RayDu0010 commited on
Commit
13df2d6
·
verified ·
1 Parent(s): 3e42016

Upload folder using huggingface_hub

Browse files
instruct/132_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
+ "down_proj",
28
+ "gate_proj",
29
+ "up_proj",
30
+ "o_proj",
31
+ "v_proj",
32
+ "k_proj",
33
+ "q_proj"
34
+ ],
35
+ "task_type": "CAUSAL_LM",
36
+ "trainable_token_indices": null,
37
+ "use_dora": false,
38
+ "use_rslora": false
39
+ }
instruct/132_128_e3_3e-5/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a77dbf3b763a0dd613cb9dd3d8bcd478ded74a1c17bcd5593e6c7db12eb78154
3
+ size 791751704
instruct/132_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
+ }
instruct/132_128_e3_3e-5/all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 1.9777146565039227e+18,
4
+ "train_loss": 0.34789815965888576,
5
+ "train_runtime": 958.473,
6
+ "train_samples": 16515,
7
+ "train_samples_per_second": 51.692,
8
+ "train_steps_per_second": 1.618
9
+ }
instruct/132_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 %}
instruct/132_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
+ }
instruct/132_128_e3_3e-5/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
instruct/132_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
+ }
instruct/132_128_e3_3e-5/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
instruct/132_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
+ }
instruct/132_128_e3_3e-5/train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 1.9777146565039227e+18,
4
+ "train_loss": 0.34789815965888576,
5
+ "train_runtime": 958.473,
6
+ "train_samples": 16515,
7
+ "train_samples_per_second": 51.692,
8
+ "train_steps_per_second": 1.618
9
+ }
instruct/132_128_e3_3e-5/trainer_state.json ADDED
@@ -0,0 +1,2213 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 1551,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.00968054211035818,
14
+ "grad_norm": 2.583279848098755,
15
+ "learning_rate": 1.5384615384615385e-06,
16
+ "loss": 1.5901,
17
+ "step": 5
18
+ },
19
+ {
20
+ "epoch": 0.01936108422071636,
21
+ "grad_norm": 2.327331781387329,
22
+ "learning_rate": 3.4615384615384617e-06,
23
+ "loss": 1.5452,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.02904162633107454,
28
+ "grad_norm": 1.163156509399414,
29
+ "learning_rate": 5.384615384615385e-06,
30
+ "loss": 1.5435,
31
+ "step": 15
32
+ },
33
+ {
34
+ "epoch": 0.03872216844143272,
35
+ "grad_norm": 0.7100193500518799,
36
+ "learning_rate": 7.307692307692308e-06,
37
+ "loss": 1.4538,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.0484027105517909,
42
+ "grad_norm": 0.5339156985282898,
43
+ "learning_rate": 9.230769230769232e-06,
44
+ "loss": 1.4066,
45
+ "step": 25
46
+ },
47
+ {
48
+ "epoch": 0.05808325266214908,
49
+ "grad_norm": 1.694186806678772,
50
+ "learning_rate": 1.1153846153846154e-05,
51
+ "loss": 1.4152,
52
+ "step": 30
53
+ },
54
+ {
55
+ "epoch": 0.06776379477250725,
56
+ "grad_norm": 0.439001202583313,
57
+ "learning_rate": 1.3076923076923078e-05,
58
+ "loss": 1.3806,
59
+ "step": 35
60
+ },
61
+ {
62
+ "epoch": 0.07744433688286544,
63
+ "grad_norm": 0.39944788813591003,
64
+ "learning_rate": 1.5e-05,
65
+ "loss": 1.3968,
66
+ "step": 40
67
+ },
68
+ {
69
+ "epoch": 0.08712487899322362,
70
+ "grad_norm": 0.38715052604675293,
71
+ "learning_rate": 1.6923076923076924e-05,
72
+ "loss": 1.3906,
73
+ "step": 45
74
+ },
75
+ {
76
+ "epoch": 0.0968054211035818,
77
+ "grad_norm": 0.38308534026145935,
78
+ "learning_rate": 1.8846153846153846e-05,
79
+ "loss": 1.2742,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.10648596321393998,
84
+ "grad_norm": 0.38592132925987244,
85
+ "learning_rate": 2.076923076923077e-05,
86
+ "loss": 1.3535,
87
+ "step": 55
88
+ },
89
+ {
90
+ "epoch": 0.11616650532429816,
91
+ "grad_norm": 0.4268631041049957,
92
+ "learning_rate": 2.269230769230769e-05,
93
+ "loss": 1.3148,
94
+ "step": 60
95
+ },
96
+ {
97
+ "epoch": 0.12584704743465633,
98
+ "grad_norm": 0.4614173471927643,
99
+ "learning_rate": 2.4615384615384616e-05,
100
+ "loss": 1.3011,
101
+ "step": 65
102
+ },
103
+ {
104
+ "epoch": 0.1355275895450145,
105
+ "grad_norm": 0.4473826587200165,
106
+ "learning_rate": 2.6538461538461538e-05,
107
+ "loss": 1.2748,
108
+ "step": 70
109
+ },
110
+ {
111
+ "epoch": 0.1452081316553727,
112
+ "grad_norm": 0.49146828055381775,
113
+ "learning_rate": 2.846153846153846e-05,
114
+ "loss": 1.2566,
115
+ "step": 75
116
+ },
117
+ {
118
+ "epoch": 0.15488867376573087,
119
+ "grad_norm": 0.4352293908596039,
120
+ "learning_rate": 2.9999965884216442e-05,
121
+ "loss": 1.2518,
122
+ "step": 80
123
+ },
124
+ {
125
+ "epoch": 0.16456921587608905,
126
+ "grad_norm": 0.49563130736351013,
127
+ "learning_rate": 2.9998771848086157e-05,
128
+ "loss": 1.2032,
129
+ "step": 85
130
+ },
131
+ {
132
+ "epoch": 0.17424975798644723,
133
+ "grad_norm": 0.4918646216392517,
134
+ "learning_rate": 2.999587217795956e-05,
135
+ "loss": 1.2152,
136
+ "step": 90
137
+ },
138
+ {
139
+ "epoch": 0.18393030009680542,
140
+ "grad_norm": 0.4999397099018097,
141
+ "learning_rate": 2.9991267203582057e-05,
142
+ "loss": 1.2425,
143
+ "step": 95
144
+ },
145
+ {
146
+ "epoch": 0.1936108422071636,
147
+ "grad_norm": 0.5701794028282166,
148
+ "learning_rate": 2.9984957448623232e-05,
149
+ "loss": 1.1597,
150
+ "step": 100
151
+ },
152
+ {
153
+ "epoch": 0.20329138431752178,
154
+ "grad_norm": 0.5733001232147217,
155
+ "learning_rate": 2.997694363061735e-05,
156
+ "loss": 1.1118,
157
+ "step": 105
158
+ },
159
+ {
160
+ "epoch": 0.21297192642787996,
161
+ "grad_norm": 0.5916318297386169,
162
+ "learning_rate": 2.9967226660881714e-05,
163
+ "loss": 1.1079,
164
+ "step": 110
165
+ },
166
+ {
167
+ "epoch": 0.22265246853823814,
168
+ "grad_norm": 0.6237680315971375,
169
+ "learning_rate": 2.995580764441307e-05,
170
+ "loss": 1.1602,
171
+ "step": 115
172
+ },
173
+ {
174
+ "epoch": 0.23233301064859632,
175
+ "grad_norm": 0.6868143081665039,
176
+ "learning_rate": 2.9942687879761912e-05,
177
+ "loss": 1.1234,
178
+ "step": 120
179
+ },
180
+ {
181
+ "epoch": 0.2420135527589545,
182
+ "grad_norm": 0.71219402551651,
183
+ "learning_rate": 2.9927868858884833e-05,
184
+ "loss": 1.1008,
185
+ "step": 125
186
+ },
187
+ {
188
+ "epoch": 0.25169409486931266,
189
+ "grad_norm": 0.6303288340568542,
190
+ "learning_rate": 2.9911352266974873e-05,
191
+ "loss": 1.0822,
192
+ "step": 130
193
+ },
194
+ {
195
+ "epoch": 0.26137463697967084,
196
+ "grad_norm": 0.6709757447242737,
197
+ "learning_rate": 2.989313998226986e-05,
198
+ "loss": 1.0946,
199
+ "step": 135
200
+ },
201
+ {
202
+ "epoch": 0.271055179090029,
203
+ "grad_norm": 0.6479235291481018,
204
+ "learning_rate": 2.987323407583882e-05,
205
+ "loss": 0.9723,
206
+ "step": 140
207
+ },
208
+ {
209
+ "epoch": 0.2807357212003872,
210
+ "grad_norm": 0.754619300365448,
211
+ "learning_rate": 2.9851636811346486e-05,
212
+ "loss": 0.9898,
213
+ "step": 145
214
+ },
215
+ {
216
+ "epoch": 0.2904162633107454,
217
+ "grad_norm": 0.7568475008010864,
218
+ "learning_rate": 2.982835064479585e-05,
219
+ "loss": 1.0191,
220
+ "step": 150
221
+ },
222
+ {
223
+ "epoch": 0.30009680542110356,
224
+ "grad_norm": 0.744417130947113,
225
+ "learning_rate": 2.9803378224248876e-05,
226
+ "loss": 0.9737,
227
+ "step": 155
228
+ },
229
+ {
230
+ "epoch": 0.30977734753146174,
231
+ "grad_norm": 0.7898931503295898,
232
+ "learning_rate": 2.9776722389525376e-05,
