Ihor commited on
Commit
36c37cb
·
verified ·
1 Parent(s): 0f99157

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
chat_template.jinja ADDED
@@ -0,0 +1,170 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- elif content is iterable and content is not mapping %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if is_system_content %}
10
+ {{- raise_exception('System message cannot contain images.') }}
11
+ {%- endif %}
12
+ {%- if do_vision_count %}
13
+ {%- set image_count.value = image_count.value + 1 %}
14
+ {%- endif %}
15
+ {%- if add_vision_id %}
16
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
+ {%- endif %}
18
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
+ {%- elif 'video' in item or item.type == 'video' %}
20
+ {%- if is_system_content %}
21
+ {{- raise_exception('System message cannot contain videos.') }}
22
+ {%- endif %}
23
+ {%- if do_vision_count %}
24
+ {%- set video_count.value = video_count.value + 1 %}
25
+ {%- endif %}
26
+ {%- if add_vision_id %}
27
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
28
+ {%- endif %}
29
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
+ {%- elif 'text' in item %}
31
+ {{- item.text }}
32
+ {%- else %}
33
+ {{- raise_exception('Unexpected item type in content.') }}
34
+ {%- endif %}
35
+ {%- endfor %}
36
+ {%- elif content is none or content is undefined %}
37
+ {{- '' }}
38
+ {%- else %}
39
+ {{- raise_exception('Unexpected content type.') }}
40
+ {%- endif %}
41
+ {%- endmacro %}
42
+ {%- if not messages %}
43
+ {{- raise_exception('No messages provided.') }}
44
+ {%- endif %}
45
+ {%- set reasoning_instructions = '' %}
46
+ {%- if enable_thinking is undefined or enable_thinking is true %}
47
+ {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}
48
+ {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}
49
+ {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}
50
+ {%- endif %}
51
+ {%- if resolved_reasoning_effort == 'xhigh' %}
52
+ {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
53
+ {%- elif resolved_reasoning_effort == 'low' %}
54
+ {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
55
+ {%- endif %}
56
+ {%- endif %}
57
+ {%- if tools and tools is iterable and tools is not mapping %}
58
+ {{- '<|im_start|>system\n' }}
59
+ {%- if reasoning_instructions %}
60
+ {{- reasoning_instructions + '\n\n' }}
61
+ {%- endif %}
62
+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
63
+ {%- for tool in tools %}
64
+ {{- "\n" }}
65
+ {{- tool | tojson }}
66
+ {%- endfor %}
67
+ {{- "\n</tools>" }}
68
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
69
+ {%- if messages[0].role == 'system' %}
70
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
71
+ {%- if content %}
72
+ {{- '\n\n' + content }}
73
+ {%- endif %}
74
+ {%- endif %}
75
+ {{- '<|im_end|>\n' }}
76
+ {%- else %}
77
+ {%- if messages[0].role == 'system' %}
78
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
79
+ {%- if content %}
80
+ {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + content + '<|im_end|>\n' }}
81
+ {%- elif reasoning_instructions %}
82
+ {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
83
+ {%- endif %}
84
+ {%- elif reasoning_instructions %}
85
+ {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
86
+ {%- endif %}
87
+ {%- endif %}
88
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
89
+ {%- for message in messages[::-1] %}
90
+ {%- set index = (messages|length - 1) - loop.index0 %}
91
+ {%- if ns.multi_step_tool and message.role == "user" %}
92
+ {%- set content = render_content(message.content, false)|trim %}
93
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
94
+ {%- set ns.multi_step_tool = false %}
95
+ {%- set ns.last_query_index = index %}
96
+ {%- endif %}
97
+ {%- endif %}
98
+ {%- endfor %}
99
+ {%- if ns.multi_step_tool %}
100
+ {{- raise_exception('No user query found in messages.') }}
101
+ {%- endif %}
102
+ {%- for message in messages %}
103
+ {%- set content = render_content(message.content, true)|trim %}
104
+ {%- if message.role == "system" %}
105
+ {%- if not loop.first %}
106
+ {{- raise_exception('System message must be at the beginning.') }}
107
+ {%- endif %}
108
+ {%- elif message.role == "user" %}
109
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
110
+ {%- elif message.role == "assistant" %}
111
+ {%- set reasoning_content = '' %}
112
+ {%- if message.reasoning_content is string %}
113
+ {%- set reasoning_content = message.reasoning_content %}
114
+ {%- endif %}
115
+ {%- set reasoning_content = reasoning_content|trim %}
116
+ {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}
117
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
118
+ {%- else %}
119
+ {{- '<|im_start|>' + message.role + '\n' + content }}
120
+ {%- endif %}
121
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
122
+ {%- for tool_call in message.tool_calls %}
123
+ {%- if tool_call.function is defined %}
124
+ {%- set tool_call = tool_call.function %}
125
+ {%- endif %}
126
+ {%- if loop.first %}
127
+ {%- if content|trim %}
128
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
129
+ {%- else %}
130
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
131
+ {%- endif %}
132
+ {%- else %}
133
+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
134
+ {%- endif %}
135
+ {%- if tool_call.arguments is defined and tool_call.arguments != '' %}
136
+ {%- for args_name, args_value in tool_call.arguments|items %}
137
+ {{- '<parameter=' + args_name + '>\n' }}
138
+ {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
139
+ {{- args_value }}
140
+ {{- '\n</parameter>\n' }}
141
+ {%- endfor %}
142
+ {%- endif %}
143
+ {{- '</function>\n</tool_call>' }}
144
+ {%- endfor %}
145
+ {%- endif %}
146
+ {{- '<|im_end|>\n' }}
147
+ {%- elif message.role == "tool" %}
148
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
149
+ {{- '<|im_start|>user' }}
150
+ {%- endif %}
151
+ {{- '\n<tool_response>\n' }}
152
+ {{- content }}
153
+ {{- '\n</tool_response>' }}
154
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
155
+ {{- '<|im_end|>\n' }}
156
+ {%- elif loop.last %}
157
+ {{- '<|im_end|>\n' }}
158
+ {%- endif %}
159
+ {%- else %}
160
+ {{- raise_exception('Unexpected message role.') }}
161
+ {%- endif %}
162
+ {%- endfor %}
163
+ {%- if add_generation_prompt %}
164
+ {{- '<|im_start|>assistant\n' }}
165
+ {%- if enable_thinking is defined and enable_thinking is false %}
166
+ {{- '<think>\n\n</think>\n\n' }}
167
+ {%- else %}
168
+ {{- '<think>\n' }}
169
+ {%- endif %}
170
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,288 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architecture_type": "decoder-kv",
3
+ "architectures": [
4
+ "GLiClassModel"
5
+ ],
6
+ "calibrator_beta_max": 3.0,
7
+ "calibrator_dropout": 0.1,
8
+ "calibrator_hidden_size": 256,
9
+ "calibrator_use_bias": false,
10
+ "class_token_index": 248077,
11
+ "class_token_pooling": "first",
12
+ "contrastive_loss_coef": 0.0,
13
+ "dropout": 0.3,
14
+ "dtype": "float32",
15
+ "embed_class_token": true,
16
+ "encoder_config": {
17
+ "_name_or_path": "Qwen/Qwen3.8-27B",
18
+ "architectures": [
19
+ "Qwen3_5ForConditionalGeneration"
20
+ ],
21
+ "image_token_id": 248056,
22
+ "language_model_only": false,
23
+ "model_type": "qwen3_5",
24
+ "text_config": {
25
+ "_name_or_path": "",
26
+ "architectures": null,
27
+ "attention_bias": false,
28
+ "attention_dropout": 0.0,
29
+ "attn_output_gate": true,
30
+ "bos_token_id": 248044,
31
+ "chunk_size_feed_forward": 0,
32
+ "dtype": "bfloat16",
33
+ "eos_token_id": 248044,
34
+ "full_attention_interval": 4,
35
+ "head_dim": 256,
36
+ "hidden_act": "silu",
37
+ "hidden_size": 5120,
38
+ "id2label": {
39
+ "0": "LABEL_0",
40
+ "1": "LABEL_1"
41
+ },
42
+ "initializer_range": 0.02,
43
+ "intermediate_size": 17408,
44
+ "is_encoder_decoder": false,
45
+ "label2id": {
46
+ "LABEL_0": 0,
47
+ "LABEL_1": 1
48
+ },
49
+ "layer_types": [
50
+ "linear_attention",
51
+ "linear_attention",
52
+ "linear_attention",
53
+ "full_attention",
54
+ "linear_attention",
55
+ "linear_attention",
56
+ "linear_attention",
57
+ "full_attention",
58
+ "linear_attention",
59
+ "linear_attention",
60
+ "linear_attention",
61
+ "full_attention",
62
+ "linear_attention",
63
+ "linear_attention",
64
+ "linear_attention",
65
+ "full_attention",
66
+ "linear_attention",
67
+ "linear_attention",
68
+ "linear_attention",
69
+ "full_attention",
70
+ "linear_attention",
71
+ "linear_attention",
72
+ "linear_attention",
73
+ "full_attention",
74
+ "linear_attention",
75
+ "linear_attention",
76
+ "linear_attention",
77
+ "full_attention",
78
+ "linear_attention",
79
+ "linear_attention",
80
+ "linear_attention",
81
+ "full_attention",
82
+ "linear_attention",
83
+ "linear_attention",
84
+ "linear_attention",
85
+ "full_attention",
86
+ "linear_attention",
87
+ "linear_attention",
88
+ "linear_attention",
89
+ "full_attention",
90
+ "linear_attention",
91
+ "linear_attention",
92
+ "linear_attention",
93
+ "full_attention",
94
+ "linear_attention",
95
+ "linear_attention",
96
+ "linear_attention",
97
+ "full_attention",
98
+ "linear_attention",
99
+ "linear_attention",
100
+ "linear_attention",
101
+ "full_attention",
102
+ "linear_attention",
103
+ "linear_attention",
104
+ "linear_attention",
105
+ "full_attention",
106
+ "linear_attention",
107
+ "linear_attention",
108
+ "linear_attention",
109
+ "full_attention",
110
+ "linear_attention",
111
+ "linear_attention",
112
+ "linear_attention",
113
+ "full_attention"
114
+ ],
115
+ "linear_conv_kernel_dim": 4,
116
+ "linear_key_head_dim": 128,
117
+ "linear_num_key_heads": 16,
118
+ "linear_num_value_heads": 48,
119
+ "linear_value_head_dim": 128,
120
+ "mamba_ssm_dtype": "float32",
121
