soba1911 commited on
Commit
1c8d5b1
1 Parent(s): a621cd2

Upload 7 files

Browse files
config.json ADDED
@@ -0,0 +1,128 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "soba1911/xlsr-wav2vec2",
3
+ "activation_dropout": 0.0,
4
+ "adapter_attn_dim": null,
5
+ "adapter_kernel_size": 3,
6
+ "adapter_stride": 2,
7
+ "add_adapter": false,
8
+ "apply_spec_augment": true,
9
+ "architectures": [
10
+ "Wav2Vec2ForSpeechClassification"
11
+ ],
12
+ "attention_dropout": 0.1,
13
+ "bos_token_id": 1,
14
+ "classifier_proj_size": 256,
15
+ "codevector_dim": 768,
16
+ "contrastive_logits_temperature": 0.1,
17
+ "conv_bias": true,
18
+ "conv_dim": [
19
+ 512,
20
+ 512,
21
+ 512,
22
+ 512,
23
+ 512,
24
+ 512,
25
+ 512
26
+ ],
27
+ "conv_kernel": [
28
+ 10,
29
+ 3,
30
+ 3,
31
+ 3,
32
+ 3,
33
+ 2,
34
+ 2
35
+ ],
36
+ "conv_stride": [
37
+ 5,
38
+ 2,
39
+ 2,
40
+ 2,
41
+ 2,
42
+ 2,
43
+ 2
44
+ ],
45
+ "ctc_loss_reduction": "sum",
46
+ "ctc_zero_infinity": false,
47
+ "diversity_loss_weight": 0.1,
48
+ "do_stable_layer_norm": true,
49
+ "eos_token_id": 2,
50
+ "feat_extract_activation": "gelu",
51
+ "feat_extract_dropout": 0.0,
52
+ "feat_extract_norm": "layer",
53
+ "feat_proj_dropout": 0.1,
54
+ "feat_quantizer_dropout": 0.0,
55
+ "final_dropout": 0.0,
56
+ "finetuning_task": "wav2vec2_clf",
57
+ "gradient_checkpointing": false,
58
+ "hidden_act": "gelu",
59
+ "hidden_dropout": 0.1,
60
+ "hidden_size": 1024,
61
+ "id2label": {
62
+ "0": "bonafide",
63
+ "1": "spoof"
64
+ },
65
+ "initializer_range": 0.02,
66
+ "intermediate_size": 4096,
67
+ "label2id": {
68
+ "bonafide": 0,
69
+ "spoof": 1
70
+ },
71
+ "layer_norm_eps": 1e-05,
72
+ "layerdrop": 0.1,
73
+ "mask_channel_length": 10,
74
+ "mask_channel_min_space": 1,
75
+ "mask_channel_other": 0.0,
76
+ "mask_channel_prob": 0.0,
77
+ "mask_channel_selection": "static",
78
+ "mask_feature_length": 10,
79
+ "mask_feature_min_masks": 0,
80
+ "mask_feature_prob": 0.0,
81
+ "mask_time_length": 10,
82
+ "mask_time_min_masks": 2,
83
+ "mask_time_min_space": 1,
84
+ "mask_time_other": 0.0,
85
+ "mask_time_prob": 0.075,
86
+ "mask_time_selection": "static",
87
+ "model_type": "wav2vec2",
88
+ "num_adapter_layers": 3,
89
+ "num_attention_heads": 16,
90
+ "num_codevector_groups": 2,
91
+ "num_codevectors_per_group": 320,
92
+ "num_conv_pos_embedding_groups": 16,
93
+ "num_conv_pos_embeddings": 128,
94
+ "num_feat_extract_layers": 7,
95
+ "num_hidden_layers": 24,
96
+ "num_negatives": 100,
97
+ "output_hidden_size": 1024,
98
+ "pad_token_id": 0,
99
+ "pooling_mode": "mean",
100
+ "problem_type": "single_label_classification",
101
+ "proj_codevector_dim": 768,
102
+ "tdnn_dilation": [
103
+ 1,
104
+ 2,
105
+ 3,
106
+ 1,
107
+ 1
108
+ ],
109
+ "tdnn_dim": [
110
+ 512,
111
+ 512,
112
+ 512,
113
+ 512,
114
+ 1500
115
+ ],
116
+ "tdnn_kernel": [
117
+ 5,
118
+ 3,
119
+ 3,
120
+ 1,
121
+ 1
122
+ ],
123
+ "torch_dtype": "float32",
124
+ "transformers_version": "4.42.0.dev0",
125
+ "use_weighted_layer_sum": false,
126
+ "vocab_size": 32,
127