233
+ "loss": 0.9596,
234
+ "step": 160
235
+ },
236
+ {
237
+ "epoch": 0.3194578896418199,
238
+ "grad_norm": 0.8161885738372803,
239
+ "learning_rate": 2.9748386171880074e-05,
240
+ "loss": 0.9326,
241
+ "step": 165
242
+ },
243
+ {
244
+ "epoch": 0.3291384317521781,
245
+ "grad_norm": 0.824617326259613,
246
+ "learning_rate": 2.9718372793657878e-05,
247
+ "loss": 0.9664,
248
+ "step": 170
249
+ },
250
+ {
251
+ "epoch": 0.3388189738625363,
252
+ "grad_norm": 0.7713361978530884,
253
+ "learning_rate": 2.9686685667927455e-05,
254
+ "loss": 0.8652,
255
+ "step": 175
256
+ },
257
+ {
258
+ "epoch": 0.34849951597289447,
259
+ "grad_norm": 0.8308248519897461,
260
+ "learning_rate": 2.9653328398093098e-05,
261
+ "loss": 0.8885,
262
+ "step": 180
263
+ },
264
+ {
265
+ "epoch": 0.35818005808325265,
266
+ "grad_norm": 0.9614322185516357,
267
+ "learning_rate": 2.9618304777484954e-05,
268
+ "loss": 0.9107,
269
+ "step": 185
270
+ },
271
+ {
272
+ "epoch": 0.36786060019361083,
273
+ "grad_norm": 0.8611675500869751,
274
+ "learning_rate": 2.9581618788927657e-05,
275
+ "loss": 0.8838,
276
+ "step": 190
277
+ },
278
+ {
279
+ "epoch": 0.377541142303969,
280
+ "grad_norm": 0.9881988167762756,
281
+ "learning_rate": 2.9543274604287414e-05,
282
+ "loss": 0.8771,
283
+ "step": 195
284
+ },
285
+ {
286
+ "epoch": 0.3872216844143272,
287
+ "grad_norm": 0.8338304758071899,
288
+ "learning_rate": 2.950327658399756e-05,
289
+ "loss": 0.8609,
290
+ "step": 200
291
+ },
292
+ {
293
+ "epoch": 0.3969022265246854,
294
+ "grad_norm": 0.9100682735443115,
295
+ "learning_rate": 2.9461629276562717e-05,
296
+ "loss": 0.8169,
297
+ "step": 205
298
+ },
299
+ {
300
+ "epoch": 0.40658276863504356,
301
+ "grad_norm": 1.0720361471176147,
302
+ "learning_rate": 2.941833741804157e-05,
303
+ "loss": 0.8149,
304
+ "step": 210
305
+ },
306
+ {
307
+ "epoch": 0.41626331074540174,
308
+ "grad_norm": 0.9578617811203003,
309
+ "learning_rate": 2.9373405931508237e-05,
310
+ "loss": 0.8855,
311
+ "step": 215
312
+ },
313
+ {
314
+ "epoch": 0.4259438528557599,
315
+ "grad_norm": 0.9943941831588745,
316
+ "learning_rate": 2.9326839926492473e-05,
317
+ "loss": 0.799,
318
+ "step": 220
319
+ },
320
+ {
321
+ "epoch": 0.4356243949661181,
322
+ "grad_norm": 0.9589488506317139,
323
+ "learning_rate": 2.9278644698398585e-05,
324
+ "loss": 0.7855,
325
+ "step": 225
326
+ },
327
+ {
328
+ "epoch": 0.4453049370764763,
329
+ "grad_norm": 0.9750145077705383,
330
+ "learning_rate": 2.922882572790329e-05,
331
+ "loss": 0.7451,
332
+ "step": 230
333
+ },
334
+ {
335
+ "epoch": 0.45498547918683446,
336
+ "grad_norm": 1.1122719049453735,
337
+ "learning_rate": 2.917738868033243e-05,
338
+ "loss": 0.7813,
339
+ "step": 235
340
+ },
341
+ {
342
+ "epoch": 0.46466602129719264,
343
+ "grad_norm": 0.9726570248603821,
344
+ "learning_rate": 2.912433940501673e-05,
345
+ "loss": 0.7538,
346
+ "step": 240
347
+ },
348
+ {
349
+ "epoch": 0.4743465634075508,
350
+ "grad_norm": 0.9562707543373108,
351
+ "learning_rate": 2.906968393462661e-05,
352
+ "loss": 0.745,
353
+ "step": 245
354
+ },
355
+ {
356
+ "epoch": 0.484027105517909,
357
+ "grad_norm": 0.9341024160385132,
358
+ "learning_rate": 2.9013428484486202e-05,
359
+ "loss": 0.7205,
360
+ "step": 250
361
+ },
362
+ {
363
+ "epoch": 0.4937076476282672,
364
+ "grad_norm": 1.0728899240493774,
365
+ "learning_rate": 2.89555794518665e-05,
366
+ "loss": 0.7173,
367
+ "step": 255
368
+ },
369
+ {
370
+ "epoch": 0.5033881897386253,
371
+ "grad_norm": 1.091996669769287,
372
+ "learning_rate": 2.8896143415257916e-05,
373
+ "loss": 0.6832,
374
+ "step": 260
375
+ },
376
+ {
377
+ "epoch": 0.5130687318489835,
378
+ "grad_norm": 0.940743088722229,
379
+ "learning_rate": 2.883512713362216e-05,
380
+ "loss": 0.7173,
381
+ "step": 265
382
+ },
383
+ {
384
+ "epoch": 0.5227492739593417,
385
+ "grad_norm": 0.9621837735176086,
386
+ "learning_rate": 2.8772537545623626e-05,
387
+ "loss": 0.7261,
388
+ "step": 270
389
+ },
390
+ {
391
+ "epoch": 0.5324298160696999,
392
+ "grad_norm": 1.0028799772262573,
393
+ "learning_rate": 2.870838176884036e-05,
394
+ "loss": 0.6776,
395
+ "step": 275
396
+ },
397
+ {
398
+ "epoch": 0.542110358180058,
399
+ "grad_norm": 1.0846943855285645,
400
+ "learning_rate": 2.8642667098954637e-05,
401
+ "loss": 0.6937,
402
+ "step": 280
403
+ },
404
+ {
405
+ "epoch": 0.5517909002904162,
406
+ "grad_norm": 1.256654977798462,
407
+ "learning_rate": 2.857540100892332e-05,
408
+ "loss": 0.6865,
409
+ "step": 285
410
+ },
411
+ {
412
+ "epoch": 0.5614714424007744,
413
+ "grad_norm": 1.0469144582748413,
414
+ "learning_rate": 2.8506591148128046e-05,
415
+ "loss": 0.6662,
416
+ "step": 290
417
+ },
418
+ {
419
+ "epoch": 0.5711519845111326,
420
+ "grad_norm": 1.1145750284194946,
421
+ "learning_rate": 2.8436245341505348e-05,
422
+ "loss": 0.6901,
423
+ "step": 295
424
+ },
425
+ {
426
+ "epoch": 0.5808325266214908,
427
+ "grad_norm": 0.9869698286056519,
428
+ "learning_rate": 2.8364371588656832e-05,
429
+ "loss": 0.615,
430
+ "step": 300
431
+ },
432
+ {
433
+ "epoch": 0.590513068731849,
434
+ "grad_norm": 1.132925271987915,
435
+ "learning_rate": 2.829097806293946e-05,
436
+ "loss": 0.6539,
437
+ "step": 305
438
+ },
439
+ {
440
+ "epoch": 0.6001936108422071,
441
+ "grad_norm": 1.0004526376724243,
442
+ "learning_rate": 2.821607311053609e-05,
443
+ "loss": 0.5814,
444
+ "step": 310
445
+ },
446
+ {
447
+ "epoch": 0.6098741529525653,
448
+ "grad_norm": 1.0933210849761963,
449
+ "learning_rate": 2.813966524950638e-05,
450
+ "loss": 0.6049,
451
+ "step": 315
452
+ },
453
+ {
454
+ "epoch": 0.6195546950629235,
455
+ "grad_norm": 1.2509098052978516,
456
+ "learning_rate": 2.806176316881811e-05,
457
+ "loss": 0.5684,
458
+ "step": 320
459
+ },
460
+ {
461
+ "epoch": 0.6292352371732817,
462
+ "grad_norm": 1.1069066524505615,
463
+ "learning_rate": 2.798237572735909e-05,
464
+ "loss": 0.6273,
465
+ "step": 325
466
+ },
467
+ {
468
+ "epoch": 0.6389157792836399,
469
+ "grad_norm": 1.0906236171722412,
470
+ "learning_rate": 2.790151195292977e-05,
471
+ "loss": 0.5819,
472
+ "step": 330
473
+ },
474
+ {
475
+ "epoch": 0.648596321393998,
476
+ "grad_norm": 1.2983148097991943,
477
+ "learning_rate": 2.781918104121657e-05,
478
+ "loss": 0.5535,
479
+ "step": 335
480
+ },
481
+ {
482
+ "epoch": 0.6582768635043562,
483
+ "grad_norm": 1.031111478805542,
484
+ "learning_rate": 2.7735392354746198e-05,
485
+ "loss": 0.4973,
486
+ "step": 340
487
+ },
488
+ {
489
+ "epoch": 0.6679574056147144,
490
+ "grad_norm": 1.2123416662216187,
491
+ "learning_rate": 2.765015542182094e-05,
492
+ "loss": 0.574,
493
+ "step": 345
494
+ },
495
+ {
496
+ "epoch": 0.6776379477250726,
497
+ "grad_norm": 1.1910861730575562,
498
+ "learning_rate": 2.7563479935435137e-05,
499
+ "loss": 0.5954,
500
+ "step": 350
501
+ },
502
+ {
503
+ "epoch": 0.6873184898354308,
504
+ "grad_norm": 1.1290500164031982,
505
+ "learning_rate": 2.747537575217289e-05,
506
+ "loss": 0.5541,
507
+ "step": 355
508
+ },
509
+ {
510
+ "epoch": 0.6969990319457889,
511
+ "grad_norm": 1.444022297859192,
512
+ "learning_rate": 2.7385852891087212e-05,
513
+ "loss": 0.4998,
514
+ "step": 360
515
+ },
516
+ {
517
+ "epoch": 0.7066795740561471,
518
+ "grad_norm": 1.2342149019241333,
519
+ "learning_rate": 2.7294921532560652e-05,
520
+ "loss": 0.5216,
521
+ "step": 365
522
+ },
523
+ {
524
+ "epoch": 0.7163601161665053,
525
