pritamqu commited on
Commit
9122f86
·
verified ·
1 Parent(s): aaccee7

Upload 6 files

Browse files
README.md CHANGED
@@ -1,3 +1,9 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+ ### Framework versions
7
+
8
+
9
+ - PEFT 0.5.0
adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "/scratch/ssd004/scratch/pritam/.cache/huggingface/hub/models--Efficient-Large-Model--VILA1.5-13b/snapshots/f84c22b02e61eed80aa63713a61dfd49be4e9359/llm",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 256,
11
+ "lora_dropout": 0.05,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 128,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "down_proj",
19
+ "k_proj",
20
+ "up_proj",
21
+ "v_proj",
22
+ "gate_proj",
23
+ "o_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54743f3d8ac50e49c14f98518b9a5a96ae4e13cfd7c599d143b73d682b14e610
3
+ size 1001586573
config.json ADDED
@@ -0,0 +1,252 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "LlavaLlamaModel"
4
+ ],
5
+ "drop_path_rate": 0.0,
6
+ "hidden_size": 5120,
7
+ "image_aspect_ratio": "resize",
8
+ "interpolate_mode": "linear",
9
+ "llm_cfg": {
10
+ "_name_or_path": "./llm",
11
+ "add_cross_attention": false,
12
+ "architectures": [
13
+ "LlamaForCausalLM"
14
+ ],
15
+ "attention_bias": false,
16
+ "attention_dropout": 0.0,
17
+ "bad_words_ids": null,
18
+ "begin_suppress_tokens": null,
19
+ "bos_token_id": 1,
20
+ "chunk_size_feed_forward": 0,
21
+ "cross_attention_hidden_size": null,
22
+ "decoder_start_token_id": null,
23
+ "diversity_penalty": 0.0,
24
+ "do_sample": false,
25
+ "early_stopping": false,
26
+ "encoder_no_repeat_ngram_size": 0,
27
+ "eos_token_id": 2,
28
+ "exponential_decay_length_penalty": null,
29
+ "finetuning_task": null,
30
+ "forced_bos_token_id": null,
31
+ "forced_eos_token_id": null,
32
+ "hidden_act": "silu",
33
+ "hidden_size": 5120,
34
+ "id2label": {
35
+ "0": "LABEL_0",
36
+ "1": "LABEL_1"
37
+ },
38
+ "initializer_range": 0.02,
39
+ "intermediate_size": 13824,
40
+ "is_decoder": false,
41
+ "is_encoder_decoder": false,
42
+ "label2id": {
43
+ "LABEL_0": 0,
44
+ "LABEL_1": 1
45
+ },
46
+ "length_penalty": 1.0,
47
+ "max_length": 4096,
48
+ "max_position_embeddings": 4096,
49
+ "min_length": 0,
50
+ "model_max_length": 4096,
51
+ "model_type": "llama",
52
+ "no_repeat_ngram_size": 0,
53
+ "num_attention_heads": 40,
54
+ "num_beam_groups": 1,
55
+ "num_beams": 1,
56
+ "num_hidden_layers": 40,
57
+ "num_key_value_heads": 40,
58
+ "num_return_sequences": 1,
59
+ "output_attentions": false,
60
+ "output_hidden_states": false,
61
+ "output_scores": false,
62
+ "pad_token_id": 0,
63
+ "prefix": null,
64
+ "pretraining_tp": 1,
65
+ "problem_type": null,
66
+ "pruned_heads": {},
67
+ "remove_invalid_values": false,
68
+ "repetition_penalty": 1.0,
69
+ "return_dict": true,
70
+ "return_dict_in_generate": false,
71
+ "rms_norm_eps": 1e-05,
72
+ "rope_scaling": null,
73
+ "rope_theta": 10000.0,
74
+ "sep_token_id": null,
75
+ "suppress_tokens": null,
76
+ "task_specific_params": null,
77
+ "temperature": 1.0,
78
+ "tf_legacy_loss": false,
79
+ "tie_encoder_decoder": false,
80
+ "tie_word_embeddings": false,
81
+ "tokenizer_class": null,
82
+ "tokenizer_model_max_length": 4096,
83
+ "tokenizer_padding_side": "right",
84
+ "top_k": 50,
85
+ "top_p": 1.0,
86
+ "torch_dtype": "bfloat16",
87
+ "torchscript": false,
88
+ "typical_p": 1.0,
89
+ "use_bfloat16": false,
90
+ "use_cache": true,
91
+ "vocab_size": 32000
92
+ },
93
+ "mm_hidden_size": 1152,
94
+ "mm_projector_cfg": {
95
+ "_name_or_path": "./mm_projector",
96
+ "add_cross_attention": false,
97
+ "architectures": [
98
+ "MultimodalProjector"
99
+ ],
100
+ "bad_words_ids": null,
101
+ "begin_suppress_tokens": null,
102
+ "bos_token_id": null,
103
+ "chunk_size_feed_forward": 0,
104
+ "cross_attention_hidden_size": null,
105
+ "decoder_start_token_id": null,
106
+ "diversity_penalty": 0.0,
107
+ "do_sample": false,
108
+ "early_stopping": false,
109
+ "encoder_no_repeat_ngram_size": 0,
110
+ "eos_token_id": null,
111
+ "exponential_decay_length_penalty": null,
112
+ "finetuning_task": null,
113
+ "forced_bos_token_id": null,
114
+ "forced_eos_token_id": null,
115
+ "id2label": {
116
+ "0": "LABEL_0",
117
+ "1": "LABEL_1"
118
+ },
119
+ "is_decoder": false,
120
+ "is_encoder_decoder": false,
121
+ "label2id": {
122
+ "LABEL_0": 0,
123
+ "LABEL_1": 1
124
+ },
125
+ "length_penalty": 1.0,
126
+ "max_length": 20,
127
+ "min_length": 0,
128
+ "mm_projector_type": "mlp_downsample",
129
+ "model_type": "v2l_projector",
130
+ "no_repeat_ngram_size": 0,
131
+ "num_beam_groups": 1,
132
+ "num_beams": 1,
133
+ "num_return_sequences": 1,
134
+ "output_attentions": false,
135
+ "output_hidden_states": false,
136
+ "output_scores": false,
137
+ "pad_token_id": null,
138
+ "prefix": null,
139
+ "problem_type": null,
140
+ "pruned_heads": {},
141
+ "remove_invalid_values": false,
142
+ "repetition_penalty": 1.0,
143
+ "return_dict": true,
144
+ "return_dict_in_generate": false,
145
+ "sep_token_id": null,
146
+ "suppress_tokens": null,
147
+ "task_specific_params": null,
148
+ "temperature": 1.0,
149
+ "tf_legacy_loss": false,
150
+ "tie_encoder_decoder": false,
151
+ "tie_word_embeddings": true,
152
+ "tokenizer_class": null,
153
+ "top_k": 50,
154
+ "top_p": 1.0,
155
+ "torch_dtype": "bfloat16",
156
+ "torchscript": false,
157
+ "typical_p": 1.0,
158
+ "use_bfloat16": false
159
+ },
160
+ "mm_projector_lr": 0.0,
161
+ "mm_use_im_patch_token": false,
162
+ "mm_use_im_start_end": false,
163
+ "mm_vision_select_feature": "cls_patch",
164
+ "mm_vision_select_layer": -2,
165
+ "model_dtype": "torch.bfloat16",
166
+ "model_type": "llava_llama",
167
+ "num_video_frames": 8,
168
+ "resume_path": "Efficient-Large-Model/VILA1.5-13b",
169
+ "s2": false,
170
+ "s2_max_split_size": 336,
171
+ "s2_scales": "336,672,1008",
172
+ "transformers_version": "4.36.2",
173
+ "tune_language_model": false,
174
+ "tune_mm_projector": true,
175
+ "tune_vision_tower": false,
176
+ "vision_resolution": -1,
177
+ "vision_tower_cfg": {
178
+ "_name_or_path": "./vision_tower",
179
+ "add_cross_attention": false,
180
+ "architectures": [
181
+ "SiglipVisionModel"
182
+ ],
183
+ "attention_dropout": 0.0,
184
+ "bad_words_ids": null,
185
+ "begin_suppress_tokens": null,
186
+ "bos_token_id": null,
187
+ "chunk_size_feed_forward": 0,
188
+ "cross_attention_hidden_size": null,
189
+ "decoder_start_token_id": null,
190
+ "diversity_penalty": 0.0,
191
+ "do_sample": false,
192
+ "early_stopping": false,
193
+ "encoder_no_repeat_ngram_size": 0,
194