+ "xvector_output_dim": 512
128
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "feature_extractor_type": "Wav2Vec2FeatureExtractor",
4
+ "feature_size": 1,
5
+ "padding_side": "right",
6
+ "padding_value": 0,
7
+ "return_attention_mask": true,
8
+ "sampling_rate": 16000
9
+ }
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a4479abe1652b884f1d94f8ac69ebd859e6918177f93457a3444f03259ed265
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4aec5c2f056acaa2fbffcd9c5be9cf23e3440cbb2644f199cc6997e40426b30f
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,913 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.23143277929728592,
5
+ "eval_steps": 10,
6
+ "global_step": 550,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.004207868714496108,
13
+ "grad_norm": 10.497783660888672,
14
+ "learning_rate": 0.0004909090909090909,
15
+ "loss": 0.7938,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.004207868714496108,
20
+ "eval_accuracy": 0.5304018259048462,
21
+ "eval_loss": 0.7331877946853638,
22
+ "eval_runtime": 568.2697,
23
+ "eval_samples_per_second": 8.364,
24
+ "eval_steps_per_second": 2.092,
25
+ "step": 10
26
+ },
27
+ {
28
+ "epoch": 0.008415737428992216,
29
+ "grad_norm": 2.557694435119629,
30
+ "learning_rate": 0.00048181818181818184,
31
+ "loss": 0.7504,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.008415737428992216,
36
+ "eval_accuracy": 0.5634336471557617,
37
+ "eval_loss": 0.7359612584114075,
38
+ "eval_runtime": 559.3032,
39
+ "eval_samples_per_second": 8.498,
40
+ "eval_steps_per_second": 2.126,
41
+ "step": 20
42
+ },
43
+ {
44
+ "epoch": 0.012623606143488323,
45
+ "grad_norm": 3.9564919471740723,
46
+ "learning_rate": 0.0004727272727272727,
47
+ "loss": 0.7866,
48
+ "step": 30
49
+ },
50
+ {
51
+ "epoch": 0.012623606143488323,
52
+ "eval_accuracy": 0.4085840582847595,
53
+ "eval_loss": 0.7127184271812439,
54
+ "eval_runtime": 567.0848,
55
+ "eval_samples_per_second": 8.381,
56
+ "eval_steps_per_second": 2.097,
57
+ "step": 30
58
+ },
59
+ {
60
+ "epoch": 0.016831474857984433,
61
+ "grad_norm": 29.89333724975586,
62
+ "learning_rate": 0.00046363636363636366,
63
+ "loss": 0.678,
64
+ "step": 40
65
+ },
66
+ {
67
+ "epoch": 0.016831474857984433,
68
+ "eval_accuracy": 0.6875657439231873,
69
+ "eval_loss": 0.6557931303977966,
70
+ "eval_runtime": 563.9541,
71
+ "eval_samples_per_second": 8.428,
72
+ "eval_steps_per_second": 2.108,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 0.021039343572480537,
77
+ "grad_norm": 1.9482946395874023,
78
+ "learning_rate": 0.00045454545454545455,
79
+ "loss": 0.8634,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.021039343572480537,
84
+ "eval_accuracy": 0.6572691202163696,
85
+ "eval_loss": 0.613047182559967,
86
+ "eval_runtime": 565.9198,
87
+ "eval_samples_per_second": 8.399,
88
+ "eval_steps_per_second": 2.101,
89
+ "step": 50
90
+ },
91
+ {
92
+ "epoch": 0.025247212286976645,
93
+ "grad_norm": 1.0520250797271729,
94
+ "learning_rate": 0.00044545454545454543,
95
+ "loss": 0.5117,
96
+ "step": 60