+ "grad_norm": 1.122484803199768,
526
+ "learning_rate": 2.720259201714763e-05,
527
+ "loss": 0.5275,
528
+ "step": 370
529
+ },
530
+ {
531
+ "epoch": 0.7260406582768635,
532
+ "grad_norm": 1.0921597480773926,
533
+ "learning_rate": 2.7108874844398508e-05,
534
+ "loss": 0.4735,
535
+ "step": 375
536
+ },
537
+ {
538
+ "epoch": 0.7357212003872217,
539
+ "grad_norm": 1.0548079013824463,
540
+ "learning_rate": 2.7013780671665595e-05,
541
+ "loss": 0.5154,
542
+ "step": 380
543
+ },
544
+ {
545
+ "epoch": 0.7454017424975798,
546
+ "grad_norm": 1.1719199419021606,
547
+ "learning_rate": 2.6917320312891232e-05,
548
+ "loss": 0.5148,
549
+ "step": 385
550
+ },
551
+ {
552
+ "epoch": 0.755082284607938,
553
+ "grad_norm": 1.2420458793640137,
554
+ "learning_rate": 2.6819504737378024e-05,
555
+ "loss": 0.5132,
556
+ "step": 390
557
+ },
558
+ {
559
+ "epoch": 0.7647628267182962,
560
+ "grad_norm": 1.1030137538909912,
561
+ "learning_rate": 2.6720345068541464e-05,
562
+ "loss": 0.4968,
563
+ "step": 395
564
+ },
565
+ {
566
+ "epoch": 0.7744433688286544,
567
+ "grad_norm": 1.213926911354065,
568
+ "learning_rate": 2.661985258264495e-05,
569
+ "loss": 0.4562,
570
+ "step": 400
571
+ },
572
+ {
573
+ "epoch": 0.7841239109390126,
574
+ "grad_norm": 1.185013771057129,
575
+ "learning_rate": 2.6518038707517524e-05,
576
+ "loss": 0.4773,
577
+ "step": 405
578
+ },
579
+ {
580
+ "epoch": 0.7938044530493708,
581
+ "grad_norm": 1.246468424797058,
582
+ "learning_rate": 2.6414915021254267e-05,
583
+ "loss": 0.419,
584
+ "step": 410
585
+ },
586
+ {
587
+ "epoch": 0.8034849951597289,
588
+ "grad_norm": 1.1366288661956787,
589
+ "learning_rate": 2.6310493250899696e-05,
590
+ "loss": 0.4803,
591
+ "step": 415
592
+ },
593
+ {
594
+ "epoch": 0.8131655372700871,
595
+ "grad_norm": 1.1719627380371094,
596
+ "learning_rate": 2.6204785271114175e-05,
597
+ "loss": 0.4811,
598
+ "step": 420
599
+ },
600
+ {
601
+ "epoch": 0.8228460793804453,
602
+ "grad_norm": 1.2611087560653687,
603
+ "learning_rate": 2.6097803102823526e-05,
604
+ "loss": 0.4355,
605
+ "step": 425
606
+ },
607
+ {
608
+ "epoch": 0.8325266214908035,
609
+ "grad_norm": 1.2296397686004639,
610
+ "learning_rate": 2.598955891185208e-05,
611
+ "loss": 0.4454,
612
+ "step": 430
613
+ },
614
+ {
615
+ "epoch": 0.8422071636011617,
616
+ "grad_norm": 1.3506165742874146,
617
+ "learning_rate": 2.588006500753914e-05,
618
+ "loss": 0.3936,
619
+ "step": 435
620
+ },
621
+ {
622
+ "epoch": 0.8518877057115198,
623
+ "grad_norm": 1.1522878408432007,
624
+ "learning_rate": 2.576933384133924e-05,
625
+ "loss": 0.4067,
626
+ "step": 440
627
+ },
628
+ {
629
+ "epoch": 0.861568247821878,
630
+ "grad_norm": 1.2492619752883911,
631
+ "learning_rate": 2.5657378005406143e-05,
632
+ "loss": 0.4197,
633
+ "step": 445
634
+ },
635
+ {
636
+ "epoch": 0.8712487899322362,
637
+ "grad_norm": 1.1224294900894165,
638
+ "learning_rate": 2.5544210231160925e-05,
639
+ "loss": 0.4367,
640
+ "step": 450
641
+ },
642
+ {
643
+ "epoch": 0.8809293320425944,
644
+ "grad_norm": 1.2644156217575073,
645
+ "learning_rate": 2.542984338784414e-05,
646
+ "loss": 0.4088,
647
+ "step": 455
648
+ },
649
+ {
650
+ "epoch": 0.8906098741529526,
651
+ "grad_norm": 1.1783829927444458,
652
+ "learning_rate": 2.5314290481052378e-05,
653
+ "loss": 0.4556,
654
+ "step": 460
655
+ },
656
+ {
657
+ "epoch": 0.9002904162633107,
658
+ "grad_norm": 1.1985176801681519,
659
+ "learning_rate": 2.5197564651259292e-05,
660
+ "loss": 0.4281,
661
+ "step": 465
662
+ },
663
+ {
664
+ "epoch": 0.9099709583736689,
665
+ "grad_norm": 1.300177812576294,
666
+ "learning_rate": 2.507967917232127e-05,
667
+ "loss": 0.3923,
668
+ "step": 470
669
+ },
670
+ {
671
+ "epoch": 0.9196515004840271,
672
+ "grad_norm": 1.383947491645813,
673
+ "learning_rate": 2.4960647449967962e-05,
674
+ "loss": 0.4202,
675
+ "step": 475
676
+ },
677
+ {
678
+ "epoch": 0.9293320425943853,
679
+ "grad_norm": 1.2635477781295776,
680
+ "learning_rate": 2.4840483020277814e-05,
681
+ "loss": 0.4364,
682
+ "step": 480
683
+ },
684
+ {
685
+ "epoch": 0.9390125847047435,
686
+ "grad_norm": 1.1635620594024658,
687
+ "learning_rate": 2.471919954813876e-05,
688
+ "loss": 0.3902,
689
+ "step": 485
690
+ },
691
+ {
692
+ "epoch": 0.9486931268151017,
693
+ "grad_norm": 1.205683946609497,
694
+ "learning_rate": 2.4596810825694272e-05,
695
+ "loss": 0.3769,
696
+ "step": 490
697
+ },
698
+ {
699
+ "epoch": 0.9583736689254598,
700
+ "grad_norm": 1.163185954093933,
701
+ "learning_rate": 2.447333077077495e-05,
702
+ "loss": 0.3673,
703
+ "step": 495
704
+ },
705
+ {
706
+ "epoch": 0.968054211035818,
707
+ "grad_norm": 1.1635117530822754,
708
+ "learning_rate": 2.4348773425315805e-05,
709
+ "loss": 0.3854,
710
+ "step": 500
711
+ },
712
+ {
713
+ "epoch": 0.9777347531461762,
714
+ "grad_norm": 1.2384796142578125,
715
+ "learning_rate": 2.4223152953759435e-05,
716
+ "loss": 0.3955,
717
+ "step": 505
718
+ },
719
+ {
720
+ "epoch": 0.9874152952565344,
721
+ "grad_norm": 1.4900280237197876,
722
+ "learning_rate": 2.4096483641445277e-05,
723
+ "loss": 0.3516,
724
+ "step": 510
725
+ },
726
+ {
727
+ "epoch": 0.9970958373668926,
728
+ "grad_norm": 1.1215156316757202,
729
+ "learning_rate": 2.3968779892985084e-05,
730
+ "loss": 0.3465,
731
+ "step": 515
732
+ },
733
+ {
734
+ "epoch": 1.0058083252662149,
735
+ "grad_norm": 1.3642420768737793,
736
+ "learning_rate": 2.3840056230624888e-05,
737
+ "loss": 0.2815,
738
+ "step": 520
739
+ },
740
+ {
741
+ "epoch": 1.0154888673765732,
742
+ "grad_norm": 1.1887036561965942,
743
+ "learning_rate": 2.3710327292593528e-05,
744
+ "loss": 0.2545,
745
+ "step": 525
746
+ },
747
+ {
748
+ "epoch": 1.0251694094869312,
749
+ "grad_norm": 1.1791625022888184,
750
+ "learning_rate": 2.3579607831438023e-05,
751
+ "loss": 0.3239,
752
+ "step": 530
753
+ },
754
+ {
755
+ "epoch": 1.0348499515972895,
756
+ "grad_norm": 1.1845959424972534,
757
+ "learning_rate": 2.344791271234596e-05,
758
+ "loss": 0.2679,
759
+ "step": 535
760
+ },
761
+ {
762
+ "epoch": 1.0445304937076476,
763
+ "grad_norm": 1.1946723461151123,
764
+ "learning_rate": 2.3315256911455007e-05,
765
+ "loss": 0.3076,
766
+ "step": 540
767
+ },
768
+ {
769
+ "epoch": 1.054211035818006,
770
+ "grad_norm": 1.2731225490570068,
771
+ "learning_rate": 2.3181655514149913e-05,
772
+ "loss": 0.3044,
773
+ "step": 545
774
+ },
775
+ {
776
+ "epoch": 1.063891577928364,
777
+ "grad_norm": 1.0046724081039429,
778
+ "learning_rate": 2.3047123713346955e-05,
779
+ "loss": 0.2585,
780
+ "step": 550
781
+ },
782
+ {
783
+ "epoch": 1.0735721200387223,
784
+ "grad_norm": 1.3609782457351685,
785
+ "learning_rate": 2.291167680776629e-05,
786
+ "loss": 0.282,
787
+ "step": 555
788
+ },
789
+ {
790
+ "epoch": 1.0832526621490803,
791
+ "grad_norm": 1.2548587322235107,
792
+ "learning_rate": 2.2775330200192165e-05,
793
+ "loss": 0.27,
794
+ "step": 560
795
+ },
796
+ {
797
+ "epoch": 1.0929332042594386,
798
+ "grad_norm": 1.231648325920105,
799
+ "learning_rate": 2.2638099395721365e-05,
800
+ "loss": 0.2503,
801
+ "step": 565
802
+ },
803
+ {
804
+ "epoch": 1.1026137463697967,
805
+ "grad_norm": 1.1396890878677368,
806
+ "learning_rate": 2.25e-05,
807
+ "loss": 0.2463,
808
+ "step": 570
809
+ },
810
+ {
811
+ "epoch": 1.112294288480155,
812
+ "grad_norm": 1.371836543083191,
813
+ "learning_rate": 2.2361047717448843e-05,
814
+ "loss": 0.2785,
815
+ "step": 575
