AmelieSchreiber commited on
Commit
35cea74
1 Parent(s): b83af74

Upload 11 files

Browse files
added_tokens.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "<cls>": 0,
3
+ "<eos>": 2,
4
+ "<mask>": 32,
5
+ "<pad>": 1,
6
+ "<unk>": 3
7
+ }
config (6).json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/esm2_t6_8M_UR50D",
3
+ "architectures": [
4
+ "EsmForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.5,
7
+ "classifier_dropout": null,
8
+ "emb_layer_norm_before": false,
9
+ "esmfold_config": null,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.5,
12
+ "hidden_size": 320,
13
+ "id2label": {
14
+ "0": "No binding site",
15
+ "1": "Binding site"
16
+ },
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 1280,
19
+ "is_folding_model": false,
20
+ "label2id": {
21
+ "Binding site": 1,
22
+ "No binding site": 0
23
+ },
24
+ "layer_norm_eps": 1e-05,
25
+ "mask_token_id": 32,
26
+ "max_position_embeddings": 1026,
27
+ "model_type": "esm",
28
+ "num_attention_heads": 20,
29
+ "num_hidden_layers": 6,
30
+ "pad_token_id": 1,
31
+ "position_embedding_type": "rotary",
32
+ "token_dropout": true,
33
+ "torch_dtype": "float32",
34
+ "transformers_version": "4.34.0.dev0",
35
+ "use_cache": true,
36
+ "vocab_list": null,
37
+ "vocab_size": 33
38
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed01130202ab25bb28e408aff3d24b21e5262e7b557d9e0cd96d55cac4e0692a
3
+ size 59361093
pytorch_model (2).bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0a0e3863ebd00a136b483eb80d58882f03a47f08d7767b8a5158682fd7cc8c5c
3
+ size 30989061
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a85c8f82e6ff59890e9b6b487c977f3ce1fcedec53eae378d17f83e2ecbb1a6
3
+ size 14575
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:73eb32d30209f5b72ceb1037fc68aabd56fd23c02d2f88302d7a2c36d742bf16
3
+ size 627
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "<cls>",
3
+ "eos_token": "<eos>",
4
+ "mask_token": "<mask>",
5
+ "pad_token": "<pad>",
6
+ "unk_token": "<unk>"
7
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<cls>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<pad>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "<eos>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "32": {
36
+ "content": "<mask>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "additional_special_tokens": [],
45
+ "clean_up_tokenization_spaces": true,
46
+ "cls_token": "<cls>",
47
+ "eos_token": "<eos>",
48
+ "mask_token": "<mask>",
49
+ "model_max_length": 1024,
50
+ "pad_token": "<pad>",
51
+ "tokenizer_class": "EsmTokenizer",
52
+ "tokenizer_file": null,
53
+ "unk_token": "<unk>"
54
+ }
trainer_state.json ADDED
@@ -0,0 +1,1293 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.23276936632271397,
3
+ "best_model_checkpoint": "esm2_t6_8M_finetune_2023-10-08_00-58-24/checkpoint-42015",
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 42015,
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": 0.0005701249285950224,
14
+ "loss": 0.65,
15
+ "step": 200
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 0.0005700293047710233,
20
+ "loss": 0.5381,
21
+ "step": 400
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 0.0005698699554923001,
26
+ "loss": 0.5093,
27
+ "step": 600
28
+ },
29
+ {
30
+ "epoch": 0.02,
31
+ "learning_rate": 0.0005696469163951857,
32
+ "loss": 0.4747,
33
+ "step": 800
34
+ },
35
+ {
36
+ "epoch": 0.02,
37
+ "learning_rate": 0.0005693602373593884,
38
+ "loss": 0.4731,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.03,
43
+ "learning_rate": 0.0005690099824968371,
44
+ "loss": 0.454,
45
+ "step": 1200
46
+ },
47
+ {
48
+ "epoch": 0.03,
49
+ "learning_rate": 0.000568596230137343,
50
+ "loss": 0.4384,
51
+ "step": 1400
52
+ },
53
+ {
54
+ "epoch": 0.04,
55
+ "learning_rate": 0.0005681190728110825,
56
+ "loss": 0.4432,
57
+ "step": 1600
