2.0550851304557117e+18,
4
+ "train_loss": 0.3431719825186919,
5
+ "train_runtime": 983.7331,
6
+ "train_samples": 16347,
7
+ "train_samples_per_second": 49.852,
8
+ "train_steps_per_second": 1.558
9
+ }
136_128_e3_3e-5/trainer_state.json ADDED
@@ -0,0 +1,2185 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.0,
6
+ "eval_steps": 500,
7
+ "global_step": 1533,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.009784735812133072,
14
+ "grad_norm": 2.357011079788208,
15
+ "learning_rate": 1.5584415584415587e-06,
16
+ "loss": 1.5533,
17
+ "step": 5
18
+ },
19
+ {
20
+ "epoch": 0.019569471624266144,
21
+ "grad_norm": 1.8989530801773071,
22
+ "learning_rate": 3.5064935064935066e-06,
23
+ "loss": 1.4827,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.029354207436399216,
28
+ "grad_norm": 1.1365606784820557,
29
+ "learning_rate": 5.4545454545454545e-06,
30
+ "loss": 1.4367,
31
+ "step": 15
32
+ },
33
+ {
34
+ "epoch": 0.03913894324853229,
35
+ "grad_norm": 0.6406207084655762,
36
+ "learning_rate": 7.402597402597403e-06,
37
+ "loss": 1.3748,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.04892367906066536,
42
+ "grad_norm": 0.5725207328796387,
43
+ "learning_rate": 9.35064935064935e-06,
44
+ "loss": 1.349,
45
+ "step": 25
46
+ },
47
+ {
48
+ "epoch": 0.05870841487279843,
49
+ "grad_norm": 0.43812453746795654,
50
+ "learning_rate": 1.12987012987013e-05,
51
+ "loss": 1.3655,
52
+ "step": 30
53
+ },
54
+ {
55
+ "epoch": 0.0684931506849315,
56
+ "grad_norm": 0.39907610416412354,
57
+ "learning_rate": 1.3246753246753247e-05,
58
+ "loss": 1.3333,
59
+ "step": 35
60
+ },
61
+ {
62
+ "epoch": 0.07827788649706457,
63
+ "grad_norm": 0.5294650197029114,
64
+ "learning_rate": 1.5194805194805194e-05,
65
+ "loss": 1.2902,
66
+ "step": 40
67
+ },
68
+ {
69
+ "epoch": 0.08806262230919765,
70
+ "grad_norm": 0.3841898739337921,
71
+ "learning_rate": 1.7142857142857142e-05,
72
+ "loss": 1.3133,
73
+ "step": 45
74
+ },
75
+ {
76
+ "epoch": 0.09784735812133072,
77
+ "grad_norm": 0.42246174812316895,
78
+ "learning_rate": 1.909090909090909e-05,
79
+ "loss": 1.2572,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.10763209393346379,
84
+ "grad_norm": 0.5118032693862915,
85
+ "learning_rate": 2.103896103896104e-05,
86
+ "loss": 1.2707,
87
+ "step": 55
88
+ },
89
+ {
90
+ "epoch": 0.11741682974559686,
91
+ "grad_norm": 0.3847714960575104,
92
+ "learning_rate": 2.298701298701299e-05,
93
+ "loss": 1.2148,
94
+ "step": 60
95
+ },
96
+ {
97
+ "epoch": 0.12720156555772993,
98
+ "grad_norm": 0.4106954336166382,
99
+ "learning_rate": 2.493506493506494e-05,
100
+ "loss": 1.2517,
101
+ "step": 65
102
+ },
103
+ {
104
+ "epoch": 0.136986301369863,
105
+ "grad_norm": 0.44203218817710876,
106
+ "learning_rate": 2.6883116883116883e-05,
107
+ "loss": 1.2317,
108
+ "step": 70
109
+ },
110
+ {
111
+ "epoch": 0.14677103718199608,
112
+ "grad_norm": 0.434898316860199,
113
+ "learning_rate": 2.8831168831168832e-05,
114
+ "loss": 1.2063,
115
+ "step": 75
116
+ },
117
+ {
118
+ "epoch": 0.15655577299412915,
119
+ "grad_norm": 0.44484278559684753,
120
+ "learning_rate": 2.999986033178712e-05,
121
+ "loss": 1.2038,
122
+ "step": 80
123
+ },
124
+ {
125
+ "epoch": 0.16634050880626222,
126
+ "grad_norm": 0.542182981967926,
127
+ "learning_rate": 2.999828909426247e-05,
128
+ "loss": 1.2007,
129
+ "step": 85
130
+ },
131
+ {
132
+ "epoch": 0.1761252446183953,
133
+ "grad_norm": 0.5208318829536438,
134
+ "learning_rate": 2.9994972217431796e-05,
135
+ "loss": 1.1604,
136
+ "step": 90
137
+ },
138
+ {
139
+ "epoch": 0.18590998043052837,
140
+ "grad_norm": 0.45145025849342346,
141
+ "learning_rate": 2.9989910087343828e-05,
142
+ "loss": 1.0982,
143
+ "step": 95
144
+ },
145
+ {
146
+ "epoch": 0.19569471624266144,
147
+ "grad_norm": 0.4416584074497223,
148
+ "learning_rate": 2.998310329317599e-05,
149
+ "loss": 1.1221,
150
+ "step": 100
151
+ },
152
+ {
153
+ "epoch": 0.2054794520547945,
154
+ "grad_norm": 0.5566976070404053,
155
+ "learning_rate": 2.997455262716581e-05,
156
+ "loss": 1.0932,
157
+ "step": 105
158
+ },
159
+ {
160
+ "epoch": 0.21526418786692758,
161
+ "grad_norm": 0.5525748133659363,
162
+ "learning_rate": 2.9964259084518718e-05,
163
+ "loss": 1.0812,
164
+ "step": 110
165
+ },
166
+ {
167
+ "epoch": 0.22504892367906065,
168
+ "grad_norm": 0.5754551291465759,
169
+ "learning_rate": 2.995222386329219e-05,
170
+ "loss": 1.0515,
171
+ "step": 115
172
+ },
173
+ {
174
+ "epoch": 0.23483365949119372,
175
+ "grad_norm": 0.5301942825317383,
176
+ "learning_rate": 2.9938448364256364e-05,
177
+ "loss": 1.0605,
178
+ "step": 120
179
+ },
180
+ {
181
+ "epoch": 0.2446183953033268,
182
+ "grad_norm": 0.6082203388214111,
183
+ "learning_rate": 2.992293419073095e-05,
184
+ "loss": 1.0602,
185
+ "step": 125
186
+ },
187
+ {
188
+ "epoch": 0.25440313111545987,
189
+ "grad_norm": 0.5788697600364685,
190
+ "learning_rate": 2.9905683148398642e-05,
191
+ "loss": 1.0093,
192
+ "step": 130
193
+ },
194
+ {
195
+ "epoch": 0.26418786692759294,
196
+ "grad_norm": 0.5942112803459167,
197
+ "learning_rate": 2.9886697245094958e-05,
198
+ "loss": 0.9631,
199
+ "step": 135
200
+ },
201
+ {
202
+ "epoch": 0.273972602739726,
203
+ "grad_norm": 0.6265203356742859,
204
+ "learning_rate": 2.9865978690574552e-05,
205
+ "loss": 0.9768,
206
+ "step": 140
207
+ },
208
+ {
209
+ "epoch": 0.2837573385518591,
210
+ "grad_norm": 0.6244428753852844,
211
+ "learning_rate": 2.9843529896254007e-05,
212
+ "loss": 0.9517,
213
+ "step": 145
214
+ },
215
+ {
216
+ "epoch": 0.29354207436399216,
217
+ "grad_norm": 0.6594113707542419,
218
+ "learning_rate": 2.98193534749312e-05,
219
+ "loss": 0.975,
220
+ "step": 150
221
+ },
222
+ {
223
+ "epoch": 0.30332681017612523,
224
+ "grad_norm": 0.6485689878463745,
225
+ "learning_rate": 2.9793452240481162e-05,
226
+ "loss": 0.958,
227
+ "step": 155
228
+ },
229
+ {
230
+ "epoch": 0.3131115459882583,
231
+ "grad_norm": 0.7403001189231873,
232
+ "learning_rate": 2.9765829207528606e-05,
233
+ "loss": 0.9482,
234
+ "step": 160
235
+ },
236
+ {
237
+ "epoch": 0.32289628180039137,
238
+ "grad_norm": 0.7286673188209534,
239
+ "learning_rate": 2.9736487591097046e-05,
240
+ "loss": 0.8585,
241
+ "step": 165
242
+ },
243
+ {
244
+ "epoch": 0.33268101761252444,
245
+ "grad_norm": 0.7843438386917114,
246
+ "learning_rate": 2.9705430806234603e-05,
247
+ "loss": 0.8909,
248
+ "step": 170
249
+ },
250
+ {
251
+ "epoch": 0.3424657534246575,
252
+ "grad_norm": 0.709354043006897,
253
+ "learning_rate": 2.967266246761652e-05,
254
+ "loss": 0.9095,
255
+ "step": 175
256
+ },
257
+ {
258
+ "epoch": 0.3522504892367906,
259
+ "grad_norm": 0.7203502058982849,
260
+ "learning_rate": 2.9638186389124475e-05,
261
+ "loss": 0.8583,
262
+ "step": 180
263
+ },
264
+ {
265
+ "epoch": 0.36203522504892366,
266
+ "grad_norm": 0.7121981382369995,
267
+ "learning_rate": 2.9602006583402662e-05,
268
+ "loss": 0.8251,
269
+ "step": 185
270
+ },
271
+ {
272
+ "epoch": 0.37181996086105673,
273
+ "grad_norm": 0.8489810228347778,
274
+ "learning_rate": 2.956412726139078e-05,
275
+ "loss": 0.8325,
276
+ "step": 190
277
+ },
278
+ {
279