97
+ },
98
+ {
99
+ "epoch": 0.025247212286976645,
100
+ "eval_accuracy": 0.7416368722915649,
101
+ "eval_loss": 0.5154983997344971,
102
+ "eval_runtime": 566.7191,
103
+ "eval_samples_per_second": 8.387,
104
+ "eval_steps_per_second": 2.098,
105
+ "step": 60
106
+ },
107
+ {
108
+ "epoch": 0.029455081001472753,
109
+ "grad_norm": 3.958573341369629,
110
+ "learning_rate": 0.00043636363636363637,
111
+ "loss": 0.6066,
112
+ "step": 70
113
+ },
114
+ {
115
+ "epoch": 0.029455081001472753,
116
+ "eval_accuracy": 0.7858194708824158,
117
+ "eval_loss": 0.5255141854286194,
118
+ "eval_runtime": 561.6163,
119
+ "eval_samples_per_second": 8.463,
120
+ "eval_steps_per_second": 2.117,
121
+ "step": 70
122
+ },
123
+ {
124
+ "epoch": 0.033662949715968865,
125
+ "grad_norm": 7.255526542663574,
126
+ "learning_rate": 0.00042727272727272726,
127
+ "loss": 0.5282,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.033662949715968865,
132
+ "eval_accuracy": 0.8045445084571838,
133
+ "eval_loss": 0.6335883140563965,
134
+ "eval_runtime": 565.1826,
135
+ "eval_samples_per_second": 8.41,
136
+ "eval_steps_per_second": 2.104,
137
+ "step": 80
138
+ },
139
+ {
140
+ "epoch": 0.03787081843046497,
141
+ "grad_norm": 4.439815521240234,
142
+ "learning_rate": 0.00041818181818181814,
143
+ "loss": 0.3694,
144
+ "step": 90
145
+ },
146
+ {
147
+ "epoch": 0.03787081843046497,
148
+ "eval_accuracy": 0.8161161541938782,
149
+ "eval_loss": 0.464495450258255,
150
+ "eval_runtime": 562.0768,
151
+ "eval_samples_per_second": 8.456,
152
+ "eval_steps_per_second": 2.115,
153
+ "step": 90
154
+ },
155
+ {
156
+ "epoch": 0.042078687144961074,
157
+ "grad_norm": 1.75038743019104,
158
+ "learning_rate": 0.00040909090909090913,
159
+ "loss": 0.4786,
160
+ "step": 100
161
+ },
162
+ {
163
+ "epoch": 0.042078687144961074,
164
+ "eval_accuracy": 0.8079107999801636,
165
+ "eval_loss": 0.4171961545944214,
166
+ "eval_runtime": 555.7896,
167
+ "eval_samples_per_second": 8.552,
168
+ "eval_steps_per_second": 2.139,
169
+ "step": 100
170
+ },
171
+ {
172
+ "epoch": 0.046286555859457186,
173
+ "grad_norm": 2.398599624633789,
174
+ "learning_rate": 0.0004,
175
+ "loss": 0.3394,
176
+ "step": 110
177
+ },
178
+ {
179
+ "epoch": 0.046286555859457186,
180
+ "eval_accuracy": 0.8739743232727051,
181
+ "eval_loss": 0.353726327419281,
182
+ "eval_runtime": 558.2722,
183
+ "eval_samples_per_second": 8.514,
184
+ "eval_steps_per_second": 2.13,
185
+ "step": 110
186
+ },
187
+ {
188
+ "epoch": 0.05049442457395329,
189
+ "grad_norm": 2.4667985439300537,
190
+ "learning_rate": 0.00039090909090909096,
191
+ "loss": 0.4313,
192
+ "step": 120
193
+ },
194
+ {
195
+ "epoch": 0.05049442457395329,
196
+ "eval_accuracy": 0.8889122605323792,
197
+ "eval_loss": 0.2820029556751251,
198
+ "eval_runtime": 563.3341,
199
+ "eval_samples_per_second": 8.437,
200
+ "eval_steps_per_second": 2.111,
201
+ "step": 120
202
+ },
203
+ {
204
+ "epoch": 0.0547022932884494,
205
+ "grad_norm": 1.1293903589248657,
206
+ "learning_rate": 0.00038181818181818184,