+ "eos_token_id": null,
195
+ "exponential_decay_length_penalty": null,
196
+ "finetuning_task": null,
197
+ "forced_bos_token_id": null,
198
+ "forced_eos_token_id": null,
199
+ "hidden_act": "gelu_pytorch_tanh",
200
+ "hidden_size": 1152,
201
+ "id2label": {
202
+ "0": "LABEL_0",
203
+ "1": "LABEL_1"
204
+ },
205
+ "image_size": 384,
206
+ "intermediate_size": 4304,
207
+ "is_decoder": false,
208
+ "is_encoder_decoder": false,
209
+ "label2id": {
210
+ "LABEL_0": 0,
211
+ "LABEL_1": 1
212
+ },
213
+ "layer_norm_eps": 1e-06,
214
+ "length_penalty": 1.0,
215
+ "max_length": 20,
216
+ "min_length": 0,
217
+ "model_type": "siglip_vision_model",
218
+ "no_repeat_ngram_size": 0,
219
+ "num_attention_heads": 16,
220
+ "num_beam_groups": 1,
221
+ "num_beams": 1,
222
+ "num_channels": 3,
223
+ "num_hidden_layers": 27,
224
+ "num_return_sequences": 1,
225
+ "output_attentions": false,
226
+ "output_hidden_states": false,
227
+ "output_scores": false,
228
+ "pad_token_id": null,
229
+ "patch_size": 14,
230
+ "prefix": null,
231
+ "problem_type": null,
232
+ "pruned_heads": {},
233
+ "remove_invalid_values": false,
234
+ "repetition_penalty": 1.0,
235
+ "return_dict": true,
236
+ "return_dict_in_generate": false,
237
+ "sep_token_id": null,
238
+ "suppress_tokens": null,
239
+ "task_specific_params": null,
240
+ "temperature": 1.0,
241
+ "tf_legacy_loss": false,
242
+ "tie_encoder_decoder": false,
243
+ "tie_word_embeddings": true,
244
+ "tokenizer_class": null,
245
+ "top_k": 50,
246
+ "top_p": 1.0,
247
+ "torch_dtype": "bfloat16",
248
+ "torchscript": false,
249
+ "typical_p": 1.0,
250
+ "use_bfloat16": false
251
+ }
252
+ }
non_lora_trainables.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2b417b4add71d95bbe7e35d604f124cb6fd958710b1fb1b01569ff9758f14f6
3
+ size 99655927
trainer_state.json ADDED
@@ -0,0 +1,2082 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 342,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 2.2727272727272728e-06,
14
+ "loss": 0.5451,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 4.5454545454545455e-06,
20
+ "loss": 0.5632,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 6.818181818181818e-06,
26
+ "loss": 0.5577,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 9.090909090909091e-06,
32
+ "loss": 0.5745,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.01,
37
+ "learning_rate": 1.1363636363636365e-05,
38
+ "loss": 0.586,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "learning_rate": 1.3636363636363637e-05,
44
+ "loss": 0.5623,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.02,
49
+ "learning_rate": 1.590909090909091e-05,
50
+ "loss": 0.562,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.02,
55
+ "learning_rate": 1.8181818181818182e-05,
56
+ "loss": 0.557,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.03,
61
+ "learning_rate": 2.0454545454545457e-05,
62
+ "loss": 0.547,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.03,
67
+ "learning_rate": 2.272727272727273e-05,
68
+ "loss": 0.5623,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.03,
73
+ "learning_rate": 2.5e-05,
74
+ "loss": 0.5386,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.04,
79
+ "learning_rate": 2.4999436984287818e-05,
80
+ "loss": 0.5861,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.04,
85
+ "learning_rate": 2.4997747987869124e-05,
86
+ "loss": 0.559,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.04,
91
+ "learning_rate": 2.499493316289298e-05,
92
+ "loss": 0.5426,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.04,
97
+ "learning_rate": 2.4990992762925882e-05,
98
+ "loss": 0.5535,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.05,
103
+ "learning_rate": 2.498592714292897e-05,
104
+ "loss": 0.5247,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.05,
109
+ "learning_rate": 2.4979736759226035e-05,
110
+ "loss": 0.5005,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.05,
115
+ "learning_rate": 2.4972422169462394e-05,
116
+ "loss": 0.5571,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.06,
121
+ "learning_rate": 2.496398403255468e-05,
122
+ "loss": 0.5414,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.06,
127
+ "learning_rate": 2.4954423108631487e-05,
128
+ "loss": 0.5326,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.06,
133
+ "learning_rate": 2.4943740258964873e-05,
134
+ "loss": 0.5265,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 0.06,
139
+ "learning_rate": 2.4931936445892793e-05,
140
+ "loss": 0.5212,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 0.07,
145
+ "learning_rate": 2.49190127327324e-05,
146
+ "loss": 0.5385,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 0.07,
151
+ "learning_rate": 2.490497028368427e-05,
152
+ "loss": 0.5077,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 0.07,
157
+ "learning_rate": 2.4889810363727512e-05,
158
+ "loss": 0.4924,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 0.08,
163
+ "learning_rate": 2.4873534338505826e-05,
164
+ "loss": 0.4808,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 0.08,
169
+ "learning_rate": 2.4856143674204485e-05,
170
+ "loss": 0.5613,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.08,
175
+ "learning_rate": 2.4837639937418248e-05,
176
+ "loss": 0.5357,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 0.08,
181
+ "learning_rate": 2.4818024795010238e-05,
182
+ "loss": 0.4799,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 0.09,
187
+ "learning_rate": 2.4797300013961797e-05,
188
+ "loss": 0.5087,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 0.09,
193
+ "learning_rate": 2.4775467461213302e-05,
194
+ "loss": 0.4531,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 0.09,
199
+ "learning_rate": 2.4752529103495995e-05,
200
+ "loss": 0.483,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 0.1,
205
+ "learning_rate": 2.47284870071548e-05,
206
+ "loss": 0.5079,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 0.1,
211
+ "learning_rate": 2.4703343337962194e-05,
212
+ "loss": 0.5084,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 0.1,
217
+ "learning_rate": 2.4677100360923115e-05,
218
+ "loss": 0.4608,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 0.11,
223
+ "learning_rate": 2.4649760440070905e-05,
224
+ "loss": 0.4466,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 0.11,
229
+ "learning_rate": 2.4621326038254368e-05,
230
+ "loss": 0.4419,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 0.11,
235
+ "learning_rate": 2.459179971691589e-05,
236
+ "loss": 0.4533,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 0.11,