816
+ },
817
+ {
818
+ "epoch": 1.121974830590513,
819
+ "grad_norm": 1.199236512184143,
820
+ "learning_rate": 2.222125834947745e-05,
821
+ "loss": 0.2866,
822
+ "step": 580
823
+ },
824
+ {
825
+ "epoch": 1.1316553727008714,
826
+ "grad_norm": 1.1279804706573486,
827
+ "learning_rate": 2.2080647792687295e-05,
828
+ "loss": 0.2342,
829
+ "step": 585
830
+ },
831
+ {
832
+ "epoch": 1.1413359148112294,
833
+ "grad_norm": 1.1763415336608887,
834
+ "learning_rate": 2.193923203706396e-05,
835
+ "loss": 0.2745,
836
+ "step": 590
837
+ },
838
+ {
839
+ "epoch": 1.1510164569215875,
840
+ "grad_norm": 1.2062084674835205,
841
+ "learning_rate": 2.1797027164158853e-05,
842
+ "loss": 0.2657,
843
+ "step": 595
844
+ },
845
+ {
846
+ "epoch": 1.1606969990319458,
847
+ "grad_norm": 1.436498761177063,
848
+ "learning_rate": 2.1654049345260404e-05,
849
+ "loss": 0.2564,
850
+ "step": 600
851
+ },
852
+ {
853
+ "epoch": 1.170377541142304,
854
+ "grad_norm": 1.1157000064849854,
855
+ "learning_rate": 2.151031483955511e-05,
856
+ "loss": 0.2498,
857
+ "step": 605
858
+ },
859
+ {
860
+ "epoch": 1.1800580832526621,
861
+ "grad_norm": 1.280535340309143,
862
+ "learning_rate": 2.136583999227855e-05,
863
+ "loss": 0.2427,
864
+ "step": 610
865
+ },
866
+ {
867
+ "epoch": 1.1897386253630202,
868
+ "grad_norm": 1.3744301795959473,
869
+ "learning_rate": 2.122064123285666e-05,
870
+ "loss": 0.2452,
871
+ "step": 615
872
+ },
873
+ {
874
+ "epoch": 1.1994191674733785,
875
+ "grad_norm": 1.1136362552642822,
876
+ "learning_rate": 2.1074735073037383e-05,
877
+ "loss": 0.2344,
878
+ "step": 620
879
+ },
880
+ {
881
+ "epoch": 1.2090997095837368,
882
+ "grad_norm": 1.187138319015503,
883
+ "learning_rate": 2.0928138105013e-05,
884
+ "loss": 0.2443,
885
+ "step": 625
886
+ },
887
+ {
888
+ "epoch": 1.2187802516940949,
889
+ "grad_norm": 1.3247230052947998,
890
+ "learning_rate": 2.0780866999533298e-05,
891
+ "loss": 0.2707,
892
+ "step": 630
893
+ },
894
+ {
895
+ "epoch": 1.228460793804453,
896
+ "grad_norm": 1.205047369003296,
897
+ "learning_rate": 2.0632938504009765e-05,
898
+ "loss": 0.2618,
899
+ "step": 635
900
+ },
901
+ {
902
+ "epoch": 1.2381413359148112,
903
+ "grad_norm": 0.9527857303619385,
904
+ "learning_rate": 2.048436944061115e-05,
905
+ "loss": 0.2766,
906
+ "step": 640
907
+ },
908
+ {
909
+ "epoch": 1.2478218780251695,
910
+ "grad_norm": 1.2868491411209106,
911
+ "learning_rate": 2.033517670435045e-05,
912
+ "loss": 0.2356,
913
+ "step": 645
914
+ },
915
+ {
916
+ "epoch": 1.2575024201355276,
917
+ "grad_norm": 1.2020649909973145,
918
+ "learning_rate": 2.018537726116365e-05,
919
+ "loss": 0.2272,
920
+ "step": 650
921
+ },
922
+ {
923
+ "epoch": 1.2671829622458857,
924
+ "grad_norm": 1.1579198837280273,
925
+ "learning_rate": 2.0034988145980376e-05,
926
+ "loss": 0.214,
927
+ "step": 655
928
+ },
929
+ {
930
+ "epoch": 1.276863504356244,
931
+ "grad_norm": 1.280042052268982,
932
+ "learning_rate": 1.988402646078672e-05,
933
+ "loss": 0.2269,
934
+ "step": 660
935
+ },
936
+ {
937
+ "epoch": 1.2865440464666023,
938
+ "grad_norm": 1.0474588871002197,
939
+ "learning_rate": 1.973250937268042e-05,
940
+ "loss": 0.1988,
941
+ "step": 665
942
+ },
943
+ {
944
+ "epoch": 1.2962245885769603,
945
+ "grad_norm": 1.1829776763916016,
946
+ "learning_rate": 1.9580454111918684e-05,
947
+ "loss": 0.2201,
948
+ "step": 670
949
+ },
950
+ {
951
+ "epoch": 1.3059051306873184,
952
+ "grad_norm": 1.1204521656036377,
953
+ "learning_rate": 1.9427877969958744e-05,
954
+ "loss": 0.2273,
955
+ "step": 675
956
+ },
957
+ {
958
+ "epoch": 1.3155856727976767,
959
+ "grad_norm": 1.1652275323867798,
960
+ "learning_rate": 1.9274798297491532e-05,
961
+ "loss": 0.2352,
962
+ "step": 680
963
+ },
964
+ {
965
+ "epoch": 1.325266214908035,
966
+ "grad_norm": 1.1074024438858032,
967
+ "learning_rate": 1.9121232502468594e-05,
968
+ "loss": 0.2423,
969
+ "step": 685
970
+ },
971
+ {
972
+ "epoch": 1.334946757018393,
973
+ "grad_norm": 1.2995609045028687,
974
+ "learning_rate": 1.896719804812247e-05,
975
+ "loss": 0.1961,
976
+ "step": 690
977
+ },
978
+ {
979
+ "epoch": 1.3446272991287511,
980
+ "grad_norm": 1.088392734527588,
981
+ "learning_rate": 1.8812712450980826e-05,
982
+ "loss": 0.2025,
983
+ "step": 695
984
+ },
985
+ {
986
+ "epoch": 1.3543078412391094,
987
+ "grad_norm": 1.0325970649719238,
988
+ "learning_rate": 1.8657793278874482e-05,
989
+ "loss": 0.175,
990
+ "step": 700
991
+ },
992
+ {
993
+ "epoch": 1.3639883833494677,
994
+ "grad_norm": 1.0761932134628296,
995
+ "learning_rate": 1.850245814893965e-05,
996
+ "loss": 0.185,
997
+ "step": 705
998
+ },
999
+ {
1000
+ "epoch": 1.3736689254598258,
1001
+ "grad_norm": 1.0386158227920532,
1002
+ "learning_rate": 1.8346724725614536e-05,
1003
+ "loss": 0.2387,
1004
+ "step": 710
1005
+ },
1006
+ {
1007
+ "epoch": 1.3833494675701838,
1008
+ "grad_norm": 1.1490120887756348,
1009
+ "learning_rate": 1.819061071863056e-05,
1010
+ "loss": 0.2068,
1011
+ "step": 715
1012
+ },
1013
+ {
1014
+ "epoch": 1.3930300096805421,
1015
+ "grad_norm": 1.108993411064148,
1016
+ "learning_rate": 1.803413388099847e-05,
1017
+ "loss": 0.179,
1018
+ "step": 720
1019
+ },
1020
+ {
1021
+ "epoch": 1.4027105517909004,
1022
+ "grad_norm": 1.114526391029358,
1023
+ "learning_rate": 1.7877312006989447e-05,
1024
+ "loss": 0.1856,
1025
+ "step": 725
1026
+ },
1027
+ {
1028
+ "epoch": 1.4123910939012585,
1029
+ "grad_norm": 1.197409749031067,
1030
+ "learning_rate": 1.772016293011163e-05,
1031
+ "loss": 0.1885,
1032
+ "step": 730
1033
+ },
1034
+ {
1035
+ "epoch": 1.4220716360116166,
1036
+ "grad_norm": 1.244173288345337,
1037
+ "learning_rate": 1.7562704521082084e-05,
1038
+ "loss": 0.181,
1039
+ "step": 735
1040
+ },
1041
+ {
1042
+ "epoch": 1.4317521781219749,
1043
+ "grad_norm": 1.1902437210083008,
1044
+ "learning_rate": 1.7404954685794582e-05,
1045
+ "loss": 0.1979,
1046
+ "step": 740
1047
+ },
1048
+ {
1049
+ "epoch": 1.441432720232333,
1050
+ "grad_norm": 1.2063813209533691,
1051
+ "learning_rate": 1.724693136328337e-05,
1052
+ "loss": 0.1774,
1053
+ "step": 745
1054
+ },
1055
+ {
1056
+ "epoch": 1.4511132623426912,
1057
+ "grad_norm": 1.2083414793014526,
1058
+ "learning_rate": 1.708865252368321e-05,
1059
+ "loss": 0.181,
1060
+ "step": 750
1061
+ },
1062
+ {
1063
+ "epoch": 1.4607938044530493,
1064
+ "grad_norm": 0.9992215633392334,
1065
+ "learning_rate": 1.693013616618578e-05,
1066
+ "loss": 0.1757,
1067
+ "step": 755
1068
+ },
1069
+ {
1070
+ "epoch": 1.4704743465634076,
1071
+ "grad_norm": 1.1482878923416138,
1072
+ "learning_rate": 1.6771400316992902e-05,
1073
+ "loss": 0.1978,
1074
+ "step": 760
1075
+ },
1076
+ {
1077
+ "epoch": 1.4801548886737657,
1078
+ "grad_norm": 1.2638379335403442,
1079
+ "learning_rate": 1.661246302726661e-05,
1080
+ "loss": 0.1742,
1081
+ "step": 765
1082
+ },
1083
+ {
1084
+ "epoch": 1.489835430784124,
1085
+ "grad_norm": 1.1536481380462646,
1086
+ "learning_rate": 1.645334237107638e-05,
1087
+ "loss": 0.1938,
1088
+ "step": 770
1089
+ },
1090
+ {
1091
+ "epoch": 1.499515972894482,
1092
+ "grad_norm": 1.0423345565795898,
1093
+ "learning_rate": 1.6294056443343824e-05,
1094
+ "loss": 0.1452,
1095
+ "step": 775
1096
+ },
1097
+ {
1098
+ "epoch": 1.5091965150048403,
1099
+ "grad_norm": 1.4653370380401611,
1100
+ "learning_rate": 1.6134623357784927e-05,
1101
+ "loss": 0.1753,
1102
+ "step": 780
1103
+ },
1104
+ {
1105