207
+ "loss": 0.3352,
208
+ "step": 130
209
+ },
210
+ {
211
+ "epoch": 0.0547022932884494,
212
+ "eval_accuracy": 0.8889122605323792,
213
+ "eval_loss": 0.28811973333358765,
214
+ "eval_runtime": 563.2561,
215
+ "eval_samples_per_second": 8.438,
216
+ "eval_steps_per_second": 2.111,
217
+ "step": 130
218
+ },
219
+ {
220
+ "epoch": 0.05891016200294551,
221
+ "grad_norm": 17.52765655517578,
222
+ "learning_rate": 0.00037272727272727273,
223
+ "loss": 0.3772,
224
+ "step": 140
225
+ },
226
+ {
227
+ "epoch": 0.05891016200294551,
228
+ "eval_accuracy": 0.8116979002952576,
229
+ "eval_loss": 0.4701159596443176,
230
+ "eval_runtime": 565.5511,
231
+ "eval_samples_per_second": 8.404,
232
+ "eval_steps_per_second": 2.102,
233
+ "step": 140
234
+ },
235
+ {
236
+ "epoch": 0.06311803071744161,
237
+ "grad_norm": 2.1096954345703125,
238
+ "learning_rate": 0.00036363636363636367,
239
+ "loss": 0.3699,
240
+ "step": 150
241
+ },
242
+ {
243
+ "epoch": 0.06311803071744161,
244
+ "eval_accuracy": 0.8693456649780273,
245
+ "eval_loss": 0.32162848114967346,
246
+ "eval_runtime": 561.7642,
247
+ "eval_samples_per_second": 8.461,
248
+ "eval_steps_per_second": 2.117,
249
+ "step": 150
250
+ },
251
+ {
252
+ "epoch": 0.06732589943193773,
253
+ "grad_norm": 0.7017167210578918,
254
+ "learning_rate": 0.00035454545454545455,
255
+ "loss": 0.4895,
256
+ "step": 160
257
+ },
258
+ {
259
+ "epoch": 0.06732589943193773,
260
+ "eval_accuracy": 0.8817588686943054,
261
+ "eval_loss": 0.36469992995262146,
262
+ "eval_runtime": 563.6361,
263
+ "eval_samples_per_second": 8.433,
264
+ "eval_steps_per_second": 2.11,
265
+ "step": 160
266
+ },
267
+ {
268
+ "epoch": 0.07153376814643383,
269
+ "grad_norm": 0.48568668961524963,
270
+ "learning_rate": 0.00034545454545454544,
271
+ "loss": 0.46,
272
+ "step": 170
273
+ },
274
+ {
275
+ "epoch": 0.07153376814643383,
276
+ "eval_accuracy": 0.8449400663375854,
277
+ "eval_loss": 0.35531896352767944,
278
+ "eval_runtime": 566.3467,
279
+ "eval_samples_per_second": 8.392,
280
+ "eval_steps_per_second": 2.099,
281
+ "step": 170
282
+ },
283
+ {
284
+ "epoch": 0.07574163686092994,
285
+ "grad_norm": 0.6846579909324646,
286
+ "learning_rate": 0.0003363636363636364,
287
+ "loss": 0.3931,
288
+ "step": 180
289
+ },
290
+ {
291
+ "epoch": 0.07574163686092994,
292
+ "eval_accuracy": 0.8916473984718323,
293
+ "eval_loss": 0.2812640070915222,
294
+ "eval_runtime": 565.8446,
295
+ "eval_samples_per_second": 8.4,
296
+ "eval_steps_per_second": 2.101,
297
+ "step": 180
298
+ },
299
+ {
300
+ "epoch": 0.07994950557542604,
301
+ "grad_norm": 2.391395092010498,
302
+ "learning_rate": 0.00032727272727272726,
303
+ "loss": 0.3666,
304
+ "step": 190
305
+ },
306
+ {
307
+ "epoch": 0.07994950557542604,
308
+ "eval_accuracy": 0.8321060538291931,
309
+ "eval_loss": 0.4278256595134735,
310
+ "eval_runtime": 562.6059,
311
+ "eval_samples_per_second": 8.448,
312
+ "eval_steps_per_second": 2.113,
313
+ "step": 190
314
+ },
315
+ {
316
+ "epoch": 0.08415737428992215,
317