241
+ "learning_rate": 2.456118413586074e-05,
242
+ "loss": 0.4086,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 0.12,
247
+ "learning_rate": 2.4529482053017422e-05,
248
+ "loss": 0.4582,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 0.12,
253
+ "learning_rate": 2.449669632418925e-05,
254
+ "loss": 0.4315,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 0.12,
259
+ "learning_rate": 2.446282990279711e-05,
260
+ "loss": 0.4644,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 0.13,
265
+ "learning_rate": 2.442788583961336e-05,
266
+ "loss": 0.4648,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 0.13,
271
+ "learning_rate": 2.439186728248708e-05,
272
+ "loss": 0.4385,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 0.13,
277
+ "learning_rate": 2.4354777476060434e-05,
278
+ "loss": 0.4596,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 0.13,
283
+ "learning_rate": 2.431661976147643e-05,
284
+ "loss": 0.4017,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 0.14,
289
+ "learning_rate": 2.4277397576077916e-05,
290
+ "loss": 0.434,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 0.14,
295
+ "learning_rate": 2.4237114453097968e-05,
296
+ "loss": 0.4484,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 0.14,
301
+ "learning_rate": 2.4195774021341566e-05,
302
+ "loss": 0.455,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 0.15,
307
+ "learning_rate": 2.4153380004858734e-05,
308
+ "loss": 0.4195,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 0.15,
313
+ "learning_rate": 2.410993622260905e-05,
314
+ "loss": 0.4196,
315
+ "step": 51
316
+ },
317
+ {
318
+ "epoch": 0.15,
319
+ "learning_rate": 2.4065446588117636e-05,
320
+ "loss": 0.472,
321
+ "step": 52
322
+ },
323
+ {
324
+ "epoch": 0.15,
325
+ "learning_rate": 2.4019915109122615e-05,
326
+ "loss": 0.4439,
327
+ "step": 53
328
+ },
329
+ {
330
+ "epoch": 0.16,
331
+ "learning_rate": 2.3973345887214072e-05,
332
+ "loss": 0.4377,
333
+ "step": 54
334
+ },
335
+ {
336
+ "epoch": 0.16,
337
+ "learning_rate": 2.3925743117464592e-05,
338
+ "loss": 0.3872,
339
+ "step": 55
340
+ },
341
+ {
342
+ "epoch": 0.16,
343
+ "learning_rate": 2.3877111088051347e-05,
344
+ "loss": 0.359,
345
+ "step": 56
346
+ },
347
+ {
348
+ "epoch": 0.17,
349
+ "learning_rate": 2.3827454179869807e-05,
350
+ "loss": 0.4816,
351
+ "step": 57
352
+ },
353
+ {
354
+ "epoch": 0.17,
355
+ "learning_rate": 2.377677686613909e-05,
356
+ "loss": 0.3904,
357
+ "step": 58
358
+ },
359
+ {
360
+ "epoch": 0.17,
361
+ "learning_rate": 2.372508371199902e-05,
362
+ "loss": 0.4122,
363
+ "step": 59
364
+ },
365
+ {
366
+ "epoch": 0.18,
367
+ "learning_rate": 2.3672379374098877e-05,
368
+ "loss": 0.3988,
369
+ "step": 60
370
+ },
371
+ {
372
+ "epoch": 0.18,
373
+ "learning_rate": 2.361866860017791e-05,
374
+ "loss": 0.4375,
375
+ "step": 61
376
+ },
377
+ {
378
+ "epoch": 0.18,
379
+ "learning_rate": 2.356395622863767e-05,
380
+ "loss": 0.4183,
381
+ "step": 62
382
+ },
383
+ {
384
+ "epoch": 0.18,
385
+ "learning_rate": 2.350824718810612e-05,
386
+ "loss": 0.4307,
387
+ "step": 63
388
+ },
389
+ {
390
+ "epoch": 0.19,
391
+ "learning_rate": 2.345154649699368e-05,
392
+ "loss": 0.4254,
393
+ "step": 64
394
+ },
395
+ {
396
+ "epoch": 0.19,
397
+ "learning_rate": 2.3393859263041163e-05,
398
+ "loss": 0.3882,
399
+ "step": 65
400
+ },
401
+ {
402
+ "epoch": 0.19,
403
+ "learning_rate": 2.3335190682859608e-05,
404
+ "loss": 0.3946,
405
+ "step": 66
406
+ },
407
+ {
408
+ "epoch": 0.2,
409
+ "learning_rate": 2.3275546041462216e-05,
410
+ "loss": 0.3978,
411
+ "step": 67
412
+ },
413
+ {
414
+ "epoch": 0.2,
415
+ "learning_rate": 2.3214930711788226e-05,
416
+ "loss": 0.3984,
417
+ "step": 68
418
+ },
419
+ {
420
+ "epoch": 0.2,
421
+ "learning_rate": 2.3153350154218924e-05,
422
+ "loss": 0.422,
423
+ "step": 69
424
+ },
425
+ {
426
+ "epoch": 0.2,
427
+ "learning_rate": 2.3090809916085737e-05,
428
+ "loss": 0.4245,
429
+ "step": 70
430
+ },
431
+ {
432
+ "epoch": 0.21,
433
+ "learning_rate": 2.3027315631170548e-05,
434
+ "loss": 0.3964,
435
+ "step": 71
436
+ },
437
+ {
438
+ "epoch": 0.21,
439
+ "learning_rate": 2.2962873019198157e-05,
440
+ "loss": 0.3608,
441
+ "step": 72
442
+ },
443
+ {
444
+ "epoch": 0.21,
445
+ "learning_rate": 2.2897487885321062e-05,
446
+ "loss": 0.393,
447
+ "step": 73
448
+ },
449
+ {
450
+ "epoch": 0.22,
451
+ "learning_rate": 2.283116611959649e-05,
452
+ "loss": 0.3666,
453
+ "step": 74
454
+ },
455
+ {
456
+ "epoch": 0.22,
457
+ "learning_rate": 2.2763913696455835e-05,
458
+ "loss": 0.3785,
459
+ "step": 75
460
+ },
461
+ {
462
+ "epoch": 0.22,
463
+ "learning_rate": 2.269573667416644e-05,
464
+ "loss": 0.3637,
465
+ "step": 76
466
+ },
467
+ {
468
+ "epoch": 0.23,
469
+ "learning_rate": 2.2626641194285865e-05,
470
+ "loss": 0.3742,
471
+ "step": 77
472
+ },
473
+ {
474
+ "epoch": 0.23,
475
+ "learning_rate": 2.2556633481108636e-05,
476
+ "loss": 0.3584,
477
+ "step": 78
478
+ },
479
+ {
480
+ "epoch": 0.23,
481
+ "learning_rate": 2.2485719841105562e-05,
482
+ "loss": 0.3196,
483
+ "step": 79
484
+ },
485
+ {
486
+ "epoch": 0.23,
487
+ "learning_rate": 2.24139066623556e-05,
488
+ "loss": 0.3642,
489
+ "step": 80
490
+ },
491
+ {
492
+ "epoch": 0.24,
493
+ "learning_rate": 2.234120041397043e-05,
494
+ "loss": 0.328,
495
+ "step": 81
496
+ },
497
+ {
498
+ "epoch": 0.24,
499
+ "learning_rate": 2.2267607645511686e-05,
500
+ "loss": 0.335,
501
+ "step": 82
502
+ },
503
+ {
504
+ "epoch": 0.24,
505
+ "learning_rate": 2.2193134986400956e-05,
506
+ "loss": 0.3313,
507
+ "step": 83
508
+ },
509
+ {
510
+ "epoch": 0.25,
511
+ "learning_rate": 2.2117789145322597e-05,
512
+ "loss": 0.3223,
513
+ "step": 84
514
+ },
515
+ {
516
+ "epoch": 0.25,
517
+ "learning_rate": 2.204157690961939e-05,
518
+ "loss": 0.3653,
519
+ "step": 85
520
+ },
521
+ {
522
+ "epoch": 0.25,
523
+ "learning_rate": 2.1964505144681115e-05,
524
+ "loss": 0.2841,
525
+ "step": 86
526
+ },
527
+ {
528
+ "epoch": 0.25,
529
+ "learning_rate": 2.188658079332612e-05,
530
+ "loss": 0.3254,
531
+ "step": 87
532
+ },
533
+ {
534
+ "epoch": 0.26,
535
+ "learning_rate": 2.1807810875175866e-05,
536
+ "loss": 0.3567,
537
+ "step": 88
538
+ },
539
+ {
540
+ "epoch": 0.26,
541
+ "learning_rate": 2.1728202486022608e-05,
542
+ "loss": 0.3271,
543
+ "step": 89
544
+ },
545
+ {
546
+ "epoch": 0.26,
547
+ "learning_rate": 2.164776279719017e-05,
548
+ "loss": 0.3229,
549
+ "step": 90
550
+ },
551
+ {
552
+ "epoch": 0.27,
553
+ "learning_rate": 2.1566499054887947e-05,
554