58
+ },
59
+ {
60
+ "epoch": 0.04,
61
+ "learning_rate": 0.0005675786172279044,
62
+ "loss": 0.4288,
63
+ "step": 1800
64
+ },
65
+ {
66
+ "epoch": 0.05,
67
+ "learning_rate": 0.0005669749842534648,
68
+ "loss": 0.4278,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.05,
73
+ "learning_rate": 0.000566308308882198,
74
+ "loss": 0.4289,
75
+ "step": 2200
76
+ },
77
+ {
78
+ "epoch": 0.06,
79
+ "learning_rate": 0.0005655787402071262,
80
+ "loss": 0.4171,
81
+ "step": 2400
82
+ },
83
+ {
84
+ "epoch": 0.06,
85
+ "learning_rate": 0.0005647864413865174,
86
+ "loss": 0.4262,
87
+ "step": 2600
88
+ },
89
+ {
90
+ "epoch": 0.07,
91
+ "learning_rate": 0.0005639315896073965,
92
+ "loss": 0.4155,
93
+ "step": 2800
94
+ },
95
+ {
96
+ "epoch": 0.07,
97
+ "learning_rate": 0.0005630143760459205,
98
+ "loss": 0.4042,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.08,
103
+ "learning_rate": 0.000562035005824624,
104
+ "loss": 0.4102,
105
+ "step": 3200
106
+ },
107
+ {
108
+ "epoch": 0.08,
109
+ "learning_rate": 0.0005609936979665467,
110
+ "loss": 0.403,
111
+ "step": 3400
112
+ },
113
+ {
114
+ "epoch": 0.09,
115
+ "learning_rate": 0.0005598906853462516,
116
+ "loss": 0.3957,
117
+ "step": 3600
118
+ },
119
+ {
120
+ "epoch": 0.09,
121
+ "learning_rate": 0.0005587262146377457,
122
+ "loss": 0.3939,
123
+ "step": 3800
124
+ },
125
+ {
126
+ "epoch": 0.1,
127
+ "learning_rate": 0.0005575005462593147,
128
+ "loss": 0.4017,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 0.1,
133
+ "learning_rate": 0.0005562139543152841,
134
+ "loss": 0.3957,
135
+ "step": 4200
136
+ },
137
+ {
138
+ "epoch": 0.1,
139
+ "learning_rate": 0.0005548736130124954,
140
+ "loss": 0.3983,
141
+ "step": 4400
142
+ },
143
+ {
144
+ "epoch": 0.11,
145
+ "learning_rate": 0.0005534663515857835,
146
+ "loss": 0.3824,
147
+ "step": 4600
148
+ },
149
+ {
150
+ "epoch": 0.11,
151
+ "learning_rate": 0.0005519990687871066,
152
+ "loss": 0.3809,
153
+ "step": 4800
154
+ },
155
+ {
156
+ "epoch": 0.12,
157
+ "learning_rate": 0.0005504720927546211,
158
+ "loss": 0.3862,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 0.12,
163
+ "learning_rate": 0.0005488857649760757,
164
+ "loss": 0.3723,
165
+ "step": 5200
166
+ },
167
+ {
168
+ "epoch": 0.13,
169
+ "learning_rate": 0.0005472404402124425,
170
+ "loss": 0.3708,
171
+ "step": 5400
172
+ },
173
+ {
174
+ "epoch": 0.13,
175
+ "learning_rate": 0.0005455364864185798,
176
+ "loss": 0.372,
177
+ "step": 5600
178
+ },
179
+ {
180
+ "epoch": 0.14,
181
+ "learning_rate": 0.0005437742846609435,
182
+ "loss": 0.3652,
183
+ "step": 5800
184
+ },
185
+ {
186
+ "epoch": 0.14,
187
+ "learning_rate": 0.000541954229032367,
188
+ "loss": 0.3534,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 0.15,
193
+ "learning_rate": 0.0005400767265639273,
194
+ "loss": 0.3557,
195
+ "step": 6200
196
+ },
197
+ {
198
+ "epoch": 0.15,
199
+ "learning_rate": 0.0005381421971339184,
200
+ "loss": 0.3563,
201
+ "step": 6400
202
+ },
203
+ {
204
+ "epoch": 0.16,
205
+ "learning_rate": 0.0005361510733739505,
206
+ "loss": 0.3641,
207
+ "step": 6600
208
+ },
209
+ {
210
+ "epoch": 0.16,
211
+ "learning_rate": 0.0005341141758547804,
212
+ "loss": 0.365,
213
+ "step": 6800
214
+ },
215
+ {
216
+ "epoch": 0.17,
217
+ "learning_rate": 0.0005320114891528482,
218
+ "loss": 0.3507,
219
+ "step": 7000
220
+ },
221
+ {
222
+ "epoch": 0.17,
223
+ "learning_rate": 0.000529853579171728,
224
+ "loss": 0.347,
225
+ "step": 7200
226
+ },
227
+ {
228
+ "epoch": 0.18,
229
+ "learning_rate": 0.0005276409284991003,
230
+ "loss": 0.349,
231
+ "step": 7400
232
+ },
233
+ {
234
+ "epoch": 0.18,
235
+ "learning_rate": 0.0005253740319646683,
236
+ "loss": 0.3518,
237
+ "step": 7600
238
+ },
239
+ {
240
+ "epoch": 0.19,
241
+ "learning_rate": 0.0005230533965294961,
242
+ "loss": 0.3329,
243
+ "step": 7800