+ "epoch": 1.5188770571151986,
1106
+ "grad_norm": 1.1847798824310303,
1107
+ "learning_rate": 1.5975061244850214e-05,
1108
+ "loss": 0.1554,
1109
+ "step": 785
1110
+ },
1111
+ {
1112
+ "epoch": 1.5285575992255567,
1113
+ "grad_norm": 1.3937023878097534,
1114
+ "learning_rate": 1.5815388249662973e-05,
1115
+ "loss": 0.1517,
1116
+ "step": 790
1117
+ },
1118
+ {
1119
+ "epoch": 1.5382381413359147,
1120
+ "grad_norm": 1.4321658611297607,
1121
+ "learning_rate": 1.5655622529955823e-05,
1122
+ "loss": 0.1645,
1123
+ "step": 795
1124
+ },
1125
+ {
1126
+ "epoch": 1.547918683446273,
1127
+ "grad_norm": 1.2445905208587646,
1128
+ "learning_rate": 1.549578225400586e-05,
1129
+ "loss": 0.1636,
1130
+ "step": 800
1131
+ },
1132
+ {
1133
+ "epoch": 1.5575992255566313,
1134
+ "grad_norm": 1.068450927734375,
1135
+ "learning_rate": 1.533588559856857e-05,
1136
+ "loss": 0.1764,
1137
+ "step": 805
1138
+ },
1139
+ {
1140
+ "epoch": 1.5672797676669894,
1141
+ "grad_norm": 1.0307741165161133,
1142
+ "learning_rate": 1.5175950746810843e-05,
1143
+ "loss": 0.1601,
1144
+ "step": 810
1145
+ },
1146
+ {
1147
+ "epoch": 1.5769603097773475,
1148
+ "grad_norm": 1.140405297279358,
1149
+ "learning_rate": 1.5015995886243164e-05,
1150
+ "loss": 0.1509,
1151
+ "step": 815
1152
+ },
1153
+ {
1154
+ "epoch": 1.5866408518877058,
1155
+ "grad_norm": 1.0222396850585938,
1156
+ "learning_rate": 1.4856039206651385e-05,
1157
+ "loss": 0.1437,
1158
+ "step": 820
1159
+ },
1160
+ {
1161
+ "epoch": 1.596321393998064,
1162
+ "grad_norm": 1.1660407781600952,
1163
+ "learning_rate": 1.469609889802823e-05,
1164
+ "loss": 0.1769,
1165
+ "step": 825
1166
+ },
1167
+ {
1168
+ "epoch": 1.6060019361084221,
1169
+ "grad_norm": 1.0608596801757812,
1170
+ "learning_rate": 1.4536193148504733e-05,
1171
+ "loss": 0.1725,
1172
+ "step": 830
1173
+ },
1174
+ {
1175
+ "epoch": 1.6156824782187802,
1176
+ "grad_norm": 0.8545246720314026,
1177
+ "learning_rate": 1.4376340142281926e-05,
1178
+ "loss": 0.138,
1179
+ "step": 835
1180
+ },
1181
+ {
1182
+ "epoch": 1.6253630203291385,
1183
+ "grad_norm": 1.0420597791671753,
1184
+ "learning_rate": 1.4216558057562984e-05,
1185
+ "loss": 0.1621,
1186
+ "step": 840
1187
+ },
1188
+ {
1189
+ "epoch": 1.6350435624394968,
1190
+ "grad_norm": 0.9588462710380554,
1191
+ "learning_rate": 1.4056865064485984e-05,
1192
+ "loss": 0.1556,
1193
+ "step": 845
1194
+ },
1195
+ {
1196
+ "epoch": 1.6447241045498546,
1197
+ "grad_norm": 0.8879302144050598,
1198
+ "learning_rate": 1.3897279323057679e-05,
1199
+ "loss": 0.1521,
1200
+ "step": 850
1201
+ },
1202
+ {
1203
+ "epoch": 1.654404646660213,
1204
+ "grad_norm": 1.1756333112716675,
1205
+ "learning_rate": 1.3737818981088347e-05,
1206
+ "loss": 0.128,
1207
+ "step": 855
1208
+ },
1209
+ {
1210
+ "epoch": 1.6640851887705712,
1211
+ "grad_norm": 1.2112951278686523,
1212
+ "learning_rate": 1.3578502172128063e-05,
1213
+ "loss": 0.1524,
1214
+ "step": 860
1215
+ },
1216
+ {
1217
+ "epoch": 1.6737657308809293,
1218
+ "grad_norm": 0.9899519681930542,
1219
+ "learning_rate": 1.3419347013404578e-05,
1220
+ "loss": 0.1288,
1221
+ "step": 865
1222
+ },
1223
+ {
1224
+ "epoch": 1.6834462729912874,
1225
+ "grad_norm": 1.134343147277832,
1226
+ "learning_rate": 1.3260371603763055e-05,
1227
+ "loss": 0.1277,
1228
+ "step": 870
1229
+ },
1230
+ {
1231
+ "epoch": 1.6931268151016456,
1232
+ "grad_norm": 1.2117475271224976,
1233
+ "learning_rate": 1.3101594021607923e-05,
1234
+ "loss": 0.1537,
1235
+ "step": 875
1236
+ },
1237
+ {
1238
+ "epoch": 1.702807357212004,
1239
+ "grad_norm": 0.9401290416717529,
1240
+ "learning_rate": 1.2943032322846995e-05,
1241
+ "loss": 0.1325,
1242
+ "step": 880
1243
+ },
1244
+ {
1245
+ "epoch": 1.712487899322362,
1246
+ "grad_norm": 0.9358014464378357,
1247
+ "learning_rate": 1.278470453883822e-05,
1248
+ "loss": 0.1434,
1249
+ "step": 885
1250
+ },
1251
+ {
1252
+ "epoch": 1.72216844143272,
1253
+ "grad_norm": 0.8018755912780762,
1254
+ "learning_rate": 1.2626628674339169e-05,
1255
+ "loss": 0.1332,
1256
+ "step": 890
1257
+ },
1258
+ {
1259
+ "epoch": 1.7318489835430784,
1260
+ "grad_norm": 0.9107668995857239,
1261
+ "learning_rate": 1.2468822705459568e-05,
1262
+ "loss": 0.1461,
1263
+ "step": 895
1264
+ },
1265
+ {
1266
+ "epoch": 1.7415295256534367,
1267
+ "grad_norm": 0.9294764995574951,
1268
+ "learning_rate": 1.2311304577617084e-05,
1269
+ "loss": 0.1392,
1270
+ "step": 900
1271
+ },
1272
+ {
1273
+ "epoch": 1.7512100677637947,
1274
+ "grad_norm": 1.0142641067504883,
1275
+ "learning_rate": 1.2154092203496617e-05,
1276
+ "loss": 0.1319,
1277
+ "step": 905
1278
+ },
1279
+ {
1280
+ "epoch": 1.7608906098741528,
1281
+ "grad_norm": 0.8471230268478394,
1282
+ "learning_rate": 1.199720346101327e-05,
1283
+ "loss": 0.1303,
1284
+ "step": 910
1285
+ },
1286
+ {
1287
+ "epoch": 1.770571151984511,
1288
+ "grad_norm": 1.002325415611267,
1289
+ "learning_rate": 1.1840656191279346e-05,
1290
+ "loss": 0.1233,
1291
+ "step": 915
1292
+ },
1293
+ {
1294
+ "epoch": 1.7802516940948694,
1295
+ "grad_norm": 1.2102103233337402,
1296
+ "learning_rate": 1.1684468196575453e-05,
1297
+ "loss": 0.1391,
1298
+ "step": 920
1299
+ },
1300
+ {
1301
+ "epoch": 1.7899322362052275,
1302
+ "grad_norm": 0.9681775569915771,
1303
+ "learning_rate": 1.1528657238326078e-05,
1304
+ "loss": 0.1371,
1305
+ "step": 925
1306
+ },
1307
+ {
1308
+ "epoch": 1.7996127783155855,
1309
+ "grad_norm": 0.9048433303833008,
1310
+ "learning_rate": 1.137324103507979e-05,
1311
+ "loss": 0.1229,
1312
+ "step": 930
1313
+ },
1314
+ {
1315
+ "epoch": 1.8092933204259438,
1316
+ "grad_norm": 1.2149651050567627,
1317
+ "learning_rate": 1.1218237260494305e-05,
1318
+ "loss": 0.1248,
1319
+ "step": 935
1320
+ },
1321
+ {
1322
+ "epoch": 1.818973862536302,
1323
+ "grad_norm": 1.0637120008468628,
1324
+ "learning_rate": 1.1063663541326682e-05,
1325
+ "loss": 0.1118,
1326
+ "step": 940
1327
+ },
1328
+ {
1329
+ "epoch": 1.8286544046466602,
1330
+ "grad_norm": 0.9652562141418457,
1331
+ "learning_rate": 1.090953745542882e-05,
1332
+ "loss": 0.1249,
1333
+ "step": 945
1334
+ },
1335
+ {
1336
+ "epoch": 1.8383349467570183,
1337
+ "grad_norm": 1.018527865409851,
1338
+ "learning_rate": 1.0755876529748562e-05,
1339
+ "loss": 0.1132,
1340
+ "step": 950
1341
+ },
1342
+ {
1343
+ "epoch": 1.8480154888673765,
1344
+ "grad_norm": 0.9471136927604675,
1345
+ "learning_rate": 1.060269823833654e-05,
1346
+ "loss": 0.1158,
1347
+ "step": 955
1348
+ },
1349
+ {
1350
+ "epoch": 1.8576960309777348,
1351
+ "grad_norm": 0.9643023014068604,
1352
+ "learning_rate": 1.0450020000359076e-05,
1353
+ "loss": 0.1125,
1354
+ "step": 960
1355
+ },
1356
+ {
1357
+ "epoch": 1.867376573088093,
1358
+ "grad_norm": 0.7923740744590759,
1359
+ "learning_rate": 1.029785917811728e-05,
1360
+ "loss": 0.1009,
1361
+ "step": 965
1362
+ },
1363
+ {
1364
+ "epoch": 1.877057115198451,
1365
+ "grad_norm": 0.8744542002677917,
1366
+ "learning_rate": 1.0146233075072657e-05,
1367
+ "loss": 0.1092,
1368
+ "step": 970
1369
+ },
1370
+ {
1371
+ "epoch": 1.8867376573088093,
1372
+ "grad_norm": 1.0112791061401367,
1373
+ "learning_rate": 9.995158933879397e-06,
1374
+ "loss": 0.1287,
1375
+ "step": 975
1376
+ },
1377
+ {
1378
+ "epoch": 1.8964181994191676,
1379
+ "grad_norm": 1.4026895761489868,
1380
+ "learning_rate": 9.84465393442353e-06,
1381
+ "loss": 0.1105,
1382
+ "step": 980
1383
+ },
1384
+ {
1385