+ "loss": 0.3727,
555
+ "step": 91
556
+ },
557
+ {
558
+ "epoch": 0.27,
559
+ "learning_rate": 2.1484418579558137e-05,
560
+ "loss": 0.358,
561
+ "step": 92
562
+ },
563
+ {
564
+ "epoch": 0.27,
565
+ "learning_rate": 2.14015287652163e-05,
566
+ "loss": 0.3337,
567
+ "step": 93
568
+ },
569
+ {
570
+ "epoch": 0.27,
571
+ "learning_rate": 2.131783707878529e-05,
572
+ "loss": 0.324,
573
+ "step": 94
574
+ },
575
+ {
576
+ "epoch": 0.28,
577
+ "learning_rate": 2.1233351059422632e-05,
578
+ "loss": 0.3281,
579
+ "step": 95
580
+ },
581
+ {
582
+ "epoch": 0.28,
583
+ "learning_rate": 2.114807831784133e-05,
584
+ "loss": 0.2809,
585
+ "step": 96
586
+ },
587
+ {
588
+ "epoch": 0.28,
589
+ "learning_rate": 2.1062026535624324e-05,
590
+ "loss": 0.2885,
591
+ "step": 97
592
+ },
593
+ {
594
+ "epoch": 0.29,
595
+ "learning_rate": 2.0975203464532482e-05,
596
+ "loss": 0.3549,
597
+ "step": 98
598
+ },
599
+ {
600
+ "epoch": 0.29,
601
+ "learning_rate": 2.088761692580632e-05,
602
+ "loss": 0.2672,
603
+ "step": 99
604
+ },
605
+ {
606
+ "epoch": 0.29,
607
+ "learning_rate": 2.0799274809461434e-05,
608
+ "loss": 0.3304,
609
+ "step": 100
610
+ },
611
+ {
612
+ "epoch": 0.3,
613
+ "learning_rate": 2.0710185073577747e-05,
614
+ "loss": 0.2967,
615
+ "step": 101
616
+ },
617
+ {
618
+ "epoch": 0.3,
619
+ "learning_rate": 2.0620355743582642e-05,
620
+ "loss": 0.302,
621
+ "step": 102
622
+ },
623
+ {
624
+ "epoch": 0.3,
625
+ "learning_rate": 2.052979491152799e-05,
626
+ "loss": 0.2947,
627
+ "step": 103
628
+ },
629
+ {
630
+ "epoch": 0.3,
631
+ "learning_rate": 2.0438510735361206e-05,
632
+ "loss": 0.3411,
633
+ "step": 104
634
+ },
635
+ {
636
+ "epoch": 0.31,
637
+ "learning_rate": 2.0346511438190356e-05,
638
+ "loss": 0.3386,
639
+ "step": 105
640
+ },
641
+ {
642
+ "epoch": 0.31,
643
+ "learning_rate": 2.0253805307543426e-05,
644
+ "loss": 0.3116,
645
+ "step": 106
646
+ },
647
+ {
648
+ "epoch": 0.31,
649
+ "learning_rate": 2.0160400694621706e-05,
650
+ "loss": 0.2887,
651
+ "step": 107
652
+ },
653
+ {
654
+ "epoch": 0.32,
655
+ "learning_rate": 2.0066306013547558e-05,
656
+ "loss": 0.3142,
657
+ "step": 108
658
+ },
659
+ {
660
+ "epoch": 0.32,
661
+ "learning_rate": 1.9971529740606398e-05,
662
+ "loss": 0.3886,
663
+ "step": 109
664
+ },
665
+ {
666
+ "epoch": 0.32,
667
+ "learning_rate": 1.9876080413483148e-05,
668
+ "loss": 0.2961,
669
+ "step": 110
670
+ },
671
+ {
672
+ "epoch": 0.32,
673
+ "learning_rate": 1.9779966630493156e-05,
674
+ "loss": 0.3061,
675
+ "step": 111
676
+ },
677
+ {
678
+ "epoch": 0.33,
679
+ "learning_rate": 1.968319704980762e-05,
680
+ "loss": 0.3286,
681
+ "step": 112
682
+ },
683
+ {
684
+ "epoch": 0.33,
685
+ "learning_rate": 1.958578038867364e-05,
686
+ "loss": 0.2825,
687
+ "step": 113
688
+ },
689
+ {
690
+ "epoch": 0.33,
691
+ "learning_rate": 1.948772542262895e-05,
692
+ "loss": 0.3029,
693
+ "step": 114
694
+ },
695
+ {
696
+ "epoch": 0.34,
697
+ "learning_rate": 1.9389040984711403e-05,
698
+ "loss": 0.2837,
699
+ "step": 115
700
+ },
701
+ {
702
+ "epoch": 0.34,
703
+ "learning_rate": 1.9289735964663247e-05,
704
+ "loss": 0.298,
705
+ "step": 116
706
+ },
707
+ {
708
+ "epoch": 0.34,
709
+ "learning_rate": 1.9189819308130334e-05,
710
+ "loss": 0.3005,
711
+ "step": 117
712
+ },
713
+ {
714
+ "epoch": 0.35,
715
+ "learning_rate": 1.908930001585628e-05,
716
+ "loss": 0.2827,
717
+ "step": 118
718
+ },
719
+ {
720
+ "epoch": 0.35,
721
+ "learning_rate": 1.898818714287163e-05,
722
+ "loss": 0.286,
723
+ "step": 119
724
+ },
725
+ {
726
+ "epoch": 0.35,
727
+ "learning_rate": 1.888648979767817e-05,
728
+ "loss": 0.331,
729
+ "step": 120
730
+ },
731
+ {
732
+ "epoch": 0.35,
733
+ "learning_rate": 1.878421714142842e-05,
734
+ "loss": 0.2751,
735
+ "step": 121
736
+ },
737
+ {
738
+ "epoch": 0.36,
739
+ "learning_rate": 1.8681378387100362e-05,
740
+ "loss": 0.2963,
741
+ "step": 122
742
+ },
743
+ {
744
+ "epoch": 0.36,
745
+ "learning_rate": 1.857798279866752e-05,
746
+ "loss": 0.2642,
747
+ "step": 123
748
+ },
749
+ {
750
+ "epoch": 0.36,
751
+ "learning_rate": 1.8474039690264435e-05,
752
+ "loss": 0.2529,
753
+ "step": 124
754
+ },
755
+ {
756
+ "epoch": 0.37,
757
+ "learning_rate": 1.8369558425347606e-05,
758
+ "loss": 0.2996,
759
+ "step": 125
760
+ },
761
+ {
762
+ "epoch": 0.37,
763
+ "learning_rate": 1.826454841585205e-05,
764
+ "loss": 0.3078,
765
+ "step": 126
766
+ },
767
+ {
768
+ "epoch": 0.37,
769
+ "learning_rate": 1.815901912134341e-05,
770
+ "loss": 0.2731,
771
+ "step": 127
772
+ },
773
+ {
774
+ "epoch": 0.37,
775
+ "learning_rate": 1.805298004816583e-05,
776
+ "loss": 0.3192,
777
+ "step": 128
778
+ },
779
+ {
780
+ "epoch": 0.38,
781
+ "learning_rate": 1.7946440748585595e-05,
782
+ "loss": 0.3108,
783
+ "step": 129
784
+ },
785
+ {
786
+ "epoch": 0.38,
787
+ "learning_rate": 1.7839410819930652e-05,
788
+ "loss": 0.3382,
789
+ "step": 130
790
+ },
791
+ {
792
+ "epoch": 0.38,
793
+ "learning_rate": 1.7731899903726037e-05,
794
+ "loss": 0.2913,
795
+ "step": 131
796
+ },
797
+ {
798
+ "epoch": 0.39,
799
+ "learning_rate": 1.7623917684825358e-05,
800
+ "loss": 0.2831,
801
+ "step": 132
802
+ },
803
+ {
804
+ "epoch": 0.39,
805
+ "learning_rate": 1.7515473890538363e-05,
806
+ "loss": 0.2698,
807
+ "step": 133
808
+ },
809
+ {
810
+ "epoch": 0.39,
811
+ "learning_rate": 1.7406578289754654e-05,
812
+ "loss": 0.3149,
813
+ "step": 134
814
+ },
815
+ {
816
+ "epoch": 0.39,
817
+ "learning_rate": 1.7297240692063713e-05,
818
+ "loss": 0.2767,
819
+ "step": 135
820
+ },
821
+ {
822
+ "epoch": 0.4,
823
+ "learning_rate": 1.718747094687121e-05,
824
+ "loss": 0.2866,
825
+ "step": 136
826
+ },
827
+ {
828
+ "epoch": 0.4,
829
+ "learning_rate": 1.7077278942511744e-05,
830
+ "loss": 0.3051,
831
+ "step": 137
832
+ },
833
+ {
834
+ "epoch": 0.4,
835
+ "learning_rate": 1.696667460535809e-05,
836
+ "loss": 0.3036,
837
+ "step": 138
838
+ },
839
+ {
840
+ "epoch": 0.41,
841
+ "learning_rate": 1.6855667898926988e-05,
842
+ "loss": 0.2989,
843
+ "step": 139
844
+ },
845
+ {
846
+ "epoch": 0.41,
847
+ "learning_rate": 1.674426882298162e-05,
848
+ "loss": 0.3045,
849
+ "step": 140
850
+ },
851
+ {
852
+ "epoch": 0.41,
853
+ "learning_rate": 1.6632487412630797e-05,
854
+ "loss": 0.3142,
855
+ "step": 141
856
+ },
857
+ {
858
+ "epoch": 0.42,
859
+ "learning_rate": 1.6520333737424985e-05,
860
+ "loss": 0.3167,
861
+ "step": 142
862
+ },
863
+ {
864
+ "epoch": 0.42,
865
+ "learning_rate": 1.6407817900449178e-05,
866
+ "loss": 0.2892,
867
+ "step": 143
868
+ },
869
+ {
870
+ "epoch": 0.42,
871
+ "learning_rate": 1.6294950037412848e-05,