+ "max_position_embeddings": 262144,
122
+ "model_type": "qwen3_5_text",
123
+ "mtp_num_hidden_layers": 1,
124
+ "mtp_use_dedicated_embeddings": false,
125
+ "num_attention_heads": 24,
126
+ "num_hidden_layers": 64,
127
+ "num_key_value_heads": 4,
128
+ "output_attentions": false,
129
+ "output_gate_type": "swish",
130
+ "output_hidden_states": false,
131
+ "pad_token_id": null,
132
+ "partial_rotary_factor": 0.25,
133
+ "problem_type": null,
134
+ "return_dict": true,
135
+ "rms_norm_eps": 1e-06,
136
+ "rope_parameters": {
137
+ "mrope_interleaved": true,
138
+ "mrope_section": [
139
+ 11,
140
+ 11,
141
+ 10
142
+ ],
143
+ "partial_rotary_factor": 0.25,
144
+ "rope_theta": 10000000,
145
+ "rope_type": "default"
146
+ },
147
+ "tie_word_embeddings": false,
148
+ "use_cache": true,
149
+ "vocab_size": 248080
150
+ },
151
+ "tie_word_embeddings": false,
152
+ "video_token_id": 248057,
153
+ "vision_config": {
154
+ "_name_or_path": "",
155
+ "architectures": null,
156
+ "chunk_size_feed_forward": 0,
157
+ "deepstack_visual_indexes": [],
158
+ "depth": 27,
159
+ "dtype": null,
160
+ "hidden_act": "gelu_pytorch_tanh",
161
+ "hidden_size": 1152,
162
+ "id2label": {
163
+ "0": "LABEL_0",
164
+ "1": "LABEL_1"
165
+ },
166
+ "in_channels": 3,
167
+ "initializer_range": 0.02,
168
+ "intermediate_size": 4304,
169
+ "is_encoder_decoder": false,
170
+ "label2id": {
171
+ "LABEL_0": 0,
172
+ "LABEL_1": 1
173
+ },
174
+ "model_type": "qwen3_5_vision",
175
+ "num_heads": 16,
176
+ "num_position_embeddings": 2304,
177
+ "out_hidden_size": 5120,
178
+ "output_attentions": false,
179
+ "output_hidden_states": false,
180
+ "patch_size": 16,
181
+ "problem_type": null,
182
+ "return_dict": true,
183
+ "rope_parameters": {
184
+ "rope_theta": 10000.0,
185
+ "rope_type": "axial"
186
+ },
187
+ "spatial_merge_size": 2,
188
+ "temporal_patch_size": 2
189
+ },
190
+ "vision_end_token_id": 248054,
191
+ "vision_start_token_id": 248053
192
+ },
193
+ "encoder_layer_id": -1,
194
+ "encoder_model_name": "Qwen/Qwen3.8-27B",
195
+ "eos_token_id": 248046,
196
+ "example_token_index": 248079,
197
+ "extract_text_features": false,
198
+ "focal_loss_alpha": 0.75,
199
+ "focal_loss_gamma": -1,
200
+ "focal_loss_reduction": "none",
201
+ "freeze_media_encoders": true,
202
+ "hidden_size": 5120,
203
+ "ignore_index": -100,
204
+ "initializer_range": 0.03,
205
+ "label_model_config": {
206
+ "_name_or_path": "BAAI/bge-small-en-v1.5",
207
+ "add_cross_attention": false,
208
+ "architectures": [
209
+ "BertModel"
210
+ ],
211
+ "attention_probs_dropout_prob": 0.1,
212
+ "bos_token_id": null,
213
+ "chunk_size_feed_forward": 0,
214
+ "classifier_dropout": null,
215
+ "dtype": "float32",
216
+ "eos_token_id": null,
217
+ "hidden_act": "gelu",
218
+ "hidden_dropout_prob": 0.1,
219
+ "hidden_size": 384,
220
+ "id2label": {
221
+ "0": "LABEL_0"
222
+ },
223
+ "initializer_range": 0.02,
224
+ "intermediate_size": 1536,
225
+ "is_decoder": false,
226
+ "is_encoder_decoder": false,
227
+ "label2id": {
228
+ "LABEL_0": 0
229
+ },
230
+ "layer_norm_eps": 1e-12,
231
+ "max_position_embeddings": 512,
232
+ "model_type": "bert",
233
+ "num_attention_heads": 12,
234
+ "num_hidden_layers": 12,
235
+ "output_attentions": false,
236
+ "output_hidden_states": false,
237
+ "pad_token_id": 0,
238
+ "position_embedding_type": "absolute",
239
+ "problem_type": null,
240
+ "return_dict": true,
241
+ "tie_word_embeddings": true,
242
+ "type_vocab_size": 2,
243
+ "use_cache": true,
244
+ "vocab_size": 30522
245
+ },
246
+ "label_model_name": "BAAI/bge-small-en-v1.5",
247
+ "layer_wise": false,
248
+ "logit_scale_init_value": 2.6592,
249
+ "max_labels_alloc": "dynamic",
250
+ "max_num_classes": 25,
251
+ "model_type": "GLiClass",
252
+ "multimodal": true,
253
+ "normalize_features": false,
254
+ "pad_token_id": 248044,
255
+ "pooling_strategy": "avg",
256
+ "problem_type": "multi_label_classification",
257
+ "projector_hidden_act": "gelu",
258
+ "prompt_first": true,
259
+ "recurrent_bptt_steps": null,
260
+ "recurrent_confidence_coef": 0.0,
261
+ "recurrent_confidence_margin": 0.0,
262
+ "recurrent_confidence_mode": "relative",
263
+ "recurrent_halt_threshold": 0.01,
264
+ "recurrent_improvement_coef": 0.1,
265
+ "recurrent_improvement_margin": 0.05,
266
+ "recurrent_inference": true,
267
+ "recurrent_inference_max_steps": null,
268
+ "recurrent_min_steps": 1,
269
+ "recurrent_read_text": false,
270
+ "recurrent_steps": 3,
271
+ "scorer_attn_dropout": 0.1,
272
+ "scorer_encoder_num_layers": 2,
273
+ "scorer_full_sequence": false,
274
+ "scorer_mlp_hidden_size": 1024,
275
+ "scorer_num_heads": 16,
276
+ "scorer_type": "simple",
277
+ "sep_token_index": 248078,
278
+ "shuffle_labels": true,
279
+ "squeeze_layers": false,
280
+ "text_token_index": 248078,
281
+ "transformers_version": "5.19.0",
282
+ "use_cache": false,
283
+ "use_calibrator": false,
284
+ "use_embedding_projection": false,
285
+ "use_lstm": false,
286
+ "use_segment_embeddings": false,
287
+ "vocab_size": 248080
288
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6846bbbfca512047421f603a246963ecd003b707e5b06d7fce23338e8ea1958c
3
+ size 49951172240
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1cbe6231a900d8e15e3b178e659cc04d458bfa875c3ddd083c05ded6ae2a99d6
3
+ size 25631013660
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
processor_config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "image_processor": {
3
+ "do_convert_rgb": true,
4
+ "do_normalize": true,
5
+ "do_rescale": true,
6
+ "do_resize": true,
7
+ "image_mean": [
8
+ 0.5,
9
+ 0.5,
10
+ 0.5
11
+ ],
12
+ "image_processor_type": "Qwen2VLImageProcessor",
13
+ "image_std": [
14
+ 0.5,
15
+ 0.5,
16
+ 0.5
17
+ ],
18
+ "merge_size": 2,
19
+ "patch_size": 16,
20
+ "resample": 3,
21
+ "rescale_factor": 0.00392156862745098,
22
+ "size": {
23
+ "longest_edge": 16777216,
24
+ "shortest_edge": 65536
25
+ },
26
+ "temporal_patch_size": 2
27
+ },
28
+ "processor_class": "Qwen3VLProcessor",
29
+ "video_processor": {
30
+ "do_convert_rgb": true,
31
+ "do_normalize": true,
32
+ "do_rescale": true,
33
+ "do_resize": true,
34
+ "do_sample_frames": true,
35
+ "fps": 2,
36
+ "image_mean": [
37
+ 0.5,
38
+ 0.5,
39
+ 0.5
40
+ ],
41
+ "image_std": [
42
+ 0.5,
43
+ 0.5,
44
+ 0.5
45
+ ],
46
+ "max_frames": 768,
47
+ "max_video_tokens": 768,
48
+ "merge_size": 2,
49
+ "min_frames": 4,
50
+ "patch_size": 16,
51
+ "resample": 3,
52
+ "rescale_factor": 0.00392156862745098,
53
+ "return_metadata": false,
54
+ "size": {
55
+ "longest_edge": 25165824,
56
+ "shortest_edge": 4096
57
+ },
58
+ "temporal_patch_size": 2,
59
+ "video_processor_type": "Qwen3VLVideoProcessor"
60
+ }
61
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04472e9fcd4aea467a49025c27c0469a428bda2f812268fc9b26fea77c016f71
3
+ size 19989897
tokenizer_config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|im_end|>",
10
+ "errors": "replace",
11
+ "extra_special_tokens": [
12
+ "<|im_start|>",
13
+ "<|im_end|>",
14
+ "<|object_ref_start|>",
15
+ "<|object_ref_end|>",
16
+ "<|box_start|>",
17
+ "<|box_end|>",
18
+ "<|quad_start|>",
19
+ "<|quad_end|>",
20
+ "<|vision_start|>",
21
+ "<|vision_end|>",
22
+ "<|vision_pad|>",
23
+ "<|image_pad|>",
24
+ "<|video_pad|>"
25
+ ],
26
+ "image_token": "<|image_pad|>",
27
+ "is_local": false,
28
+ "local_files_only": false,
29
+ "merges_file": null,
30
+ "model_max_length": 262144,
31
+ "model_specific_special_tokens": {
32
+ "audio_bos_token": "<|audio_start|>",
33
+ "audio_eos_token": "<|audio_end|>",
34
+ "audio_token": "<|audio_pad|>",
35
+ "image_token": "<|image_pad|>",
36
+ "video_token": "<|video_pad|>",
37
+ "vision_bos_token": "<|vision_start|>",
38
+ "vision_eos_token": "<|vision_end|>"
39
+ },
40
+ "pad_token": "<|endoftext|>",
41
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
42
+ "processor_class": "Qwen3VLProcessor",
43
+ "split_special_tokens": false,
44
+ "tokenizer_class": "Qwen3_5Tokenizer",
45
+ "unk_token": null,
46
+ "video_token": "<|video_pad|>",
47
+ "vision_bos_token": "<|vision_start|>",
48
+ "vision_eos_token": "<|vision_end|>"
49
+ }
trainer_state.json ADDED
@@ -0,0 +1,2056 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.3377617653681603,
6
+ "eval_steps": 500,
7
+ "global_step": 3000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "entropy_step_1": 0.5071,
14
+ "entropy_step_2": 0.5119,
15
+ "entropy_step_3": 0.5334,
16
+ "epoch": 0.002251745102454402,
17
+ "grad_norm": 152.6436767578125,
18
+ "learning_rate": 2.1348314606741574e-06,
19
+ "loss": 0.3228358507156372,
20
+ "loss_step_1": 0.3397,
21
+ "loss_step_2": 0.323,
22
+ "loss_step_3": 0.3292,
23
+ "step": 20
24
+ },
25
+ {
26
+ "entropy_step_1": 0.4986,
27
+ "entropy_step_2": 0.5136,
28
+ "entropy_step_3": 0.5174,
29
+ "epoch": 0.004503490204908804,
30
+ "grad_norm": 82.56465911865234,
31
+ "learning_rate": 4.382022471910113e-06,
32
+ "loss": 0.29514193534851074,
33
+ "loss_step_1": 0.2969,
34
+ "loss_step_2": 0.2954,
35
+ "loss_step_3": 0.3208,
36
+ "step": 40
37
+ },
38
+ {
39
+ "entropy_step_1": 0.4912,
40
+ "entropy_step_2": 0.4888,
41
+ "entropy_step_3": 0.4925,
42
+ "epoch": 0.006755235307363206,
43
+ "grad_norm": 96.96111297607422,
44
+ "learning_rate": 6.629213483146068e-06,
45
+ "loss": 0.27988529205322266,
46
+ "loss_step_1": 0.2897,
47
+ "loss_step_2": 0.2827,
48
+ "loss_step_3": 0.2716,
49
+ "step": 60
50
+ },
51
+ {
52
+ "entropy_step_1": 0.5095,
53
+ "entropy_step_2": 0.5193,
54
+ "entropy_step_3": 0.5371,
55
+ "epoch": 0.009006980409817608,
56
+ "grad_norm": 69.78874206542969,
57
+ "learning_rate": 8.876404494382023e-06,
58
+ "loss": 0.2626279354095459,
59
+ "loss_step_1": 0.2705,
60
+ "loss_step_2": 0.2666,
61
+ "loss_step_3": 0.2681,
62
+ "step": 80
63
+ },
64
+ {
65
+ "entropy_step_1": 0.5451,