+ "epoch": 0.3816046966731898,
280
+ "grad_norm": 0.849193811416626,
281
+ "learning_rate": 2.9524552831833924e-05,
282
+ "loss": 0.8476,
283
+ "step": 195
284
+ },
285
+ {
286
+ "epoch": 0.3913894324853229,
287
+ "grad_norm": 0.8722940683364868,
288
+ "learning_rate": 2.9483287900769436e-05,
289
+ "loss": 0.8101,
290
+ "step": 200
291
+ },
292
+ {
293
+ "epoch": 0.40117416829745595,
294
+ "grad_norm": 0.9100476503372192,
295
+ "learning_rate": 2.9440337270990835e-05,
296
+ "loss": 0.7866,
297
+ "step": 205
298
+ },
299
+ {
300
+ "epoch": 0.410958904109589,
301
+ "grad_norm": 0.9058657884597778,
302
+ "learning_rate": 2.9395705941488814e-05,
303
+ "loss": 0.8068,
304
+ "step": 210
305
+ },
306
+ {
307
+ "epoch": 0.4207436399217221,
308
+ "grad_norm": 0.9936424493789673,
309
+ "learning_rate": 2.9349399106869406e-05,
310
+ "loss": 0.7925,
311
+ "step": 215
312
+ },
313
+ {
314
+ "epoch": 0.43052837573385516,
315
+ "grad_norm": 0.9257177710533142,
316
+ "learning_rate": 2.9301422156749404e-05,
317
+ "loss": 0.7624,
318
+ "step": 220
319
+ },
320
+ {
321
+ "epoch": 0.44031311154598823,
322
+ "grad_norm": 0.9148401618003845,
323
+ "learning_rate": 2.925178067512904e-05,
324
+ "loss": 0.7557,
325
+ "step": 225
326
+ },
327
+ {
328
+ "epoch": 0.4500978473581213,
329
+ "grad_norm": 0.8784103989601135,
330
+ "learning_rate": 2.9200480439742092e-05,
331
+ "loss": 0.7359,
332
+ "step": 230
333
+ },
334
+ {
335
+ "epoch": 0.4598825831702544,
336
+ "grad_norm": 0.8627538084983826,
337
+ "learning_rate": 2.9147527421383417e-05,
338
+ "loss": 0.7662,
339
+ "step": 235
340
+ },
341
+ {
342
+ "epoch": 0.46966731898238745,
343
+ "grad_norm": 0.898265540599823,
344
+ "learning_rate": 2.9092927783213996e-05,
345
+ "loss": 0.7214,
346
+ "step": 240
347
+ },
348
+ {
349
+ "epoch": 0.4794520547945205,
350
+ "grad_norm": 0.9602180123329163,
351
+ "learning_rate": 2.9036687880043634e-05,
352
+ "loss": 0.7156,
353
+ "step": 245
354
+ },
355
+ {
356
+ "epoch": 0.4892367906066536,
357
+ "grad_norm": 1.0888434648513794,
358
+ "learning_rate": 2.8978814257591304e-05,
359
+ "loss": 0.6845,
360
+ "step": 250
361
+ },
362
+ {
363
+ "epoch": 0.49902152641878667,
364
+ "grad_norm": 0.8821093440055847,
365
+ "learning_rate": 2.891931365172331e-05,
366
+ "loss": 0.6605,
367
+ "step": 255
368
+ },
369
+ {
370
+ "epoch": 0.5088062622309197,
371
+ "grad_norm": 0.9522275328636169,
372
+ "learning_rate": 2.8858192987669303e-05,
373
+ "loss": 0.7019,
374
+ "step": 260
375
+ },
376
+ {
377
+ "epoch": 0.5185909980430529,
378
+ "grad_norm": 1.0097681283950806,
379
+ "learning_rate": 2.8795459379216254e-05,
380
+ "loss": 0.6589,
381
+ "step": 265
382
+ },
383
+ {
384
+ "epoch": 0.5283757338551859,
385
+ "grad_norm": 0.9757689237594604,
386
+ "learning_rate": 2.8731120127880496e-05,
387
+ "loss": 0.6713,
388
+ "step": 270
389
+ },
390
+ {
391
+ "epoch": 0.538160469667319,
392
+ "grad_norm": 1.1266475915908813,
393
+ "learning_rate": 2.8665182722057893e-05,
394
+ "loss": 0.6949,
395
+ "step": 275
396
+ },
397
+ {
398
+ "epoch": 0.547945205479452,
399
+ "grad_norm": 1.1574108600616455,
400
+ "learning_rate": 2.8597654836152277e-05,
401
+ "loss": 0.6465,
402
+ "step": 280
403
+ },
404
+ {
405
+ "epoch": 0.5577299412915852,
406
+ "grad_norm": 1.0349950790405273,
407
+ "learning_rate": 2.852854432968224e-05,
408
+ "loss": 0.6615,
409
+ "step": 285
410
+ },
411
+ {
412
+ "epoch": 0.5675146771037182,
413
+ "grad_norm": 1.0373854637145996,
414
+ "learning_rate": 2.8457859246366348e-05,
415
+ "loss": 0.6342,
416
+ "step": 290
417
+ },
418
+ {
419
+ "epoch": 0.5772994129158513,
420
+ "grad_norm": 0.994081974029541,
421
+ "learning_rate": 2.8385607813186968e-05,
422
+ "loss": 0.5868,
423
+ "step": 295
424
+ },
425
+ {
426
+ "epoch": 0.5870841487279843,
427
+ "grad_norm": 1.0934957265853882,
428
+ "learning_rate": 2.83117984394327e-05,
429
+ "loss": 0.6362,
430
+ "step": 300
431
+ },
432
+ {
433
+ "epoch": 0.5968688845401174,
434
+ "grad_norm": 1.1121666431427002,
435
+ "learning_rate": 2.823643971571967e-05,
436
+ "loss": 0.5943,
437
+ "step": 305
438
+ },
439
+ {
440
+ "epoch": 0.6066536203522505,
441
+ "grad_norm": 1.0695664882659912,
442
+ "learning_rate": 2.815954041299163e-05,
443
+ "loss": 0.5985,
444
+ "step": 310
445
+ },
446
+ {
447
+ "epoch": 0.6164383561643836,
448
+ "grad_norm": 1.299292802810669,
449
+ "learning_rate": 2.808110948149915e-05,
450
+ "loss": 0.6022,
451
+ "step": 315
452
+ },
453
+ {
454
+ "epoch": 0.6262230919765166,
455
+ "grad_norm": 1.195971965789795,
456
+ "learning_rate": 2.800115604975789e-05,
457
+ "loss": 0.6159,
458
+ "step": 320
459
+ },
460
+ {
461
+ "epoch": 0.6360078277886497,
462
+ "grad_norm": 1.0570621490478516,
463
+ "learning_rate": 2.7919689423486136e-05,
464
+ "loss": 0.6024,
465
+ "step": 325
466
+ },
467
+ {
468
+ "epoch": 0.6457925636007827,
469
+ "grad_norm": 1.0627111196517944,
470
+ "learning_rate": 2.7836719084521714e-05,
471
+ "loss": 0.5783,
472
+ "step": 330
473
+ },
474
+ {
475
+ "epoch": 0.6555772994129159,
476
+ "grad_norm": 0.9751792550086975,
477
+ "learning_rate": 2.775225468971842e-05,
478
+ "loss": 0.5847,
479
+ "step": 335
480
+ },
481
+ {
482
+ "epoch": 0.6653620352250489,
483
+ "grad_norm": 1.2819820642471313,
484
+ "learning_rate": 2.7666306069822057e-05,
485
+ "loss": 0.5672,
486
+ "step": 340
487
+ },
488
+ {
489
+ "epoch": 0.675146771037182,
490
+ "grad_norm": 1.0742990970611572,
491
+ "learning_rate": 2.757888322832624e-05,
492
+ "loss": 0.5275,
493
+ "step": 345
494
+ },
495
+ {
496
+ "epoch": 0.684931506849315,
497
+ "grad_norm": 1.2804126739501953,
498
+ "learning_rate": 2.7489996340308096e-05,
499
+ "loss": 0.5626,
500
+ "step": 350
501
+ },
502
+ {
503
+ "epoch": 0.6947162426614482,
504
+ "grad_norm": 1.052629828453064,
505
+ "learning_rate": 2.7399655751244005e-05,
506
+ "loss": 0.593,
507
+ "step": 355
508
+ },
509
+ {
510
+ "epoch": 0.7045009784735812,
511
+ "grad_norm": 1.1923245191574097,
512
+ "learning_rate": 2.7307871975805486e-05,
513
+ "loss": 0.5062,
514
+ "step": 360
515
+ },
516
+ {
517
+ "epoch": 0.7142857142857143,
518
+ "grad_norm": 1.086018681526184,
519
+ "learning_rate": 2.721465569663541e-05,
520
+ "loss": 0.5254,
521
+ "step": 365
522
+ },
523
+ {
524
+ "epoch": 0.7240704500978473,
525
+ "grad_norm": 1.1433733701705933,
526
+ "learning_rate": 2.7120017763104648e-05,
527
+ "loss": 0.4838,
528
+ "step": 370
529
+ },
530
+ {
531
+ "epoch": 0.7338551859099804,
532
+ "grad_norm": 1.1854525804519653,
533
+ "learning_rate": 2.7023969190049337e-05,
534
+ "loss": 0.5365,
535
+ "step": 375
536
+ },
537
+ {
538
+ "epoch": 0.7436399217221135,
539
+ "grad_norm": 1.0598149299621582,
540
+ "learning_rate": 2.6926521156488857e-05,
541
+ "loss": 0.5169,
542
+ "step": 380
543
+ },
544
+ {
545
+ "epoch": 0.7534246575342466,
546
+ "grad_norm": 1.4364194869995117,
547
+ "learning_rate": 2.6827685004324706e-05,
548
+ "loss": 0.5201,
549
+ "step": 385
550
+ },
551
+ {
552
+ "epoch": 0.7632093933463796,
553
+ "grad_norm": 1.0421122312545776,
554
+ "learning_rate": 2.672747223702045e-05,
555
+ "loss": 0.4953,
556
+ "step": 390
557
+ },
558
+ {
559
+ "epoch": 0.7729941291585127,