+ "grad_norm": 1.708675503730774,
318
+ "learning_rate": 0.0003181818181818182,
319
+ "loss": 0.3471,
320
+ "step": 200
321
+ },
322
+ {
323
+ "epoch": 0.08415737428992215,
324
+ "eval_accuracy": 0.9156322479248047,
325
+ "eval_loss": 0.23789770901203156,
326
+ "eval_runtime": 565.4642,
327
+ "eval_samples_per_second": 8.405,
328
+ "eval_steps_per_second": 2.103,
329
+ "step": 200
330
+ },
331
+ {
332
+ "epoch": 0.08836524300441827,
333
+ "grad_norm": 0.4107959270477295,
334
+ "learning_rate": 0.0003090909090909091,
335
+ "loss": 0.4351,
336
+ "step": 210
337
+ },
338
+ {
339
+ "epoch": 0.08836524300441827,
340
+ "eval_accuracy": 0.8889122605323792,
341
+ "eval_loss": 0.29446446895599365,
342
+ "eval_runtime": 562.2329,
343
+ "eval_samples_per_second": 8.454,
344
+ "eval_steps_per_second": 2.115,
345
+ "step": 210
346
+ },
347
+ {
348
+ "epoch": 0.09257311171891437,
349
+ "grad_norm": 10.296160697937012,
350
+ "learning_rate": 0.0003,
351
+ "loss": 0.262,
352
+ "step": 220
353
+ },
354
+ {
355
+ "epoch": 0.09257311171891437,
356
+ "eval_accuracy": 0.9017462730407715,
357
+ "eval_loss": 0.307280033826828,
358
+ "eval_runtime": 561.3167,
359
+ "eval_samples_per_second": 8.468,
360
+ "eval_steps_per_second": 2.118,
361
+ "step": 220
362
+ },
363
+ {
364
+ "epoch": 0.09678098043341048,
365
+ "grad_norm": 0.6356618404388428,
366
+ "learning_rate": 0.0002909090909090909,
367
+ "loss": 0.3291,
368
+ "step": 230
369
+ },
370
+ {
371
+ "epoch": 0.09678098043341048,
372
+ "eval_accuracy": 0.8752366900444031,
373
+ "eval_loss": 0.3042367994785309,
374
+ "eval_runtime": 567.4141,
375
+ "eval_samples_per_second": 8.377,
376
+ "eval_steps_per_second": 2.095,
377
+ "step": 230
378
+ },
379
+ {
380
+ "epoch": 0.10098884914790658,
381
+ "grad_norm": 1.1508342027664185,
382
+ "learning_rate": 0.0002818181818181818,
383
+ "loss": 0.239,
384
+ "step": 240
385
+ },
386
+ {
387
+ "epoch": 0.10098884914790658,
388
+ "eval_accuracy": 0.9150010347366333,
389
+ "eval_loss": 0.20924389362335205,
390
+ "eval_runtime": 564.144,
391
+ "eval_samples_per_second": 8.425,
392
+ "eval_steps_per_second": 2.108,
393
+ "step": 240
394
+ },
395
+ {
396
+ "epoch": 0.1051967178624027,
397
+ "grad_norm": 1.0988367795944214,
398
+ "learning_rate": 0.00027272727272727274,
399
+ "loss": 0.4306,
400
+ "step": 250
401
+ },
402
+ {
403
+ "epoch": 0.1051967178624027,
404
+ "eval_accuracy": 0.905954122543335,
405
+ "eval_loss": 0.24196282029151917,
406
+ "eval_runtime": 565.5038,
407
+ "eval_samples_per_second": 8.405,
408
+ "eval_steps_per_second": 2.103,
409
+ "step": 250
410
+ },
411
+ {
412
+ "epoch": 0.1094045865768988,
413
+ "grad_norm": 1.5871909856796265,
414
+ "learning_rate": 0.0002636363636363636,
415
+ "loss": 0.2757,
416
+ "step": 260
417
+ },
418
+ {
419
+ "epoch": 0.1094045865768988,
420
+ "eval_accuracy": 0.8415737152099609,
421
+ "eval_loss": 0.3900565505027771,
422
+ "eval_runtime": 566.4852,
423
+ "eval_samples_per_second": 8.39,
424
+ "eval_steps_per_second": 2.099,
425
+ "step": 260
426
+ },
427
+ {
428