66
+ "entropy_step_2": 0.5455,
67
+ "entropy_step_3": 0.5558,
68
+ "epoch": 0.01125872551227201,
69
+ "grad_norm": 55.91513442993164,
70
+ "learning_rate": 1.1123595505617979e-05,
71
+ "loss": 0.27101755142211914,
72
+ "loss_step_1": 0.2703,
73
+ "loss_step_2": 0.271,
74
+ "loss_step_3": 0.2681,
75
+ "step": 100
76
+ },
77
+ {
78
+ "entropy_step_1": 0.5382,
79
+ "entropy_step_2": 0.5378,
80
+ "entropy_step_3": 0.5583,
81
+ "epoch": 0.013510470614726412,
82
+ "grad_norm": 41.265892028808594,
83
+ "learning_rate": 1.3370786516853933e-05,
84
+ "loss": 0.2572871923446655,
85
+ "loss_step_1": 0.2591,
86
+ "loss_step_2": 0.2582,
87
+ "loss_step_3": 0.2676,
88
+ "step": 120
89
+ },
90
+ {
91
+ "entropy_step_1": 0.569,
92
+ "entropy_step_2": 0.5649,
93
+ "entropy_step_3": 0.5679,
94
+ "epoch": 0.015762215717180814,
95
+ "grad_norm": 36.103328704833984,
96
+ "learning_rate": 1.561797752808989e-05,
97
+ "loss": 0.2525103807449341,
98
+ "loss_step_1": 0.2513,
99
+ "loss_step_2": 0.2497,
100
+ "loss_step_3": 0.2568,
101
+ "step": 140
102
+ },
103
+ {
104
+ "entropy_step_1": 0.5107,
105
+ "entropy_step_2": 0.5314,
106
+ "entropy_step_3": 0.553,
107
+ "epoch": 0.018013960819635216,
108
+ "grad_norm": 82.27144622802734,
109
+ "learning_rate": 1.7865168539325843e-05,
110
+ "loss": 0.24409973621368408,
111
+ "loss_step_1": 0.2396,
112
+ "loss_step_2": 0.2354,
113
+ "loss_step_3": 0.2597,
114
+ "step": 160
115
+ },
116
+ {
117
+ "entropy_step_1": 0.5096,
118
+ "entropy_step_2": 0.5089,
119
+ "entropy_step_3": 0.5026,
120
+ "epoch": 0.02026570592208962,
121
+ "grad_norm": 56.205013275146484,
122
+ "learning_rate": 2.01123595505618e-05,
123
+ "loss": 0.24852406978607178,
124
+ "loss_step_1": 0.2405,
125
+ "loss_step_2": 0.2359,
126
+ "loss_step_3": 0.2298,
127
+ "step": 180
128
+ },
129
+ {
130
+ "entropy_step_1": 0.5096,
131
+ "entropy_step_2": 0.5212,
132
+ "entropy_step_3": 0.505,
133
+ "epoch": 0.02251745102454402,
134
+ "grad_norm": 90.33285522460938,
135
+ "learning_rate": 2.2359550561797755e-05,
136
+ "loss": 0.26528267860412597,
137
+ "loss_step_1": 0.2671,
138
+ "loss_step_2": 0.268,
139
+ "loss_step_3": 0.2574,
140
+ "step": 200
141
+ },
142
+ {
143
+ "entropy_step_1": 0.5181,
144
+ "entropy_step_2": 0.5089,
145
+ "entropy_step_3": 0.5073,
146
+ "epoch": 0.024769196126998422,
147
+ "grad_norm": 37.29897689819336,
148
+ "learning_rate": 2.4606741573033708e-05,
149
+ "loss": 0.25939555168151857,
150
+ "loss_step_1": 0.259,
151
+ "loss_step_2": 0.2639,
152
+ "loss_step_3": 0.2608,
153
+ "step": 220
154
+ },
155
+ {
156
+ "entropy_step_1": 0.5119,
157
+ "entropy_step_2": 0.5074,
158
+ "entropy_step_3": 0.5096,
159
+ "epoch": 0.027020941229452825,
160
+ "grad_norm": 32.72456359863281,
161
+ "learning_rate": 2.6853932584269664e-05,
162
+ "loss": 0.23640341758728028,
163
+ "loss_step_1": 0.2316,
164
+ "loss_step_2": 0.2363,
165
+ "loss_step_3": 0.231,
166
+ "step": 240
167
+ },
168
+ {
169
+ "entropy_step_1": 0.5365,
170
+ "entropy_step_2": 0.5413,
171
+ "entropy_step_3": 0.5348,
172
+ "epoch": 0.029272686331907227,
173
+ "grad_norm": 64.05130767822266,
174
+ "learning_rate": 2.910112359550562e-05,
175
+ "loss": 0.25620646476745607,
176
+ "loss_step_1": 0.2572,
177
+ "loss_step_2": 0.2605,
178
+ "loss_step_3": 0.2559,
179
+ "step": 260
180
+ },
181
+ {
182
+ "entropy_step_1": 0.511,
183
+ "entropy_step_2": 0.5137,
184
+ "entropy_step_3": 0.5369,
185
+ "epoch": 0.03152443143436163,
186
+ "grad_norm": 11.283477783203125,
187
+ "learning_rate": 3.1348314606741577e-05,
188
+ "loss": 0.2500739812850952,
189
+ "loss_step_1": 0.2508,
190
+ "loss_step_2": 0.255,
191
+ "loss_step_3": 0.2577,
192
+ "step": 280
193
+ },
194
+ {
195
+ "entropy_step_1": 0.4744,
196
+ "entropy_step_2": 0.4708,
197
+ "entropy_step_3": 0.4854,
198
+ "epoch": 0.033776176536816034,
199
+ "grad_norm": 30.046085357666016,
200
+ "learning_rate": 3.359550561797753e-05,
201
+ "loss": 0.2620354652404785,
202
+ "loss_step_1": 0.2531,
203
+ "loss_step_2": 0.2562,
204
+ "loss_step_3": 0.2592,
205
+ "step": 300
206
+ },
207
+ {
208
+ "entropy_step_1": 0.5122,
209
+ "entropy_step_2": 0.5082,
210
+ "entropy_step_3": 0.528,
211
+ "epoch": 0.03602792163927043,
212
+ "grad_norm": 115.32505798339844,
213
+ "learning_rate": 3.584269662921348e-05,
214
+ "loss": 0.23967413902282714,
215
+ "loss_step_1": 0.2444,
216
+ "loss_step_2": 0.2471,
217
+ "loss_step_3": 0.2476,
218
+ "step": 320
219
+ },
220
+ {
221
+ "entropy_step_1": 0.5323,
222
+ "entropy_step_2": 0.5317,
223
+ "entropy_step_3": 0.5358,
224
+ "epoch": 0.03827966674172484,
225
+ "grad_norm": 21.213909149169922,
226
+ "learning_rate": 3.808988764044944e-05,
227
+ "loss": 0.2502254247665405,
228
+ "loss_step_1": 0.2447,
229
+ "loss_step_2": 0.2447,
230
+ "loss_step_3": 0.2492,
231
+ "step": 340
232
+ },
233
+ {
234
+ "entropy_step_1": 0.5409,
235
+ "entropy_step_2": 0.5452,
236
+ "entropy_step_3": 0.5462,
237
+ "epoch": 0.04053141184417924,
238
+ "grad_norm": 61.29066467285156,
239
+ "learning_rate": 4.0337078651685395e-05,
240
+ "loss": 0.24284050464630128,
241
+ "loss_step_1": 0.2415,
242
+ "loss_step_2": 0.2416,
243
+ "loss_step_3": 0.2389,
244
+ "step": 360
245
+ },
246
+ {
247
+ "entropy_step_1": 0.5259,
248
+ "entropy_step_2": 0.5241,
249
+ "entropy_step_3": 0.5625,
250
+ "epoch": 0.04278315694663364,
251
+ "grad_norm": 12.363038063049316,
252
+ "learning_rate": 4.258426966292135e-05,
253
+ "loss": 0.24444761276245117,
254
+ "loss_step_1": 0.244,
255
+ "loss_step_2": 0.2446,
256
+ "loss_step_3": 0.2574,
257
+ "step": 380
258
+ },
259
+ {
260
+ "entropy_step_1": 0.5149,
261
+ "entropy_step_2": 0.5206,
262
+ "entropy_step_3": 0.5308,
263
+ "epoch": 0.04503490204908804,
264
+ "grad_norm": 128.7165985107422,
265
+ "learning_rate": 4.483146067415731e-05,
266
+ "loss": 0.24292342662811278,
267
+ "loss_step_1": 0.2446,
268
+ "loss_step_2": 0.2447,
269
+ "loss_step_3": 0.2457,
270
+ "step": 400
271
+ },
272
+ {
273
+ "entropy_step_1": 0.4971,
274
+ "entropy_step_2": 0.5056,
275
+ "entropy_step_3": 0.507,
276
+ "epoch": 0.047286647151542446,
277
+ "grad_norm": 23.033126831054688,
278
+ "learning_rate": 4.707865168539326e-05,
279
+ "loss": 0.24463484287261963,
280
+ "loss_step_1": 0.2467,
281
+ "loss_step_2": 0.2435,
282
+ "loss_step_3": 0.2437,
283
+ "step": 420
284
+ },
285
+ {
286
+ "entropy_step_1": 0.4698,
287
+ "entropy_step_2": 0.4834,
288
+ "entropy_step_3": 0.4777,
289
+ "epoch": 0.049538392253996845,
290
+ "grad_norm": 310.9460754394531,
291
+ "learning_rate": 4.932584269662921e-05,
292
+ "loss": 0.2659726142883301,
293
+ "loss_step_1": 0.2726,
294
+ "loss_step_2": 0.274,
295
+ "loss_step_3": 0.2631,
296
+ "step": 440
297
+ },
298
+ {
299
+ "entropy_step_1": 0.4355,
300
+ "entropy_step_2": 0.4385,
301
+ "entropy_step_3": 0.454,
302
+ "epoch": 0.05179013735645125,
303
+ "grad_norm": 42.6382942199707,
304
+ "learning_rate": 4.991703212042195e-05,
305
+ "loss": 0.26493167877197266,
306
+ "loss_step_1": 0.2585,
307
+ "loss_step_2": 0.2619,
308
+ "loss_step_3": 0.2874,
309
+ "step": 460
310
+ },
311
+ {
312
+ "entropy_step_1": 0.5178,
313
+ "entropy_step_2": 0.5251,
314
+ "entropy_step_3": 0.5181,
315
+ "epoch": 0.05404188245890565,
316
+ "grad_norm": 26.805788040161133,
317
+ "learning_rate": 4.97985065781676e-05,
318
+ "loss": 0.23524324893951415,
319
+ "loss_step_1": 0.2401,
320
+ "loss_step_2": 0.2446,
321
+ "loss_step_3": 0.2447,
322
+ "step": 480
323
+ },
324
+ {
325
+ "entropy_step_1": 0.4867,
326
+ "entropy_step_2": 0.4941,
327
+ "entropy_step_3": 0.5018,
328
+ "epoch": 0.056293627561360055,
329
+ "grad_norm": 76.55230712890625,
330
+ "learning_rate": 4.967998103591324e-05,
331
+ "loss": 0.23355183601379395,
332
+ "loss_step_1": 0.2355,
333
+ "loss_step_2": 0.2352,
334
+ "loss_step_3": 0.2434,
335
+ "step": 500
336
+ },
337
+ {
338
+ "epoch": 0.056293627561360055,
339
+ "eval_accuracy": 0.9625,
340
+ "eval_f1": 0.9515068493150685,
341
+ "eval_loss": 0.14244329929351807,
342
+ "eval_precision": 0.9472972972972973,
343
+ "eval_recall": 0.9625,
344
+ "eval_runtime": 9.7208,
345
+ "eval_samples_per_second": 10.287,
346
+ "eval_steps_per_second": 1.337,
347
+ "step": 500
348
+ },
349
+ {
350
+ "entropy_step_1": 0.4976,
351
+ "entropy_step_2": 0.5087,
352
+ "entropy_step_3": 0.497,
353
+ "epoch": 0.05854537266381445,
354
+ "grad_norm": 69.90751647949219,
355
+ "learning_rate": 4.9561455493658886e-05,
356
+ "loss": 0.2311638593673706,
357
+ "loss_step_1": 0.2166,
358
+ "loss_step_2": 0.2179,
359
+ "loss_step_3": 0.2117,
360
+ "step": 520
361
+ },
362
+ {
363
+ "entropy_step_1": 0.5476,
364
+ "entropy_step_2": 0.5545,
365
+ "entropy_step_3": 0.5697,
366
+ "epoch": 0.06079711776626886,
367
+ "grad_norm": 14.77850341796875,
368
+ "learning_rate": 4.944292995140453e-05,
369
+ "loss": 0.2462395668029785,
370
+ "loss_step_1": 0.2399,
371
+ "loss_step_2": 0.2391,
372
+ "loss_step_3": 0.242,
373
+ "step": 540
374
+ },
375
+ {
376
+ "entropy_step_1": 0.4636,
377
+ "entropy_step_2": 0.4637,
378
+ "entropy_step_3": 0.4628,
379
+ "epoch": 0.06304886286872326,
380
+ "grad_norm": 189.9615936279297,
381
+ "learning_rate": 4.9324404409150174e-05,
382
+ "loss": 0.29347028732299807,
383
+ "loss_step_1": 0.2986,
384
+ "loss_step_2": 0.3006,
385
+ "loss_step_3": 0.2919,
386
+ "step": 560
387
+ },
388
+ {
389
+ "entropy_step_1": 0.5222,
390
+ "entropy_step_2": 0.5247,
391
+ "entropy_step_3": 0.5243,
392
+ "epoch": 0.06530060797117766,
393
+ "grad_norm": 31.364818572998047,
394
+ "learning_rate": 4.920587886689582e-05,
395
+ "loss": 0.26621253490448,
396
+ "loss_step_1": 0.2646,
397
+ "loss_step_2": 0.2668,
398
+ "loss_step_3": 0.2686,
399
+ "step": 580
400
+ },
401
+ {
402
+ "entropy_step_1": 0.5319,
403
+ "entropy_step_2": 0.5297,
404
+ "entropy_step_3": 0.5233,
405
+ "epoch": 0.06755235307363207,