244
+ },
245
+ {
246
+ "epoch": 0.19,
247
+ "learning_rate": 0.0005206795411726335,
248
+ "loss": 0.3401,
249
+ "step": 8000
250
+ },
251
+ {
252
+ "epoch": 0.2,
253
+ "learning_rate": 0.0005182529967750532,
254
+ "loss": 0.3342,
255
+ "step": 8200
256
+ },
257
+ {
258
+ "epoch": 0.2,
259
+ "learning_rate": 0.000515774306000927,
260
+ "loss": 0.3409,
261
+ "step": 8400
262
+ },
263
+ {
264
+ "epoch": 0.2,
265
+ "learning_rate": 0.0005132440231762652,
266
+ "loss": 0.331,
267
+ "step": 8600
268
+ },
269
+ {
270
+ "epoch": 0.21,
271
+ "learning_rate": 0.00051066271416495,
272
+ "loss": 0.3356,
273
+ "step": 8800
274
+ },
275
+ {
276
+ "epoch": 0.21,
277
+ "learning_rate": 0.0005080309562421869,
278
+ "loss": 0.3235,
279
+ "step": 9000
280
+ },
281
+ {
282
+ "epoch": 0.22,
283
+ "learning_rate": 0.0005053493379654053,
284
+ "loss": 0.3292,
285
+ "step": 9200
286
+ },
287
+ {
288
+ "epoch": 0.22,
289
+ "learning_rate": 0.0005026184590426352,
290
+ "loss": 0.3198,
291
+ "step": 9400
292
+ },
293
+ {
294
+ "epoch": 0.23,
295
+ "learning_rate": 0.0004998389301983908,
296
+ "loss": 0.3262,
297
+ "step": 9600
298
+ },
299
+ {
300
+ "epoch": 0.23,
301
+ "learning_rate": 0.0004970113730370897,
302
+ "loss": 0.3239,
303
+ "step": 9800
304
+ },
305
+ {
306
+ "epoch": 0.24,
307
+ "learning_rate": 0.0004941364199040399,
308
+ "loss": 0.3177,
309
+ "step": 10000
310
+ },
311
+ {
312
+ "epoch": 0.24,
313
+ "learning_rate": 0.0004912147137440239,
314
+ "loss": 0.3103,
315
+ "step": 10200
316
+ },
317
+ {
318
+ "epoch": 0.25,
319
+ "learning_rate": 0.000488246907957513,
320
+ "loss": 0.3169,
321
+ "step": 10400
322
+ },
323
+ {
324
+ "epoch": 0.25,
325
+ "learning_rate": 0.00048524884437437616,
326
+ "loss": 0.3071,
327
+ "step": 10600
328
+ },
329
+ {
330
+ "epoch": 0.26,
331
+ "learning_rate": 0.0004822064618785885,
332
+ "loss": 0.3091,
333
+ "step": 10800
334
+ },
335
+ {
336
+ "epoch": 0.26,
337
+ "learning_rate": 0.00047910481733056954,
338
+ "loss": 0.305,
339
+ "step": 11000
340
+ },
341
+ {
342
+ "epoch": 0.27,
343
+ "learning_rate": 0.000475959781372279,
344
+ "loss": 0.3086,
345
+ "step": 11200
346
+ },
347
+ {
348
+ "epoch": 0.27,
349
+ "learning_rate": 0.0004727720573489078,
350
+ "loss": 0.3034,
351
+ "step": 11400
352
+ },
353
+ {
354
+ "epoch": 0.28,
355
+ "learning_rate": 0.00046954235815226125,
356
+ "loss": 0.2921,
357
+ "step": 11600
358
+ },
359
+ {
360
+ "epoch": 0.28,
361
+ "learning_rate": 0.00046627140606133027,
362
+ "loss": 0.3043,
363
+ "step": 11800
364
+ },
365
+ {
366
+ "epoch": 0.29,
367
+ "learning_rate": 0.00046295993258076314,
368
+ "loss": 0.2905,
369
+ "step": 12000
370
+ },
371
+ {
372
+ "epoch": 0.29,
373
+ "learning_rate": 0.00045960867827727475,
374
+ "loss": 0.2969,
375
+ "step": 12200
376
+ },
377
+ {
378
+ "epoch": 0.3,
379
+ "learning_rate": 0.00045621839261402846,
380
+ "loss": 0.2938,
381
+ "step": 12400
382
+ },
383
+ {
384
+ "epoch": 0.3,
385
+ "learning_rate": 0.00045278983378302856,
386
+ "loss": 0.2934,
387
+ "step": 12600
388
+ },
389
+ {
390
+ "epoch": 0.3,
391
+ "learning_rate": 0.0004493237685355611,
392
+ "loss": 0.2844,
393
+ "step": 12800
394
+ },
395
+ {
396
+ "epoch": 0.31,
397
+ "learning_rate": 0.00044582097201072027,
398
+ "loss": 0.2882,
399
+ "step": 13000
400
+ },
401
+ {
402
+ "epoch": 0.31,
403
+ "learning_rate": 0.00044228222756205834,
404
+ "loss": 0.2936,
405
+ "step": 13200
406
+ },
407
+ {
408
+ "epoch": 0.32,
409
+ "learning_rate": 0.00043870832658239985,
410
+ "loss": 0.2776,
411
+ "step": 13400
412
+ },
413
+ {
414
+ "epoch": 0.32,
415
+ "learning_rate": 0.00043510006832685687,
416
+ "loss": 0.2811,
417
+ "step": 13600
418
+ },
419
+ {
420
+ "epoch": 0.33,
421
+ "learning_rate": 0.0004314582597340859,
422
+ "loss": 0.2821,
423
+ "step": 13800
424
+ },
425
+ {
426
+ "epoch": 0.33,
427