+ "epoch": 0.11361245529139491,
429
+ "grad_norm": 0.33946001529693604,
430
+ "learning_rate": 0.0002545454545454545,
431
+ "loss": 0.1851,
432
+ "step": 270
433
+ },
434
+ {
435
+ "epoch": 0.11361245529139491,
436
+ "eval_accuracy": 0.9040606021881104,
437
+ "eval_loss": 0.2729853093624115,
438
+ "eval_runtime": 563.3502,
439
+ "eval_samples_per_second": 8.437,
440
+ "eval_steps_per_second": 2.111,
441
+ "step": 270
442
+ },
443
+ {
444
+ "epoch": 0.11782032400589101,
445
+ "grad_norm": 0.7806110978126526,
446
+ "learning_rate": 0.00024545454545454545,
447
+ "loss": 0.2655,
448
+ "step": 280
449
+ },
450
+ {
451
+ "epoch": 0.11782032400589101,
452
+ "eval_accuracy": 0.8645066022872925,
453
+ "eval_loss": 0.3478306829929352,
454
+ "eval_runtime": 565.4573,
455
+ "eval_samples_per_second": 8.406,
456
+ "eval_steps_per_second": 2.103,
457
+ "step": 280
458
+ },
459
+ {
460
+ "epoch": 0.12202819272038712,
461
+ "grad_norm": 1.8319846391677856,
462
+ "learning_rate": 0.00023636363636363636,
463
+ "loss": 0.2119,
464
+ "step": 290
465
+ },
466
+ {
467
+ "epoch": 0.12202819272038712,
468
+ "eval_accuracy": 0.9112139940261841,
469
+ "eval_loss": 0.23500923812389374,
470
+ "eval_runtime": 563.7148,
471
+ "eval_samples_per_second": 8.432,
472
+ "eval_steps_per_second": 2.109,
473
+ "step": 290
474
+ },
475
+ {
476
+ "epoch": 0.12623606143488322,
477
+ "grad_norm": 1.5416840314865112,
478
+ "learning_rate": 0.00022727272727272727,
479
+ "loss": 0.1477,
480
+ "step": 300
481
+ },
482
+ {
483
+ "epoch": 0.12623606143488322,
484
+ "eval_accuracy": 0.9219440221786499,
485
+ "eval_loss": 0.3015914261341095,
486
+ "eval_runtime": 561.7407,
487
+ "eval_samples_per_second": 8.461,
488
+ "eval_steps_per_second": 2.117,
489
+ "step": 300
490
+ },
491
+ {
492
+ "epoch": 0.13044393014937933,
493
+ "grad_norm": 3.576409101486206,
494
+ "learning_rate": 0.00021818181818181818,
495
+ "loss": 0.2137,
496
+ "step": 310
497
+ },
498
+ {
499
+ "epoch": 0.13044393014937933,
500
+ "eval_accuracy": 0.9282558560371399,
501
+ "eval_loss": 0.30129292607307434,
502
+ "eval_runtime": 563.5899,
503
+ "eval_samples_per_second": 8.433,
504
+ "eval_steps_per_second": 2.11,
505
+ "step": 310
506
+ },
507
+ {
508
+ "epoch": 0.13465179886387546,
509
+ "grad_norm": 9.926487922668457,
510
+ "learning_rate": 0.00020909090909090907,
511
+ "loss": 0.1136,
512
+ "step": 320
513
+ },
514
+ {
515
+ "epoch": 0.13465179886387546,
516
+ "eval_accuracy": 0.9307805299758911,
517
+ "eval_loss": 0.2483457773923874,
518
+ "eval_runtime": 564.5525,
519
+ "eval_samples_per_second": 8.419,
520
+ "eval_steps_per_second": 2.106,
521
+ "step": 320
522
+ },
523
+ {
524
+ "epoch": 0.13885966757837157,
525
+ "grad_norm": 1.2627246379852295,
526
+ "learning_rate": 0.0002,
527
+ "loss": 0.197,
528
+ "step": 330
529
+ },
530
+ {
531
+ "epoch": 0.13885966757837157,
532
+ "eval_accuracy": 0.913528323173523,
533
+ "eval_loss": 0.3319007456302643,
534
+ "eval_runtime": 557.94,
535
+ "eval_samples_per_second": 8.519,
536
+ "eval_steps_per_second": 2.131,