406
+ "grad_norm": 14.925419807434082,
407
+ "learning_rate": 4.908735332464146e-05,
408
+ "loss": 0.22840323448181152,
409
+ "loss_step_1": 0.2335,
410
+ "loss_step_2": 0.233,
411
+ "loss_step_3": 0.226,
412
+ "step": 600
413
+ },
414
+ {
415
+ "entropy_step_1": 0.522,
416
+ "entropy_step_2": 0.5204,
417
+ "entropy_step_3": 0.5244,
418
+ "epoch": 0.06980409817608647,
419
+ "grad_norm": 3.6739323139190674,
420
+ "learning_rate": 4.8968827782387106e-05,
421
+ "loss": 0.22206854820251465,
422
+ "loss_step_1": 0.2259,
423
+ "loss_step_2": 0.2259,
424
+ "loss_step_3": 0.2294,
425
+ "step": 620
426
+ },
427
+ {
428
+ "entropy_step_1": 0.5309,
429
+ "entropy_step_2": 0.5362,
430
+ "entropy_step_3": 0.5306,
431
+ "epoch": 0.07205584327854087,
432
+ "grad_norm": 21.777225494384766,
433
+ "learning_rate": 4.885030224013275e-05,
434
+ "loss": 0.2330942392349243,
435
+ "loss_step_1": 0.2338,
436
+ "loss_step_2": 0.2335,
437
+ "loss_step_3": 0.2299,
438
+ "step": 640
439
+ },
440
+ {
441
+ "entropy_step_1": 0.4562,
442
+ "entropy_step_2": 0.4599,
443
+ "entropy_step_3": 0.4735,
444
+ "epoch": 0.07430758838099527,
445
+ "grad_norm": 120.43797302246094,
446
+ "learning_rate": 4.8731776697878395e-05,
447
+ "loss": 0.2406167984008789,
448
+ "loss_step_1": 0.2349,
449
+ "loss_step_2": 0.2387,
450
+ "loss_step_3": 0.2598,
451
+ "step": 660
452
+ },
453
+ {
454
+ "entropy_step_1": 0.4436,
455
+ "entropy_step_2": 0.465,
456
+ "entropy_step_3": 0.4566,
457
+ "epoch": 0.07655933348344968,
458
+ "grad_norm": 36.90608215332031,
459
+ "learning_rate": 4.861325115562404e-05,
460
+ "loss": 0.19849456548690797,
461
+ "loss_step_1": 0.1943,
462
+ "loss_step_2": 0.1956,
463
+ "loss_step_3": 0.19,
464
+ "step": 680
465
+ },
466
+ {
467
+ "entropy_step_1": 0.4146,
468
+ "entropy_step_2": 0.4284,
469
+ "entropy_step_3": 0.4569,
470
+ "epoch": 0.07881107858590408,
471
+ "grad_norm": 20.899234771728516,
472
+ "learning_rate": 4.849472561336968e-05,
473
+ "loss": 0.17954031229019166,
474
+ "loss_step_1": 0.1814,
475
+ "loss_step_2": 0.1826,
476
+ "loss_step_3": 0.1989,
477
+ "step": 700
478
+ },
479
+ {
480
+ "entropy_step_1": 0.3553,
481
+ "entropy_step_2": 0.3702,
482
+ "entropy_step_3": 0.3773,
483
+ "epoch": 0.08106282368835847,
484
+ "grad_norm": 23.099576950073242,
485
+ "learning_rate": 4.837620007111533e-05,
486
+ "loss": 0.14584234952926636,
487
+ "loss_step_1": 0.1415,
488
+ "loss_step_2": 0.1424,
489
+ "loss_step_3": 0.1487,
490
+ "step": 720
491
+ },
492
+ {
493
+ "entropy_step_1": 0.3945,
494
+ "entropy_step_2": 0.3976,
495
+ "entropy_step_3": 0.393,
496
+ "epoch": 0.08331456879081288,
497
+ "grad_norm": 35.8271484375,
498
+ "learning_rate": 4.825767452886097e-05,
499
+ "loss": 0.19350186586380005,
500
+ "loss_step_1": 0.1948,
501
+ "loss_step_2": 0.1955,
502
+ "loss_step_3": 0.155,
503
+ "step": 740
504
+ },
505
+ {
506
+ "entropy_step_1": 0.3417,
507
+ "entropy_step_2": 0.3498,
508
+ "entropy_step_3": 0.3445,
509
+ "epoch": 0.08556631389326728,
510
+ "grad_norm": 25.94721031188965,
511
+ "learning_rate": 4.8139148986606615e-05,
512
+ "loss": 0.15360891819000244,
513
+ "loss_step_1": 0.153,
514
+ "loss_step_2": 0.1513,
515
+ "loss_step_3": 0.143,
516
+ "step": 760
517
+ },
518
+ {
519
+ "entropy_step_1": 0.2974,
520
+ "entropy_step_2": 0.2995,
521
+ "entropy_step_3": 0.2892,
522
+ "epoch": 0.08781805899572169,
523
+ "grad_norm": 36.524986267089844,
524
+ "learning_rate": 4.802062344435226e-05,
525
+ "loss": 0.12694748640060424,
526
+ "loss_step_1": 0.1222,
527
+ "loss_step_2": 0.1223,
528
+ "loss_step_3": 0.1054,
529
+ "step": 780
530
+ },
531
+ {
532
+ "entropy_step_1": 0.3502,
533
+ "entropy_step_2": 0.3493,
534
+ "entropy_step_3": 0.3637,
535
+ "epoch": 0.09006980409817608,
536
+ "grad_norm": 19.627296447753906,
537
+ "learning_rate": 4.7902097902097904e-05,
538
+ "loss": 0.14579046964645387,
539
+ "loss_step_1": 0.1417,
540
+ "loss_step_2": 0.1424,
541
+ "loss_step_3": 0.1332,
542
+ "step": 800
543
+ },
544
+ {
545
+ "entropy_step_1": 0.2712,
546
+ "entropy_step_2": 0.2813,
547
+ "entropy_step_3": 0.2782,
548
+ "epoch": 0.09232154920063049,
549
+ "grad_norm": 10.341985702514648,
550
+ "learning_rate": 4.778357235984355e-05,
551
+ "loss": 0.11724411249160767,
552
+ "loss_step_1": 0.1098,
553
+ "loss_step_2": 0.1094,
554
+ "loss_step_3": 0.1039,
555
+ "step": 820
556
+ },
557
+ {
558
+ "entropy_step_1": 0.279,
559
+ "entropy_step_2": 0.284,
560
+ "entropy_step_3": 0.2586,
561
+ "epoch": 0.09457329430308489,
562
+ "grad_norm": 45.71856689453125,
563
+ "learning_rate": 4.766504681758919e-05,
564
+ "loss": 0.14866987466812134,
565
+ "loss_step_1": 0.1415,
566
+ "loss_step_2": 0.1408,
567
+ "loss_step_3": 0.131,
568
+ "step": 840
569
+ },
570
+ {
571
+ "entropy_step_1": 0.3152,
572
+ "entropy_step_2": 0.3161,
573
+ "entropy_step_3": 0.3284,
574
+ "epoch": 0.0968250394055393,
575
+ "grad_norm": 85.21240234375,
576
+ "learning_rate": 4.7546521275334836e-05,
577
+ "loss": 0.14316539764404296,
578
+ "loss_step_1": 0.1553,
579
+ "loss_step_2": 0.1554,
580
+ "loss_step_3": 0.161,
581
+ "step": 860
582
+ },
583
+ {
584
+ "entropy_step_1": 0.3032,
585
+ "entropy_step_2": 0.3137,
586
+ "entropy_step_3": 0.2967,
587
+ "epoch": 0.09907678450799369,
588
+ "grad_norm": 45.822105407714844,
589
+ "learning_rate": 4.742799573308048e-05,
590
+ "loss": 0.12941205501556396,
591
+ "loss_step_1": 0.1371,
592
+ "loss_step_2": 0.1368,
593
+ "loss_step_3": 0.133,
594
+ "step": 880
595
+ },
596
+ {
597
+ "entropy_step_1": 0.2648,
598
+ "entropy_step_2": 0.2713,
599
+ "entropy_step_3": 0.2632,
600
+ "epoch": 0.1013285296104481,
601
+ "grad_norm": 52.29207229614258,
602
+ "learning_rate": 4.7309470190826124e-05,
603
+ "loss": 0.12652232646942138,
604
+ "loss_step_1": 0.125,
605
+ "loss_step_2": 0.1247,
606
+ "loss_step_3": 0.1238,
607
+ "step": 900
608
+ },
609
+ {
610
+ "entropy_step_1": 0.2569,
611
+ "entropy_step_2": 0.2674,
612
+ "entropy_step_3": 0.2845,
613
+ "epoch": 0.1035802747129025,
614
+ "grad_norm": 42.026790618896484,
615
+ "learning_rate": 4.7190944648571775e-05,
616
+ "loss": 0.10588388442993164,
617
+ "loss_step_1": 0.1127,
618
+ "loss_step_2": 0.1114,
619
+ "loss_step_3": 0.1156,
620
+ "step": 920
621
+ },
622
+ {
623
+ "entropy_step_1": 0.2346,
624
+ "entropy_step_2": 0.2488,
625
+ "entropy_step_3": 0.2508,
626
+ "epoch": 0.1058320198153569,
627
+ "grad_norm": 5.713146686553955,
628
+ "learning_rate": 4.707241910631741e-05,
629
+ "loss": 0.10807274580001831,
630
+ "loss_step_1": 0.1075,
631
+ "loss_step_2": 0.1075,
632
+ "loss_step_3": 0.1072,
633
+ "step": 940
634
+ },
635
+ {
636
+ "entropy_step_1": 0.2735,
637
+ "entropy_step_2": 0.2775,
638
+ "entropy_step_3": 0.2909,
639
+ "epoch": 0.1080837649178113,
640
+ "grad_norm": 19.495990753173828,
641
+ "learning_rate": 4.695389356406306e-05,
642
+ "loss": 0.11960618495941162,
643
+ "loss_step_1": 0.1136,
644
+ "loss_step_2": 0.114,
645
+ "loss_step_3": 0.1204,
646
+ "step": 960
647
+ },
648
+ {
649
+ "entropy_step_1": 0.2581,
650
+ "entropy_step_2": 0.2582,
651
+ "entropy_step_3": 0.2768,
652
+ "epoch": 0.1103355100202657,
653
+ "grad_norm": 26.731643676757812,
654
+ "learning_rate": 4.68353680218087e-05,
655
+ "loss": 0.10982362031936646,
656
+ "loss_step_1": 0.111,
657
+ "loss_step_2": 0.1104,
658
+ "loss_step_3": 0.1287,
659
+ "step": 980
660
+ },
661
+ {
662
+ "entropy_step_1": 0.2307,
663
+ "entropy_step_2": 0.2353,
664
+ "entropy_step_3": 0.2437,
665
+ "epoch": 0.11258725512272011,
666
+ "grad_norm": 38.24470901489258,
667
+ "learning_rate": 4.6716842479554345e-05,
668
+ "loss": 0.10078544616699218,
669
+ "loss_step_1": 0.0943,
670
+ "loss_step_2": 0.0939,
671
+ "loss_step_3": 0.0934,
672
+ "step": 1000
673
+ },
674
+ {
675
+ "epoch": 0.11258725512272011,
676
+ "eval_accuracy": 0.9821428571428571,
677
+ "eval_f1": 0.9829213537391978,
678
+ "eval_loss": 0.049600545316934586,
679
+ "eval_precision": 0.9841862117981522,
680
+ "eval_recall": 0.9821428571428571,
681
+ "eval_runtime": 9.7838,
682
+ "eval_samples_per_second": 10.221,
683
+ "eval_steps_per_second": 1.329,
684
+ "step": 1000
685
+ },
686
+ {
687
+ "entropy_step_1": 0.2705,
688
+ "entropy_step_2": 0.2724,
689
+ "entropy_step_3": 0.2658,
690
+ "epoch": 0.11483900022517451,
691
+ "grad_norm": 30.772653579711914,
692
+ "learning_rate": 4.659831693729999e-05,
693
+ "loss": 0.13021235466003417,
694
+ "loss_step_1": 0.1523,
695
+ "loss_step_2": 0.1516,
696
+ "loss_step_3": 0.1032,
697
+ "step": 1020
698
+ },
699
+ {
700
+ "entropy_step_1": 0.2125,
701
+ "entropy_step_2": 0.2221,
702
+ "entropy_step_3": 0.2112,
703
+ "epoch": 0.1170907453276289,
704
+ "grad_norm": 36.184364318847656,
705
+ "learning_rate": 4.647979139504563e-05,
706
+ "loss": 0.11268470287322999,
707
+ "loss_step_1": 0.1217,
708
+ "loss_step_2": 0.119,
709
+ "loss_step_3": 0.1171,
710
+ "step": 1040
711
+ },
712
+ {
713
+ "entropy_step_1": 0.2495,
714
+ "entropy_step_2": 0.2624,
715
+ "entropy_step_3": 0.2576,
716
+ "epoch": 0.11934249043008331,
717
+ "grad_norm": 12.86143970489502,
718
+ "learning_rate": 4.636126585279128e-05,
719
+ "loss": 0.09750348925590516,
720
+ "loss_step_1": 0.0982,
721
+ "loss_step_2": 0.0976,
722
+ "loss_step_3": 0.0901,
723
+ "step": 1060
724
+ },
725
+ {
726
+ "entropy_step_1": 0.2096,
727
+ "entropy_step_2": 0.2292,
728
+ "entropy_step_3": 0.2352,
729
+ "epoch": 0.12159423553253772,
730
+ "grad_norm": 11.619362831115723,
731
+ "learning_rate": 4.624274031053692e-05,
732
+ "loss": 0.09676148295402527,
733
+ "loss_step_1": 0.0934,
734
+ "loss_step_2": 0.0934,
735
+ "loss_step_3": 0.1014,
736
+ "step": 1080
737
+ },
738
+ {
739
+ "entropy_step_1": 0.2377,
740
+ "entropy_step_2": 0.2554,
741
+ "entropy_step_3": 0.2914,
742
+ "epoch": 0.12384598063499212,
743
+ "grad_norm": 15.9982271194458,