560
+ "grad_norm": 1.3497486114501953,
561
+ "learning_rate": 2.662589451826282e-05,
562
+ "loss": 0.4934,
563
+ "step": 395
564
+ },
565
+ {
566
+ "epoch": 0.7827788649706457,
567
+ "grad_norm": 1.1607416868209839,
568
+ "learning_rate": 2.652296367060421e-05,
569
+ "loss": 0.4541,
570
+ "step": 400
571
+ },
572
+ {
573
+ "epoch": 0.7925636007827789,
574
+ "grad_norm": 1.1762253046035767,
575
+ "learning_rate": 2.641869167408662e-05,
576
+ "loss": 0.4578,
577
+ "step": 405
578
+ },
579
+ {
580
+ "epoch": 0.8023483365949119,
581
+ "grad_norm": 1.2061841487884521,
582
+ "learning_rate": 2.6313090664847358e-05,
583
+ "loss": 0.493,
584
+ "step": 410
585
+ },
586
+ {
587
+ "epoch": 0.812133072407045,
588
+ "grad_norm": 1.2003624439239502,
589
+ "learning_rate": 2.6206172933706478e-05,
590
+ "loss": 0.477,
591
+ "step": 415
592
+ },
593
+ {
594
+ "epoch": 0.821917808219178,
595
+ "grad_norm": 1.216618299484253,
596
+ "learning_rate": 2.6097950924736287e-05,
597
+ "loss": 0.437,
598
+ "step": 420
599
+ },
600
+ {
601
+ "epoch": 0.8317025440313112,
602
+ "grad_norm": 1.0385233163833618,
603
+ "learning_rate": 2.598843723381299e-05,
604
+ "loss": 0.4873,
605
+ "step": 425
606
+ },
607
+ {
608
+ "epoch": 0.8414872798434442,
609
+ "grad_norm": 1.1734546422958374,
610
+ "learning_rate": 2.587764460715065e-05,
611
+ "loss": 0.4655,
612
+ "step": 430
613
+ },
614
+ {
615
+ "epoch": 0.8512720156555773,
616
+ "grad_norm": 1.1633533239364624,
617
+ "learning_rate": 2.5765585939817677e-05,
618
+ "loss": 0.4118,
619
+ "step": 435
620
+ },
621
+ {
622
+ "epoch": 0.8610567514677103,
623
+ "grad_norm": 1.3289645910263062,
624
+ "learning_rate": 2.565227427423598e-05,
625
+ "loss": 0.4202,
626
+ "step": 440
627
+ },
628
+ {
629
+ "epoch": 0.8708414872798435,
630
+ "grad_norm": 1.2137118577957153,
631
+ "learning_rate": 2.5537722798662973e-05,
632
+ "loss": 0.446,
633
+ "step": 445
634
+ },
635
+ {
636
+ "epoch": 0.8806262230919765,
637
+ "grad_norm": 1.246453046798706,
638
+ "learning_rate": 2.5421944845656585e-05,
639
+ "loss": 0.4376,
640
+ "step": 450
641
+ },
642
+ {
643
+ "epoch": 0.8904109589041096,
644
+ "grad_norm": 1.1725696325302124,
645
+ "learning_rate": 2.5304953890523526e-05,
646
+ "loss": 0.4214,
647
+ "step": 455
648
+ },
649
+ {
650
+ "epoch": 0.9001956947162426,
651
+ "grad_norm": 1.1813075542449951,
652
+ "learning_rate": 2.5186763549750878e-05,
653
+ "loss": 0.4149,
654
+ "step": 460
655
+ },
656
+ {
657
+ "epoch": 0.9099804305283757,
658
+ "grad_norm": 1.2469724416732788,
659
+ "learning_rate": 2.5067387579421288e-05,
660
+ "loss": 0.3934,
661
+ "step": 465
662
+ },
663
+ {
664
+ "epoch": 0.9197651663405088,
665
+ "grad_norm": 1.105574131011963,
666
+ "learning_rate": 2.494683987361193e-05,
667
+ "loss": 0.4008,
668
+ "step": 470
669
+ },
670
+ {
671
+ "epoch": 0.9295499021526419,
672
+ "grad_norm": 1.1743494272232056,
673
+ "learning_rate": 2.482513446277735e-05,
674
+ "loss": 0.3838,
675
+ "step": 475
676
+ },
677
+ {
678
+ "epoch": 0.9393346379647749,
679
+ "grad_norm": 1.2398494482040405,
680
+ "learning_rate": 2.47022855121165e-05,
681
+ "loss": 0.3989,
682
+ "step": 480
683
+ },
684
+ {
685
+ "epoch": 0.949119373776908,
686
+ "grad_norm": 1.1253057718276978,
687
+ "learning_rate": 2.4578307319924043e-05,
688
+ "loss": 0.3662,
689
+ "step": 485
690
+ },
691
+ {
692
+ "epoch": 0.958904109589041,
693
+ "grad_norm": 1.233214259147644,
694
+ "learning_rate": 2.4453214315926203e-05,
695
+ "loss": 0.369,
696
+ "step": 490
697
+ },
698
+ {
699
+ "epoch": 0.9686888454011742,
700
+ "grad_norm": 1.2067475318908691,
701
+ "learning_rate": 2.4327021059601287e-05,
702
+ "loss": 0.3557,
703
+ "step": 495
704
+ },
705
+ {
706
+ "epoch": 0.9784735812133072,
707
+ "grad_norm": 1.2306338548660278,
708
+ "learning_rate": 2.4199742238485114e-05,
709
+ "loss": 0.3581,
710
+ "step": 500
711
+ },
712
+ {
713
+ "epoch": 0.9882583170254403,
714
+ "grad_norm": 1.1564475297927856,
715
+ "learning_rate": 2.4071392666461565e-05,
716
+ "loss": 0.3688,
717
+ "step": 505
718
+ },
719
+ {
720
+ "epoch": 0.9980430528375733,
721
+ "grad_norm": 1.1837538480758667,
722
+ "learning_rate": 2.394198728203838e-05,
723
+ "loss": 0.3668,
724
+ "step": 510
725
+ },
726
+ {
727
+ "epoch": 1.0078277886497065,
728
+ "grad_norm": 1.1428850889205933,
729
+ "learning_rate": 2.3811541146608507e-05,
730
+ "loss": 0.3424,
731
+ "step": 515
732
+ },
733
+ {
734
+ "epoch": 1.0176125244618395,
735
+ "grad_norm": 1.4234540462493896,
736
+ "learning_rate": 2.368006944269709e-05,
737
+ "loss": 0.2864,
738
+ "step": 520
739
+ },
740
+ {
741
+ "epoch": 1.0273972602739727,
742
+ "grad_norm": 1.1882015466690063,
743
+ "learning_rate": 2.354758747219439e-05,
744
+ "loss": 0.2787,
745
+ "step": 525
746
+ },
747
+ {
748
+ "epoch": 1.0371819960861057,
749
+ "grad_norm": 1.0477839708328247,
750
+ "learning_rate": 2.341411065457484e-05,
751
+ "loss": 0.2824,
752
+ "step": 530
753
+ },
754
+ {
755
+ "epoch": 1.0469667318982387,
756
+ "grad_norm": 1.2897940874099731,
757
+ "learning_rate": 2.3279654525102356e-05,
758
+ "loss": 0.2933,
759
+ "step": 535
760
+ },
761
+ {
762
+ "epoch": 1.0567514677103718,
763
+ "grad_norm": 1.2501660585403442,
764
+ "learning_rate": 2.314423473302218e-05,
765
+ "loss": 0.2996,
766
+ "step": 540
767
+ },
768
+ {
769
+ "epoch": 1.0665362035225048,
770
+ "grad_norm": 1.0286684036254883,
771
+ "learning_rate": 2.3007867039739537e-05,
772
+ "loss": 0.3156,
773
+ "step": 545
774
+ },
775
+ {
776
+ "epoch": 1.076320939334638,
777
+ "grad_norm": 1.1917754411697388,
778
+ "learning_rate": 2.287056731698512e-05,
779
+ "loss": 0.2666,
780
+ "step": 550
781
+ },
782
+ {
783
+ "epoch": 1.086105675146771,
784
+ "grad_norm": 1.2268648147583008,
785
+ "learning_rate": 2.2732351544967824e-05,
786
+ "loss": 0.2839,
787
+ "step": 555
788
+ },
789
+ {
790
+ "epoch": 1.095890410958904,
791
+ "grad_norm": 1.0929343700408936,
792
+ "learning_rate": 2.259323581051481e-05,
793
+ "loss": 0.2883,
794
+ "step": 560
795
+ },
796
+ {
797
+ "epoch": 1.1056751467710373,
798
+ "grad_norm": 1.4470988512039185,
799
+ "learning_rate": 2.245323630519917e-05,
800
+ "loss": 0.2626,
801
+ "step": 565
802
+ },
803
+ {
804
+ "epoch": 1.1154598825831703,
805
+ "grad_norm": 1.1646130084991455,
806
+ "learning_rate": 2.23123693234554e-05,
807
+ "loss": 0.286,
808
+ "step": 570
809
+ },
810
+ {
811
+ "epoch": 1.1252446183953033,
812
+ "grad_norm": 1.3293094635009766,
813
+ "learning_rate": 2.2170651260682925e-05,
814
+ "loss": 0.2728,
815
+ "step": 575
816
+ },
817
+ {
818
+ "epoch": 1.1350293542074363,
819
+ "grad_norm": 0.9581043720245361,
820
+ "learning_rate": 2.2028098611337828e-05,
821
+ "loss": 0.2873,
822
+ "step": 580
823
+ },
824
+ {
825
+ "epoch": 1.1448140900195694,
826
+ "grad_norm": 1.1518635749816895,
827
+ "learning_rate": 2.1884727967013065e-05,
828
+ "loss": 0.2497,
829
+ "step": 585
830
+ },
831
+ {
832
+ "epoch": 1.1545988258317026,
833
+ "grad_norm": 1.1648210287094116,
834
+ "learning_rate": 2.174055601450742e-05,
835
+ "loss": 0.2715,
836
+ "step": 590
837
+ },
838
+ {
839
+ "epoch": 1.1643835616438356,
840