872
+ "loss": 0.2691,
873
+ "step": 144
874
+ },
875
+ {
876
+ "epoch": 0.42,
877
+ "learning_rate": 1.618174031573683e-05,
878
+ "loss": 0.3152,
879
+ "step": 145
880
+ },
881
+ {
882
+ "epoch": 0.43,
883
+ "learning_rate": 1.6068198933637463e-05,
884
+ "loss": 0.3327,
885
+ "step": 146
886
+ },
887
+ {
888
+ "epoch": 0.43,
889
+ "learning_rate": 1.595433611920788e-05,
890
+ "loss": 0.3055,
891
+ "step": 147
892
+ },
893
+ {
894
+ "epoch": 0.43,
895
+ "learning_rate": 1.584016212949665e-05,
896
+ "loss": 0.312,
897
+ "step": 148
898
+ },
899
+ {
900
+ "epoch": 0.44,
901
+ "learning_rate": 1.5725687249583793e-05,
902
+ "loss": 0.2962,
903
+ "step": 149
904
+ },
905
+ {
906
+ "epoch": 0.44,
907
+ "learning_rate": 1.5610921791654283e-05,
908
+ "loss": 0.3211,
909
+ "step": 150
910
+ },
911
+ {
912
+ "epoch": 0.44,
913
+ "learning_rate": 1.549587609406908e-05,
914
+ "loss": 0.2786,
915
+ "step": 151
916
+ },
917
+ {
918
+ "epoch": 0.44,
919
+ "learning_rate": 1.538056052043383e-05,
920
+ "loss": 0.2957,
921
+ "step": 152
922
+ },
923
+ {
924
+ "epoch": 0.45,
925
+ "learning_rate": 1.5264985458665325e-05,
926
+ "loss": 0.3232,
927
+ "step": 153
928
+ },
929
+ {
930
+ "epoch": 0.45,
931
+ "learning_rate": 1.5149161320055665e-05,
932
+ "loss": 0.3149,
933
+ "step": 154
934
+ },
935
+ {
936
+ "epoch": 0.45,
937
+ "learning_rate": 1.5033098538334439e-05,
938
+ "loss": 0.2877,
939
+ "step": 155
940
+ },
941
+ {
942
+ "epoch": 0.46,
943
+ "learning_rate": 1.4916807568728793e-05,
944
+ "loss": 0.3071,
945
+ "step": 156
946
+ },
947
+ {
948
+ "epoch": 0.46,
949
+ "learning_rate": 1.4800298887021628e-05,
950
+ "loss": 0.3121,
951
+ "step": 157
952
+ },
953
+ {
954
+ "epoch": 0.46,
955
+ "learning_rate": 1.468358298860788e-05,
956
+ "loss": 0.2867,
957
+ "step": 158
958
+ },
959
+ {
960
+ "epoch": 0.46,
961
+ "learning_rate": 1.45666703875491e-05,
962
+ "loss": 0.2847,
963
+ "step": 159
964
+ },
965
+ {
966
+ "epoch": 0.47,
967
+ "learning_rate": 1.4449571615626303e-05,
968
+ "loss": 0.2768,
969
+ "step": 160
970
+ },
971
+ {
972
+ "epoch": 0.47,
973
+ "learning_rate": 1.433229722139125e-05,
974
+ "loss": 0.2823,
975
+ "step": 161
976
+ },
977
+ {
978
+ "epoch": 0.47,
979
+ "learning_rate": 1.4214857769216189e-05,
980
+ "loss": 0.2842,
981
+ "step": 162
982
+ },
983
+ {
984
+ "epoch": 0.48,
985
+ "learning_rate": 1.4097263838342206e-05,
986
+ "loss": 0.3397,
987
+ "step": 163
988
+ },
989
+ {
990
+ "epoch": 0.48,
991
+ "learning_rate": 1.3979526021926232e-05,
992
+ "loss": 0.3323,
993
+ "step": 164
994
+ },
995
+ {
996
+ "epoch": 0.48,
997
+ "learning_rate": 1.386165492608674e-05,
998
+ "loss": 0.2577,
999
+ "step": 165
1000
+ },
1001
+ {
1002
+ "epoch": 0.49,
1003
+ "learning_rate": 1.3743661168948377e-05,
1004
+ "loss": 0.2982,
1005
+ "step": 166
1006
+ },
1007
+ {
1008
+ "epoch": 0.49,
1009
+ "learning_rate": 1.3625555379685414e-05,
1010
+ "loss": 0.3114,
1011
+ "step": 167
1012
+ },
1013
+ {
1014
+ "epoch": 0.49,
1015
+ "learning_rate": 1.3507348197564262e-05,
1016
+ "loss": 0.3086,
1017
+ "step": 168
1018
+ },
1019
+ {
1020
+ "epoch": 0.49,
1021
+ "learning_rate": 1.3389050270985046e-05,
1022
+ "loss": 0.3238,
1023
+ "step": 169
1024
+ },
1025
+ {
1026
+ "epoch": 0.5,
1027
+ "learning_rate": 1.3270672256522395e-05,
1028
+ "loss": 0.2996,
1029
+ "step": 170
1030
+ },
1031
+ {
1032
+ "epoch": 0.5,
1033
+ "learning_rate": 1.3152224817965441e-05,
1034
+ "loss": 0.2716,
1035
+ "step": 171
1036
+ },
1037
+ {
1038
+ "epoch": 0.5,
1039
+ "learning_rate": 1.303371862535723e-05,
1040
+ "loss": 0.3196,
1041
+ "step": 172
1042
+ },
1043
+ {
1044
+ "epoch": 0.51,
1045
+ "learning_rate": 1.2915164354033505e-05,
1046
+ "loss": 0.297,
1047
+ "step": 173
1048
+ },
1049
+ {
1050
+ "epoch": 0.51,
1051
+ "learning_rate": 1.279657268366106e-05,
1052
+ "loss": 0.3286,
1053
+ "step": 174
1054
+ },
1055
+ {
1056
+ "epoch": 0.51,
1057
+ "learning_rate": 1.2677954297275707e-05,
1058
+ "loss": 0.3165,
1059
+ "step": 175
1060
+ },
1061
+ {
1062
+ "epoch": 0.51,
1063
+ "learning_rate": 1.2559319880319886e-05,
1064
+ "loss": 0.2817,
1065
+ "step": 176
1066
+ },
1067
+ {
1068
+ "epoch": 0.52,
1069
+ "learning_rate": 1.2440680119680116e-05,
1070
+ "loss": 0.3136,
1071
+ "step": 177
1072
+ },
1073
+ {
1074
+ "epoch": 0.52,
1075
+ "learning_rate": 1.2322045702724296e-05,
1076
+ "loss": 0.297,
1077
+ "step": 178
1078
+ },
1079
+ {
1080
+ "epoch": 0.52,
1081
+ "learning_rate": 1.2203427316338941e-05,
1082
+ "loss": 0.2749,
1083
+ "step": 179
1084
+ },
1085
+ {
1086
+ "epoch": 0.53,
1087
+ "learning_rate": 1.2084835645966501e-05,
1088
+ "loss": 0.3587,
1089
+ "step": 180
1090
+ },
1091
+ {
1092
+ "epoch": 0.53,
1093
+ "learning_rate": 1.1966281374642771e-05,
1094
+ "loss": 0.2918,
1095
+ "step": 181
1096
+ },
1097
+ {
1098
+ "epoch": 0.53,
1099
+ "learning_rate": 1.1847775182034557e-05,
1100
+ "loss": 0.2823,
1101
+ "step": 182
1102
+ },
1103
+ {
1104
+ "epoch": 0.54,
1105
+ "learning_rate": 1.1729327743477606e-05,
1106
+ "loss": 0.3225,
1107
+ "step": 183
1108
+ },
1109
+ {
1110
+ "epoch": 0.54,
1111
+ "learning_rate": 1.1610949729014959e-05,
1112
+ "loss": 0.3224,
1113
+ "step": 184
1114
+ },
1115
+ {
1116
+ "epoch": 0.54,
1117
+ "learning_rate": 1.1492651802435745e-05,
1118
+ "loss": 0.2937,
1119
+ "step": 185
1120
+ },
1121
+ {
1122
+ "epoch": 0.54,
1123
+ "learning_rate": 1.1374444620314583e-05,
1124
+ "loss": 0.2667,
1125
+ "step": 186
1126
+ },
1127
+ {
1128
+ "epoch": 0.55,
1129
+ "learning_rate": 1.1256338831051624e-05,
1130
+ "loss": 0.2946,
1131
+ "step": 187
1132
+ },
1133
+ {
1134
+ "epoch": 0.55,
1135
+ "learning_rate": 1.1138345073913263e-05,
1136
+ "loss": 0.3551,
1137
+ "step": 188
1138
+ },
1139
+ {
1140
+ "epoch": 0.55,
1141
+ "learning_rate": 1.1020473978073776e-05,
1142
+ "loss": 0.2922,
1143
+ "step": 189
1144
+ },
1145
+ {
1146
+ "epoch": 0.56,
1147
+ "learning_rate": 1.0902736161657795e-05,
1148
+ "loss": 0.3132,
1149
+ "step": 190
1150
+ },
1151
+ {
1152
+ "epoch": 0.56,
1153
+ "learning_rate": 1.0785142230783816e-05,
1154
+ "loss": 0.3172,
1155
+ "step": 191
1156
+ },
1157
+ {
1158
+ "epoch": 0.56,
1159
+ "learning_rate": 1.0667702778608753e-05,
1160
+ "loss": 0.3007,
1161
+ "step": 192
1162
+ },
1163
+ {
1164
+ "epoch": 0.56,
1165
+ "learning_rate": 1.05504283843737e-05,
1166
+ "loss": 0.294,
1167
+ "step": 193
1168
+ },
1169
+ {
1170
+ "epoch": 0.57,
1171
+ "learning_rate": 1.0433329612450906e-05,
1172
+ "loss": 0.2616,
1173
+ "step": 194
1174
+ },
1175
+ {
1176
+ "epoch": 0.57,
1177
+ "learning_rate": 1.0316417011392124e-05,