744
+ "learning_rate": 4.612421476828257e-05,
745
+ "loss": 0.11465377807617187,
746
+ "loss_step_1": 0.1209,
747
+ "loss_step_2": 0.1187,
748
+ "loss_step_3": 0.1461,
749
+ "step": 1100
750
+ },
751
+ {
752
+ "entropy_step_1": 0.2254,
753
+ "entropy_step_2": 0.2429,
754
+ "entropy_step_3": 0.2172,
755
+ "epoch": 0.12609772573744651,
756
+ "grad_norm": 13.497550010681152,
757
+ "learning_rate": 4.600568922602821e-05,
758
+ "loss": 0.09773769974708557,
759
+ "loss_step_1": 0.1001,
760
+ "loss_step_2": 0.0993,
761
+ "loss_step_3": 0.0953,
762
+ "step": 1120
763
+ },
764
+ {
765
+ "entropy_step_1": 0.1969,
766
+ "entropy_step_2": 0.2068,
767
+ "entropy_step_3": 0.1969,
768
+ "epoch": 0.12834947083990092,
769
+ "grad_norm": 15.986771583557129,
770
+ "learning_rate": 4.5887163683773854e-05,
771
+ "loss": 0.11234849691390991,
772
+ "loss_step_1": 0.0848,
773
+ "loss_step_2": 0.0833,
774
+ "loss_step_3": 0.0883,
775
+ "step": 1140
776
+ },
777
+ {
778
+ "entropy_step_1": 0.1976,
779
+ "entropy_step_2": 0.1972,
780
+ "entropy_step_3": 0.1826,
781
+ "epoch": 0.13060121594235533,
782
+ "grad_norm": 54.908870697021484,
783
+ "learning_rate": 4.57686381415195e-05,
784
+ "loss": 0.09917433857917786,
785
+ "loss_step_1": 0.0924,
786
+ "loss_step_2": 0.0914,
787
+ "loss_step_3": 0.0656,
788
+ "step": 1160
789
+ },
790
+ {
791
+ "entropy_step_1": 0.226,
792
+ "entropy_step_2": 0.2217,
793
+ "entropy_step_3": 0.2363,
794
+ "epoch": 0.13285296104480973,
795
+ "grad_norm": 120.96832275390625,
796
+ "learning_rate": 4.565011259926514e-05,
797
+ "loss": 0.09798040986061096,
798
+ "loss_step_1": 0.0855,
799
+ "loss_step_2": 0.0855,
800
+ "loss_step_3": 0.076,
801
+ "step": 1180
802
+ },
803
+ {
804
+ "entropy_step_1": 0.1968,
805
+ "entropy_step_2": 0.1982,
806
+ "entropy_step_3": 0.2086,
807
+ "epoch": 0.13510470614726414,
808
+ "grad_norm": 10.197748184204102,
809
+ "learning_rate": 4.5531587057010786e-05,
810
+ "loss": 0.09928179383277894,
811
+ "loss_step_1": 0.0902,
812
+ "loss_step_2": 0.0905,
813
+ "loss_step_3": 0.0942,
814
+ "step": 1200
815
+ },
816
+ {
817
+ "entropy_step_1": 0.2044,
818
+ "entropy_step_2": 0.2121,
819
+ "entropy_step_3": 0.2027,
820
+ "epoch": 0.13735645124971854,
821
+ "grad_norm": 15.765093803405762,
822
+ "learning_rate": 4.541306151475643e-05,
823
+ "loss": 0.09436439275741577,
824
+ "loss_step_1": 0.097,
825
+ "loss_step_2": 0.0955,
826
+ "loss_step_3": 0.0756,
827
+ "step": 1220
828
+ },
829
+ {
830
+ "entropy_step_1": 0.2002,
831
+ "entropy_step_2": 0.2076,
832
+ "entropy_step_3": 0.1945,
833
+ "epoch": 0.13960819635217295,
834
+ "grad_norm": 21.087186813354492,
835
+ "learning_rate": 4.5294535972502075e-05,
836
+ "loss": 0.08575084209442138,
837
+ "loss_step_1": 0.0889,
838
+ "loss_step_2": 0.0885,
839
+ "loss_step_3": 0.0962,
840
+ "step": 1240
841
+ },
842
+ {
843
+ "entropy_step_1": 0.2292,
844
+ "entropy_step_2": 0.2271,
845
+ "entropy_step_3": 0.2221,
846
+ "epoch": 0.14185994145462733,
847
+ "grad_norm": 20.05746841430664,
848
+ "learning_rate": 4.5176010430247726e-05,
849
+ "loss": 0.09527861475944518,
850
+ "loss_step_1": 0.0926,
851
+ "loss_step_2": 0.0928,
852
+ "loss_step_3": 0.0733,
853
+ "step": 1260
854
+ },
855
+ {
856
+ "entropy_step_1": 0.2401,
857
+ "entropy_step_2": 0.2335,
858
+ "entropy_step_3": 0.25,
859
+ "epoch": 0.14411168655708173,
860
+ "grad_norm": 50.57461166381836,
861
+ "learning_rate": 4.505748488799336e-05,
862
+ "loss": 0.09648898243904114,
863
+ "loss_step_1": 0.0988,
864
+ "loss_step_2": 0.0986,
865
+ "loss_step_3": 0.0976,
866
+ "step": 1280
867
+ },
868
+ {
869
+ "entropy_step_1": 0.1809,
870
+ "entropy_step_2": 0.1837,
871
+ "entropy_step_3": 0.185,
872
+ "epoch": 0.14636343165953614,
873
+ "grad_norm": 22.53580093383789,
874
+ "learning_rate": 4.493895934573901e-05,
875
+ "loss": 0.07595239281654358,
876
+ "loss_step_1": 0.0738,
877
+ "loss_step_2": 0.0736,
878
+ "loss_step_3": 0.0717,
879
+ "step": 1300
880
+ },
881
+ {
882
+ "entropy_step_1": 0.1965,
883
+ "entropy_step_2": 0.2035,
884
+ "entropy_step_3": 0.2156,
885
+ "epoch": 0.14861517676199054,
886
+ "grad_norm": 426.2031555175781,
887
+ "learning_rate": 4.482043380348465e-05,
888
+ "loss": 0.08849629759788513,
889
+ "loss_step_1": 0.0931,
890
+ "loss_step_2": 0.0919,
891
+ "loss_step_3": 0.0906,
892
+ "step": 1320
893
+ },
894
+ {
895
+ "entropy_step_1": 0.2199,
896
+ "entropy_step_2": 0.2205,
897
+ "entropy_step_3": 0.2208,
898
+ "epoch": 0.15086692186444495,
899
+ "grad_norm": 26.94179344177246,
900
+ "learning_rate": 4.4701908261230295e-05,
901
+ "loss": 0.1093055009841919,
902
+ "loss_step_1": 0.1041,
903
+ "loss_step_2": 0.1037,
904
+ "loss_step_3": 0.1117,
905
+ "step": 1340
906
+ },
907
+ {
908
+ "entropy_step_1": 0.2253,
909
+ "entropy_step_2": 0.2234,
910
+ "entropy_step_3": 0.2268,
911
+ "epoch": 0.15311866696689935,
912
+ "grad_norm": 53.97324752807617,
913
+ "learning_rate": 4.458338271897594e-05,
914
+ "loss": 0.1041757583618164,
915
+ "loss_step_1": 0.097,
916
+ "loss_step_2": 0.0963,
917
+ "loss_step_3": 0.0807,
918
+ "step": 1360
919
+ },
920
+ {
921
+ "entropy_step_1": 0.2075,
922
+ "entropy_step_2": 0.2106,
923
+ "entropy_step_3": 0.2047,
924
+ "epoch": 0.15537041206935376,
925
+ "grad_norm": 26.236223220825195,
926
+ "learning_rate": 4.4464857176721584e-05,
927
+ "loss": 0.1046905279159546,
928
+ "loss_step_1": 0.1173,
929
+ "loss_step_2": 0.1191,
930
+ "loss_step_3": 0.1436,
931
+ "step": 1380
932
+ },
933
+ {
934
+ "entropy_step_1": 0.1848,
935
+ "entropy_step_2": 0.1924,
936
+ "entropy_step_3": 0.1819,
937
+ "epoch": 0.15762215717180816,
938
+ "grad_norm": 54.22330093383789,
939
+ "learning_rate": 4.434633163446723e-05,
940
+ "loss": 0.10279273986816406,
941
+ "loss_step_1": 0.1172,
942
+ "loss_step_2": 0.1151,
943
+ "loss_step_3": 0.0833,
944
+ "step": 1400
945
+ },
946
+ {
947
+ "entropy_step_1": 0.2149,
948
+ "entropy_step_2": 0.2245,
949
+ "entropy_step_3": 0.2241,
950
+ "epoch": 0.15987390227426254,
951
+ "grad_norm": 21.585975646972656,
952
+ "learning_rate": 4.422780609221288e-05,
953
+ "loss": 0.09293524026870728,
954
+ "loss_step_1": 0.0896,
955
+ "loss_step_2": 0.0903,
956
+ "loss_step_3": 0.0849,
957
+ "step": 1420
958
+ },
959
+ {
960
+ "entropy_step_1": 0.1844,
961
+ "entropy_step_2": 0.1885,
962
+ "entropy_step_3": 0.1815,
963
+ "epoch": 0.16212564737671695,
964
+ "grad_norm": 13.520930290222168,
965
+ "learning_rate": 4.410928054995852e-05,
966
+ "loss": 0.10251129865646362,
967
+ "loss_step_1": 0.0852,
968
+ "loss_step_2": 0.0852,
969
+ "loss_step_3": 0.0749,
970
+ "step": 1440
971
+ },
972
+ {
973
+ "entropy_step_1": 0.1905,
974
+ "entropy_step_2": 0.1905,
975
+ "entropy_step_3": 0.1807,
976
+ "epoch": 0.16437739247917135,
977
+ "grad_norm": 8.29106616973877,
978
+ "learning_rate": 4.399075500770416e-05,
979
+ "loss": 0.08954123258590699,
980
+ "loss_step_1": 0.0831,
981
+ "loss_step_2": 0.0828,
982
+ "loss_step_3": 0.074,
983
+ "step": 1460
984
+ },
985
+ {
986
+ "entropy_step_1": 0.1977,
987
+ "entropy_step_2": 0.1943,
988
+ "entropy_step_3": 0.1847,
989
+ "epoch": 0.16662913758162576,
990
+ "grad_norm": 32.59114456176758,
991
+ "learning_rate": 4.3872229465449804e-05,
992
+ "loss": 0.08137682676315308,
993
+ "loss_step_1": 0.0807,
994
+ "loss_step_2": 0.0811,
995
+ "loss_step_3": 0.0765,
996
+ "step": 1480
997
+ },
998
+ {
999
+ "entropy_step_1": 0.1979,
1000
+ "entropy_step_2": 0.1906,
1001
+ "entropy_step_3": 0.196,
1002
+ "epoch": 0.16888088268408016,
1003
+ "grad_norm": 28.63804817199707,
1004
+ "learning_rate": 4.375370392319545e-05,
1005
+ "loss": 0.08560625910758972,
1006
+ "loss_step_1": 0.0875,
1007
+ "loss_step_2": 0.0891,
1008
+ "loss_step_3": 0.0898,
1009
+ "step": 1500
1010
+ },
1011
+ {
1012
+ "epoch": 0.16888088268408016,
1013
+ "eval_accuracy": 0.9832142857142857,
1014
+ "eval_f1": 0.9842921404664746,
1015
+ "eval_loss": 0.03931603580713272,
1016
+ "eval_precision": 0.9864771746205165,
1017
+ "eval_recall": 0.9832142857142857,
1018
+ "eval_runtime": 9.5173,
1019
+ "eval_samples_per_second": 10.507,
1020
+ "eval_steps_per_second": 1.366,
1021
+ "step": 1500
1022
+ },
1023
+ {
1024
+ "entropy_step_1": 0.2113,
1025
+ "entropy_step_2": 0.2108,
1026
+ "entropy_step_3": 0.2074,
1027
+ "epoch": 0.17113262778653457,
1028
+ "grad_norm": 5.3955769538879395,
1029
+ "learning_rate": 4.363517838094109e-05,
1030
+ "loss": 0.08812484741210938,
1031
+ "loss_step_1": 0.08,
1032
+ "loss_step_2": 0.0796,
1033
+ "loss_step_3": 0.0844,
1034
+ "step": 1520
1035
+ },
1036
+ {
1037
+ "entropy_step_1": 0.1906,
1038
+ "entropy_step_2": 0.1932,
1039
+ "entropy_step_3": 0.1852,
1040
+ "epoch": 0.17338437288898897,
1041
+ "grad_norm": 22.33837127685547,
1042
+ "learning_rate": 4.351665283868674e-05,
1043
+ "loss": 0.11392149925231934,
1044
+ "loss_step_1": 0.1163,
1045
+ "loss_step_2": 0.1169,
1046
+ "loss_step_3": 0.1491,
1047
+ "step": 1540
1048
+ },
1049
+ {
1050
+ "entropy_step_1": 0.1491,
1051
+ "entropy_step_2": 0.1536,
1052
+ "entropy_step_3": 0.1487,
1053
+ "epoch": 0.17563611799144338,
1054
+ "grad_norm": 93.93433380126953,
1055
+ "learning_rate": 4.339812729643238e-05,
1056
+ "loss": 0.09162638187408448,
1057
+ "loss_step_1": 0.0948,
1058
+ "loss_step_2": 0.0956,
1059
+ "loss_step_3": 0.0818,
1060
+ "step": 1560
1061
+ },
1062
+ {
1063
+ "entropy_step_1": 0.1939,
1064
+ "entropy_step_2": 0.2001,
1065
+ "entropy_step_3": 0.1961,
1066
+ "epoch": 0.17788786309389776,
1067
+ "grad_norm": 4.740994453430176,
1068
+ "learning_rate": 4.3279601754178025e-05,
1069
+ "loss": 0.08496600389480591,
1070
+ "loss_step_1": 0.0817,
1071
+ "loss_step_2": 0.082,
1072
+ "loss_step_3": 0.0878,
1073
+ "step": 1580
1074
+ },
1075
+ {
1076
+ "entropy_step_1": 0.1944,
1077
+ "entropy_step_2": 0.1983,
1078
+ "entropy_step_3": 0.2016,