+ "grad_norm": 1.4971526861190796,
841
+ "learning_rate": 2.1595599533883306e-05,
842
+ "loss": 0.2834,
843
+ "step": 595
844
+ },
845
+ {
846
+ "epoch": 1.1741682974559686,
847
+ "grad_norm": 1.225674033164978,
848
+ "learning_rate": 2.144987539651376e-05,
849
+ "loss": 0.2445,
850
+ "step": 600
851
+ },
852
+ {
853
+ "epoch": 1.1839530332681019,
854
+ "grad_norm": 1.2057493925094604,
855
+ "learning_rate": 2.130340056311879e-05,
856
+ "loss": 0.246,
857
+ "step": 605
858
+ },
859
+ {
860
+ "epoch": 1.1937377690802349,
861
+ "grad_norm": 1.2546255588531494,
862
+ "learning_rate": 2.1156192081791355e-05,
863
+ "loss": 0.2638,
864
+ "step": 610
865
+ },
866
+ {
867
+ "epoch": 1.203522504892368,
868
+ "grad_norm": 1.2434742450714111,
869
+ "learning_rate": 2.100826708601311e-05,
870
+ "loss": 0.2425,
871
+ "step": 615
872
+ },
873
+ {
874
+ "epoch": 1.213307240704501,
875
+ "grad_norm": 1.1534274816513062,
876
+ "learning_rate": 2.0859642792660284e-05,
877
+ "loss": 0.2145,
878
+ "step": 620
879
+ },
880
+ {
881
+ "epoch": 1.223091976516634,
882
+ "grad_norm": 1.1731568574905396,
883
+ "learning_rate": 2.0710336499999814e-05,
884
+ "loss": 0.241,
885
+ "step": 625
886
+ },
887
+ {
888
+ "epoch": 1.2328767123287672,
889
+ "grad_norm": 1.1680022478103638,
890
+ "learning_rate": 2.0560365585676017e-05,
891
+ "loss": 0.2347,
892
+ "step": 630
893
+ },
894
+ {
895
+ "epoch": 1.2426614481409002,
896
+ "grad_norm": 1.3656913042068481,
897
+ "learning_rate": 2.0409747504687987e-05,
898
+ "loss": 0.2659,
899
+ "step": 635
900
+ },
901
+ {
902
+ "epoch": 1.2524461839530332,
903
+ "grad_norm": 1.0687566995620728,
904
+ "learning_rate": 2.0258499787358067e-05,
905
+ "loss": 0.2321,
906
+ "step": 640
907
+ },
908
+ {
909
+ "epoch": 1.2622309197651664,
910
+ "grad_norm": 1.3821700811386108,
911
+ "learning_rate": 2.010664003729149e-05,
912
+ "loss": 0.2437,
913
+ "step": 645
914
+ },
915
+ {
916
+ "epoch": 1.2720156555772995,
917
+ "grad_norm": 1.1575123071670532,
918
+ "learning_rate": 1.995418592932751e-05,
919
+ "loss": 0.2356,
920
+ "step": 650
921
+ },
922
+ {
923
+ "epoch": 1.2818003913894325,
924
+ "grad_norm": 1.2188833951950073,
925
+ "learning_rate": 1.9801155207482218e-05,
926
+ "loss": 0.2491,
927
+ "step": 655
928
+ },
929
+ {
930
+ "epoch": 1.2915851272015655,
931
+ "grad_norm": 1.2536076307296753,
932
+ "learning_rate": 1.9647565682883372e-05,
933
+ "loss": 0.207,
934
+ "step": 660
935
+ },
936
+ {
937
+ "epoch": 1.3013698630136985,
938
+ "grad_norm": 1.0576915740966797,
939
+ "learning_rate": 1.9493435231697333e-05,
940
+ "loss": 0.2472,
941
+ "step": 665
942
+ },
943
+ {
944
+ "epoch": 1.3111545988258317,
945
+ "grad_norm": 1.011817455291748,
946
+ "learning_rate": 1.933878179304852e-05,
947
+ "loss": 0.2189,
948
+ "step": 670
949
+ },
950
+ {
951
+ "epoch": 1.3209393346379648,
952
+ "grad_norm": 1.4796313047409058,
953
+ "learning_rate": 1.918362336693142e-05,
954
+ "loss": 0.2223,
955
+ "step": 675
956
+ },
957
+ {
958
+ "epoch": 1.3307240704500978,
959
+ "grad_norm": 1.1362252235412598,
960
+ "learning_rate": 1.9027978012115652e-05,
961
+ "loss": 0.2007,
962
+ "step": 680
963
+ },
964
+ {
965
+ "epoch": 1.340508806262231,
966
+ "grad_norm": 1.2390251159667969,
967
+ "learning_rate": 1.8871863844044083e-05,
968
+ "loss": 0.2248,
969
+ "step": 685
970
+ },
971
+ {
972
+ "epoch": 1.350293542074364,
973
+ "grad_norm": 1.0809073448181152,
974
+ "learning_rate": 1.871529903272439e-05,
975
+ "loss": 0.2086,
976
+ "step": 690
977
+ },
978
+ {
979
+ "epoch": 1.360078277886497,
980
+ "grad_norm": 1.238761305809021,
981
+ "learning_rate": 1.8558301800614272e-05,
982
+ "loss": 0.1983,
983
+ "step": 695
984
+ },
985
+ {
986
+ "epoch": 1.36986301369863,
987
+ "grad_norm": 1.0757040977478027,
988
+ "learning_rate": 1.8400890420500546e-05,
989
+ "loss": 0.2186,
990
+ "step": 700
991
+ },
992
+ {
993
+ "epoch": 1.379647749510763,
994
+ "grad_norm": 1.2721891403198242,
995
+ "learning_rate": 1.8243083213372412e-05,
996
+ "loss": 0.2002,
997
+ "step": 705
998
+ },
999
+ {
1000
+ "epoch": 1.3894324853228963,
1001
+ "grad_norm": 1.081621766090393,
1002
+ "learning_rate": 1.808489854628905e-05,
1003
+ "loss": 0.2161,
1004
+ "step": 710
1005
+ },
1006
+ {
1007
+ "epoch": 1.3992172211350293,
1008
+ "grad_norm": 1.2029180526733398,
1009
+ "learning_rate": 1.7926354830241928e-05,
1010
+ "loss": 0.2186,
1011
+ "step": 715
1012
+ },
1013
+ {
1014
+ "epoch": 1.4090019569471623,
1015
+ "grad_norm": 1.0653958320617676,
1016
+ "learning_rate": 1.7767470518011934e-05,
1017
+ "loss": 0.1946,
1018
+ "step": 720
1019
+ },
1020
+ {
1021
+ "epoch": 1.4187866927592956,
1022
+ "grad_norm": 1.1065515279769897,
1023
+ "learning_rate": 1.7608264102021693e-05,
1024
+ "loss": 0.2064,
1025
+ "step": 725
1026
+ },
1027
+ {
1028
+ "epoch": 1.4285714285714286,
1029
+ "grad_norm": 1.1080173254013062,
1030
+ "learning_rate": 1.744875411218324e-05,
1031
+ "loss": 0.1793,
1032
+ "step": 730
1033
+ },
1034
+ {
1035
+ "epoch": 1.4383561643835616,
1036
+ "grad_norm": 1.3316106796264648,
1037
+ "learning_rate": 1.7288959113741334e-05,
1038
+ "loss": 0.1797,
1039
+ "step": 735
1040
+ },
1041
+ {
1042
+ "epoch": 1.4481409001956946,
1043
+ "grad_norm": 1.0640560388565063,
1044
+ "learning_rate": 1.712889770511265e-05,
1045
+ "loss": 0.2125,
1046
+ "step": 740
1047
+ },
1048
+ {
1049
+ "epoch": 1.4579256360078277,
1050
+ "grad_norm": 1.031713604927063,
1051
+ "learning_rate": 1.6968588515721166e-05,
1052
+ "loss": 0.1917,
1053
+ "step": 745
1054
+ },
1055
+ {
1056
+ "epoch": 1.467710371819961,
1057
+ "grad_norm": 1.1430633068084717,
1058
+ "learning_rate": 1.6808050203829845e-05,
1059
+ "loss": 0.1721,
1060
+ "step": 750
1061
+ },
1062
+ {
1063
+ "epoch": 1.477495107632094,
1064
+ "grad_norm": 1.0728070735931396,
1065
+ "learning_rate": 1.6647301454369068e-05,
1066
+ "loss": 0.175,
1067
+ "step": 755
1068
+ },
1069
+ {
1070
+ "epoch": 1.487279843444227,
1071
+ "grad_norm": 1.2282472848892212,
1072
+ "learning_rate": 1.6486360976761866e-05,
1073
+ "loss": 0.1841,
1074
+ "step": 760
1075
+ },
1076
+ {
1077
+ "epoch": 1.4970645792563602,
1078
+ "grad_norm": 1.169406771659851,
1079
+ "learning_rate": 1.632524750274636e-05,
1080
+ "loss": 0.1496,
1081
+ "step": 765
1082
+ },
1083
+ {
1084
+ "epoch": 1.5068493150684932,
1085
+ "grad_norm": 1.085239052772522,
1086
+ "learning_rate": 1.6163979784195594e-05,
1087
+ "loss": 0.1893,
1088
+ "step": 770
1089
+ },
1090
+ {
1091
+ "epoch": 1.5166340508806262,
1092
+ "grad_norm": 1.020064115524292,
1093
+ "learning_rate": 1.6002576590935022e-05,
1094
+ "loss": 0.1769,
1095
+ "step": 775
1096
+ },
1097
+ {
1098
+ "epoch": 1.5264187866927594,
1099
+ "grad_norm": 1.0755733251571655,
1100
+ "learning_rate": 1.5841056708557876e-05,
1101
+ "loss": 0.1691,
1102
+ "step": 780
1103
+ },
1104
+ {
1105
+ "epoch": 1.5362035225048922,
1106
+ "grad_norm": 1.065834879875183,
1107
+ "learning_rate": 1.567943893623877e-05,
1108
+ "loss": 0.1785,
1109
+ "step": 785
1110
+ },
1111
+ {
1112
+ "epoch": 1.5459882583170255,
1113
+ "grad_norm": 1.0913126468658447,
1114
+ "learning_rate": 1.551774208454562e-05,
1115