1178
+ "loss": 0.3269,
1179
+ "step": 195
1180
+ },
1181
+ {
1182
+ "epoch": 0.57,
1183
+ "learning_rate": 1.0199701112978377e-05,
1184
+ "loss": 0.7307,
1185
+ "step": 196
1186
+ },
1187
+ {
1188
+ "epoch": 0.58,
1189
+ "learning_rate": 1.008319243127121e-05,
1190
+ "loss": 0.2375,
1191
+ "step": 197
1192
+ },
1193
+ {
1194
+ "epoch": 0.58,
1195
+ "learning_rate": 9.966901461665564e-06,
1196
+ "loss": 0.2837,
1197
+ "step": 198
1198
+ },
1199
+ {
1200
+ "epoch": 0.58,
1201
+ "learning_rate": 9.850838679944334e-06,
1202
+ "loss": 0.321,
1203
+ "step": 199
1204
+ },
1205
+ {
1206
+ "epoch": 0.58,
1207
+ "learning_rate": 9.735014541334675e-06,
1208
+ "loss": 0.2926,
1209
+ "step": 200
1210
+ },
1211
+ {
1212
+ "epoch": 0.59,
1213
+ "learning_rate": 9.61943947956617e-06,
1214
+ "loss": 0.3323,
1215
+ "step": 201
1216
+ },
1217
+ {
1218
+ "epoch": 0.59,
1219
+ "learning_rate": 9.504123905930928e-06,
1220
+ "loss": 0.3139,
1221
+ "step": 202
1222
+ },
1223
+ {
1224
+ "epoch": 0.59,
1225
+ "learning_rate": 9.389078208345717e-06,
1226
+ "loss": 0.3236,
1227
+ "step": 203
1228
+ },
1229
+ {
1230
+ "epoch": 0.6,
1231
+ "learning_rate": 9.274312750416205e-06,
1232
+ "loss": 0.3227,
1233
+ "step": 204
1234
+ },
1235
+ {
1236
+ "epoch": 0.6,
1237
+ "learning_rate": 9.159837870503352e-06,
1238
+ "loss": 0.3299,
1239
+ "step": 205
1240
+ },
1241
+ {
1242
+ "epoch": 0.6,
1243
+ "learning_rate": 9.045663880792122e-06,
1244
+ "loss": 0.2833,
1245
+ "step": 206
1246
+ },
1247
+ {
1248
+ "epoch": 0.61,
1249
+ "learning_rate": 8.931801066362542e-06,
1250
+ "loss": 0.2974,
1251
+ "step": 207
1252
+ },
1253
+ {
1254
+ "epoch": 0.61,
1255
+ "learning_rate": 8.818259684263169e-06,
1256
+ "loss": 0.3427,
1257
+ "step": 208
1258
+ },
1259
+ {
1260
+ "epoch": 0.61,
1261
+ "learning_rate": 8.705049962587153e-06,
1262
+ "loss": 0.3143,
1263
+ "step": 209
1264
+ },
1265
+ {
1266
+ "epoch": 0.61,
1267
+ "learning_rate": 8.592182099550825e-06,
1268
+ "loss": 0.3059,
1269
+ "step": 210
1270
+ },
1271
+ {
1272
+ "epoch": 0.62,
1273
+ "learning_rate": 8.479666262575023e-06,
1274
+ "loss": 0.3083,
1275
+ "step": 211
1276
+ },
1277
+ {
1278
+ "epoch": 0.62,
1279
+ "learning_rate": 8.367512587369202e-06,
1280
+ "loss": 0.3015,
1281
+ "step": 212
1282
+ },
1283
+ {
1284
+ "epoch": 0.62,
1285
+ "learning_rate": 8.255731177018381e-06,
1286
+ "loss": 0.2943,
1287
+ "step": 213
1288
+ },
1289
+ {
1290
+ "epoch": 0.63,
1291
+ "learning_rate": 8.144332101073015e-06,
1292
+ "loss": 0.2968,
1293
+ "step": 214
1294
+ },
1295
+ {
1296
+ "epoch": 0.63,
1297
+ "learning_rate": 8.033325394641911e-06,
1298
+ "loss": 0.3288,
1299
+ "step": 215
1300
+ },
1301
+ {
1302
+ "epoch": 0.63,
1303
+ "learning_rate": 7.92272105748826e-06,
1304
+ "loss": 0.3217,
1305
+ "step": 216
1306
+ },
1307
+ {
1308
+ "epoch": 0.63,
1309
+ "learning_rate": 7.81252905312879e-06,
1310
+ "loss": 0.2866,
1311
+ "step": 217
1312
+ },
1313
+ {
1314
+ "epoch": 0.64,
1315
+ "learning_rate": 7.702759307936288e-06,
1316
+ "loss": 0.2821,
1317
+ "step": 218
1318
+ },
1319
+ {
1320
+ "epoch": 0.64,
1321
+ "learning_rate": 7.593421710245349e-06,
1322
+ "loss": 0.3085,
1323
+ "step": 219
1324
+ },
1325
+ {
1326
+ "epoch": 0.64,
1327
+ "learning_rate": 7.484526109461643e-06,
1328
+ "loss": 0.2719,
1329
+ "step": 220
1330
+ },
1331
+ {
1332
+ "epoch": 0.65,
1333
+ "learning_rate": 7.376082315174643e-06,
1334
+ "loss": 0.2787,
1335
+ "step": 221
1336
+ },
1337
+ {
1338
+ "epoch": 0.65,
1339
+ "learning_rate": 7.268100096273966e-06,
1340
+ "loss": 0.2863,
1341
+ "step": 222
1342
+ },
1343
+ {
1344
+ "epoch": 0.65,
1345
+ "learning_rate": 7.160589180069352e-06,
1346
+ "loss": 0.3034,
1347
+ "step": 223
1348
+ },
1349
+ {
1350
+ "epoch": 0.65,
1351
+ "learning_rate": 7.053559251414407e-06,
1352
+ "loss": 0.3081,
1353
+ "step": 224
1354
+ },
1355
+ {
1356
+ "epoch": 0.66,
1357
+ "learning_rate": 6.947019951834173e-06,
1358
+ "loss": 0.282,
1359
+ "step": 225
1360
+ },
1361
+ {
1362
+ "epoch": 0.66,
1363
+ "learning_rate": 6.840980878656592e-06,
1364
+ "loss": 0.6257,
1365
+ "step": 226
1366
+ },
1367
+ {
1368
+ "epoch": 0.66,
1369
+ "learning_rate": 6.735451584147952e-06,
1370
+ "loss": 0.2789,
1371
+ "step": 227
1372
+ },
1373
+ {
1374
+ "epoch": 0.67,
1375
+ "learning_rate": 6.630441574652396e-06,
1376
+ "loss": 0.2921,
1377
+ "step": 228
1378
+ },
1379
+ {
1380
+ "epoch": 0.67,
1381
+ "learning_rate": 6.5259603097355725e-06,
1382
+ "loss": 0.3476,
1383
+ "step": 229
1384
+ },
1385
+ {
1386
+ "epoch": 0.67,
1387
+ "learning_rate": 6.422017201332478e-06,
1388
+ "loss": 0.337,
1389
+ "step": 230
1390
+ },
1391
+ {
1392
+ "epoch": 0.68,
1393
+ "learning_rate": 6.318621612899641e-06,
1394
+ "loss": 0.3057,
1395
+ "step": 231
1396
+ },
1397
+ {
1398
+ "epoch": 0.68,
1399
+ "learning_rate": 6.215782858571586e-06,
1400
+ "loss": 0.2956,
1401
+ "step": 232
1402
+ },
1403
+ {
1404
+ "epoch": 0.68,
1405
+ "learning_rate": 6.113510202321836e-06,
1406
+ "loss": 0.3095,
1407
+ "step": 233
1408
+ },
1409
+ {
1410
+ "epoch": 0.68,
1411
+ "learning_rate": 6.011812857128371e-06,
1412
+ "loss": 0.3404,
1413
+ "step": 234
1414
+ },
1415
+ {
1416
+ "epoch": 0.69,
1417
+ "learning_rate": 5.910699984143718e-06,
1418
+ "loss": 0.32,
1419
+ "step": 235
1420
+ },
1421
+ {
1422
+ "epoch": 0.69,
1423
+ "learning_rate": 5.810180691869664e-06,
1424
+ "loss": 0.2899,
1425
+ "step": 236
1426
+ },
1427
+ {
1428
+ "epoch": 0.69,
1429
+ "learning_rate": 5.710264035336759e-06,
1430
+ "loss": 0.2973,
1431
+ "step": 237
1432
+ },
1433
+ {
1434
+ "epoch": 0.7,
1435
+ "learning_rate": 5.610959015288604e-06,
1436
+ "loss": 0.3392,
1437
+ "step": 238
1438
+ },
1439
+ {
1440
+ "epoch": 0.7,
1441
+ "learning_rate": 5.512274577371049e-06,
1442
+ "loss": 0.3206,
1443
+ "step": 239
1444
+ },
1445
+ {
1446
+ "epoch": 0.7,
1447
+ "learning_rate": 5.414219611326362e-06,
1448
+ "loss": 0.2591,
1449
+ "step": 240
1450
+ },
1451
+ {
1452
+ "epoch": 0.7,
1453
+ "learning_rate": 5.316802950192382e-06,
1454
+ "loss": 0.331,
1455
+ "step": 241
1456
+ },
1457
+ {
1458
+ "epoch": 0.71,
1459
+ "learning_rate": 5.220033369506845e-06,
1460
+ "loss": 0.3198,
1461
+ "step": 242
1462
+ },
1463
+ {
1464
+ "epoch": 0.71,
1465
+ "learning_rate": 5.1239195865168534e-06,
1466
+ "loss": 0.3303,
1467
+ "step": 243
1468
+ },
1469
+ {
1470
+ "epoch": 0.71,
1471
+ "learning_rate": 5.028470259393605e-06,
1472
+ "loss": 0.3195,
1473
+ "step": 244
1474
+ },
1475
+ {
1476
+ "epoch": 0.72,
1477
+ "learning_rate": 4.9336939864524425e-06,
1478
+ "loss": 0.3184,
1479
+ "step": 245
1480
+ },
1481
+ {
1482