1079
+ "epoch": 0.18013960819635216,
1080
+ "grad_norm": 18.27373504638672,
1081
+ "learning_rate": 4.3161076211923676e-05,
1082
+ "loss": 0.08413347005844116,
1083
+ "loss_step_1": 0.0836,
1084
+ "loss_step_2": 0.0835,
1085
+ "loss_step_3": 0.0904,
1086
+ "step": 1600
1087
+ },
1088
+ {
1089
+ "entropy_step_1": 0.1708,
1090
+ "entropy_step_2": 0.1757,
1091
+ "entropy_step_3": 0.1726,
1092
+ "epoch": 0.18239135329880657,
1093
+ "grad_norm": 27.723474502563477,
1094
+ "learning_rate": 4.304255066966932e-05,
1095
+ "loss": 0.09160991311073304,
1096
+ "loss_step_1": 0.0823,
1097
+ "loss_step_2": 0.0811,
1098
+ "loss_step_3": 0.081,
1099
+ "step": 1620
1100
+ },
1101
+ {
1102
+ "entropy_step_1": 0.209,
1103
+ "entropy_step_2": 0.2139,
1104
+ "entropy_step_3": 0.2214,
1105
+ "epoch": 0.18464309840126097,
1106
+ "grad_norm": 10.07846736907959,
1107
+ "learning_rate": 4.292402512741496e-05,
1108
+ "loss": 0.09279954433441162,
1109
+ "loss_step_1": 0.1007,
1110
+ "loss_step_2": 0.1001,
1111
+ "loss_step_3": 0.0757,
1112
+ "step": 1640
1113
+ },
1114
+ {
1115
+ "entropy_step_1": 0.2006,
1116
+ "entropy_step_2": 0.2091,
1117
+ "entropy_step_3": 0.2053,
1118
+ "epoch": 0.18689484350371538,
1119
+ "grad_norm": 14.717902183532715,
1120
+ "learning_rate": 4.28054995851606e-05,
1121
+ "loss": 0.08274680376052856,
1122
+ "loss_step_1": 0.0832,
1123
+ "loss_step_2": 0.0824,
1124
+ "loss_step_3": 0.0746,
1125
+ "step": 1660
1126
+ },
1127
+ {
1128
+ "entropy_step_1": 0.1724,
1129
+ "entropy_step_2": 0.1763,
1130
+ "entropy_step_3": 0.1644,
1131
+ "epoch": 0.18914658860616979,
1132
+ "grad_norm": 50.370201110839844,
1133
+ "learning_rate": 4.2686974042906246e-05,
1134
+ "loss": 0.08542762994766236,
1135
+ "loss_step_1": 0.0839,
1136
+ "loss_step_2": 0.0834,
1137
+ "loss_step_3": 0.0696,
1138
+ "step": 1680
1139
+ },
1140
+ {
1141
+ "entropy_step_1": 0.2037,
1142
+ "entropy_step_2": 0.204,
1143
+ "entropy_step_3": 0.2156,
1144
+ "epoch": 0.1913983337086242,
1145
+ "grad_norm": 18.906110763549805,
1146
+ "learning_rate": 4.256844850065189e-05,
1147
+ "loss": 0.08353109955787659,
1148
+ "loss_step_1": 0.0916,
1149
+ "loss_step_2": 0.0915,
1150
+ "loss_step_3": 0.1006,
1151
+ "step": 1700
1152
+ },
1153
+ {
1154
+ "entropy_step_1": 0.1579,
1155
+ "entropy_step_2": 0.1602,
1156
+ "entropy_step_3": 0.1639,
1157
+ "epoch": 0.1936500788110786,
1158
+ "grad_norm": 14.388580322265625,
1159
+ "learning_rate": 4.2449922958397534e-05,
1160
+ "loss": 0.07970066666603089,
1161
+ "loss_step_1": 0.0791,
1162
+ "loss_step_2": 0.079,
1163
+ "loss_step_3": 0.0885,
1164
+ "step": 1720
1165
+ },
1166
+ {
1167
+ "entropy_step_1": 0.1957,
1168
+ "entropy_step_2": 0.1995,
1169
+ "entropy_step_3": 0.1828,
1170
+ "epoch": 0.19590182391353297,
1171
+ "grad_norm": 48.5572395324707,
1172
+ "learning_rate": 4.233139741614318e-05,
1173
+ "loss": 0.08778284192085266,
1174
+ "loss_step_1": 0.0989,
1175
+ "loss_step_2": 0.098,
1176
+ "loss_step_3": 0.0675,
1177
+ "step": 1740
1178
+ },
1179
+ {
1180
+ "entropy_step_1": 0.1851,
1181
+ "entropy_step_2": 0.1894,
1182
+ "entropy_step_3": 0.1887,
1183
+ "epoch": 0.19815356901598738,
1184
+ "grad_norm": 25.075510025024414,
1185
+ "learning_rate": 4.221287187388883e-05,
1186
+ "loss": 0.1105013370513916,
1187
+ "loss_step_1": 0.114,
1188
+ "loss_step_2": 0.1179,
1189
+ "loss_step_3": 0.0817,
1190
+ "step": 1760
1191
+ },
1192
+ {
1193
+ "entropy_step_1": 0.2045,
1194
+ "entropy_step_2": 0.2072,
1195
+ "entropy_step_3": 0.1969,
1196
+ "epoch": 0.20040531411844179,
1197
+ "grad_norm": 45.432674407958984,
1198
+ "learning_rate": 4.209434633163447e-05,
1199
+ "loss": 0.09110472202301026,
1200
+ "loss_step_1": 0.0891,
1201
+ "loss_step_2": 0.0896,
1202
+ "loss_step_3": 0.0891,
1203
+ "step": 1780
1204
+ },
1205
+ {
1206
+ "entropy_step_1": 0.1837,
1207
+ "entropy_step_2": 0.1864,
1208
+ "entropy_step_3": 0.1752,
1209
+ "epoch": 0.2026570592208962,
1210
+ "grad_norm": 36.06223678588867,
1211
+ "learning_rate": 4.197582078938012e-05,
1212
+ "loss": 0.09789063334465027,
1213
+ "loss_step_1": 0.0917,
1214
+ "loss_step_2": 0.0909,
1215
+ "loss_step_3": 0.0774,
1216
+ "step": 1800
1217
+ },
1218
+ {
1219
+ "entropy_step_1": 0.1678,
1220
+ "entropy_step_2": 0.1703,
1221
+ "entropy_step_3": 0.1818,
1222
+ "epoch": 0.2049088043233506,
1223
+ "grad_norm": 10.547739028930664,
1224
+ "learning_rate": 4.1857295247125755e-05,
1225
+ "loss": 0.08343779444694518,
1226
+ "loss_step_1": 0.0849,
1227
+ "loss_step_2": 0.0843,
1228
+ "loss_step_3": 0.0822,
1229
+ "step": 1820
1230
+ },
1231
+ {
1232
+ "entropy_step_1": 0.1455,
1233
+ "entropy_step_2": 0.1514,
1234
+ "entropy_step_3": 0.1602,
1235
+ "epoch": 0.207160549425805,
1236
+ "grad_norm": 19.243698120117188,
1237
+ "learning_rate": 4.17387697048714e-05,
1238
+ "loss": 0.064711594581604,
1239
+ "loss_step_1": 0.0692,
1240
+ "loss_step_2": 0.0691,
1241
+ "loss_step_3": 0.0734,
1242
+ "step": 1840
1243
+ },
1244
+ {
1245
+ "entropy_step_1": 0.1451,
1246
+ "entropy_step_2": 0.1453,
1247
+ "entropy_step_3": 0.1384,
1248
+ "epoch": 0.2094122945282594,
1249
+ "grad_norm": 7.763682842254639,
1250
+ "learning_rate": 4.162024416261704e-05,
1251
+ "loss": 0.06751511693000793,
1252
+ "loss_step_1": 0.064,
1253
+ "loss_step_2": 0.0637,
1254
+ "loss_step_3": 0.0712,
1255
+ "step": 1860
1256
+ },
1257
+ {
1258
+ "entropy_step_1": 0.1772,
1259
+ "entropy_step_2": 0.1779,
1260
+ "entropy_step_3": 0.1817,
1261
+ "epoch": 0.2116640396307138,
1262
+ "grad_norm": 13.758148193359375,
1263
+ "learning_rate": 4.150171862036269e-05,
1264
+ "loss": 0.07371515631675721,
1265
+ "loss_step_1": 0.0704,
1266
+ "loss_step_2": 0.0711,
1267
+ "loss_step_3": 0.0805,
1268
+ "step": 1880
1269
+ },
1270
+ {
1271
+ "entropy_step_1": 0.1872,
1272
+ "entropy_step_2": 0.1877,
1273
+ "entropy_step_3": 0.1918,
1274
+ "epoch": 0.21391578473316822,
1275
+ "grad_norm": 12.492297172546387,
1276
+ "learning_rate": 4.138319307810833e-05,
1277
+ "loss": 0.07589672803878784,
1278
+ "loss_step_1": 0.0793,
1279
+ "loss_step_2": 0.0797,
1280
+ "loss_step_3": 0.0712,
1281
+ "step": 1900
1282
+ },
1283
+ {
1284
+ "entropy_step_1": 0.1755,
1285
+ "entropy_step_2": 0.18,
1286
+ "entropy_step_3": 0.1707,
1287
+ "epoch": 0.2161675298356226,
1288
+ "grad_norm": 20.3720703125,
1289
+ "learning_rate": 4.126466753585398e-05,
1290
+ "loss": 0.0737459897994995,
1291
+ "loss_step_1": 0.0724,
1292
+ "loss_step_2": 0.0717,
1293
+ "loss_step_3": 0.0643,
1294
+ "step": 1920
1295
+ },
1296
+ {
1297
+ "entropy_step_1": 0.1572,
1298
+ "entropy_step_2": 0.1603,
1299
+ "entropy_step_3": 0.1756,
1300
+ "epoch": 0.218419274938077,
1301
+ "grad_norm": 14.254826545715332,
1302
+ "learning_rate": 4.1146141993599626e-05,
1303
+ "loss": 0.0933718740940094,
1304
+ "loss_step_1": 0.1067,
1305
+ "loss_step_2": 0.1067,
1306
+ "loss_step_3": 0.1246,
1307
+ "step": 1940
1308
+ },
1309
+ {
1310
+ "entropy_step_1": 0.1778,
1311
+ "entropy_step_2": 0.1832,
1312
+ "entropy_step_3": 0.1838,
1313
+ "epoch": 0.2206710200405314,
1314
+ "grad_norm": 15.021376609802246,
1315
+ "learning_rate": 4.102761645134527e-05,
1316
+ "loss": 0.10391606092453003,
1317
+ "loss_step_1": 0.0878,
1318
+ "loss_step_2": 0.0868,
1319
+ "loss_step_3": 0.1037,
1320
+ "step": 1960
1321
+ },
1322
+ {
1323
+ "entropy_step_1": 0.1957,
1324
+ "entropy_step_2": 0.2026,
1325
+ "entropy_step_3": 0.1986,
1326
+ "epoch": 0.2229227651429858,
1327
+ "grad_norm": 21.728527069091797,
1328
+ "learning_rate": 4.0909090909090915e-05,
1329
+ "loss": 0.07559056878089905,
1330
+ "loss_step_1": 0.0832,
1331
+ "loss_step_2": 0.0828,
1332
+ "loss_step_3": 0.0745,
1333
+ "step": 1980
1334
+ },
1335
+ {
1336
+ "entropy_step_1": 0.1804,
1337
+ "entropy_step_2": 0.1847,
1338
+ "entropy_step_3": 0.1768,
1339
+ "epoch": 0.22517451024544022,
1340
+ "grad_norm": 36.36247253417969,
1341
+ "learning_rate": 4.079056536683655e-05,
1342
+ "loss": 0.08275629878044129,
1343
+ "loss_step_1": 0.0803,
1344
+ "loss_step_2": 0.0801,
1345
+ "loss_step_3": 0.0851,
1346
+ "step": 2000
1347
+ },
1348
+ {
1349
+ "epoch": 0.22517451024544022,
1350
+ "eval_accuracy": 0.9860714285714286,
1351
+ "eval_f1": 0.9869157659494572,
1352
+ "eval_loss": 0.01845250092446804,
1353
+ "eval_precision": 0.9887818300245491,
1354
+ "eval_recall": 0.9860714285714286,
1355
+ "eval_runtime": 9.5335,
1356
+ "eval_samples_per_second": 10.489,
1357
+ "eval_steps_per_second": 1.364,
1358
+ "step": 2000
1359
+ },
1360
+ {
1361
+ "entropy_step_1": 0.1696,
1362
+ "entropy_step_2": 0.1687,
1363
+ "entropy_step_3": 0.1623,
1364
+ "epoch": 0.22742625534789462,
1365
+ "grad_norm": 11.531885147094727,
1366
+ "learning_rate": 4.0672039824582196e-05,
1367
+ "loss": 0.0685614824295044,
1368
+ "loss_step_1": 0.0716,
1369
+ "loss_step_2": 0.0719,
1370
+ "loss_step_3": 0.0716,
1371
+ "step": 2020
1372
+ },
1373
+ {
1374
+ "entropy_step_1": 0.1677,
1375
+ "entropy_step_2": 0.1682,
1376
+ "entropy_step_3": 0.1779,
1377
+ "epoch": 0.22967800045034903,
1378
+ "grad_norm": 10.91732120513916,
1379
+ "learning_rate": 4.055351428232784e-05,
1380
+ "loss": 0.09348326921463013,
1381
+ "loss_step_1": 0.0993,
1382
+ "loss_step_2": 0.1002,
1383
+ "loss_step_3": 0.1143,
1384
+ "step": 2040
1385
+ },
1386
+ {
1387
+ "entropy_step_1": 0.1656,
1388
+ "entropy_step_2": 0.1689,
1389
+ "entropy_step_3": 0.1667,
1390
+ "epoch": 0.23192974555280343,
1391
+ "grad_norm": 11.45389461517334,
1392
+ "learning_rate": 4.0434988740073485e-05,
1393
+ "loss": 0.08703227043151855,
1394
+ "loss_step_1": 0.089,
1395
+ "loss_step_2": 0.0897,
1396
+ "loss_step_3": 0.0984,
1397
+ "step": 2060
1398
+ },
1399
+ {
1400
+ "entropy_step_1": 0.1785,
1401
+ "entropy_step_2": 0.1841,
1402
+ "entropy_step_3": 0.1879,
1403
+ "epoch": 0.2341814906552578,
1404
+ "grad_norm": 12.561020851135254,