+ "learning_rate": 0.00042778371524582784,
428
+ "loss": 0.287,
429
+ "step": 14000
430
+ },
431
+ {
432
+ "epoch": 0.34,
433
+ "learning_rate": 0.00042407725662476785,
434
+ "loss": 0.2789,
435
+ "step": 14200
436
+ },
437
+ {
438
+ "epoch": 0.34,
439
+ "learning_rate": 0.00042033971277076005,
440
+ "loss": 0.2763,
441
+ "step": 14400
442
+ },
443
+ {
444
+ "epoch": 0.35,
445
+ "learning_rate": 0.0004165719195354547,
446
+ "loss": 0.2695,
447
+ "step": 14600
448
+ },
449
+ {
450
+ "epoch": 0.35,
451
+ "learning_rate": 0.00041277471953537104,
452
+ "loss": 0.2635,
453
+ "step": 14800
454
+ },
455
+ {
456
+ "epoch": 0.36,
457
+ "learning_rate": 0.0004089489619634578,
458
+ "loss": 0.2636,
459
+ "step": 15000
460
+ },
461
+ {
462
+ "epoch": 0.36,
463
+ "learning_rate": 0.0004050955023991823,
464
+ "loss": 0.2632,
465
+ "step": 15200
466
+ },
467
+ {
468
+ "epoch": 0.37,
469
+ "learning_rate": 0.0004012152026171918,
470
+ "loss": 0.2542,
471
+ "step": 15400
472
+ },
473
+ {
474
+ "epoch": 0.37,
475
+ "learning_rate": 0.000397328524919439,
476
+ "loss": 0.2705,
477
+ "step": 15600
478
+ },
479
+ {
480
+ "epoch": 0.38,
481
+ "learning_rate": 0.0003933972771535795,
482
+ "loss": 0.2513,
483
+ "step": 15800
484
+ },
485
+ {
486
+ "epoch": 0.38,
487
+ "learning_rate": 0.0003894418053214825,
488
+ "loss": 0.245,
489
+ "step": 16000
490
+ },
491
+ {
492
+ "epoch": 0.39,
493
+ "learning_rate": 0.00038546299401147295,
494
+ "loss": 0.2578,
495
+ "step": 16200
496
+ },
497
+ {
498
+ "epoch": 0.39,
499
+ "learning_rate": 0.0003814617330314382,
500
+ "loss": 0.2577,
501
+ "step": 16400
502
+ },
503
+ {
504
+ "epoch": 0.4,
505
+ "learning_rate": 0.0003774389172098332,
506
+ "loss": 0.2491,
507
+ "step": 16600
508
+ },
509
+ {
510
+ "epoch": 0.4,
511
+ "learning_rate": 0.0003733954461955649,
512
+ "loss": 0.2563,
513
+ "step": 16800
514
+ },
515
+ {
516
+ "epoch": 0.4,
517
+ "learning_rate": 0.00036933222425679775,
518
+ "loss": 0.2552,
519
+ "step": 17000
520
+ },
521
+ {
522
+ "epoch": 0.41,
523
+ "learning_rate": 0.00036525016007872573,
524
+ "loss": 0.236,
525
+ "step": 17200
526
+ },
527
+ {
528
+ "epoch": 0.41,
529
+ "learning_rate": 0.00036115016656035776,
530
+ "loss": 0.2482,
531
+ "step": 17400
532
+ },
533
+ {
534
+ "epoch": 0.42,
535
+ "learning_rate": 0.00035703316061035936,
536
+ "loss": 0.2412,
537
+ "step": 17600
538
+ },
539
+ {
540
+ "epoch": 0.42,
541
+ "learning_rate": 0.0003529000629419989,
542
+ "loss": 0.2402,
543
+ "step": 17800
544
+ },
545
+ {
546
+ "epoch": 0.43,
547
+ "learning_rate": 0.00034877257538830126,
548
+ "loss": 0.2383,
549
+ "step": 18000
550
+ },
551
+ {
552
+ "epoch": 0.43,
553
+ "learning_rate": 0.00034461013949659567,
554
+ "loss": 0.2303,
555
+ "step": 18200
556
+ },
557
+ {
558
+ "epoch": 0.44,
559
+ "learning_rate": 0.00034043439012889894,
560
+ "loss": 0.2368,
561
+ "step": 18400
562
+ },
563
+ {
564
+ "epoch": 0.44,
565
+ "learning_rate": 0.00033624626113565846,
566
+ "loss": 0.227,
567
+ "step": 18600
568
+ },
569
+ {
570
+ "epoch": 0.45,
571
+ "learning_rate": 0.0003320466891358589,
572
+ "loss": 0.2321,
573
+ "step": 18800
574
+ },
575
+ {
576
+ "epoch": 0.45,
577
+ "learning_rate": 0.00032783661330756047,
578
+ "loss": 0.2307,
579
+ "step": 19000
580
+ },
581
+ {
582
+ "epoch": 0.46,
583
+ "learning_rate": 0.00032361697517786374,
584
+ "loss": 0.2209,
585
+ "step": 19200
586
+ },
587
+ {
588
+ "epoch": 0.46,
589
+ "learning_rate": 0.0003193887184123502,
590
+ "loss": 0.2283,
591
+ "step": 19400
592
+ },
593
+ {
594
+ "epoch": 0.47,
595
+ "learning_rate": 0.00031515278860404374,
596
+ "loss": 0.2231,
597
+ "step": 19600
598
+ },
599
+ {
600
+ "epoch": 0.47,
601
+ "learning_rate": 0.00031091013306194153,
602
+ "loss": 0.213,
603
+ "step": 19800
604
+ },
605
+ {
606
+ "epoch": 0.48,
607
+ "learning_rate": 0.0003066617005991611,
608