+ "epoch": 0.72,
1483
+ "learning_rate": 4.839599305378294e-06,
1484
+ "loss": 0.3269,
1485
+ "step": 246
1486
+ },
1487
+ {
1488
+ "epoch": 0.72,
1489
+ "learning_rate": 4.746194692456579e-06,
1490
+ "loss": 0.2523,
1491
+ "step": 247
1492
+ },
1493
+ {
1494
+ "epoch": 0.73,
1495
+ "learning_rate": 4.6534885618096465e-06,
1496
+ "loss": 0.3548,
1497
+ "step": 248
1498
+ },
1499
+ {
1500
+ "epoch": 0.73,
1501
+ "learning_rate": 4.5614892646388e-06,
1502
+ "loss": 0.2976,
1503
+ "step": 249
1504
+ },
1505
+ {
1506
+ "epoch": 0.73,
1507
+ "learning_rate": 4.470205088472014e-06,
1508
+ "loss": 0.3057,
1509
+ "step": 250
1510
+ },
1511
+ {
1512
+ "epoch": 0.73,
1513
+ "learning_rate": 4.37964425641736e-06,
1514
+ "loss": 0.3329,
1515
+ "step": 251
1516
+ },
1517
+ {
1518
+ "epoch": 0.74,
1519
+ "learning_rate": 4.28981492642225e-06,
1520
+ "loss": 0.3168,
1521
+ "step": 252
1522
+ },
1523
+ {
1524
+ "epoch": 0.74,
1525
+ "learning_rate": 4.200725190538567e-06,
1526
+ "loss": 0.3062,
1527
+ "step": 253
1528
+ },
1529
+ {
1530
+ "epoch": 0.74,
1531
+ "learning_rate": 4.112383074193685e-06,
1532
+ "loss": 0.2965,
1533
+ "step": 254
1534
+ },
1535
+ {
1536
+ "epoch": 0.75,
1537
+ "learning_rate": 4.024796535467522e-06,
1538
+ "loss": 0.2602,
1539
+ "step": 255
1540
+ },
1541
+ {
1542
+ "epoch": 0.75,
1543
+ "learning_rate": 3.9379734643756774e-06,
1544
+ "loss": 0.2906,
1545
+ "step": 256
1546
+ },
1547
+ {
1548
+ "epoch": 0.75,
1549
+ "learning_rate": 3.85192168215867e-06,
1550
+ "loss": 0.3076,
1551
+ "step": 257
1552
+ },
1553
+ {
1554
+ "epoch": 0.75,
1555
+ "learning_rate": 3.766648940577369e-06,
1556
+ "loss": 0.2998,
1557
+ "step": 258
1558
+ },
1559
+ {
1560
+ "epoch": 0.76,
1561
+ "learning_rate": 3.6821629212147086e-06,
1562
+ "loss": 0.3433,
1563
+ "step": 259
1564
+ },
1565
+ {
1566
+ "epoch": 0.76,
1567
+ "learning_rate": 3.5984712347837083e-06,
1568
+ "loss": 0.231,
1569
+ "step": 260
1570
+ },
1571
+ {
1572
+ "epoch": 0.76,
1573
+ "learning_rate": 3.5155814204418672e-06,
1574
+ "loss": 0.3227,
1575
+ "step": 261
1576
+ },
1577
+ {
1578
+ "epoch": 0.77,
1579
+ "learning_rate": 3.4335009451120546e-06,
1580
+ "loss": 0.2795,
1581
+ "step": 262
1582
+ },
1583
+ {
1584
+ "epoch": 0.77,
1585
+ "learning_rate": 3.35223720280983e-06,
1586
+ "loss": 0.286,
1587
+ "step": 263
1588
+ },
1589
+ {
1590
+ "epoch": 0.77,
1591
+ "learning_rate": 3.2717975139773925e-06,
1592
+ "loss": 0.2709,
1593
+ "step": 264
1594
+ },
1595
+ {
1596
+ "epoch": 0.77,
1597
+ "learning_rate": 3.192189124824135e-06,
1598
+ "loss": 0.3221,
1599
+ "step": 265
1600
+ },
1601
+ {
1602
+ "epoch": 0.78,
1603
+ "learning_rate": 3.113419206673883e-06,
1604
+ "loss": 0.3,
1605
+ "step": 266
1606
+ },
1607
+ {
1608
+ "epoch": 0.78,
1609
+ "learning_rate": 3.0354948553188864e-06,
1610
+ "loss": 0.3044,
1611
+ "step": 267
1612
+ },
1613
+ {
1614
+ "epoch": 0.78,
1615
+ "learning_rate": 2.9584230903806147e-06,
1616
+ "loss": 0.2697,
1617
+ "step": 268
1618
+ },
1619
+ {
1620
+ "epoch": 0.79,
1621
+ "learning_rate": 2.8822108546774056e-06,
1622
+ "loss": 0.2582,
1623
+ "step": 269
1624
+ },
1625
+ {
1626
+ "epoch": 0.79,
1627
+ "learning_rate": 2.8068650135990444e-06,
1628
+ "loss": 0.3168,
1629
+ "step": 270
1630
+ },
1631
+ {
1632
+ "epoch": 0.79,
1633
+ "learning_rate": 2.7323923544883195e-06,
1634
+ "loss": 0.2937,
1635
+ "step": 271
1636
+ },
1637
+ {
1638
+ "epoch": 0.8,
1639
+ "learning_rate": 2.658799586029574e-06,
1640
+ "loss": 0.3022,
1641
+ "step": 272
1642
+ },
1643
+ {
1644
+ "epoch": 0.8,
1645
+ "learning_rate": 2.586093337644405e-06,
1646
+ "loss": 0.2859,
1647
+ "step": 273
1648
+ },
1649
+ {
1650
+ "epoch": 0.8,
1651
+ "learning_rate": 2.51428015889444e-06,
1652
+ "loss": 0.2664,
1653
+ "step": 274
1654
+ },
1655
+ {
1656
+ "epoch": 0.8,
1657
+ "learning_rate": 2.443366518891364e-06,
1658
+ "loss": 0.3157,
1659
+ "step": 275
1660
+ },
1661
+ {
1662
+ "epoch": 0.81,
1663
+ "learning_rate": 2.373358805714139e-06,
1664
+ "loss": 0.282,
1665
+ "step": 276
1666
+ },
1667
+ {
1668
+ "epoch": 0.81,
1669
+ "learning_rate": 2.304263325833565e-06,
1670
+ "loss": 0.3231,
1671
+ "step": 277
1672
+ },
1673
+ {
1674
+ "epoch": 0.81,
1675
+ "learning_rate": 2.2360863035441687e-06,
1676
+ "loss": 0.332,
1677
+ "step": 278
1678
+ },
1679
+ {
1680
+ "epoch": 0.82,
1681
+ "learning_rate": 2.168833880403509e-06,
1682
+ "loss": 0.2946,
1683
+ "step": 279
1684
+ },
1685
+ {
1686
+ "epoch": 0.82,
1687
+ "learning_rate": 2.102512114678941e-06,
1688
+ "loss": 0.2883,
1689
+ "step": 280
1690
+ },
1691
+ {
1692
+ "epoch": 0.82,
1693
+ "learning_rate": 2.037126980801844e-06,
1694
+ "loss": 0.3,
1695
+ "step": 281
1696
+ },
1697
+ {
1698
+ "epoch": 0.82,
1699
+ "learning_rate": 1.9726843688294543e-06,
1700
+ "loss": 0.3085,
1701
+ "step": 282
1702
+ },
1703
+ {
1704
+ "epoch": 0.83,
1705
+ "learning_rate": 1.909190083914264e-06,
1706
+ "loss": 0.2834,
1707
+ "step": 283
1708
+ },
1709
+ {
1710
+ "epoch": 0.83,
1711
+ "learning_rate": 1.84664984578108e-06,
1712
+ "loss": 0.293,
1713
+ "step": 284
1714
+ },
1715
+ {
1716
+ "epoch": 0.83,
1717
+ "learning_rate": 1.7850692882117756e-06,
1718
+ "loss": 0.3056,
1719
+ "step": 285
1720
+ },
1721
+ {
1722
+ "epoch": 0.84,
1723
+ "learning_rate": 1.7244539585377876e-06,
1724
+ "loss": 0.2764,
1725
+ "step": 286
1726
+ },
1727
+ {
1728
+ "epoch": 0.84,
1729
+ "learning_rate": 1.6648093171403923e-06,
1730
+ "loss": 0.282,
1731
+ "step": 287
1732
+ },
1733
+ {
1734
+ "epoch": 0.84,
1735
+ "learning_rate": 1.6061407369588416e-06,
1736
+ "loss": 0.265,
1737
+ "step": 288
1738
+ },
1739
+ {
1740
+ "epoch": 0.85,
1741
+ "learning_rate": 1.5484535030063196e-06,
1742
+ "loss": 0.2962,
1743
+ "step": 289
1744
+ },
1745
+ {
1746
+ "epoch": 0.85,
1747
+ "learning_rate": 1.491752811893883e-06,
1748
+ "loss": 0.3393,
1749
+ "step": 290
1750
+ },
1751
+ {
1752
+ "epoch": 0.85,
1753
+ "learning_rate": 1.4360437713623346e-06,
1754
+ "loss": 0.3058,
1755
+ "step": 291
1756
+ },
1757
+ {
1758
+ "epoch": 0.85,
1759
+ "learning_rate": 1.381331399822089e-06,
1760
+ "loss": 0.2931,
1761
+ "step": 292
1762
+ },
1763
+ {
1764
+ "epoch": 0.86,
1765
+ "learning_rate": 1.3276206259011242e-06,
1766
+ "loss": 0.2935,
1767
+ "step": 293
1768
+ },
1769
+ {
1770
+ "epoch": 0.86,
1771
+ "learning_rate": 1.2749162880009824e-06,
1772
+ "loss": 0.3093,
1773
+ "step": 294
1774
+ },
1775
+ {
1776
+ "epoch": 0.86,
1777
+ "learning_rate": 1.2232231338609136e-06,
1778
+ "loss": 0.2724,
1779
+ "step": 295
1780
+ },
1781
+ {
1782
+ "epoch": 0.87,
1783
+ "learning_rate": 1.1725458201301942e-06,