1405
+ "learning_rate": 4.031646319781913e-05,
1406
+ "loss": 0.07899390459060669,
1407
+ "loss_step_1": 0.0909,
1408
+ "loss_step_2": 0.0903,
1409
+ "loss_step_3": 0.0887,
1410
+ "step": 2080
1411
+ },
1412
+ {
1413
+ "entropy_step_1": 0.2004,
1414
+ "entropy_step_2": 0.2118,
1415
+ "entropy_step_3": 0.2125,
1416
+ "epoch": 0.23643323575771222,
1417
+ "grad_norm": 9.441752433776855,
1418
+ "learning_rate": 4.019793765556478e-05,
1419
+ "loss": 0.07696235775947571,
1420
+ "loss_step_1": 0.0789,
1421
+ "loss_step_2": 0.0792,
1422
+ "loss_step_3": 0.0834,
1423
+ "step": 2100
1424
+ },
1425
+ {
1426
+ "entropy_step_1": 0.1602,
1427
+ "entropy_step_2": 0.1654,
1428
+ "entropy_step_3": 0.1796,
1429
+ "epoch": 0.23868498086016662,
1430
+ "grad_norm": 18.588212966918945,
1431
+ "learning_rate": 4.0079412113310424e-05,
1432
+ "loss": 0.08245367407798768,
1433
+ "loss_step_1": 0.0835,
1434
+ "loss_step_2": 0.0826,
1435
+ "loss_step_3": 0.0851,
1436
+ "step": 2120
1437
+ },
1438
+ {
1439
+ "entropy_step_1": 0.1618,
1440
+ "entropy_step_2": 0.1654,
1441
+ "entropy_step_3": 0.1581,
1442
+ "epoch": 0.24093672596262103,
1443
+ "grad_norm": 32.4371223449707,
1444
+ "learning_rate": 3.996088657105607e-05,
1445
+ "loss": 0.07823102474212647,
1446
+ "loss_step_1": 0.0732,
1447
+ "loss_step_2": 0.0723,
1448
+ "loss_step_3": 0.0711,
1449
+ "step": 2140
1450
+ },
1451
+ {
1452
+ "entropy_step_1": 0.1576,
1453
+ "entropy_step_2": 0.1635,
1454
+ "entropy_step_3": 0.1588,
1455
+ "epoch": 0.24318847106507543,
1456
+ "grad_norm": 13.143197059631348,
1457
+ "learning_rate": 3.984236102880171e-05,
1458
+ "loss": 0.08596002459526061,
1459
+ "loss_step_1": 0.0822,
1460
+ "loss_step_2": 0.0834,
1461
+ "loss_step_3": 0.0608,
1462
+ "step": 2160
1463
+ },
1464
+ {
1465
+ "entropy_step_1": 0.1772,
1466
+ "entropy_step_2": 0.185,
1467
+ "entropy_step_3": 0.1685,
1468
+ "epoch": 0.24544021616752984,
1469
+ "grad_norm": 20.744983673095703,
1470
+ "learning_rate": 3.972383548654735e-05,
1471
+ "loss": 0.0802798330783844,
1472
+ "loss_step_1": 0.0849,
1473
+ "loss_step_2": 0.0847,
1474
+ "loss_step_3": 0.0794,
1475
+ "step": 2180
1476
+ },
1477
+ {
1478
+ "entropy_step_1": 0.2089,
1479
+ "entropy_step_2": 0.2152,
1480
+ "entropy_step_3": 0.2091,
1481
+ "epoch": 0.24769196126998425,
1482
+ "grad_norm": 59.57087707519531,
1483
+ "learning_rate": 3.9605309944292994e-05,
1484
+ "loss": 0.10311335325241089,
1485
+ "loss_step_1": 0.092,
1486
+ "loss_step_2": 0.0929,
1487
+ "loss_step_3": 0.0886,
1488
+ "step": 2200
1489
+ },
1490
+ {
1491
+ "entropy_step_1": 0.2667,
1492
+ "entropy_step_2": 0.267,
1493
+ "entropy_step_3": 0.272,
1494
+ "epoch": 0.24994370637243865,
1495
+ "grad_norm": 11.140969276428223,
1496
+ "learning_rate": 3.948678440203864e-05,
1497
+ "loss": 0.10753285884857178,
1498
+ "loss_step_1": 0.0864,
1499
+ "loss_step_2": 0.0859,
1500
+ "loss_step_3": 0.073,
1501
+ "step": 2220
1502
+ },
1503
+ {
1504
+ "entropy_step_1": 0.2058,
1505
+ "entropy_step_2": 0.2066,
1506
+ "entropy_step_3": 0.2021,
1507
+ "epoch": 0.25219545147489303,
1508
+ "grad_norm": 52.50346374511719,
1509
+ "learning_rate": 3.936825885978428e-05,
1510
+ "loss": 0.09625864624977112,
1511
+ "loss_step_1": 0.0999,
1512
+ "loss_step_2": 0.1002,
1513
+ "loss_step_3": 0.0903,
1514
+ "step": 2240
1515
+ },
1516
+ {
1517
+ "entropy_step_1": 0.1788,
1518
+ "entropy_step_2": 0.1783,
1519
+ "entropy_step_3": 0.2086,
1520
+ "epoch": 0.25444719657734743,
1521
+ "grad_norm": 26.116437911987305,
1522
+ "learning_rate": 3.924973331752993e-05,
1523
+ "loss": 0.09085633754730224,
1524
+ "loss_step_1": 0.1006,
1525
+ "loss_step_2": 0.1,
1526
+ "loss_step_3": 0.1182,
1527
+ "step": 2260
1528
+ },
1529
+ {
1530
+ "entropy_step_1": 0.1745,
1531
+ "entropy_step_2": 0.1763,
1532
+ "entropy_step_3": 0.1643,
1533
+ "epoch": 0.25669894167980184,
1534
+ "grad_norm": 58.48428726196289,
1535
+ "learning_rate": 3.913120777527558e-05,
1536
+ "loss": 0.07470017671585083,
1537
+ "loss_step_1": 0.0729,
1538
+ "loss_step_2": 0.0728,
1539
+ "loss_step_3": 0.0678,
1540
+ "step": 2280
1541
+ },
1542
+ {
1543
+ "entropy_step_1": 0.1703,
1544
+ "entropy_step_2": 0.1687,
1545
+ "entropy_step_3": 0.1681,
1546
+ "epoch": 0.25895068678225625,
1547
+ "grad_norm": 35.77830505371094,
1548
+ "learning_rate": 3.901268223302122e-05,
1549
+ "loss": 0.08094346523284912,
1550
+ "loss_step_1": 0.0715,
1551
+ "loss_step_2": 0.0716,
1552
+ "loss_step_3": 0.0753,
1553
+ "step": 2300
1554
+ },
1555
+ {
1556
+ "entropy_step_1": 0.2099,
1557
+ "entropy_step_2": 0.2092,
1558
+ "entropy_step_3": 0.197,
1559
+ "epoch": 0.26120243188471065,
1560
+ "grad_norm": 9.37353801727295,
1561
+ "learning_rate": 3.8894156690766865e-05,
1562
+ "loss": 0.09115276336669922,
1563
+ "loss_step_1": 0.0992,
1564
+ "loss_step_2": 0.1,
1565
+ "loss_step_3": 0.1128,
1566
+ "step": 2320
1567
+ },
1568
+ {
1569
+ "entropy_step_1": 0.1591,
1570
+ "entropy_step_2": 0.1616,
1571
+ "entropy_step_3": 0.1684,
1572
+ "epoch": 0.26345417698716506,
1573
+ "grad_norm": 7.601145267486572,
1574
+ "learning_rate": 3.877563114851251e-05,
1575
+ "loss": 0.08132302165031433,
1576
+ "loss_step_1": 0.0828,
1577
+ "loss_step_2": 0.0823,
1578
+ "loss_step_3": 0.1034,
1579
+ "step": 2340
1580
+ },
1581
+ {
1582
+ "entropy_step_1": 0.1998,
1583
+ "entropy_step_2": 0.2061,
1584
+ "entropy_step_3": 0.1994,
1585
+ "epoch": 0.26570592208961946,
1586
+ "grad_norm": 20.68280601501465,
1587
+ "learning_rate": 3.865710560625815e-05,
1588
+ "loss": 0.07925176620483398,
1589
+ "loss_step_1": 0.0822,
1590
+ "loss_step_2": 0.0816,
1591
+ "loss_step_3": 0.083,
1592
+ "step": 2360
1593
+ },
1594
+ {
1595
+ "entropy_step_1": 0.1546,
1596
+ "entropy_step_2": 0.1583,
1597
+ "entropy_step_3": 0.1878,
1598
+ "epoch": 0.26795766719207387,
1599
+ "grad_norm": 28.0628604888916,
1600
+ "learning_rate": 3.853858006400379e-05,
1601
+ "loss": 0.07469387054443359,
1602
+ "loss_step_1": 0.0666,
1603
+ "loss_step_2": 0.0659,
1604
+ "loss_step_3": 0.0836,
1605
+ "step": 2380
1606
+ },
1607
+ {
1608
+ "entropy_step_1": 0.1429,
1609
+ "entropy_step_2": 0.1453,
1610
+ "entropy_step_3": 0.1502,
1611
+ "epoch": 0.2702094122945283,
1612
+ "grad_norm": 51.92823791503906,
1613
+ "learning_rate": 3.8420054521749435e-05,
1614
+ "loss": 0.07140672206878662,
1615
+ "loss_step_1": 0.059,
1616
+ "loss_step_2": 0.0585,
1617
+ "loss_step_3": 0.0607,
1618
+ "step": 2400
1619
+ },
1620
+ {
1621
+ "entropy_step_1": 0.1731,
1622
+ "entropy_step_2": 0.1767,
1623
+ "entropy_step_3": 0.1841,
1624
+ "epoch": 0.2724611573969827,
1625
+ "grad_norm": 14.429466247558594,
1626
+ "learning_rate": 3.8301528979495086e-05,
1627
+ "loss": 0.07514737248420715,
1628
+ "loss_step_1": 0.0851,
1629
+ "loss_step_2": 0.0841,
1630
+ "loss_step_3": 0.0902,
1631
+ "step": 2420
1632
+ },
1633
+ {
1634
+ "entropy_step_1": 0.1956,
1635
+ "entropy_step_2": 0.2044,
1636
+ "entropy_step_3": 0.2047,
1637
+ "epoch": 0.2747129024994371,
1638
+ "grad_norm": 8.800642013549805,
1639
+ "learning_rate": 3.818300343724073e-05,
1640
+ "loss": 0.08749198913574219,
1641
+ "loss_step_1": 0.0939,
1642
+ "loss_step_2": 0.0949,
1643
+ "loss_step_3": 0.1007,
1644
+ "step": 2440
1645
+ },
1646
+ {
1647
+ "entropy_step_1": 0.1507,
1648
+ "entropy_step_2": 0.158,
1649
+ "entropy_step_3": 0.1601,
1650
+ "epoch": 0.2769646476018915,
1651
+ "grad_norm": 14.694356918334961,
1652
+ "learning_rate": 3.8064477894986374e-05,
1653
+ "loss": 0.07953562140464783,
1654
+ "loss_step_1": 0.083,
1655
+ "loss_step_2": 0.0822,
1656
+ "loss_step_3": 0.0712,
1657
+ "step": 2460
1658
+ },
1659
+ {
1660
+ "entropy_step_1": 0.1765,
1661
+ "entropy_step_2": 0.1813,
1662
+ "entropy_step_3": 0.1857,
1663
+ "epoch": 0.2792163927043459,
1664
+ "grad_norm": 51.66787338256836,
1665
+ "learning_rate": 3.794595235273202e-05,
1666
+ "loss": 0.0781484842300415,
1667
+ "loss_step_1": 0.0855,
1668
+ "loss_step_2": 0.085,
1669
+ "loss_step_3": 0.0851,
1670
+ "step": 2480
1671
+ },
1672
+ {
1673
+ "entropy_step_1": 0.196,
1674
+ "entropy_step_2": 0.2025,
1675
+ "entropy_step_3": 0.1875,
1676
+ "epoch": 0.28146813780680024,
1677
+ "grad_norm": 15.549168586730957,
1678
+ "learning_rate": 3.782742681047766e-05,
1679
+ "loss": 0.07543327808380126,
1680
+ "loss_step_1": 0.0762,
1681
+ "loss_step_2": 0.0759,
1682
+ "loss_step_3": 0.0713,
1683
+ "step": 2500
1684
+ },
1685
+ {
1686
+ "epoch": 0.28146813780680024,
1687
+ "eval_accuracy": 0.9839285714285714,
1688
+ "eval_f1": 0.9850729568264418,
1689
+ "eval_loss": 0.02278345823287964,
1690
+ "eval_precision": 0.9876088229746766,
1691
+ "eval_recall": 0.9839285714285714,
1692
+ "eval_runtime": 9.5591,
1693
+ "eval_samples_per_second": 10.461,
1694
+ "eval_steps_per_second": 1.36,
1695
+ "step": 2500
1696
+ },
1697
+ {
1698
+ "entropy_step_1": 0.1714,
1699
+ "entropy_step_2": 0.1731,
1700
+ "entropy_step_3": 0.1621,
1701
+ "epoch": 0.28371988290925465,
1702
+ "grad_norm": 17.55965805053711,
1703
+ "learning_rate": 3.77089012682233e-05,
1704
+ "loss": 0.08143405914306641,
1705
+ "loss_step_1": 0.0722,
1706
+ "loss_step_2": 0.0719,
1707
+ "loss_step_3": 0.061,
1708
+ "step": 2520
1709
+ },
1710
+ {
1711
+ "entropy_step_1": 0.1695,
1712
+ "entropy_step_2": 0.1672,
1713
+ "entropy_step_3": 0.1385,
1714
+ "epoch": 0.28597162801170906,
1715
+ "grad_norm": 74.84268951416016,
1716
+ "learning_rate": 3.7590375725968944e-05,
1717
+ "loss": 0.08690762519836426,
1718
+ "loss_step_1": 0.0961,
1719
+ "loss_step_2": 0.0961,
1720
+ "loss_step_3": 0.1111,
1721
+ "step": 2540
1722
+ },
1723
+ {
1724
+ "entropy_step_1": 0.1978,
1725
+ "entropy_step_2": 0.1984,
1726
+ "entropy_step_3": 0.1842,
1727
+ "epoch": 0.28822337311416346,
1728
+ "grad_norm": 23.08629035949707,
1729
+ "learning_rate": 3.747185018371459e-05,
1730