+ "loss": 0.2227,
609
+ "step": 20000
610
+ },
611
+ {
612
+ "epoch": 0.48,
613
+ "learning_rate": 0.0003024084413207512,
614
+ "loss": 0.2106,
615
+ "step": 20200
616
+ },
617
+ {
618
+ "epoch": 0.49,
619
+ "learning_rate": 0.0002981726001518289,
620
+ "loss": 0.2156,
621
+ "step": 20400
622
+ },
623
+ {
624
+ "epoch": 0.49,
625
+ "learning_rate": 0.00029391255391089834,
626
+ "loss": 0.2185,
627
+ "step": 20600
628
+ },
629
+ {
630
+ "epoch": 0.5,
631
+ "learning_rate": 0.0002896505320303282,
632
+ "loss": 0.2133,
633
+ "step": 20800
634
+ },
635
+ {
636
+ "epoch": 0.5,
637
+ "learning_rate": 0.00028538748765425824,
638
+ "loss": 0.2169,
639
+ "step": 21000
640
+ },
641
+ {
642
+ "epoch": 0.5,
643
+ "learning_rate": 0.0002811243741554959,
644
+ "loss": 0.2082,
645
+ "step": 21200
646
+ },
647
+ {
648
+ "epoch": 0.51,
649
+ "learning_rate": 0.00027686214492230696,
650
+ "loss": 0.2052,
651
+ "step": 21400
652
+ },
653
+ {
654
+ "epoch": 0.51,
655
+ "learning_rate": 0.00027262304895711635,
656
+ "loss": 0.2166,
657
+ "step": 21600
658
+ },
659
+ {
660
+ "epoch": 0.52,
661
+ "learning_rate": 0.00026836543109541225,
662
+ "loss": 0.211,
663
+ "step": 21800
664
+ },
665
+ {
666
+ "epoch": 0.52,
667
+ "learning_rate": 0.00026411155086609875,
668
+ "loss": 0.2014,
669
+ "step": 22000
670
+ },
671
+ {
672
+ "epoch": 0.53,
673
+ "learning_rate": 0.0002598623595925447,
674
+ "loss": 0.2029,
675
+ "step": 22200
676
+ },
677
+ {
678
+ "epoch": 0.53,
679
+ "learning_rate": 0.0002556188075494962,
680
+ "loss": 0.1988,
681
+ "step": 22400
682
+ },
683
+ {
684
+ "epoch": 0.54,
685
+ "learning_rate": 0.00025138184375056156,
686
+ "loss": 0.2003,
687
+ "step": 22600
688
+ },
689
+ {
690
+ "epoch": 0.54,
691
+ "learning_rate": 0.0002471524157359758,
692
+ "loss": 0.197,
693
+ "step": 22800
694
+ },
695
+ {
696
+ "epoch": 0.55,
697
+ "learning_rate": 0.0002429314693606973,
698
+ "loss": 0.1958,
699
+ "step": 23000
700
+ },
701
+ {
702
+ "epoch": 0.55,
703
+ "learning_rate": 0.00023871994858287913,
704
+ "loss": 0.1848,
705
+ "step": 23200
706
+ },
707
+ {
708
+ "epoch": 0.56,
709
+ "learning_rate": 0.00023451879525276522,
710
+ "loss": 0.1925,
711
+ "step": 23400
712
+ },
713
+ {
714
+ "epoch": 0.56,
715
+ "learning_rate": 0.0002303289489020594,
716
+ "loss": 0.1923,
717
+ "step": 23600
718
+ },
719
+ {
720
+ "epoch": 0.57,
721
+ "learning_rate": 0.00022615134653381023,
722
+ "loss": 0.191,
723
+ "step": 23800
724
+ },
725
+ {
726
+ "epoch": 0.57,
727
+ "learning_rate": 0.00022200771021072758,
728
+ "loss": 0.1906,
729
+ "step": 24000
730
+ },
731
+ {
732
+ "epoch": 0.58,
733
+ "learning_rate": 0.00021785732279544682,
734
+ "loss": 0.1905,
735
+ "step": 24200
736
+ },
737
+ {
738
+ "epoch": 0.58,
739
+ "learning_rate": 0.0002137219684748498,
740
+ "loss": 0.1884,
741
+ "step": 24400
742
+ },
743
+ {
744
+ "epoch": 0.59,
745
+ "learning_rate": 0.00020960257206557216,
746
+ "loss": 0.1844,
747
+ "step": 24600
748
+ },
749
+ {
750
+ "epoch": 0.59,
751
+ "learning_rate": 0.0002055000548154766,
752
+ "loss": 0.1865,
753
+ "step": 24800
754
+ },
755
+ {
756
+ "epoch": 0.6,
757
+ "learning_rate": 0.00020141533419762732,
758
+ "loss": 0.1729,
759
+ "step": 25000
760
+ },
761
+ {
762
+ "epoch": 0.6,
763
+ "learning_rate": 0.00019734932370511055,
764
+ "loss": 0.1717,
765
+ "step": 25200
766
+ },
767
+ {
768
+ "epoch": 0.6,
769
+ "learning_rate": 0.00019330293264674297,
770
+ "loss": 0.1797,
771
+ "step": 25400
772
+ },
773
+ {
774
+ "epoch": 0.61,
775
+ "learning_rate": 0.0001892770659437178,
776
+ "loss": 0.1756,
777
+ "step": 25600
778
+ },
779
+ {
780
+ "epoch": 0.61,
781
+ "learning_rate": 0.00018527262392723065,
782
+ "loss": 0.184,
783
+ "step": 25800
784
+ },
785
+ {
786
+ "epoch": 0.62,
787
+ "learning_rate": 0.00018129050213713306,
788
+ "loss": 0.1806,
789
+ "step": 26000
790
+ },
791