+ "epoch": 1.9060987415295256,
1386
+ "grad_norm": 1.0406018495559692,
1387
+ "learning_rate": 9.694735191869315e-06,
1388
+ "loss": 0.1164,
1389
+ "step": 985
1390
+ },
1391
+ {
1392
+ "epoch": 1.9157792836398837,
1393
+ "grad_norm": 0.7971872091293335,
1394
+ "learning_rate": 9.54541975471289e-06,
1395
+ "loss": 0.109,
1396
+ "step": 990
1397
+ },
1398
+ {
1399
+ "epoch": 1.925459825750242,
1400
+ "grad_norm": 1.0442346334457397,
1401
+ "learning_rate": 9.396724602843564e-06,
1402
+ "loss": 0.112,
1403
+ "step": 995
1404
+ },
1405
+ {
1406
+ "epoch": 1.9351403678606003,
1407
+ "grad_norm": 0.9047033190727234,
1408
+ "learning_rate": 9.248666645612897e-06,
1409
+ "loss": 0.1041,
1410
+ "step": 1000
1411
+ },
1412
+ {
1413
+ "epoch": 1.9448209099709584,
1414
+ "grad_norm": 1.1186202764511108,
1415
+ "learning_rate": 9.101262719911796e-06,
1416
+ "loss": 0.0933,
1417
+ "step": 1005
1418
+ },
1419
+ {
1420
+ "epoch": 1.9545014520813164,
1421
+ "grad_norm": 1.0027741193771362,
1422
+ "learning_rate": 8.954529588255838e-06,
1423
+ "loss": 0.1042,
1424
+ "step": 1010
1425
+ },
1426
+ {
1427
+ "epoch": 1.9641819941916747,
1428
+ "grad_norm": 0.9105640053749084,
1429
+ "learning_rate": 8.808483936879091e-06,
1430
+ "loss": 0.0957,
1431
+ "step": 1015
1432
+ },
1433
+ {
1434
+ "epoch": 1.973862536302033,
1435
+ "grad_norm": 0.9466278553009033,
1436
+ "learning_rate": 8.663142373836572e-06,
1437
+ "loss": 0.1094,
1438
+ "step": 1020
1439
+ },
1440
+ {
1441
+ "epoch": 1.983543078412391,
1442
+ "grad_norm": 1.0125550031661987,
1443
+ "learning_rate": 8.518521427115604e-06,
1444
+ "loss": 0.0959,
1445
+ "step": 1025
1446
+ },
1447
+ {
1448
+ "epoch": 1.9932236205227492,
1449
+ "grad_norm": 0.8532976508140564,
1450
+ "learning_rate": 8.374637542756286e-06,
1451
+ "loss": 0.1037,
1452
+ "step": 1030
1453
+ },
1454
+ {
1455
+ "epoch": 2.0019361084220715,
1456
+ "grad_norm": 0.6454092860221863,
1457
+ "learning_rate": 8.231507082981288e-06,
1458
+ "loss": 0.0892,
1459
+ "step": 1035
1460
+ },
1461
+ {
1462
+ "epoch": 2.0116166505324298,
1463
+ "grad_norm": 0.7566469311714172,
1464
+ "learning_rate": 8.089146324335161e-06,
1465
+ "loss": 0.0757,
1466
+ "step": 1040
1467
+ },
1468
+ {
1469
+ "epoch": 2.021297192642788,
1470
+ "grad_norm": 0.8712649345397949,
1471
+ "learning_rate": 7.947571455833376e-06,
1472
+ "loss": 0.0841,
1473
+ "step": 1045
1474
+ },
1475
+ {
1476
+ "epoch": 2.0309777347531464,
1477
+ "grad_norm": 0.6450208425521851,
1478
+ "learning_rate": 7.806798577121374e-06,
1479
+ "loss": 0.0795,
1480
+ "step": 1050
1481
+ },
1482
+ {
1483
+ "epoch": 2.040658276863504,
1484
+ "grad_norm": 0.7852831482887268,
1485
+ "learning_rate": 7.666843696643723e-06,
1486
+ "loss": 0.0837,
1487
+ "step": 1055
1488
+ },
1489
+ {
1490
+ "epoch": 2.0503388189738625,
1491
+ "grad_norm": 0.8889209628105164,
1492
+ "learning_rate": 7.527722729823668e-06,
1493
+ "loss": 0.075,
1494
+ "step": 1060
1495
+ },
1496
+ {
1497
+ "epoch": 2.060019361084221,
1498
+ "grad_norm": 0.7815482020378113,
1499
+ "learning_rate": 7.389451497253252e-06,
1500
+ "loss": 0.0666,
1501
+ "step": 1065
1502
+ },
1503
+ {
1504
+ "epoch": 2.069699903194579,
1505
+ "grad_norm": 0.9109985828399658,
1506
+ "learning_rate": 7.25204572289424e-06,
1507
+ "loss": 0.0826,
1508
+ "step": 1070
1509
+ },
1510
+ {
1511
+ "epoch": 2.079380445304937,
1512
+ "grad_norm": 0.6828309297561646,
1513
+ "learning_rate": 7.115521032289995e-06,
1514
+ "loss": 0.0805,
1515
+ "step": 1075
1516
+ },
1517
+ {
1518
+ "epoch": 2.0890609874152952,
1519
+ "grad_norm": 0.8983790278434753,
1520
+ "learning_rate": 6.979892950788597e-06,
1521
+ "loss": 0.076,
1522
+ "step": 1080
1523
+ },
1524
+ {
1525
+ "epoch": 2.0987415295256535,
1526
+ "grad_norm": 0.7680765986442566,
1527
+ "learning_rate": 6.845176901777313e-06,
1528
+ "loss": 0.0839,
1529
+ "step": 1085
1530
+ },
1531
+ {
1532
+ "epoch": 2.108422071636012,
1533
+ "grad_norm": 0.8045234680175781,
1534
+ "learning_rate": 6.7113882049286605e-06,
1535
+ "loss": 0.0736,
1536
+ "step": 1090
1537
+ },
1538
+ {
1539
+ "epoch": 2.1181026137463697,
1540
+ "grad_norm": 0.8118388056755066,
1541
+ "learning_rate": 6.578542074458311e-06,
1542
+ "loss": 0.0736,
1543
+ "step": 1095
1544
+ },
1545
+ {
1546
+ "epoch": 2.127783155856728,
1547
+ "grad_norm": 0.9975394010543823,
1548
+ "learning_rate": 6.446653617394945e-06,
1549
+ "loss": 0.0808,
1550
+ "step": 1100
1551
+ },
1552
+ {
1553
+ "epoch": 2.1374636979670862,
1554
+ "grad_norm": 0.7589239478111267,
1555
+ "learning_rate": 6.315737831862302e-06,
1556
+ "loss": 0.0817,
1557
+ "step": 1105
1558
+ },
1559
+ {
1560
+ "epoch": 2.1471442400774445,
1561
+ "grad_norm": 0.72721266746521,
1562
+ "learning_rate": 6.18580960537361e-06,
1563
+ "loss": 0.0882,
1564
+ "step": 1110
1565
+ },
1566
+ {
1567
+ "epoch": 2.1568247821878024,
1568
+ "grad_norm": 0.6363008618354797,
1569
+ "learning_rate": 6.056883713138637e-06,
1570
+ "loss": 0.0826,
1571
+ "step": 1115
1572
+ },
1573
+ {
1574
+ "epoch": 2.1665053242981607,
1575
+ "grad_norm": 0.8117669820785522,
1576
+ "learning_rate": 5.928974816383446e-06,
1577
+ "loss": 0.076,
1578
+ "step": 1120
1579
+ },
1580
+ {
1581
+ "epoch": 2.176185866408519,
1582
+ "grad_norm": 0.7908191084861755,
1583
+ "learning_rate": 5.802097460683168e-06,
1584
+ "loss": 0.0734,
1585
+ "step": 1125
1586
+ },
1587
+ {
1588
+ "epoch": 2.1858664085188773,
1589
+ "grad_norm": 0.6734304428100586,
1590
+ "learning_rate": 5.676266074307891e-06,
1591
+ "loss": 0.0779,
1592
+ "step": 1130
1593
+ },
1594
+ {
1595
+ "epoch": 2.195546950629235,
1596
+ "grad_norm": 0.9595420360565186,
1597
+ "learning_rate": 5.551494966581916e-06,
1598
+ "loss": 0.0746,
1599
+ "step": 1135
1600
+ },
1601
+ {
1602
+ "epoch": 2.2052274927395934,
1603
+ "grad_norm": 0.8464432954788208,
1604
+ "learning_rate": 5.4277983262565e-06,
1605
+ "loss": 0.0749,
1606
+ "step": 1140
1607
+ },
1608
+ {
1609
+ "epoch": 2.2149080348499517,
1610
+ "grad_norm": 0.8264310359954834,
1611
+ "learning_rate": 5.305190219896375e-06,
1612
+ "loss": 0.0787,
1613
+ "step": 1145
1614
+ },
1615
+ {
1616
+ "epoch": 2.22458857696031,
1617
+ "grad_norm": 0.620573878288269,
1618
+ "learning_rate": 5.18368459028009e-06,
1619
+ "loss": 0.0782,
1620
+ "step": 1150
1621
+ },
1622
+ {
1623
+ "epoch": 2.234269119070668,
1624
+ "grad_norm": 1.098819375038147,
1625
+ "learning_rate": 5.063295254814479e-06,
1626
+ "loss": 0.0635,
1627
+ "step": 1155
1628
+ },
1629
+ {
1630
+ "epoch": 2.243949661181026,
1631
+ "grad_norm": 0.6919024586677551,
1632
+ "learning_rate": 4.944035903963371e-06,
1633
+ "loss": 0.0729,
1634
+ "step": 1160
1635
+ },
1636
+ {
1637
+ "epoch": 2.2536302032913844,
1638
+ "grad_norm": 0.7214142084121704,
1639
+ "learning_rate": 4.825920099690708e-06,
1640
+ "loss": 0.0745,
1641
+ "step": 1165
1642
+ },
1643
+ {
1644
+ "epoch": 2.2633107454017427,
1645
+ "grad_norm": 0.6879322528839111,
1646
+ "learning_rate": 4.708961273918344e-06,
1647
+ "loss": 0.0699,
1648
+ "step": 1170
1649
+ },
1650
+ {
1651
+ "epoch": 2.2729912875121006,
1652
+ "grad_norm": 0.7095469236373901,
1653
+ "learning_rate": 4.5931727269985696e-06,
1654
+ "loss": 0.0808,
1655
+ "step": 1175
1656
+ },
1657
+ {
1658
+ "epoch": 2.282671829622459,
1659
+ "grad_norm": 0.8471762537956238,
1660
+ "learning_rate": 4.478567626201602e-06,
1661
+ "loss": 0.0713,
1662
+ "step": 1180
1663
+ },
1664
+ {
1665