+ "loss": 0.1867,
1116
+ "step": 790
1117
+ },
1118
+ {
1119
+ "epoch": 1.5557729941291585,
1120
+ "grad_norm": 1.1648215055465698,
1121
+ "learning_rate": 1.5355984973250366e-05,
1122
+ "loss": 0.1907,
1123
+ "step": 795
1124
+ },
1125
+ {
1126
+ "epoch": 1.5655577299412915,
1127
+ "grad_norm": 1.4390522241592407,
1128
+ "learning_rate": 1.519418642913849e-05,
1129
+ "loss": 0.163,
1130
+ "step": 800
1131
+ },
1132
+ {
1133
+ "epoch": 1.5753424657534247,
1134
+ "grad_norm": 1.01279878616333,
1135
+ "learning_rate": 1.5032365283817825e-05,
1136
+ "loss": 0.1625,
1137
+ "step": 805
1138
+ },
1139
+ {
1140
+ "epoch": 1.5851272015655578,
1141
+ "grad_norm": 1.1234655380249023,
1142
+ "learning_rate": 1.4870540371526718e-05,
1143
+ "loss": 0.167,
1144
+ "step": 810
1145
+ },
1146
+ {
1147
+ "epoch": 1.5949119373776908,
1148
+ "grad_norm": 1.0970678329467773,
1149
+ "learning_rate": 1.4708730526941975e-05,
1150
+ "loss": 0.1441,
1151
+ "step": 815
1152
+ },
1153
+ {
1154
+ "epoch": 1.604696673189824,
1155
+ "grad_norm": 0.9171003103256226,
1156
+ "learning_rate": 1.454695458298667e-05,
1157
+ "loss": 0.1464,
1158
+ "step": 820
1159
+ },
1160
+ {
1161
+ "epoch": 1.6144814090019568,
1162
+ "grad_norm": 1.074061393737793,
1163
+ "learning_rate": 1.4385231368638216e-05,
1164
+ "loss": 0.146,
1165
+ "step": 825
1166
+ },
1167
+ {
1168
+ "epoch": 1.62426614481409,
1169
+ "grad_norm": 0.9906405806541443,
1170
+ "learning_rate": 1.4223579706736857e-05,
1171
+ "loss": 0.157,
1172
+ "step": 830
1173
+ },
1174
+ {
1175
+ "epoch": 1.634050880626223,
1176
+ "grad_norm": 0.9814542531967163,
1177
+ "learning_rate": 1.4062018411794925e-05,
1178
+ "loss": 0.1428,
1179
+ "step": 835
1180
+ },
1181
+ {
1182
+ "epoch": 1.643835616438356,
1183
+ "grad_norm": 0.9765394330024719,
1184
+ "learning_rate": 1.3900566287806982e-05,
1185
+ "loss": 0.1421,
1186
+ "step": 840
1187
+ },
1188
+ {
1189
+ "epoch": 1.6536203522504893,
1190
+ "grad_norm": 1.194342851638794,
1191
+ "learning_rate": 1.3739242126061288e-05,
1192
+ "loss": 0.1843,
1193
+ "step": 845
1194
+ },
1195
+ {
1196
+ "epoch": 1.6634050880626223,
1197
+ "grad_norm": 0.910889744758606,
1198
+ "learning_rate": 1.3578064702952668e-05,
1199
+ "loss": 0.1454,
1200
+ "step": 850
1201
+ },
1202
+ {
1203
+ "epoch": 1.6731898238747553,
1204
+ "grad_norm": 1.0159302949905396,
1205
+ "learning_rate": 1.3417052777797151e-05,
1206
+ "loss": 0.1542,
1207
+ "step": 855
1208
+ },
1209
+ {
1210
+ "epoch": 1.6829745596868886,
1211
+ "grad_norm": 0.915496289730072,
1212
+ "learning_rate": 1.3256225090648585e-05,
1213
+ "loss": 0.1564,
1214
+ "step": 860
1215
+ },
1216
+ {
1217
+ "epoch": 1.6927592954990214,
1218
+ "grad_norm": 0.9835331439971924,
1219
+ "learning_rate": 1.3095600360117506e-05,
1220
+ "loss": 0.1325,
1221
+ "step": 865
1222
+ },
1223
+ {
1224
+ "epoch": 1.7025440313111546,
1225
+ "grad_norm": 1.0963622331619263,
1226
+ "learning_rate": 1.293519728119248e-05,
1227
+ "loss": 0.1462,
1228
+ "step": 870
1229
+ },
1230
+ {
1231
+ "epoch": 1.7123287671232876,
1232
+ "grad_norm": 1.078162431716919,
1233
+ "learning_rate": 1.2775034523064206e-05,
1234
+ "loss": 0.1378,
1235
+ "step": 875
1236
+ },
1237
+ {
1238
+ "epoch": 1.7221135029354206,
1239
+ "grad_norm": 1.0844110250473022,
1240
+ "learning_rate": 1.261513072695265e-05,
1241
+ "loss": 0.1501,
1242
+ "step": 880
1243
+ },
1244
+ {
1245
+ "epoch": 1.7318982387475539,
1246
+ "grad_norm": 0.9779272079467773,
1247
+ "learning_rate": 1.2455504503937369e-05,
1248
+ "loss": 0.1358,
1249
+ "step": 885
1250
+ },
1251
+ {
1252
+ "epoch": 1.741682974559687,
1253
+ "grad_norm": 0.9694347381591797,
1254
+ "learning_rate": 1.2296174432791415e-05,
1255
+ "loss": 0.1341,
1256
+ "step": 890
1257
+ },
1258
+ {
1259
+ "epoch": 1.75146771037182,
1260
+ "grad_norm": 1.135961890220642,
1261
+ "learning_rate": 1.2137159057818942e-05,
1262
+ "loss": 0.1358,
1263
+ "step": 895
1264
+ },
1265
+ {
1266
+ "epoch": 1.7612524461839532,
1267
+ "grad_norm": 1.0626426935195923,
1268
+ "learning_rate": 1.1978476886696868e-05,
1269
+ "loss": 0.1271,
1270
+ "step": 900
1271
+ },
1272
+ {
1273
+ "epoch": 1.771037181996086,
1274
+ "grad_norm": 0.8748185634613037,
1275
+ "learning_rate": 1.1820146388320764e-05,
1276
+ "loss": 0.132,
1277
+ "step": 905
1278
+ },
1279
+ {
1280
+ "epoch": 1.7808219178082192,
1281
+ "grad_norm": 0.8870331048965454,
1282
+ "learning_rate": 1.1662185990655285e-05,
1283
+ "loss": 0.1312,
1284
+ "step": 910
1285
+ },
1286
+ {
1287
+ "epoch": 1.7906066536203522,
1288
+ "grad_norm": 1.1639935970306396,
1289
+ "learning_rate": 1.1504614078589353e-05,
1290
+ "loss": 0.1351,
1291
+ "step": 915
1292
+ },
1293
+ {
1294
+ "epoch": 1.8003913894324852,
1295
+ "grad_norm": 0.8740416765213013,
1296
+ "learning_rate": 1.1347448991796335e-05,
1297
+ "loss": 0.1148,
1298
+ "step": 920
1299
+ },
1300
+ {
1301
+ "epoch": 1.8101761252446185,
1302
+ "grad_norm": 1.1621346473693848,
1303
+ "learning_rate": 1.1190709022599546e-05,
1304
+ "loss": 0.1408,
1305
+ "step": 925
1306
+ },
1307
+ {
1308
+ "epoch": 1.8199608610567515,
1309
+ "grad_norm": 0.9756697416305542,
1310
+ "learning_rate": 1.1034412413843166e-05,
1311
+ "loss": 0.1203,
1312
+ "step": 930
1313
+ },
1314
+ {
1315
+ "epoch": 1.8297455968688845,
1316
+ "grad_norm": 1.061224341392517,
1317
+ "learning_rate": 1.0878577356769008e-05,
1318
+ "loss": 0.1278,
1319
+ "step": 935
1320
+ },
1321
+ {
1322
+ "epoch": 1.8395303326810177,
1323
+ "grad_norm": 0.939208447933197,
1324
+ "learning_rate": 1.0723221988899235e-05,
1325
+ "loss": 0.1263,
1326
+ "step": 940
1327
+ },
1328
+ {
1329
+ "epoch": 1.8493150684931505,
1330
+ "grad_norm": 0.83660888671875,
1331
+ "learning_rate": 1.0568364391925357e-05,
1332
+ "loss": 0.1108,
1333
+ "step": 945
1334
+ },
1335
+ {
1336
+ "epoch": 1.8590998043052838,
1337
+ "grad_norm": 0.9582011699676514,
1338
+ "learning_rate": 1.041402258960371e-05,
1339
+ "loss": 0.1171,
1340
+ "step": 950
1341
+ },
1342
+ {
1343
+ "epoch": 1.8688845401174168,
1344
+ "grad_norm": 0.9707714319229126,
1345
+ "learning_rate": 1.0260214545657688e-05,
1346
+ "loss": 0.1003,
1347
+ "step": 955
1348
+ },
1349
+ {
1350
+ "epoch": 1.8786692759295498,
1351
+ "grad_norm": 0.9569882154464722,
1352
+ "learning_rate": 1.0106958161686963e-05,
1353
+ "loss": 0.1144,
1354
+ "step": 960
1355
+ },
1356
+ {
1357
+ "epoch": 1.888454011741683,
1358
+ "grad_norm": 0.8673170208930969,
1359
+ "learning_rate": 9.954271275083926e-06,
1360
+ "loss": 0.1238,
1361
+ "step": 965
1362
+ },
1363
+ {
1364
+ "epoch": 1.898238747553816,
1365
+ "grad_norm": 1.0494937896728516,
1366
+ "learning_rate": 9.8021716569576e-06,
1367
+ "loss": 0.1172,
1368
+ "step": 970
1369
+ },
1370
+ {
1371
+ "epoch": 1.908023483365949,
1372
+ "grad_norm": 1.2174538373947144,
1373
+ "learning_rate": 9.650677010065305e-06,
1374
+ "loss": 0.1143,
1375
+ "step": 975
1376
+ },
1377
+ {
1378
+ "epoch": 1.9178082191780823,
1379
+ "grad_norm": 0.9288437962532043,
1380
+ "learning_rate": 9.4998049667522e-06,
1381
+ "loss": 0.1049,
1382
+ "step": 980
1383
+ },
1384
+ {
1385
+ "epoch": 1.927592954990215,
1386
+ "grad_norm": 0.9887030124664307,