+ {
792
+ "epoch": 0.62,
793
+ "learning_rate": 0.00017733159112165648,
794
+ "loss": 0.175,
795
+ "step": 26200
796
+ },
797
+ {
798
+ "epoch": 0.63,
799
+ "learning_rate": 0.00017339677623825358,
800
+ "loss": 0.1746,
801
+ "step": 26400
802
+ },
803
+ {
804
+ "epoch": 0.63,
805
+ "learning_rate": 0.00016948693745559923,
806
+ "loss": 0.1667,
807
+ "step": 26600
808
+ },
809
+ {
810
+ "epoch": 0.64,
811
+ "learning_rate": 0.00016560294915679837,
812
+ "loss": 0.1737,
813
+ "step": 26800
814
+ },
815
+ {
816
+ "epoch": 0.64,
817
+ "learning_rate": 0.00016174567994384052,
818
+ "loss": 0.1624,
819
+ "step": 27000
820
+ },
821
+ {
822
+ "epoch": 0.65,
823
+ "learning_rate": 0.00015793507085198864,
824
+ "loss": 0.1667,
825
+ "step": 27200
826
+ },
827
+ {
828
+ "epoch": 0.65,
829
+ "learning_rate": 0.00015413367721145552,
830
+ "loss": 0.1679,
831
+ "step": 27400
832
+ },
833
+ {
834
+ "epoch": 0.66,
835
+ "learning_rate": 0.00015036156760590242,
836
+ "loss": 0.1626,
837
+ "step": 27600
838
+ },
839
+ {
840
+ "epoch": 0.66,
841
+ "learning_rate": 0.00014661958561714702,
842
+ "loss": 0.1614,
843
+ "step": 27800
844
+ },
845
+ {
846
+ "epoch": 0.67,
847
+ "learning_rate": 0.00014290856808936924,
848
+ "loss": 0.1603,
849
+ "step": 28000
850
+ },
851
+ {
852
+ "epoch": 0.67,
853
+ "learning_rate": 0.0001392293449419613,
854
+ "loss": 0.1611,
855
+ "step": 28200
856
+ },
857
+ {
858
+ "epoch": 0.68,
859
+ "learning_rate": 0.0001355827389839281,
860
+ "loss": 0.156,
861
+ "step": 28400
862
+ },
863
+ {
864
+ "epoch": 0.68,
865
+ "learning_rate": 0.0001319695657298769,
866
+ "loss": 0.1618,
867
+ "step": 28600
868
+ },
869
+ {
870
+ "epoch": 0.69,
871
+ "learning_rate": 0.000128390633217638,
872
+ "loss": 0.1653,
873
+ "step": 28800
874
+ },
875
+ {
876
+ "epoch": 0.69,
877
+ "learning_rate": 0.00012484674182755833,
878
+ "loss": 0.1573,
879
+ "step": 29000
880
+ },
881
+ {
882
+ "epoch": 0.69,
883
+ "learning_rate": 0.00012133868410350671,
884
+ "loss": 0.1629,
885
+ "step": 29200
886
+ },
887
+ {
888
+ "epoch": 0.7,
889
+ "learning_rate": 0.00011786724457563275,
890
+ "loss": 0.1531,
891
+ "step": 29400
892
+ },
893
+ {
894
+ "epoch": 0.7,
895
+ "learning_rate": 0.00011443319958491592,
896
+ "loss": 0.1491,
897
+ "step": 29600
898
+ },
899
+ {
900
+ "epoch": 0.71,
901
+ "learning_rate": 0.00011103731710954869,
902
+ "loss": 0.1443,
903
+ "step": 29800
904
+ },
905
+ {
906
+ "epoch": 0.71,
907
+ "learning_rate": 0.00010768035659318755,
908
+ "loss": 0.1454,
909
+ "step": 30000
910
+ },
911
+ {
912
+ "epoch": 0.72,
913
+ "learning_rate": 0.00010436306877511392,
914
+ "loss": 0.1524,
915
+ "step": 30200
916
+ },
917
+ {
918
+ "epoch": 0.72,
919
+ "learning_rate": 0.00010108619552234125,
920
+ "loss": 0.1476,
921
+ "step": 30400
922
+ },
923
+ {
924
+ "epoch": 0.73,
925
+ "learning_rate": 9.78665447379777e-05,
926
+ "loss": 0.1519,
927
+ "step": 30600
928
+ },
929
+ {
930
+ "epoch": 0.73,
931
+ "learning_rate": 9.467247876055098e-05,
932
+ "loss": 0.1421,
933
+ "step": 30800
934
+ },
935
+ {
936
+ "epoch": 0.74,
937
+ "learning_rate": 9.152099451915894e-05,
938
+ "loss": 0.1445,
939
+ "step": 31000
940
+ },
941
+ {
942
+ "epoch": 0.74,
943
+ "learning_rate": 8.841279680106426e-05,
944
+ "loss": 0.1378,
945
+ "step": 31200
946
+ },
947
+ {
948
+ "epoch": 0.75,
949
+ "learning_rate": 8.534858071307888e-05,
950
+ "loss": 0.1484,
951
+ "step": 31400
952
+ },
953
+ {
954
+ "epoch": 0.75,
955
+ "learning_rate": 8.232903152611165e-05,
956
+ "loss": 0.1434,
957
+ "step": 31600
958
+ },
959
+ {
960
+ "epoch": 0.76,
961
+ "learning_rate": 7.935482452191686e-05,
962
+ "loss": 0.1342,
963
+ "step": 31800
964
+ },
965
+ {
966
+ "epoch": 0.76,
967
+ "learning_rate": 7.642662484207666e-05,
968
+ "loss": 0.139,
969
+ "step": 32000
970
+ },
971
+ {
972
+ "epoch": 0.77,
973