537
+ "step": 330
538
+ },
539
+ {
540
+ "epoch": 0.14306753629286767,
541
+ "grad_norm": 14.595890998840332,
542
+ "learning_rate": 0.00019090909090909092,
543
+ "loss": 0.1492,
544
+ "step": 340
545
+ },
546
+ {
547
+ "epoch": 0.14306753629286767,
548
+ "eval_accuracy": 0.8773406147956848,
549
+ "eval_loss": 0.4927380383014679,
550
+ "eval_runtime": 565.4025,
551
+ "eval_samples_per_second": 8.406,
552
+ "eval_steps_per_second": 2.103,
553
+ "step": 340
554
+ },
555
+ {
556
+ "epoch": 0.14727540500736377,
557
+ "grad_norm": 0.08015768229961395,
558
+ "learning_rate": 0.00018181818181818183,
559
+ "loss": 0.0394,
560
+ "step": 350
561
+ },
562
+ {
563
+ "epoch": 0.14727540500736377,
564
+ "eval_accuracy": 0.8889122605323792,
565
+ "eval_loss": 0.5241063833236694,
566
+ "eval_runtime": 567.4727,
567
+ "eval_samples_per_second": 8.376,
568
+ "eval_steps_per_second": 2.095,
569
+ "step": 350
570
+ },
571
+ {
572
+ "epoch": 0.15148327372185988,
573
+ "grad_norm": 1.9829438924789429,
574
+ "learning_rate": 0.00017272727272727272,
575
+ "loss": 0.284,
576
+ "step": 360
577
+ },
578
+ {
579
+ "epoch": 0.15148327372185988,
580
+ "eval_accuracy": 0.924679160118103,
581
+ "eval_loss": 0.3283034563064575,
582
+ "eval_runtime": 565.6368,
583
+ "eval_samples_per_second": 8.403,
584
+ "eval_steps_per_second": 2.102,
585
+ "step": 360
586
+ },
587
+ {
588
+ "epoch": 0.15569114243635598,
589
+ "grad_norm": 0.26033639907836914,
590
+ "learning_rate": 0.00016363636363636363,
591
+ "loss": 0.1096,
592
+ "step": 370
593
+ },
594
+ {
595
+ "epoch": 0.15569114243635598,
596
+ "eval_accuracy": 0.9179465770721436,
597
+ "eval_loss": 0.2719731330871582,
598
+ "eval_runtime": 568.9149,
599
+ "eval_samples_per_second": 8.355,
600
+ "eval_steps_per_second": 2.09,
601
+ "step": 370
602
+ },
603
+ {
604
+ "epoch": 0.1598990111508521,
605
+ "grad_norm": 0.4041542112827301,
606
+ "learning_rate": 0.00015454545454545454,
607
+ "loss": 0.3147,
608
+ "step": 380
609
+ },
610
+ {
611
+ "epoch": 0.1598990111508521,
612
+ "eval_accuracy": 0.9389858841896057,
613
+ "eval_loss": 0.20388783514499664,
614
+ "eval_runtime": 576.8924,
615
+ "eval_samples_per_second": 8.239,
616
+ "eval_steps_per_second": 2.061,
617
+ "step": 380
618
+ },
619
+ {
620
+ "epoch": 0.1641068798653482,
621
+ "grad_norm": 0.7307087182998657,
622
+ "learning_rate": 0.00014545454545454546,
623
+ "loss": 0.1,
624
+ "step": 390
625
+ },
626
+ {
627
+ "epoch": 0.1641068798653482,
628
+ "eval_accuracy": 0.9320428967475891,
629
+ "eval_loss": 0.2630753219127655,
630
+ "eval_runtime": 572.9749,
631
+ "eval_samples_per_second": 8.295,
632
+ "eval_steps_per_second": 2.075,
633
+ "step": 390
634
+ },
635
+ {
636
+ "epoch": 0.1683147485798443,
637
+ "grad_norm": 0.9732351303100586,
638
+ "learning_rate": 0.00013636363636363637,
639
+ "loss": 0.1954,
640
+ "step": 400
641
+ },
642
+ {
643
+ "epoch": 0.1683147485798443,
644
+ "eval_accuracy": 0.93309485912323,
645
+ "eval_loss": 0.265785813331604,
646
+ "eval_runtime": 571.5753,
647