1387
+ "learning_rate": 9.349573086899111e-06,
1388
+ "loss": 0.1045,
1389
+ "step": 985
1390
+ },
1391
+ {
1392
+ "epoch": 1.9373776908023483,
1393
+ "grad_norm": 1.1209849119186401,
1394
+ "learning_rate": 9.199998855878719e-06,
1395
+ "loss": 0.114,
1396
+ "step": 990
1397
+ },
1398
+ {
1399
+ "epoch": 1.9471624266144814,
1400
+ "grad_norm": 0.9360877871513367,
1401
+ "learning_rate": 9.051099682520475e-06,
1402
+ "loss": 0.1134,
1403
+ "step": 995
1404
+ },
1405
+ {
1406
+ "epoch": 1.9569471624266144,
1407
+ "grad_norm": 0.776114284992218,
1408
+ "learning_rate": 8.902892897084382e-06,
1409
+ "loss": 0.1056,
1410
+ "step": 1000
1411
+ },
1412
+ {
1413
+ "epoch": 1.9667318982387476,
1414
+ "grad_norm": 0.9445653557777405,
1415
+ "learning_rate": 8.755395749243958e-06,
1416
+ "loss": 0.0993,
1417
+ "step": 1005
1418
+ },
1419
+ {
1420
+ "epoch": 1.9765166340508806,
1421
+ "grad_norm": 1.2114028930664062,
1422
+ "learning_rate": 8.608625406078526e-06,
1423
+ "loss": 0.1092,
1424
+ "step": 1010
1425
+ },
1426
+ {
1427
+ "epoch": 1.9863013698630136,
1428
+ "grad_norm": 1.0555222034454346,
1429
+ "learning_rate": 8.46259895007519e-06,
1430
+ "loss": 0.0942,
1431
+ "step": 1015
1432
+ },
1433
+ {
1434
+ "epoch": 1.9960861056751469,
1435
+ "grad_norm": 0.8842493891716003,
1436
+ "learning_rate": 8.317333377140606e-06,
1437
+ "loss": 0.106,
1438
+ "step": 1020
1439
+ },
1440
+ {
1441
+ "epoch": 2.0058708414872797,
1442
+ "grad_norm": 0.6439769864082336,
1443
+ "learning_rate": 8.172845594622825e-06,
1444
+ "loss": 0.0835,
1445
+ "step": 1025
1446
+ },
1447
+ {
1448
+ "epoch": 2.015655577299413,
1449
+ "grad_norm": 0.8429094552993774,
1450
+ "learning_rate": 8.029152419343472e-06,
1451
+ "loss": 0.0847,
1452
+ "step": 1030
1453
+ },
1454
+ {
1455
+ "epoch": 2.025440313111546,
1456
+ "grad_norm": 0.7041258811950684,
1457
+ "learning_rate": 7.88627057564045e-06,
1458
+ "loss": 0.0769,
1459
+ "step": 1035
1460
+ },
1461
+ {
1462
+ "epoch": 2.035225048923679,
1463
+ "grad_norm": 0.8132873773574829,
1464
+ "learning_rate": 7.744216693421403e-06,
1465
+ "loss": 0.0825,
1466
+ "step": 1040
1467
+ },
1468
+ {
1469
+ "epoch": 2.045009784735812,
1470
+ "grad_norm": 0.7724251747131348,
1471
+ "learning_rate": 7.603007306228181e-06,
1472
+ "loss": 0.0923,
1473
+ "step": 1045
1474
+ },
1475
+ {
1476
+ "epoch": 2.0547945205479454,
1477
+ "grad_norm": 0.881170392036438,
1478
+ "learning_rate": 7.462658849312507e-06,
1479
+ "loss": 0.0783,
1480
+ "step": 1050
1481
+ },
1482
+ {
1483
+ "epoch": 2.064579256360078,
1484
+ "grad_norm": 0.7710109949111938,
1485
+ "learning_rate": 7.3231876577230875e-06,
1486
+ "loss": 0.0815,
1487
+ "step": 1055
1488
+ },
1489
+ {
1490
+ "epoch": 2.0743639921722115,
1491
+ "grad_norm": 0.9433515667915344,
1492
+ "learning_rate": 7.1846099644044006e-06,
1493
+ "loss": 0.0867,
1494
+ "step": 1060
1495
+ },
1496
+ {
1497
+ "epoch": 2.0841487279843443,
1498
+ "grad_norm": 0.7743017077445984,
1499
+ "learning_rate": 7.046941898307346e-06,
1500
+ "loss": 0.0769,
1501
+ "step": 1065
1502
+ },
1503
+ {
1504
+ "epoch": 2.0939334637964775,
1505
+ "grad_norm": 0.847722053527832,
1506
+ "learning_rate": 6.9101994825120144e-06,
1507
+ "loss": 0.0802,
1508
+ "step": 1070
1509
+ },
1510
+ {
1511
+ "epoch": 2.1037181996086107,
1512
+ "grad_norm": 0.6796703934669495,
1513
+ "learning_rate": 6.774398632362769e-06,
1514
+ "loss": 0.0838,
1515
+ "step": 1075
1516
+ },
1517
+ {
1518
+ "epoch": 2.1135029354207435,
1519
+ "grad_norm": 0.6822458505630493,
1520
+ "learning_rate": 6.639555153615878e-06,
1521
+ "loss": 0.0854,
1522
+ "step": 1080
1523
+ },
1524
+ {
1525
+ "epoch": 2.1232876712328768,
1526
+ "grad_norm": 0.7536410093307495,
1527
+ "learning_rate": 6.505684740599881e-06,
1528
+ "loss": 0.0707,
1529
+ "step": 1085
1530
+ },
1531
+ {
1532
+ "epoch": 2.1330724070450096,
1533
+ "grad_norm": 0.6132102608680725,
1534
+ "learning_rate": 6.3728029743889586e-06,
1535
+ "loss": 0.08,
1536
+ "step": 1090
1537
+ },
1538
+ {
1539
+ "epoch": 2.142857142857143,
1540
+ "grad_norm": 0.8666600584983826,
1541
+ "learning_rate": 6.240925320989441e-06,
1542
+ "loss": 0.0902,
1543
+ "step": 1095
1544
+ },
1545
+ {
1546
+ "epoch": 2.152641878669276,
1547
+ "grad_norm": 0.8916414380073547,
1548
+ "learning_rate": 6.11006712953975e-06,
1549
+ "loss": 0.0834,
1550
+ "step": 1100
1551
+ },
1552
+ {
1553
+ "epoch": 2.162426614481409,
1554
+ "grad_norm": 0.696893572807312,
1555
+ "learning_rate": 5.980243630523911e-06,
1556
+ "loss": 0.0714,
1557
+ "step": 1105
1558
+ },
1559
+ {
1560
+ "epoch": 2.172211350293542,
1561
+ "grad_norm": 0.8130199313163757,
1562
+ "learning_rate": 5.851469933998907e-06,
1563
+ "loss": 0.0823,
1564
+ "step": 1110
1565
+ },
1566
+ {
1567
+ "epoch": 2.1819960861056753,
1568
+ "grad_norm": 0.6856159567832947,
1569
+ "learning_rate": 5.723761027836002e-06,
1570
+ "loss": 0.0832,
1571
+ "step": 1115
1572
+ },
1573
+ {
1574
+ "epoch": 2.191780821917808,
1575
+ "grad_norm": 0.6900305151939392,
1576
+ "learning_rate": 5.597131775976343e-06,
1577
+ "loss": 0.0797,
1578
+ "step": 1120
1579
+ },
1580
+ {
1581
+ "epoch": 2.2015655577299413,
1582
+ "grad_norm": 1.0851941108703613,
1583
+ "learning_rate": 5.471596916700933e-06,
1584
+ "loss": 0.071,
1585
+ "step": 1125
1586
+ },
1587
+ {
1588
+ "epoch": 2.2113502935420746,
1589
+ "grad_norm": 0.7255151867866516,
1590
+ "learning_rate": 5.347171060915278e-06,
1591
+ "loss": 0.0683,
1592
+ "step": 1130
1593
+ },
1594
+ {
1595
+ "epoch": 2.2211350293542074,
1596
+ "grad_norm": 0.8086680173873901,
1597
+ "learning_rate": 5.223868690448817e-06,
1598
+ "loss": 0.0815,
1599
+ "step": 1135
1600
+ },
1601
+ {
1602
+ "epoch": 2.2309197651663406,
1603
+ "grad_norm": 0.7399266958236694,
1604
+ "learning_rate": 5.101704156369398e-06,
1605
+ "loss": 0.0763,
1606
+ "step": 1140
1607
+ },
1608
+ {
1609
+ "epoch": 2.2407045009784734,
1610
+ "grad_norm": 0.6829865574836731,
1611
+ "learning_rate": 4.980691677312974e-06,
1612
+ "loss": 0.0782,
1613
+ "step": 1145
1614
+ },
1615
+ {
1616
+ "epoch": 2.2504892367906066,
1617
+ "grad_norm": 0.7899296879768372,
1618
+ "learning_rate": 4.860845337828684e-06,
1619
+ "loss": 0.0826,
1620
+ "step": 1150
1621
+ },
1622
+ {
1623
+ "epoch": 2.26027397260274,
1624
+ "grad_norm": 0.9397788643836975,
1625
+ "learning_rate": 4.742179086739612e-06,
1626
+ "loss": 0.0732,
1627
+ "step": 1155
1628
+ },
1629
+ {
1630
+ "epoch": 2.2700587084148727,
1631
+ "grad_norm": 0.5895610451698303,
1632
+ "learning_rate": 4.624706735519239e-06,
1633
+ "loss": 0.0719,
1634
+ "step": 1160
1635
+ },
1636
+ {
1637
+ "epoch": 2.279843444227006,
1638
+ "grad_norm": 0.903843879699707,
1639
+ "learning_rate": 4.50844195668397e-06,
1640
+ "loss": 0.0656,
1641
+ "step": 1165
1642
+ },
1643
+ {
1644
+ "epoch": 2.2896281800391387,
1645
+ "grad_norm": 0.8454123139381409,
1646
+ "learning_rate": 4.393398282201788e-06,
1647
+ "loss": 0.0772,
1648
+ "step": 1170
1649
+ },
1650
+ {
1651
+ "epoch": 2.299412915851272,
1652
+ "grad_norm": 0.6164603233337402,
1653
+ "learning_rate": 4.279589101917285e-06,
1654
+ "loss": 0.0686,
1655
+ "step": 1175
1656