+ "epoch": 2.292352371732817,
1666
+ "grad_norm": 0.7890109419822693,
1667
+ "learning_rate": 4.365159004218258e-06,
1668
+ "loss": 0.0731,
1669
+ "step": 1185
1670
+ },
1671
+ {
1672
+ "epoch": 2.302032913843175,
1673
+ "grad_norm": 0.6397315859794617,
1674
+ "learning_rate": 4.25295975767788e-06,
1675
+ "loss": 0.0742,
1676
+ "step": 1190
1677
+ },
1678
+ {
1679
+ "epoch": 2.3117134559535333,
1680
+ "grad_norm": 0.8097071051597595,
1681
+ "learning_rate": 4.1419826456817615e-06,
1682
+ "loss": 0.0682,
1683
+ "step": 1195
1684
+ },
1685
+ {
1686
+ "epoch": 2.3213939980638916,
1687
+ "grad_norm": 0.6747831702232361,
1688
+ "learning_rate": 4.032240288352199e-06,
1689
+ "loss": 0.0723,
1690
+ "step": 1200
1691
+ },
1692
+ {
1693
+ "epoch": 2.33107454017425,
1694
+ "grad_norm": 0.6692532896995544,
1695
+ "learning_rate": 3.923745165397363e-06,
1696
+ "loss": 0.0726,
1697
+ "step": 1205
1698
+ },
1699
+ {
1700
+ "epoch": 2.340755082284608,
1701
+ "grad_norm": 0.5731667280197144,
1702
+ "learning_rate": 3.816509614692105e-06,
1703
+ "loss": 0.0746,
1704
+ "step": 1210
1705
+ },
1706
+ {
1707
+ "epoch": 2.350435624394966,
1708
+ "grad_norm": 0.6692930459976196,
1709
+ "learning_rate": 3.7105458308749498e-06,
1710
+ "loss": 0.071,
1711
+ "step": 1215
1712
+ },
1713
+ {
1714
+ "epoch": 2.3601161665053243,
1715
+ "grad_norm": 0.667002260684967,
1716
+ "learning_rate": 3.6058658639613146e-06,
1717
+ "loss": 0.0671,
1718
+ "step": 1220
1719
+ },
1720
+ {
1721
+ "epoch": 2.3697967086156826,
1722
+ "grad_norm": 0.5717707276344299,
1723
+ "learning_rate": 3.5024816179732168e-06,
1724
+ "loss": 0.0649,
1725
+ "step": 1225
1726
+ },
1727
+ {
1728
+ "epoch": 2.3794772507260404,
1729
+ "grad_norm": 0.8209498524665833,
1730
+ "learning_rate": 3.4004048495855642e-06,
1731
+ "loss": 0.0705,
1732
+ "step": 1230
1733
+ },
1734
+ {
1735
+ "epoch": 2.3891577928363987,
1736
+ "grad_norm": 0.8030904531478882,
1737
+ "learning_rate": 3.299647166789215e-06,
1738
+ "loss": 0.0733,
1739
+ "step": 1235
1740
+ },
1741
+ {
1742
+ "epoch": 2.398838334946757,
1743
+ "grad_norm": 0.6974596977233887,
1744
+ "learning_rate": 3.200220027570912e-06,
1745
+ "loss": 0.0753,
1746
+ "step": 1240
1747
+ },
1748
+ {
1749
+ "epoch": 2.4085188770571153,
1750
+ "grad_norm": 0.7229620218276978,
1751
+ "learning_rate": 3.102134738610337e-06,
1752
+ "loss": 0.0667,
1753
+ "step": 1245
1754
+ },
1755
+ {
1756
+ "epoch": 2.4181994191674736,
1757
+ "grad_norm": 0.6940773725509644,
1758
+ "learning_rate": 3.0054024539943125e-06,
1759
+ "loss": 0.0727,
1760
+ "step": 1250
1761
+ },
1762
+ {
1763
+ "epoch": 2.4278799612778315,
1764
+ "grad_norm": 0.5743969082832336,
1765
+ "learning_rate": 2.9100341739483722e-06,
1766
+ "loss": 0.0638,
1767
+ "step": 1255
1768
+ },
1769
+ {
1770
+ "epoch": 2.4375605033881897,
1771
+ "grad_norm": 0.6835336685180664,
1772
+ "learning_rate": 2.81604074358586e-06,
1773
+ "loss": 0.07,
1774
+ "step": 1260
1775
+ },
1776
+ {
1777
+ "epoch": 2.447241045498548,
1778
+ "grad_norm": 0.6832726001739502,
1779
+ "learning_rate": 2.723432851674618e-06,
1780
+ "loss": 0.0753,
1781
+ "step": 1265
1782
+ },
1783
+ {
1784
+ "epoch": 2.456921587608906,
1785
+ "grad_norm": 0.6815051436424255,
1786
+ "learning_rate": 2.6322210294215005e-06,
1787
+ "loss": 0.0705,
1788
+ "step": 1270
1789
+ },
1790
+ {
1791
+ "epoch": 2.466602129719264,
1792
+ "grad_norm": 0.7195925712585449,
1793
+ "learning_rate": 2.542415649274752e-06,
1794
+ "loss": 0.0637,
1795
+ "step": 1275
1796
+ },
1797
+ {
1798
+ "epoch": 2.4762826718296225,
1799
+ "grad_norm": 0.5729106068611145,
1800
+ "learning_rate": 2.4540269237445086e-06,
1801
+ "loss": 0.065,
1802
+ "step": 1280
1803
+ },
1804
+ {
1805
+ "epoch": 2.4859632139399808,
1806
+ "grad_norm": 0.6054389476776123,
1807
+ "learning_rate": 2.367064904241422e-06,
1808
+ "loss": 0.0607,
1809
+ "step": 1285
1810
+ },
1811
+ {
1812
+ "epoch": 2.495643756050339,
1813
+ "grad_norm": 0.7098192572593689,
1814
+ "learning_rate": 2.2815394799336457e-06,
1815
+ "loss": 0.0599,
1816
+ "step": 1290
1817
+ },
1818
+ {
1819
+ "epoch": 2.505324298160697,
1820
+ "grad_norm": 0.6422216892242432,
1821
+ "learning_rate": 2.1974603766222456e-06,
1822
+ "loss": 0.073,
1823
+ "step": 1295
1824
+ },
1825
+ {
1826
+ "epoch": 2.515004840271055,
1827
+ "grad_norm": 0.6374565362930298,
1828
+ "learning_rate": 2.1148371556352076e-06,
1829
+ "loss": 0.0657,
1830
+ "step": 1300
1831
+ },
1832
+ {
1833
+ "epoch": 2.5246853823814135,
1834
+ "grad_norm": 0.6549335718154907,
1835
+ "learning_rate": 2.0336792127401273e-06,
1836
+ "loss": 0.066,
1837
+ "step": 1305
1838
+ },
1839
+ {
1840
+ "epoch": 2.5343659244917713,
1841
+ "grad_norm": 0.5577257871627808,
1842
+ "learning_rate": 1.953995777075758e-06,
1843
+ "loss": 0.0668,
1844
+ "step": 1310
1845
+ },
1846
+ {
1847
+ "epoch": 2.5440464666021296,
1848
+ "grad_norm": 0.6442563533782959,
1849
+ "learning_rate": 1.875795910102478e-06,
1850
+ "loss": 0.0775,
1851
+ "step": 1315
1852
+ },
1853
+ {
1854
+ "epoch": 2.553727008712488,
1855
+ "grad_norm": 0.6345446705818176,
1856
+ "learning_rate": 1.799088504571843e-06,
1857
+ "loss": 0.0583,
1858
+ "step": 1320
1859
+ },
1860
+ {
1861
+ "epoch": 2.563407550822846,
1862
+ "grad_norm": 0.49139729142189026,
1863
+ "learning_rate": 1.7238822835153e-06,
1864
+ "loss": 0.0582,
1865
+ "step": 1325
1866
+ },
1867
+ {
1868
+ "epoch": 2.5730880929332045,
1869
+ "grad_norm": 0.5551604628562927,
1870
+ "learning_rate": 1.6501857992522485e-06,
1871
+ "loss": 0.0626,
1872
+ "step": 1330
1873
+ },
1874
+ {
1875
+ "epoch": 2.5827686350435624,
1876
+ "grad_norm": 0.5181462168693542,
1877
+ "learning_rate": 1.5780074324174693e-06,
1878
+ "loss": 0.059,
1879
+ "step": 1335
1880
+ },
1881
+ {
1882
+ "epoch": 2.5924491771539206,
1883
+ "grad_norm": 0.7382829189300537,
1884
+ "learning_rate": 1.5073553910080845e-06,
1885
+ "loss": 0.0608,
1886
+ "step": 1340
1887
+ },
1888
+ {
1889
+ "epoch": 2.602129719264279,
1890
+ "grad_norm": 0.6327388882637024,
1891
+ "learning_rate": 1.4382377094501787e-06,
1892
+ "loss": 0.0645,
1893
+ "step": 1345
1894
+ },
1895
+ {
1896
+ "epoch": 2.611810261374637,
1897
+ "grad_norm": 0.6324862837791443,
1898
+ "learning_rate": 1.3706622476851277e-06,
1899
+ "loss": 0.0681,
1900
+ "step": 1350
1901
+ },
1902
+ {
1903
+ "epoch": 2.621490803484995,
1904
+ "grad_norm": 0.6399654150009155,
1905
+ "learning_rate": 1.3046366902757794e-06,
1906
+ "loss": 0.0685,
1907
+ "step": 1355
1908
+ },
1909
+ {
1910
+ "epoch": 2.6311713455953534,
1911
+ "grad_norm": 0.6386643648147583,
1912
+ "learning_rate": 1.2401685455325789e-06,
1913
+ "loss": 0.0557,
1914
+ "step": 1360
1915
+ },
1916
+ {
1917
+ "epoch": 2.6408518877057117,
1918
+ "grad_norm": 0.5728330016136169,
1919
+ "learning_rate": 1.17726514465974e-06,
1920
+ "loss": 0.0525,
1921
+ "step": 1365
1922
+ },
1923
+ {
1924
+ "epoch": 2.65053242981607,
1925
+ "grad_norm": 0.7218917608261108,
1926
+ "learning_rate": 1.1159336409215448e-06,
1927
+ "loss": 0.065,
1928
+ "step": 1370
1929
+ },
1930
+ {
1931
+ "epoch": 2.660212971926428,
1932
+ "grad_norm": 0.6826200485229492,
1933
+ "learning_rate": 1.0561810088289042e-06,
1934
+ "loss": 0.0645,
1935
+ "step": 1375
1936
+ },
1937
+ {
1938
+ "epoch": 2.669893514036786,
1939
+ "grad_norm": 0.6935150623321533,
1940
+ "learning_rate": 9.980140433462093e-07,
1941
+ "loss": 0.062,
1942
+ "step": 1380
1943
+ },
1944
+ {
1945