1784
+ "loss": 0.315,
1785
+ "step": 296
1786
+ },
1787
+ {
1788
+ "epoch": 0.87,
1789
+ "learning_rate": 1.1228889119486523e-06,
1790
+ "loss": 0.2825,
1791
+ "step": 297
1792
+ },
1793
+ {
1794
+ "epoch": 0.87,
1795
+ "learning_rate": 1.0742568825354086e-06,
1796
+ "loss": 0.2676,
1797
+ "step": 298
1798
+ },
1799
+ {
1800
+ "epoch": 0.87,
1801
+ "learning_rate": 1.0266541127859297e-06,
1802
+ "loss": 0.2906,
1803
+ "step": 299
1804
+ },
1805
+ {
1806
+ "epoch": 0.88,
1807
+ "learning_rate": 9.800848908773904e-07,
1808
+ "loss": 0.2831,
1809
+ "step": 300
1810
+ },
1811
+ {
1812
+ "epoch": 0.88,
1813
+ "learning_rate": 9.345534118823648e-07,
1814
+ "loss": 0.2975,
1815
+ "step": 301
1816
+ },
1817
+ {
1818
+ "epoch": 0.88,
1819
+ "learning_rate": 8.900637773909524e-07,
1820
+ "loss": 0.3397,
1821
+ "step": 302
1822
+ },
1823
+ {
1824
+ "epoch": 0.89,
1825
+ "learning_rate": 8.466199951412693e-07,
1826
+ "loss": 0.3039,
1827
+ "step": 303
1828
+ },
1829
+ {
1830
+ "epoch": 0.89,
1831
+ "learning_rate": 8.042259786584364e-07,
1832
+ "loss": 0.3252,
1833
+ "step": 304
1834
+ },
1835
+ {
1836
+ "epoch": 0.89,
1837
+ "learning_rate": 7.628855469020341e-07,
1838
+ "loss": 0.3376,
1839
+ "step": 305
1840
+ },
1841
+ {
1842
+ "epoch": 0.89,
1843
+ "learning_rate": 7.226024239220849e-07,
1844
+ "loss": 0.2836,
1845
+ "step": 306
1846
+ },
1847
+ {
1848
+ "epoch": 0.9,
1849
+ "learning_rate": 6.83380238523576e-07,
1850
+ "loss": 0.3159,
1851
+ "step": 307
1852
+ },
1853
+ {
1854
+ "epoch": 0.9,
1855
+ "learning_rate": 6.45222523939569e-07,
1856
+ "loss": 0.3152,
1857
+ "step": 308
1858
+ },
1859
+ {
1860
+ "epoch": 0.9,
1861
+ "learning_rate": 6.081327175129201e-07,
1862
+ "loss": 0.3028,
1863
+ "step": 309
1864
+ },
1865
+ {
1866
+ "epoch": 0.91,
1867
+ "learning_rate": 5.721141603866373e-07,
1868
+ "loss": 0.2748,
1869
+ "step": 310
1870
+ },
1871
+ {
1872
+ "epoch": 0.91,
1873
+ "learning_rate": 5.371700972028951e-07,
1874
+ "loss": 0.2532,
1875
+ "step": 311
1876
+ },
1877
+ {
1878
+ "epoch": 0.91,
1879
+ "learning_rate": 5.033036758107485e-07,
1880
+ "loss": 0.3655,
1881
+ "step": 312
1882
+ },
1883
+ {
1884
+ "epoch": 0.92,
1885
+ "learning_rate": 4.7051794698257936e-07,
1886
+ "loss": 0.2931,
1887
+ "step": 313
1888
+ },
1889
+ {
1890
+ "epoch": 0.92,
1891
+ "learning_rate": 4.3881586413925813e-07,
1892
+ "loss": 0.2985,
1893
+ "step": 314
1894
+ },
1895
+ {
1896
+ "epoch": 0.92,
1897
+ "learning_rate": 4.082002830841078e-07,
1898
+ "loss": 0.2788,
1899
+ "step": 315
1900
+ },
1901
+ {
1902
+ "epoch": 0.92,
1903
+ "learning_rate": 3.786739617456361e-07,
1904
+ "loss": 0.3012,
1905
+ "step": 316
1906
+ },
1907
+ {
1908
+ "epoch": 0.93,
1909
+ "learning_rate": 3.5023955992909697e-07,
1910
+ "loss": 0.3143,
1911
+ "step": 317
1912
+ },
1913
+ {
1914
+ "epoch": 0.93,
1915
+ "learning_rate": 3.2289963907688457e-07,
1916
+ "loss": 0.3108,
1917
+ "step": 318
1918
+ },
1919
+ {
1920
+ "epoch": 0.93,
1921
+ "learning_rate": 2.9665666203780586e-07,
1922
+ "loss": 0.2578,
1923
+ "step": 319
1924
+ },
1925
+ {
1926
+ "epoch": 0.94,
1927
+ "learning_rate": 2.7151299284520206e-07,
1928
+ "loss": 0.3101,
1929
+ "step": 320
1930
+ },
1931
+ {
1932
+ "epoch": 0.94,
1933
+ "learning_rate": 2.474708965040068e-07,
1934
+ "loss": 0.3094,
1935
+ "step": 321
1936
+ },
1937
+ {
1938
+ "epoch": 0.94,
1939
+ "learning_rate": 2.245325387866981e-07,
1940
+ "loss": 0.2608,
1941
+ "step": 322
1942
+ },
1943
+ {
1944
+ "epoch": 0.94,
1945
+ "learning_rate": 2.026999860382045e-07,
1946
+ "loss": 0.3118,
1947
+ "step": 323
1948
+ },
1949
+ {
1950
+ "epoch": 0.95,
1951
+ "learning_rate": 1.8197520498976357e-07,
1952
+ "loss": 0.3102,
1953
+ "step": 324
1954
+ },
1955
+ {
1956
+ "epoch": 0.95,
1957
+ "learning_rate": 1.6236006258175395e-07,
1958
+ "loss": 0.2752,
1959
+ "step": 325
1960
+ },
1961
+ {
1962
+ "epoch": 0.95,
1963
+ "learning_rate": 1.438563257955147e-07,
1964
+ "loss": 0.3025,
1965
+ "step": 326
1966
+ },
1967
+ {
1968
+ "epoch": 0.96,
1969
+ "learning_rate": 1.2646566149417255e-07,
1970
+ "loss": 0.2947,
1971
+ "step": 327
1972
+ },
1973
+ {
1974
+ "epoch": 0.96,
1975
+ "learning_rate": 1.1018963627248968e-07,
1976
+ "loss": 0.2851,
1977
+ "step": 328
1978
+ },
1979
+ {
1980
+ "epoch": 0.96,
1981
+ "learning_rate": 9.502971631573099e-08,
1982
+ "loss": 0.3199,
1983
+ "step": 329
1984
+ },
1985
+ {
1986
+ "epoch": 0.96,
1987
+ "learning_rate": 8.098726726760014e-08,
1988
+ "loss": 0.2608,
1989
+ "step": 330
1990
+ },
1991
+ {
1992
+ "epoch": 0.97,
1993
+ "learning_rate": 6.806355410720888e-08,
1994
+ "loss": 0.3411,
1995
+ "step": 331
1996
+ },
1997
+ {
1998
+ "epoch": 0.97,
1999
+ "learning_rate": 5.6259741035127875e-08,
2000
+ "loss": 0.3067,
2001
+ "step": 332
2002
+ },
2003
+ {
2004
+ "epoch": 0.97,
2005
+ "learning_rate": 4.5576891368513675e-08,
2006
+ "loss": 0.2826,
2007
+ "step": 333
2008
+ },
2009
+ {
2010
+ "epoch": 0.98,
2011
+ "learning_rate": 3.6015967445320044e-08,
2012
+ "loss": 0.3149,
2013
+ "step": 334
2014
+ },
2015
+ {
2016
+ "epoch": 0.98,
2017
+ "learning_rate": 2.7577830537608985e-08,
2018
+ "loss": 0.3052,
2019
+ "step": 335
2020
+ },
2021
+ {
2022
+ "epoch": 0.98,
2023
+ "learning_rate": 2.0263240773966963e-08,
2024
+ "loss": 0.3009,
2025
+ "step": 336
2026
+ },
2027
+ {
2028
+ "epoch": 0.99,
2029
+ "learning_rate": 1.4072857071027735e-08,
2030
+ "loss": 0.287,
2031
+ "step": 337
2032
+ },
2033
+ {
2034
+ "epoch": 0.99,
2035
+ "learning_rate": 9.007237074118435e-09,
2036
+ "loss": 0.2913,
2037
+ "step": 338
2038
+ },
2039
+ {
2040
+ "epoch": 0.99,
2041
+ "learning_rate": 5.0668371070219935e-09,
2042
+ "loss": 0.287,
2043
+ "step": 339
2044
+ },
2045
+ {
2046
+ "epoch": 0.99,
2047
+ "learning_rate": 2.2520121308752805e-09,
2048
+ "loss": 0.2674,
2049
+ "step": 340
2050
+ },
2051
+ {
2052
+ "epoch": 1.0,
2053
+ "learning_rate": 5.630157121863655e-10,
2054
+ "loss": 0.3126,
2055
+ "step": 341
2056
+ },
2057
+ {
2058
+ "epoch": 1.0,
2059
+ "learning_rate": 0.0,
2060
+ "loss": 0.268,
2061
+ "step": 342
2062
+ },
2063
+ {
2064
+ "epoch": 1.0,
2065
+ "step": 342,
2066
+ "total_flos": 0.0,
2067
+ "train_loss": 0.3434351306648282,
2068
+ "train_runtime": 6673.4034,
2069
+ "train_samples_per_second": 3.278,
2070
+ "train_steps_per_second": 0.051
2071
+ }
2072
+ ],
2073
+ "logging_steps": 1.0,
2074
+ "max_steps": 342,
2075
+ "num_input_tokens_seen": 0,
2076
+ "num_train_epochs": 1,
2077
+ "save_steps": 50000,
2078
+ "total_flos": 0.0,
2079
+ "train_batch_size": 4,
2080
+ "trial_name": null,
2081
+ "trial_params": null
2082
+ }