+ },
1657
+ {
1658
+ "epoch": 2.309197651663405,
1659
+ "grad_norm": 0.5521309971809387,
1660
+ "learning_rate": 4.1670276619932185e-06,
1661
+ "loss": 0.0704,
1662
+ "step": 1180
1663
+ },
1664
+ {
1665
+ "epoch": 2.318982387475538,
1666
+ "grad_norm": 0.8986679911613464,
1667
+ "learning_rate": 4.0557270633688155e-06,
1668
+ "loss": 0.0766,
1669
+ "step": 1185
1670
+ },
1671
+ {
1672
+ "epoch": 2.328767123287671,
1673
+ "grad_norm": 0.7122253775596619,
1674
+ "learning_rate": 3.94570026023495e-06,
1675
+ "loss": 0.0729,
1676
+ "step": 1190
1677
+ },
1678
+ {
1679
+ "epoch": 2.3385518590998045,
1680
+ "grad_norm": 0.6210092306137085,
1681
+ "learning_rate": 3.83696005852642e-06,
1682
+ "loss": 0.068,
1683
+ "step": 1195
1684
+ },
1685
+ {
1686
+ "epoch": 2.3483365949119372,
1687
+ "grad_norm": 0.8375857472419739,
1688
+ "learning_rate": 3.7295191144314914e-06,
1689
+ "loss": 0.0693,
1690
+ "step": 1200
1691
+ },
1692
+ {
1693
+ "epoch": 2.3581213307240705,
1694
+ "grad_norm": 0.6256863474845886,
1695
+ "learning_rate": 3.623389932918811e-06,
1696
+ "loss": 0.0702,
1697
+ "step": 1205
1698
+ },
1699
+ {
1700
+ "epoch": 2.3679060665362037,
1701
+ "grad_norm": 0.6554362773895264,
1702
+ "learning_rate": 3.518584866282009e-06,
1703
+ "loss": 0.0681,
1704
+ "step": 1210
1705
+ },
1706
+ {
1707
+ "epoch": 2.3776908023483365,
1708
+ "grad_norm": 0.7649148106575012,
1709
+ "learning_rate": 3.4151161127020003e-06,
1710
+ "loss": 0.0662,
1711
+ "step": 1215
1712
+ },
1713
+ {
1714
+ "epoch": 2.3874755381604698,
1715
+ "grad_norm": 0.6647529006004333,
1716
+ "learning_rate": 3.3129957148272532e-06,
1717
+ "loss": 0.0777,
1718
+ "step": 1220
1719
+ },
1720
+ {
1721
+ "epoch": 2.3972602739726026,
1722
+ "grad_norm": 0.6368157267570496,
1723
+ "learning_rate": 3.2122355583721557e-06,
1724
+ "loss": 0.0669,
1725
+ "step": 1225
1726
+ },
1727
+ {
1728
+ "epoch": 2.407045009784736,
1729
+ "grad_norm": 0.5931635499000549,
1730
+ "learning_rate": 3.1128473707336463e-06,
1731
+ "loss": 0.0699,
1732
+ "step": 1230
1733
+ },
1734
+ {
1735
+ "epoch": 2.416829745596869,
1736
+ "grad_norm": 0.6239747405052185,
1737
+ "learning_rate": 3.0148427196262678e-06,
1738
+ "loss": 0.0703,
1739
+ "step": 1235
1740
+ },
1741
+ {
1742
+ "epoch": 2.426614481409002,
1743
+ "grad_norm": 0.7887265086174011,
1744
+ "learning_rate": 2.9182330117358098e-06,
1745
+ "loss": 0.077,
1746
+ "step": 1240
1747
+ },
1748
+ {
1749
+ "epoch": 2.436399217221135,
1750
+ "grad_norm": 0.6641157865524292,
1751
+ "learning_rate": 2.823029491391711e-06,
1752
+ "loss": 0.0739,
1753
+ "step": 1245
1754
+ },
1755
+ {
1756
+ "epoch": 2.446183953033268,
1757
+ "grad_norm": 0.5395591259002686,
1758
+ "learning_rate": 2.7292432392583077e-06,
1759
+ "loss": 0.0735,
1760
+ "step": 1250
1761
+ },
1762
+ {
1763
+ "epoch": 2.455968688845401,
1764
+ "grad_norm": 0.6540674567222595,
1765
+ "learning_rate": 2.636885171045193e-06,
1766
+ "loss": 0.0723,
1767
+ "step": 1255
1768
+ },
1769
+ {
1770
+ "epoch": 2.4657534246575343,
1771
+ "grad_norm": 0.7001171112060547,
1772
+ "learning_rate": 2.545966036236728e-06,
1773
+ "loss": 0.0682,
1774
+ "step": 1260
1775
+ },
1776
+ {
1777
+ "epoch": 2.475538160469667,
1778
+ "grad_norm": 1.1719061136245728,
1779
+ "learning_rate": 2.456496416840928e-06,
1780
+ "loss": 0.0689,
1781
+ "step": 1265
1782
+ },
1783
+ {
1784
+ "epoch": 2.4853228962818004,
1785
+ "grad_norm": 0.655920147895813,
1786
+ "learning_rate": 2.3684867261578236e-06,
1787
+ "loss": 0.0805,
1788
+ "step": 1270
1789
+ },
1790
+ {
1791
+ "epoch": 2.4951076320939336,
1792
+ "grad_norm": 0.621269941329956,
1793
+ "learning_rate": 2.281947207567473e-06,
1794
+ "loss": 0.068,
1795
+ "step": 1275
1796
+ },
1797
+ {
1798
+ "epoch": 2.5048923679060664,
1799
+ "grad_norm": 0.6041397452354431,
1800
+ "learning_rate": 2.196887933337733e-06,
1801
+ "loss": 0.0621,
1802
+ "step": 1280
1803
+ },
1804
+ {
1805
+ "epoch": 2.5146771037181996,
1806
+ "grad_norm": 0.672671914100647,
1807
+ "learning_rate": 2.1133188034519597e-06,
1808
+ "loss": 0.0693,
1809
+ "step": 1285
1810
+ },
1811
+ {
1812
+ "epoch": 2.524461839530333,
1813
+ "grad_norm": 0.6204409003257751,
1814
+ "learning_rate": 2.0312495444567645e-06,
1815
+ "loss": 0.0556,
1816
+ "step": 1290
1817
+ },
1818
+ {
1819
+ "epoch": 2.5342465753424657,
1820
+ "grad_norm": 0.5381624698638916,
1821
+ "learning_rate": 1.9506897083299335e-06,
1822
+ "loss": 0.0717,
1823
+ "step": 1295
1824
+ },
1825
+ {
1826
+ "epoch": 2.544031311154599,
1827
+ "grad_norm": 0.6148281693458557,
1828
+ "learning_rate": 1.8716486713686949e-06,
1829
+ "loss": 0.067,
1830
+ "step": 1300
1831
+ },
1832
+ {
1833
+ "epoch": 2.553816046966732,
1834
+ "grad_norm": 0.6378031373023987,
1835
+ "learning_rate": 1.7941356330984116e-06,
1836
+ "loss": 0.0654,
1837
+ "step": 1305
1838
+ },
1839
+ {
1840
+ "epoch": 2.563600782778865,
1841
+ "grad_norm": 0.4585803747177124,
1842
+ "learning_rate": 1.718159615201853e-06,
1843
+ "loss": 0.0693,
1844
+ "step": 1310
1845
+ },
1846
+ {
1847
+ "epoch": 2.573385518590998,
1848
+ "grad_norm": 0.6192830204963684,
1849
+ "learning_rate": 1.643729460469176e-06,
1850
+ "loss": 0.0602,
1851
+ "step": 1315
1852
+ },
1853
+ {
1854
+ "epoch": 2.583170254403131,
1855
+ "grad_norm": 0.5830395817756653,
1856
+ "learning_rate": 1.5708538317687148e-06,
1857
+ "loss": 0.065,
1858
+ "step": 1320
1859
+ },
1860
+ {
1861
+ "epoch": 2.592954990215264,
1862
+ "grad_norm": 0.5701336860656738,
1863
+ "learning_rate": 1.4995412110387163e-06,
1864
+ "loss": 0.061,
1865
+ "step": 1325
1866
+ },
1867
+ {
1868
+ "epoch": 2.602739726027397,
1869
+ "grad_norm": 0.4947655200958252,
1870
+ "learning_rate": 1.4297998983001327e-06,
1871
+ "loss": 0.0636,
1872
+ "step": 1330
1873
+ },
1874
+ {
1875
+ "epoch": 2.6125244618395302,
1876
+ "grad_norm": 0.7686696648597717,
1877
+ "learning_rate": 1.3616380106905974e-06,
1878
+ "loss": 0.0698,
1879
+ "step": 1335
1880
+ },
1881
+ {
1882
+ "epoch": 2.6223091976516635,
1883
+ "grad_norm": 0.523448646068573,
1884
+ "learning_rate": 1.2950634815196633e-06,
1885
+ "loss": 0.0747,
1886
+ "step": 1340
1887
+ },
1888
+ {
1889
+ "epoch": 2.6320939334637963,
1890
+ "grad_norm": 0.47885662317276,
1891
+ "learning_rate": 1.2300840593454621e-06,
1892
+ "loss": 0.0604,
1893
+ "step": 1345
1894
+ },
1895
+ {
1896
+ "epoch": 2.6418786692759295,
1897
+ "grad_norm": 0.6009384989738464,
1898
+ "learning_rate": 1.1667073070728462e-06,
1899
+ "loss": 0.0679,
1900
+ "step": 1350
1901
+ },
1902
+ {
1903
+ "epoch": 2.6516634050880628,
1904
+ "grad_norm": 0.43924564123153687,
1905
+ "learning_rate": 1.104940601073161e-06,
1906
+ "loss": 0.0585,
1907
+ "step": 1355
1908
+ },
1909
+ {
1910
+ "epoch": 2.6614481409001955,
1911
+ "grad_norm": 0.5072720646858215,
1912
+ "learning_rate": 1.044791130325702e-06,
1913
+ "loss": 0.0672,
1914
+ "step": 1360
1915
+ },
1916
+ {
1917
+ "epoch": 2.671232876712329,
1918
+ "grad_norm": 0.5864505171775818,
1919
+ "learning_rate": 9.862658955810045e-07,
1920
+ "loss": 0.07,
1921
+ "step": 1365
1922
+ },
1923
+ {
1924
+ "epoch": 2.681017612524462,
1925
+ "grad_norm": 0.6745476722717285,