+ "loss": 0.08158662319183349,
1731
+ "loss_step_1": 0.0777,
1732
+ "loss_step_2": 0.0773,
1733
+ "loss_step_3": 0.0706,
1734
+ "step": 2560
1735
+ },
1736
+ {
1737
+ "entropy_step_1": 0.1518,
1738
+ "entropy_step_2": 0.1513,
1739
+ "entropy_step_3": 0.1688,
1740
+ "epoch": 0.29047511821661787,
1741
+ "grad_norm": 16.573776245117188,
1742
+ "learning_rate": 3.735332464146024e-05,
1743
+ "loss": 0.06529904007911683,
1744
+ "loss_step_1": 0.0695,
1745
+ "loss_step_2": 0.0687,
1746
+ "loss_step_3": 0.0718,
1747
+ "step": 2580
1748
+ },
1749
+ {
1750
+ "entropy_step_1": 0.1529,
1751
+ "entropy_step_2": 0.15,
1752
+ "entropy_step_3": 0.1459,
1753
+ "epoch": 0.2927268633190723,
1754
+ "grad_norm": 13.409026145935059,
1755
+ "learning_rate": 3.723479909920588e-05,
1756
+ "loss": 0.07439209222793579,
1757
+ "loss_step_1": 0.0801,
1758
+ "loss_step_2": 0.0807,
1759
+ "loss_step_3": 0.0522,
1760
+ "step": 2600
1761
+ },
1762
+ {
1763
+ "entropy_step_1": 0.1301,
1764
+ "entropy_step_2": 0.1263,
1765
+ "entropy_step_3": 0.1326,
1766
+ "epoch": 0.2949786084215267,
1767
+ "grad_norm": 4.898118019104004,
1768
+ "learning_rate": 3.711627355695153e-05,
1769
+ "loss": 0.060008573532104495,
1770
+ "loss_step_1": 0.0523,
1771
+ "loss_step_2": 0.0549,
1772
+ "loss_step_3": 0.0552,
1773
+ "step": 2620
1774
+ },
1775
+ {
1776
+ "entropy_step_1": 0.1539,
1777
+ "entropy_step_2": 0.148,
1778
+ "entropy_step_3": 0.1407,
1779
+ "epoch": 0.2972303535239811,
1780
+ "grad_norm": 10.824843406677246,
1781
+ "learning_rate": 3.699774801469717e-05,
1782
+ "loss": 0.07593064904212951,
1783
+ "loss_step_1": 0.0693,
1784
+ "loss_step_2": 0.0685,
1785
+ "loss_step_3": 0.0536,
1786
+ "step": 2640
1787
+ },
1788
+ {
1789
+ "entropy_step_1": 0.1405,
1790
+ "entropy_step_2": 0.1371,
1791
+ "entropy_step_3": 0.1304,
1792
+ "epoch": 0.2994820986264355,
1793
+ "grad_norm": 11.237263679504395,
1794
+ "learning_rate": 3.6879222472442816e-05,
1795
+ "loss": 0.06541634798049926,
1796
+ "loss_step_1": 0.0594,
1797
+ "loss_step_2": 0.0598,
1798
+ "loss_step_3": 0.0621,
1799
+ "step": 2660
1800
+ },
1801
+ {
1802
+ "entropy_step_1": 0.1568,
1803
+ "entropy_step_2": 0.1577,
1804
+ "entropy_step_3": 0.1671,
1805
+ "epoch": 0.3017338437288899,
1806
+ "grad_norm": 33.05281066894531,
1807
+ "learning_rate": 3.676069693018846e-05,
1808
+ "loss": 0.06452785730361939,
1809
+ "loss_step_1": 0.0681,
1810
+ "loss_step_2": 0.0681,
1811
+ "loss_step_3": 0.0655,
1812
+ "step": 2680
1813
+ },
1814
+ {
1815
+ "entropy_step_1": 0.1712,
1816
+ "entropy_step_2": 0.1701,
1817
+ "entropy_step_3": 0.1749,
1818
+ "epoch": 0.3039855888313443,
1819
+ "grad_norm": 21.46320915222168,
1820
+ "learning_rate": 3.66421713879341e-05,
1821
+ "loss": 0.09549169540405274,
1822
+ "loss_step_1": 0.1028,
1823
+ "loss_step_2": 0.1009,
1824
+ "loss_step_3": 0.1295,
1825
+ "step": 2700
1826
+ },
1827
+ {
1828
+ "entropy_step_1": 0.1425,
1829
+ "entropy_step_2": 0.1418,
1830
+ "entropy_step_3": 0.1646,
1831
+ "epoch": 0.3062373339337987,
1832
+ "grad_norm": 13.858271598815918,
1833
+ "learning_rate": 3.652364584567974e-05,
1834
+ "loss": 0.08211459517478943,
1835
+ "loss_step_1": 0.0865,
1836
+ "loss_step_2": 0.086,
1837
+ "loss_step_3": 0.0836,
1838
+ "step": 2720
1839
+ },
1840
+ {
1841
+ "entropy_step_1": 0.1651,
1842
+ "entropy_step_2": 0.1606,
1843
+ "entropy_step_3": 0.1582,
1844
+ "epoch": 0.3084890790362531,
1845
+ "grad_norm": 33.63695526123047,
1846
+ "learning_rate": 3.6405120303425385e-05,
1847
+ "loss": 0.07108281254768371,
1848
+ "loss_step_1": 0.066,
1849
+ "loss_step_2": 0.0662,
1850
+ "loss_step_3": 0.0702,
1851
+ "step": 2740
1852
+ },
1853
+ {
1854
+ "entropy_step_1": 0.1535,
1855
+ "entropy_step_2": 0.1546,
1856
+ "entropy_step_3": 0.1573,
1857
+ "epoch": 0.3107408241387075,
1858
+ "grad_norm": 13.39726448059082,
1859
+ "learning_rate": 3.6286594761171036e-05,
1860
+ "loss": 0.06529198288917541,
1861
+ "loss_step_1": 0.0674,
1862
+ "loss_step_2": 0.0666,
1863
+ "loss_step_3": 0.074,
1864
+ "step": 2760
1865
+ },
1866
+ {
1867
+ "entropy_step_1": 0.1432,
1868
+ "entropy_step_2": 0.148,
1869
+ "entropy_step_3": 0.152,
1870
+ "epoch": 0.3129925692411619,
1871
+ "grad_norm": 41.96938705444336,
1872
+ "learning_rate": 3.616806921891668e-05,
1873
+ "loss": 0.07317432165145873,
1874
+ "loss_step_1": 0.0644,
1875
+ "loss_step_2": 0.0649,
1876
+ "loss_step_3": 0.0739,
1877
+ "step": 2780
1878
+ },
1879
+ {
1880
+ "entropy_step_1": 0.1556,
1881
+ "entropy_step_2": 0.1585,
1882
+ "entropy_step_3": 0.1766,
1883
+ "epoch": 0.3152443143436163,
1884
+ "grad_norm": 34.93521499633789,
1885
+ "learning_rate": 3.6049543676662325e-05,
1886
+ "loss": 0.07776182889938354,
1887
+ "loss_step_1": 0.0881,
1888
+ "loss_step_2": 0.0874,
1889
+ "loss_step_3": 0.0946,
1890
+ "step": 2800
1891
+ },
1892
+ {
1893
+ "entropy_step_1": 0.1567,
1894
+ "entropy_step_2": 0.1581,
1895
+ "entropy_step_3": 0.1372,
1896
+ "epoch": 0.3174960594460707,
1897
+ "grad_norm": 17.880144119262695,
1898
+ "learning_rate": 3.593101813440797e-05,
1899
+ "loss": 0.07650998830795289,
1900
+ "loss_step_1": 0.081,
1901
+ "loss_step_2": 0.0803,
1902
+ "loss_step_3": 0.0801,
1903
+ "step": 2820
1904
+ },
1905
+ {
1906
+ "entropy_step_1": 0.1783,
1907
+ "entropy_step_2": 0.1811,
1908
+ "entropy_step_3": 0.1972,
1909
+ "epoch": 0.3197478045485251,
1910
+ "grad_norm": 10.349809646606445,
1911
+ "learning_rate": 3.581249259215361e-05,
1912
+ "loss": 0.08447476029396057,
1913
+ "loss_step_1": 0.0827,
1914
+ "loss_step_2": 0.0823,
1915
+ "loss_step_3": 0.0779,
1916
+ "step": 2840
1917
+ },
1918
+ {
1919
+ "entropy_step_1": 0.1191,
1920
+ "entropy_step_2": 0.1223,
1921
+ "entropy_step_3": 0.1286,
1922
+ "epoch": 0.3219995496509795,
1923
+ "grad_norm": 13.57351303100586,
1924
+ "learning_rate": 3.569396704989926e-05,
1925
+ "loss": 0.06497950553894043,
1926
+ "loss_step_1": 0.0642,
1927
+ "loss_step_2": 0.0631,
1928
+ "loss_step_3": 0.0561,
1929
+ "step": 2860
1930
+ },
1931
+ {
1932
+ "entropy_step_1": 0.1663,
1933
+ "entropy_step_2": 0.168,
1934
+ "entropy_step_3": 0.1607,
1935
+ "epoch": 0.3242512947534339,
1936
+ "grad_norm": 43.37236785888672,
1937
+ "learning_rate": 3.5575441507644894e-05,
1938
+ "loss": 0.07337754368782043,
1939
+ "loss_step_1": 0.0744,
1940
+ "loss_step_2": 0.074,
1941
+ "loss_step_3": 0.0708,
1942
+ "step": 2880
1943
+ },
1944
+ {
1945
+ "entropy_step_1": 0.1494,
1946
+ "entropy_step_2": 0.1494,
1947
+ "entropy_step_3": 0.1409,
1948
+ "epoch": 0.3265030398558883,
1949
+ "grad_norm": 7.599946975708008,
1950
+ "learning_rate": 3.545691596539054e-05,
1951
+ "loss": 0.06760333180427551,
1952
+ "loss_step_1": 0.065,
1953
+ "loss_step_2": 0.0657,
1954
+ "loss_step_3": 0.0641,
1955
+ "step": 2900
1956
+ },
1957
+ {
1958
+ "entropy_step_1": 0.1691,
1959
+ "entropy_step_2": 0.1723,
1960
+ "entropy_step_3": 0.1686,
1961
+ "epoch": 0.3287547849583427,
1962
+ "grad_norm": 41.83497619628906,
1963
+ "learning_rate": 3.533839042313619e-05,
1964
+ "loss": 0.09451901912689209,
1965
+ "loss_step_1": 0.1203,
1966
+ "loss_step_2": 0.1204,
1967
+ "loss_step_3": 0.0777,
1968
+ "step": 2920
1969
+ },
1970
+ {
1971
+ "entropy_step_1": 0.1538,
1972
+ "entropy_step_2": 0.1616,
1973
+ "entropy_step_3": 0.1667,
1974
+ "epoch": 0.3310065300607971,
1975
+ "grad_norm": 14.508233070373535,
1976
+ "learning_rate": 3.5219864880881833e-05,
1977
+ "loss": 0.06872593760490417,
1978
+ "loss_step_1": 0.0694,
1979
+ "loss_step_2": 0.0689,
1980
+ "loss_step_3": 0.0684,
1981
+ "step": 2940
1982
+ },
1983
+ {
1984
+ "entropy_step_1": 0.1628,
1985
+ "entropy_step_2": 0.1705,
1986
+ "entropy_step_3": 0.1672,
1987
+ "epoch": 0.3332582751632515,
1988
+ "grad_norm": 14.131729125976562,
1989
+ "learning_rate": 3.510133933862748e-05,
1990
+ "loss": 0.07098121643066406,
1991
+ "loss_step_1": 0.0711,
1992
+ "loss_step_2": 0.0709,
1993
+ "loss_step_3": 0.0617,
1994
+ "step": 2960
1995
+ },
1996
+ {
1997
+ "entropy_step_1": 0.1623,
1998
+ "entropy_step_2": 0.1672,
1999
+ "entropy_step_3": 0.1701,
2000
+ "epoch": 0.3355100202657059,
2001
+ "grad_norm": 9.615864753723145,
2002
+ "learning_rate": 3.498281379637312e-05,
2003
+ "loss": 0.08790453672409057,
2004
+ "loss_step_1": 0.1031,
2005
+ "loss_step_2": 0.1019,
2006
+ "loss_step_3": 0.0712,
2007
+ "step": 2980
2008
+ },
2009
+ {
2010
+ "entropy_step_1": 0.1713,
2011
+ "entropy_step_2": 0.177,
2012
+ "entropy_step_3": 0.154,
2013
+ "epoch": 0.3377617653681603,
2014
+ "grad_norm": 19.8389892578125,
2015
+ "learning_rate": 3.4864288254118766e-05,
2016
+ "loss": 0.08365345001220703,
2017
+ "loss_step_1": 0.0865,
2018
+ "loss_step_2": 0.0855,
2019
+ "loss_step_3": 0.0739,
2020
+ "step": 3000
2021
+ },
2022
+ {
2023
+ "epoch": 0.3377617653681603,
2024
+ "eval_accuracy": 0.9660714285714286,
2025
+ "eval_f1": 0.9702899255355045,
2026
+ "eval_loss": 0.021565444767475128,
2027
+ "eval_precision": 0.9782635395385892,
2028
+ "eval_recall": 0.9660714285714286,
2029
+ "eval_runtime": 9.7415,
2030
+ "eval_samples_per_second": 10.265,
2031
+ "eval_steps_per_second": 1.334,
2032
+ "step": 3000
2033
+ }
2034
+ ],
2035
+ "logging_steps": 20,
2036
+ "max_steps": 8882,
2037
+ "num_input_tokens_seen": 0,
2038
+ "num_train_epochs": 1,
2039
+ "save_steps": 500,
2040
+ "stateful_callbacks": {
2041
+ "TrainerControl": {
2042
+ "args": {
2043
+ "should_epoch_stop": false,
2044
+ "should_evaluate": false,
2045
+ "should_log": false,
2046
+ "should_save": true,
2047
+ "should_training_stop": false
2048
+ },
2049
+ "attributes": {}
2050
+ }
2051
+ },
2052
+ "total_flos": 1.7267639829990998e+19,
2053
+ "train_batch_size": 8,
2054
+ "trial_name": null,
2055
+ "trial_params": null
2056
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:59b675d9f4f8acfae1450597ae646dd7e80b502f78ff5e1843d992ba3b7da375
3
+ size 5457