+ "learning_rate": 7.354508733925122e-05,
974
+ "loss": 0.1411,
975
+ "step": 32200
976
+ },
977
+ {
978
+ "epoch": 0.77,
979
+ "learning_rate": 7.071085643072893e-05,
980
+ "loss": 0.1319,
981
+ "step": 32400
982
+ },
983
+ {
984
+ "epoch": 0.78,
985
+ "learning_rate": 6.792456595431225e-05,
986
+ "loss": 0.1287,
987
+ "step": 32600
988
+ },
989
+ {
990
+ "epoch": 0.78,
991
+ "learning_rate": 6.518683902656733e-05,
992
+ "loss": 0.1273,
993
+ "step": 32800
994
+ },
995
+ {
996
+ "epoch": 0.79,
997
+ "learning_rate": 6.249828790347295e-05,
998
+ "loss": 0.129,
999
+ "step": 33000
1000
+ },
1001
+ {
1002
+ "epoch": 0.79,
1003
+ "learning_rate": 5.9859513843497324e-05,
1004
+ "loss": 0.1326,
1005
+ "step": 33200
1006
+ },
1007
+ {
1008
+ "epoch": 0.79,
1009
+ "learning_rate": 5.727110697313506e-05,
1010
+ "loss": 0.1302,
1011
+ "step": 33400
1012
+ },
1013
+ {
1014
+ "epoch": 0.8,
1015
+ "learning_rate": 5.47336461549329e-05,
1016
+ "loss": 0.1487,
1017
+ "step": 33600
1018
+ },
1019
+ {
1020
+ "epoch": 0.8,
1021
+ "learning_rate": 5.224769885803498e-05,
1022
+ "loss": 0.1282,
1023
+ "step": 33800
1024
+ },
1025
+ {
1026
+ "epoch": 0.81,
1027
+ "learning_rate": 4.981382103127605e-05,
1028
+ "loss": 0.1278,
1029
+ "step": 34000
1030
+ },
1031
+ {
1032
+ "epoch": 0.81,
1033
+ "learning_rate": 4.7432556978851023e-05,
1034
+ "loss": 0.13,
1035
+ "step": 34200
1036
+ },
1037
+ {
1038
+ "epoch": 0.82,
1039
+ "learning_rate": 4.51044392385881e-05,
1040
+ "loss": 0.1281,
1041
+ "step": 34400
1042
+ },
1043
+ {
1044
+ "epoch": 0.82,
1045
+ "learning_rate": 4.28412263737391e-05,
1046
+ "loss": 0.1285,
1047
+ "step": 34600
1048
+ },
1049
+ {
1050
+ "epoch": 0.83,
1051
+ "learning_rate": 4.063164624396037e-05,
1052
+ "loss": 0.1288,
1053
+ "step": 34800
1054
+ },
1055
+ {
1056
+ "epoch": 0.83,
1057
+ "learning_rate": 3.846549409375182e-05,
1058
+ "loss": 0.1275,
1059
+ "step": 35000
1060
+ },
1061
+ {
1062
+ "epoch": 0.84,
1063
+ "learning_rate": 3.635449361928196e-05,
1064
+ "loss": 0.1249,
1065
+ "step": 35200
1066
+ },
1067
+ {
1068
+ "epoch": 0.84,
1069
+ "learning_rate": 3.42991169175479e-05,
1070
+ "loss": 0.1258,
1071
+ "step": 35400
1072
+ },
1073
+ {
1074
+ "epoch": 0.85,
1075
+ "learning_rate": 3.229982364603461e-05,
1076
+ "loss": 0.1285,
1077
+ "step": 35600
1078
+ },
1079
+ {
1080
+ "epoch": 0.85,
1081
+ "learning_rate": 3.0357060919918606e-05,
1082
+ "loss": 0.1303,
1083
+ "step": 35800
1084
+ },
1085
+ {
1086
+ "epoch": 0.86,
1087
+ "learning_rate": 2.8471263212076872e-05,
1088
+ "loss": 0.1306,
1089
+ "step": 36000
1090
+ },
1091
+ {
1092
+ "epoch": 0.86,
1093
+ "learning_rate": 2.6642852255922315e-05,
1094
+ "loss": 0.1253,
1095
+ "step": 36200
1096
+ },
1097
+ {
1098
+ "epoch": 0.87,
1099
+ "learning_rate": 2.487223695108933e-05,
1100
+ "loss": 0.1175,
1101
+ "step": 36400
1102
+ },
1103
+ {
1104
+ "epoch": 0.87,
1105
+ "learning_rate": 2.3159813271988392e-05,
1106
+ "loss": 0.1273,
1107
+ "step": 36600
1108
+ },
1109
+ {
1110
+ "epoch": 0.88,
1111
+ "learning_rate": 2.151408710314706e-05,
1112
+ "loss": 0.1316,
1113
+ "step": 36800
1114
+ },
1115
+ {
1116
+ "epoch": 0.88,
1117
+ "learning_rate": 1.9918886837489768e-05,
1118
+ "loss": 0.121,
1119
+ "step": 37000
1120
+ },
1121
+ {
1122
+ "epoch": 0.89,
1123
+ "learning_rate": 1.838298594800929e-05,
1124
+ "loss": 0.1307,
1125
+ "step": 37200
1126
+ },
1127
+ {
1128
+ "epoch": 0.89,
1129
+ "learning_rate": 1.69067279183791e-05,
1130
+ "loss": 0.1169,
1131
+ "step": 37400
1132
+ },
1133
+ {
1134
+ "epoch": 0.89,
1135
+ "learning_rate": 1.549044289394571e-05,
1136
+ "loss": 0.1202,
1137
+ "step": 37600
1138
+ },
1139
+ {
1140
+ "epoch": 0.9,
1141
+ "learning_rate": 1.4134447607895461e-05,
1142
+ "loss": 0.1139,
1143
+ "step": 37800
1144
+ },
1145
+ {
1146
+ "epoch": 0.9,
1147
+ "learning_rate": 1.2839045310422171e-05,