1926
+ "learning_rate": 9.293717085460223e-07,
1927
+ "loss": 0.0678,
1928
+ "step": 1370
1929
+ },
1930
+ {
1931
+ "epoch": 2.690802348336595,
1932
+ "grad_norm": 0.6452853679656982,
1933
+ "learning_rate": 8.741151910913276e-07,
1934
+ "loss": 0.0602,
1935
+ "step": 1375
1936
+ },
1937
+ {
1938
+ "epoch": 2.700587084148728,
1939
+ "grad_norm": 0.5218824148178101,
1940
+ "learning_rate": 8.20502774480395e-07,
1941
+ "loss": 0.0657,
1942
+ "step": 1380
1943
+ },
1944
+ {
1945
+ "epoch": 2.7103718199608613,
1946
+ "grad_norm": 0.47543880343437195,
1947
+ "learning_rate": 7.685406986210653e-07,
1948
+ "loss": 0.061,
1949
+ "step": 1385
1950
+ },
1951
+ {
1952
+ "epoch": 2.720156555772994,
1953
+ "grad_norm": 0.48542219400405884,
1954
+ "learning_rate": 7.182350113392883e-07,
1955
+ "loss": 0.055,
1956
+ "step": 1390
1957
+ },
1958
+ {
1959
+ "epoch": 2.7299412915851273,
1960
+ "grad_norm": 0.5949373245239258,
1961
+ "learning_rate": 6.695915676752301e-07,
1962
+ "loss": 0.0667,
1963
+ "step": 1395
1964
+ },
1965
+ {
1966
+ "epoch": 2.73972602739726,
1967
+ "grad_norm": 0.553185760974884,
1968
+ "learning_rate": 6.226160292018013e-07,
1969
+ "loss": 0.0639,
1970
+ "step": 1400
1971
+ },
1972
+ {
1973
+ "epoch": 2.7495107632093934,
1974
+ "grad_norm": 0.6269693374633789,
1975
+ "learning_rate": 5.773138633657121e-07,
1976
+ "loss": 0.0629,
1977
+ "step": 1405
1978
+ },
1979
+ {
1980
+ "epoch": 2.759295499021526,
1981
+ "grad_norm": 0.5973682999610901,
1982
+ "learning_rate": 5.336903428511236e-07,
1983
+ "loss": 0.0658,
1984
+ "step": 1410
1985
+ },
1986
+ {
1987
+ "epoch": 2.7690802348336594,
1988
+ "grad_norm": 0.5076714754104614,
1989
+ "learning_rate": 4.917505449659615e-07,
1990
+ "loss": 0.0568,
1991
+ "step": 1415
1992
+ },
1993
+ {
1994
+ "epoch": 2.7788649706457926,
1995
+ "grad_norm": 0.5836893320083618,
1996
+ "learning_rate": 4.514993510509674e-07,
1997
+ "loss": 0.0665,
1998
+ "step": 1420
1999
+ },
2000
+ {
2001
+ "epoch": 2.7886497064579254,
2002
+ "grad_norm": 0.44945862889289856,
2003
+ "learning_rate": 4.129414459115782e-07,
2004
+ "loss": 0.0592,
2005
+ "step": 1425
2006
+ },
2007
+ {
2008
+ "epoch": 2.7984344422700587,
2009
+ "grad_norm": 0.5773463845252991,
2010
+ "learning_rate": 3.760813172726457e-07,
2011
+ "loss": 0.0623,
2012
+ "step": 1430
2013
+ },
2014
+ {
2015
+ "epoch": 2.808219178082192,
2016
+ "grad_norm": 0.6719569563865662,
2017
+ "learning_rate": 3.4092325525613087e-07,
2018
+ "loss": 0.0606,
2019
+ "step": 1435
2020
+ },
2021
+ {
2022
+ "epoch": 2.8180039138943247,
2023
+ "grad_norm": 0.6693986058235168,
2024
+ "learning_rate": 3.0747135188176846e-07,
2025
+ "loss": 0.0826,
2026
+ "step": 1440
2027
+ },
2028
+ {
2029
+ "epoch": 2.827788649706458,
2030
+ "grad_norm": 0.5172216892242432,
2031
+ "learning_rate": 2.7572950059080615e-07,
2032
+ "loss": 0.0581,
2033
+ "step": 1445
2034
+ },
2035
+ {
2036
+ "epoch": 2.837573385518591,
2037
+ "grad_norm": 0.6774749755859375,
2038
+ "learning_rate": 2.457013957928472e-07,
2039
+ "loss": 0.0555,
2040
+ "step": 1450
2041
+ },
2042
+ {
2043
+ "epoch": 2.847358121330724,
2044
+ "grad_norm": 0.49793991446495056,
2045
+ "learning_rate": 2.1739053243585937e-07,
2046
+ "loss": 0.0559,
2047
+ "step": 1455
2048
+ },
2049
+ {
2050
+ "epoch": 2.857142857142857,
2051
+ "grad_norm": 0.6323301196098328,
2052
+ "learning_rate": 1.908002055994068e-07,
2053
+ "loss": 0.0672,
2054
+ "step": 1460
2055
+ },
2056
+ {
2057
+ "epoch": 2.8669275929549904,
2058
+ "grad_norm": 0.5901110172271729,
2059
+ "learning_rate": 1.65933510111132e-07,
2060
+ "loss": 0.0585,
2061
+ "step": 1465
2062
+ },
2063
+ {
2064
+ "epoch": 2.8767123287671232,
2065
+ "grad_norm": 0.6155837178230286,
2066
+ "learning_rate": 1.4279334018655222e-07,
2067
+ "loss": 0.0651,
2068
+ "step": 1470
2069
+ },
2070
+ {
2071
+ "epoch": 2.8864970645792565,
2072
+ "grad_norm": 0.5353571176528931,
2073
+ "learning_rate": 1.2138238909221055e-07,
2074
+ "loss": 0.0607,
2075
+ "step": 1475
2076
+ },
2077
+ {
2078
+ "epoch": 2.8962818003913893,
2079
+ "grad_norm": 0.5011776685714722,
2080
+ "learning_rate": 1.0170314883219678e-07,
2081
+ "loss": 0.0712,
2082
+ "step": 1480
2083
+ },
2084
+ {
2085
+ "epoch": 2.9060665362035225,
2086
+ "grad_norm": 0.5339565873146057,
2087
+ "learning_rate": 8.375790985811759e-08,
2088
+ "loss": 0.0633,
2089
+ "step": 1485
2090
+ },
2091
+ {
2092
+ "epoch": 2.9158512720156553,
2093
+ "grad_norm": 0.6261019706726074,
2094
+ "learning_rate": 6.754876080250161e-08,
2095
+ "loss": 0.0682,
2096
+ "step": 1490
2097
+ },
2098
+ {
2099
+ "epoch": 2.9256360078277885,
2100
+ "grad_norm": 0.5683228969573975,
2101
+ "learning_rate": 5.307758823571374e-08,
2102
+ "loss": 0.0651,
2103
+ "step": 1495
2104
+ },
2105
+ {
2106
+ "epoch": 2.935420743639922,
2107
+ "grad_norm": 0.567682147026062,
2108
+ "learning_rate": 4.034607644637089e-08,
2109
+ "loss": 0.0696,
2110
+ "step": 1500
2111
+ },
2112
+ {
2113
+ "epoch": 2.9452054794520546,
2114
+ "grad_norm": 0.6584129333496094,
2115
+ "learning_rate": 2.935570724532044e-08,
2116
+ "loss": 0.0612,
2117
+ "step": 1505
2118
+ },
2119
+ {
2120
+ "epoch": 2.954990215264188,
2121
+ "grad_norm": 0.5677846670150757,
2122
+ "learning_rate": 2.0107759793158154e-08,
2123
+ "loss": 0.0675,
2124
+ "step": 1510
2125
+ },
2126
+ {
2127
+ "epoch": 2.964774951076321,
2128
+ "grad_norm": 0.5319307446479797,
2129
+ "learning_rate": 1.2603310451358984e-08,
2130
+ "loss": 0.0611,
2131
+ "step": 1515
2132
+ },
2133
+ {
2134
+ "epoch": 2.974559686888454,
2135
+ "grad_norm": 0.6892783045768738,
2136
+ "learning_rate": 6.8432326569989325e-09,
2137
+ "loss": 0.0712,
2138
+ "step": 1520
2139
+ },
2140
+ {
2141
+ "epoch": 2.984344422700587,
2142
+ "grad_norm": 0.6270133256912231,
2143
+ "learning_rate": 2.8281968210913665e-09,
2144
+ "loss": 0.0602,
2145
+ "step": 1525
2146
+ },
2147
+ {
2148
+ "epoch": 2.9941291585127203,
2149
+ "grad_norm": 0.6447855234146118,
2150
+ "learning_rate": 5.586702505627761e-10,
2151
+ "loss": 0.0703,
2152
+ "step": 1530
2153
+ },
2154
+ {
2155
+ "epoch": 3.0,
2156
+ "step": 1533,
2157
+ "total_flos": 2.0550851304557117e+18,
2158
+ "train_loss": 0.3431719825186919,
2159
+ "train_runtime": 983.7331,
2160
+ "train_samples_per_second": 49.852,
2161
+ "train_steps_per_second": 1.558
2162
+ }
2163
+ ],
2164
+ "logging_steps": 5,
2165
+ "max_steps": 1533,
2166
+ "num_input_tokens_seen": 0,
2167
+ "num_train_epochs": 3,
2168
+ "save_steps": 20000,
2169
+ "stateful_callbacks": {
2170
+ "TrainerControl": {
2171
+ "args": {
2172
+ "should_epoch_stop": false,
2173
+ "should_evaluate": false,
2174
+ "should_log": false,
2175
+ "should_save": false,
2176
+ "should_training_stop": false
2177
+ },
2178
+ "attributes": {}
2179
+ }
2180
+ },
2181
+ "total_flos": 2.0550851304557117e+18,
2182
+ "train_batch_size": 2,
2183
+ "trial_name": null,
2184
+ "trial_params": null
2185
+ }
136_128_e3_3e-5/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b7bf4cce4d7a8d2b79e3170e563270d6585726d22dcee90c1f435d146d47b627
3
+ size 8273
136_128_e3_3e-5/vocab.json ADDED
The diff for this file is too large to render. See raw diff