+ "epoch": 2.6795740561471444,
1946
+ "grad_norm": 0.5919090509414673,
1947
+ "learning_rate": 9.414393591186333e-07,
1948
+ "loss": 0.0646,
1949
+ "step": 1385
1950
+ },
1951
+ {
1952
+ "epoch": 2.6892545982575022,
1953
+ "grad_norm": 0.36325803399086,
1954
+ "learning_rate": 8.864633897199182e-07,
1955
+ "loss": 0.0567,
1956
+ "step": 1390
1957
+ },
1958
+ {
1959
+ "epoch": 2.6989351403678605,
1960
+ "grad_norm": 0.4311537742614746,
1961
+ "learning_rate": 8.330923869207702e-07,
1962
+ "loss": 0.051,
1963
+ "step": 1395
1964
+ },
1965
+ {
1966
+ "epoch": 2.708615682478219,
1967
+ "grad_norm": 0.6049902439117432,
1968
+ "learning_rate": 7.813324199778999e-07,
1969
+ "loss": 0.0637,
1970
+ "step": 1400
1971
+ },
1972
+ {
1973
+ "epoch": 2.718296224588577,
1974
+ "grad_norm": 0.5618370175361633,
1975
+ "learning_rate": 7.311893749438592e-07,
1976
+ "loss": 0.0618,
1977
+ "step": 1405
1978
+ },
1979
+ {
1980
+ "epoch": 2.7279767666989354,
1981
+ "grad_norm": 0.5814527273178101,
1982
+ "learning_rate": 6.826689539976772e-07,
1983
+ "loss": 0.0632,
1984
+ "step": 1410
1985
+ },
1986
+ {
1987
+ "epoch": 2.7376573088092933,
1988
+ "grad_norm": 0.4678923487663269,
1989
+ "learning_rate": 6.3577667479642e-07,
1990
+ "loss": 0.0562,
1991
+ "step": 1415
1992
+ },
1993
+ {
1994
+ "epoch": 2.7473378509196515,
1995
+ "grad_norm": 0.5974392890930176,
1996
+ "learning_rate": 5.905178698477315e-07,
1997
+ "loss": 0.0651,
1998
+ "step": 1420
1999
+ },
2000
+ {
2001
+ "epoch": 2.75701839303001,
2002
+ "grad_norm": 0.5679447054862976,
2003
+ "learning_rate": 5.468976859034397e-07,
2004
+ "loss": 0.0547,
2005
+ "step": 1425
2006
+ },
2007
+ {
2008
+ "epoch": 2.7666989351403677,
2009
+ "grad_norm": 0.5908785462379456,
2010
+ "learning_rate": 5.049210833742618e-07,
2011
+ "loss": 0.0643,
2012
+ "step": 1430
2013
+ },
2014
+ {
2015
+ "epoch": 2.776379477250726,
2016
+ "grad_norm": 0.6061670780181885,
2017
+ "learning_rate": 4.6459283576572696e-07,
2018
+ "loss": 0.0599,
2019
+ "step": 1435
2020
+ },
2021
+ {
2022
+ "epoch": 2.7860600193610843,
2023
+ "grad_norm": 0.6512853503227234,
2024
+ "learning_rate": 4.2591752913533233e-07,
2025
+ "loss": 0.0581,
2026
+ "step": 1440
2027
+ },
2028
+ {
2029
+ "epoch": 2.7957405614714426,
2030
+ "grad_norm": 0.48175665736198425,
2031
+ "learning_rate": 3.888995615710367e-07,
2032
+ "loss": 0.0603,
2033
+ "step": 1445
2034
+ },
2035
+ {
2036
+ "epoch": 2.805421103581801,
2037
+ "grad_norm": 0.6186909675598145,
2038
+ "learning_rate": 3.53543142691104e-07,
2039
+ "loss": 0.0638,
2040
+ "step": 1450
2041
+ },
2042
+ {
2043
+ "epoch": 2.8151016456921587,
2044
+ "grad_norm": 0.5678679943084717,
2045
+ "learning_rate": 3.198522931654047e-07,
2046
+ "loss": 0.0539,
2047
+ "step": 1455
2048
+ },
2049
+ {
2050
+ "epoch": 2.824782187802517,
2051
+ "grad_norm": 0.6124197840690613,
2052
+ "learning_rate": 2.8783084425818453e-07,
2053
+ "loss": 0.0681,
2054
+ "step": 1460
2055
+ },
2056
+ {
2057
+ "epoch": 2.8344627299128753,
2058
+ "grad_norm": 0.5437132716178894,
2059
+ "learning_rate": 2.574824373923834e-07,
2060
+ "loss": 0.0598,
2061
+ "step": 1465
2062
+ },
2063
+ {
2064
+ "epoch": 2.844143272023233,
2065
+ "grad_norm": 0.6260445713996887,
2066
+ "learning_rate": 2.2881052373553312e-07,
2067
+ "loss": 0.0578,
2068
+ "step": 1470
2069
+ },
2070
+ {
2071
+ "epoch": 2.8538238141335914,
2072
+ "grad_norm": 0.5867874622344971,
2073
+ "learning_rate": 2.018183638073112e-07,
2074
+ "loss": 0.0584,
2075
+ "step": 1475
2076
+ },
2077
+ {
2078
+ "epoch": 2.8635043562439497,
2079
+ "grad_norm": 0.5346993207931519,
2080
+ "learning_rate": 1.7650902710874273e-07,
2081
+ "loss": 0.0565,
2082
+ "step": 1480
2083
+ },
2084
+ {
2085
+ "epoch": 2.8731848983543076,
2086
+ "grad_norm": 0.5810688138008118,
2087
+ "learning_rate": 1.5288539177315598e-07,
2088
+ "loss": 0.0503,
2089
+ "step": 1485
2090
+ },
2091
+ {
2092
+ "epoch": 2.882865440464666,
2093
+ "grad_norm": 0.4510127902030945,
2094
+ "learning_rate": 1.3095014423887275e-07,
2095
+ "loss": 0.0505,
2096
+ "step": 1490
2097
+ },
2098
+ {
2099
+ "epoch": 2.892545982575024,
2100
+ "grad_norm": 0.49212077260017395,
2101
+ "learning_rate": 1.1070577894372769e-07,
2102
+ "loss": 0.0562,
2103
+ "step": 1495
2104
+ },
2105
+ {
2106
+ "epoch": 2.9022265246853824,
2107
+ "grad_norm": 0.6030415296554565,
2108
+ "learning_rate": 9.215459804139347e-08,
2109
+ "loss": 0.0707,
2110
+ "step": 1500
2111
+ },
2112
+ {
2113
+ "epoch": 2.9119070667957407,
2114
+ "grad_norm": 0.5956991910934448,
2115
+ "learning_rate": 7.529871113958198e-08,
2116
+ "loss": 0.0616,
2117
+ "step": 1505
2118
+ },
2119
+ {
2120
+ "epoch": 2.9215876089060986,
2121
+ "grad_norm": 0.42999911308288574,
2122
+ "learning_rate": 6.014003506015275e-08,
2123
+ "loss": 0.0571,
2124
+ "step": 1510
2125
+ },
2126
+ {
2127
+ "epoch": 2.931268151016457,
2128
+ "grad_norm": 0.5331460237503052,
2129
+ "learning_rate": 4.6680293621134127e-08,
2130
+ "loss": 0.055,
2131
+ "step": 1515
2132
+ },
2133
+ {
2134
+ "epoch": 2.940948693126815,
2135
+ "grad_norm": 0.622313916683197,
2136
+ "learning_rate": 3.4921017440683324e-08,
2137
+ "loss": 0.0664,
2138
+ "step": 1520
2139
+ },
2140
+ {
2141
+ "epoch": 2.950629235237173,
2142
+ "grad_norm": 0.5072144269943237,
2143
+ "learning_rate": 2.4863543763040674e-08,
2144
+ "loss": 0.0566,
2145
+ "step": 1525
2146
+ },
2147
+ {
2148
+ "epoch": 2.9603097773475313,
2149
+ "grad_norm": 0.5802115201950073,
2150
+ "learning_rate": 1.6509016306449632e-08,
2151
+ "loss": 0.0595,
2152
+ "step": 1530
2153
+ },
2154
+ {
2155
+ "epoch": 2.9699903194578896,
2156
+ "grad_norm": 0.6113269925117493,
2157
+ "learning_rate": 9.858385133102443e-09,
2158
+ "loss": 0.0635,
2159
+ "step": 1535
2160
+ },
2161
+ {
2162
+ "epoch": 2.979670861568248,
2163
+ "grad_norm": 0.5206665396690369,
2164
+ "learning_rate": 4.912406541098258e-09,
2165
+ "loss": 0.0539,
2166
+ "step": 1540
2167
+ },
2168
+ {
2169
+ "epoch": 2.989351403678606,
2170
+ "grad_norm": 0.5739409327507019,
2171
+ "learning_rate": 1.6716429784352504e-09,
2172
+ "loss": 0.0664,
2173
+ "step": 1545
2174
+ },
2175
+ {
2176
+ "epoch": 2.999031945788964,
2177
+ "grad_norm": 0.6693248152732849,
2178
+ "learning_rate": 1.3646297905678397e-10,
2179
+ "loss": 0.0582,
2180
+ "step": 1550
2181
+ },
2182
+ {
2183
+ "epoch": 3.0,
2184
+ "step": 1551,
2185
+ "total_flos": 1.9777146565039227e+18,
2186
+ "train_loss": 0.34789815965888576,
2187
+ "train_runtime": 958.473,
2188
+ "train_samples_per_second": 51.692,
2189
+ "train_steps_per_second": 1.618
2190
+ }
2191
+ ],
2192
+ "logging_steps": 5,
2193
+ "max_steps": 1551,
2194
+ "num_input_tokens_seen": 0,
2195
+ "num_train_epochs": 3,
2196
+ "save_steps": 20000,
2197
+ "stateful_callbacks": {
2198
+ "TrainerControl": {
2199
+ "args": {
2200
+ "should_epoch_stop": false,
2201
+ "should_evaluate": false,
2202
+ "should_log": false,
2203
+ "should_save": false,
2204
+ "should_training_stop": false
2205
+ },
2206
+ "attributes": {}
2207
+ }
2208
+ },
2209
+ "total_flos": 1.9777146565039227e+18,
2210
+ "train_batch_size": 2,
2211
+ "trial_name": null,
2212
+ "trial_params": null
2213
+ }
instruct/132_128_e3_3e-5/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21b6c6a4e5418ed34878981964102626a094d97368cc024663a23cd141f7fdf5
3
+ size 8273
instruct/132_128_e3_3e-5/vocab.json ADDED
The diff for this file is too large to render. See raw diff