1148
+ "loss": 0.1289,
1149
+ "step": 38000
1150
+ },
1151
+ {
1152
+ "epoch": 0.91,
1153
+ "learning_rate": 1.1604525700908673e-05,
1154
+ "loss": 0.1333,
1155
+ "step": 38200
1156
+ },
1157
+ {
1158
+ "epoch": 0.91,
1159
+ "learning_rate": 1.0431164863139752e-05,
1160
+ "loss": 0.1165,
1161
+ "step": 38400
1162
+ },
1163
+ {
1164
+ "epoch": 0.92,
1165
+ "learning_rate": 9.319225203559418e-06,
1166
+ "loss": 0.121,
1167
+ "step": 38600
1168
+ },
1169
+ {
1170
+ "epoch": 0.92,
1171
+ "learning_rate": 8.268955392587713e-06,
1172
+ "loss": 0.1265,
1173
+ "step": 38800
1174
+ },
1175
+ {
1176
+ "epoch": 0.93,
1177
+ "learning_rate": 7.2805903090082e-06,
1178
+ "loss": 0.114,
1179
+ "step": 39000
1180
+ },
1181
+ {
1182
+ "epoch": 0.93,
1183
+ "learning_rate": 6.3543509874411355e-06,
1184
+ "loss": 0.1191,
1185
+ "step": 39200
1186
+ },
1187
+ {
1188
+ "epoch": 0.94,
1189
+ "learning_rate": 5.4904445689116835e-06,
1190
+ "loss": 0.1085,
1191
+ "step": 39400
1192
+ },
1193
+ {
1194
+ "epoch": 0.94,
1195
+ "learning_rate": 4.689064254525586e-06,
1196
+ "loss": 0.1171,
1197
+ "step": 39600
1198
+ },
1199
+ {
1200
+ "epoch": 0.95,
1201
+ "learning_rate": 3.9503892622624656e-06,
1202
+ "loss": 0.1127,
1203
+ "step": 39800
1204
+ },
1205
+ {
1206
+ "epoch": 0.95,
1207
+ "learning_rate": 3.2745847868960813e-06,
1208
+ "loss": 0.1206,
1209
+ "step": 40000
1210
+ },
1211
+ {
1212
+ "epoch": 0.96,
1213
+ "learning_rate": 2.6618019630506124e-06,
1214
+ "loss": 0.1167,
1215
+ "step": 40200
1216
+ },
1217
+ {
1218
+ "epoch": 0.96,
1219
+ "learning_rate": 2.1121778314016173e-06,
1220
+ "loss": 0.116,
1221
+ "step": 40400
1222
+ },
1223
+ {
1224
+ "epoch": 0.97,
1225
+ "learning_rate": 1.6258353080285549e-06,
1226
+ "loss": 0.1155,
1227
+ "step": 40600
1228
+ },
1229
+ {
1230
+ "epoch": 0.97,
1231
+ "learning_rate": 1.202883156926388e-06,
1232
+ "loss": 0.1112,
1233
+ "step": 40800
1234
+ },
1235
+ {
1236
+ "epoch": 0.98,
1237
+ "learning_rate": 8.450552439147354e-07,
1238
+ "loss": 0.124,
1239
+ "step": 41000
1240
+ },
1241
+ {
1242
+ "epoch": 0.98,
1243
+ "learning_rate": 5.488353993419233e-07,
1244
+ "loss": 0.1186,
1245
+ "step": 41200
1246
+ },
1247
+ {
1248
+ "epoch": 0.99,
1249
+ "learning_rate": 3.1624678365224445e-07,
1250
+ "loss": 0.1128,
1251
+ "step": 41400
1252
+ },
1253
+ {
1254
+ "epoch": 0.99,
1255
+ "learning_rate": 1.473414121760922e-07,
1256
+ "loss": 0.1269,
1257
+ "step": 41600
1258
+ },
1259
+ {
1260
+ "epoch": 0.99,
1261
+ "learning_rate": 4.215705833867654e-08,
1262
+ "loss": 0.1186,
1263
+ "step": 41800
1264
+ },
1265
+ {
1266
+ "epoch": 1.0,
1267
+ "learning_rate": 7.172452126860464e-10,
1268
+ "loss": 0.1156,
1269
+ "step": 42000
1270
+ },
1271
+ {
1272
+ "epoch": 1.0,
1273
+ "eval_accuracy": 0.9232681404353718,
1274
+ "eval_auc": 0.7327222270892191,
1275
+ "eval_f1": 0.23276936632271397,
1276
+ "eval_loss": 1.4070135354995728,
1277
+ "eval_mcc": 0.2532717443913893,
1278
+ "eval_precision": 0.14886006058928025,
1279
+ "eval_recall": 0.5334820519181167,
1280
+ "eval_runtime": 1911.9976,
1281
+ "eval_samples_per_second": 66.763,
1282
+ "eval_steps_per_second": 5.564,
1283
+ "step": 42015
1284
+ }
1285
+ ],
1286
+ "logging_steps": 200,
1287
+ "max_steps": 42015,
1288
+ "num_train_epochs": 1,
1289
+ "save_steps": 500,
1290
+ "total_flos": 2.0189159728820676e+16,
1291
+ "trial_name": null,
1292
+ "trial_params": null
1293
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30d2e37dd745b136deee1518b887f496e20443336e529bbeb49feb47e366d3ff
3
+ size 4091
vocab.txt ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <cls>
2
+ <pad>
3
+ <eos>
4
+ <unk>
5
+ L
6
+ A
7
+ G
8
+ V
9
+ S
10
+ E
11
+ R
12
+ T
13
+ I
14
+ D
15
+ P
16
+ K
17
+ Q
18
+ N
19
+ F
20
+ Y
21
+ M
22
+ H
23
+ W
24
+ C
25
+ X
26
+ B
27
+ U
28
+ Z
29
+ O
30
+ .
31
+ -
32
+ <null_1>
33
+ <mask>