+ "eval_samples_per_second": 8.316,
648
+ "eval_steps_per_second": 2.08,
649
+ "step": 400
650
+ },
651
+ {
652
+ "epoch": 0.17252261729434043,
653
+ "grad_norm": 3.890988826751709,
654
+ "learning_rate": 0.00012727272727272725,
655
+ "loss": 0.1332,
656
+ "step": 410
657
+ },
658
+ {
659
+ "epoch": 0.17252261729434043,
660
+ "eval_accuracy": 0.9469808340072632,
661
+ "eval_loss": 0.2041083574295044,
662
+ "eval_runtime": 572.7877,
663
+ "eval_samples_per_second": 8.298,
664
+ "eval_steps_per_second": 2.076,
665
+ "step": 410
666
+ },
667
+ {
668
+ "epoch": 0.17673048600883653,
669
+ "grad_norm": 0.22084006667137146,
670
+ "learning_rate": 0.00011818181818181818,
671
+ "loss": 0.116,
672
+ "step": 420
673
+ },
674
+ {
675
+ "epoch": 0.17673048600883653,
676
+ "eval_accuracy": 0.9162634015083313,
677
+ "eval_loss": 0.3249155879020691,
678
+ "eval_runtime": 572.8138,
679
+ "eval_samples_per_second": 8.298,
680
+ "eval_steps_per_second": 2.076,
681
+ "step": 420
682
+ },
683
+ {
684
+ "epoch": 0.18093835472333264,
685
+ "grad_norm": 0.09070427715778351,
686
+ "learning_rate": 0.00010909090909090909,
687
+ "loss": 0.3625,
688
+ "step": 430
689
+ },
690
+ {
691
+ "epoch": 0.18093835472333264,
692
+ "eval_accuracy": 0.9541342258453369,
693
+ "eval_loss": 0.16712911427021027,
694
+ "eval_runtime": 570.8705,
695
+ "eval_samples_per_second": 8.326,
696
+ "eval_steps_per_second": 2.083,
697
+ "step": 430
698
+ },
699
+ {
700
+ "epoch": 0.18514622343782874,
701
+ "grad_norm": 3.719890594482422,
702
+ "learning_rate": 0.0001,
703
+ "loss": 0.203,
704
+ "step": 440
705
+ },
706
+ {
707
+ "epoch": 0.18514622343782874,
708
+ "eval_accuracy": 0.9591836929321289,
709
+ "eval_loss": 0.11601703613996506,
710
+ "eval_runtime": 559.6205,
711
+ "eval_samples_per_second": 8.493,
712
+ "eval_steps_per_second": 2.125,
713
+ "step": 440
714
+ },
715
+ {
716
+ "epoch": 0.18935409215232485,
717
+ "grad_norm": 1.8163635730743408,
718
+ "learning_rate": 9.090909090909092e-05,
719
+ "loss": 0.1065,
720
+ "step": 450
721
+ },
722
+ {
723
+ "epoch": 0.18935409215232485,
724
+ "eval_accuracy": 0.9663370251655579,
725
+ "eval_loss": 0.11517694592475891,
726
+ "eval_runtime": 564.4747,
727
+ "eval_samples_per_second": 8.42,
728
+ "eval_steps_per_second": 2.106,
729
+ "step": 450
730
+ },
731
+ {
732
+ "epoch": 0.19356196086682095,
733
+ "grad_norm": 0.489663302898407,
734
+ "learning_rate": 8.181818181818182e-05,
735
+ "loss": 0.0797,
736
+ "step": 460
737
+ },
738
+ {
739
+ "epoch": 0.19356196086682095,
740
+ "eval_accuracy": 0.9524511098861694,
741
+ "eval_loss": 0.17924398183822632,
742
+ "eval_runtime": 566.5969,
743
+ "eval_samples_per_second": 8.389,
744
+ "eval_steps_per_second": 2.098,
745
+ "step": 460
746
+ },
747
+ {
748
+ "epoch": 0.19776982958131706,
749
+ "grad_norm": 0.12014146894216537,
750
+ "learning_rate": 7.272727272727273e-05,
751
+ "loss": 0.158,
752
+ "step": 470
753
+ },
754
+ {
755
+ "epoch": 0.19776982958131706,
756
+ "eval_accuracy": 0.9545550346374512,
757
+ "eval_loss": 0.17613738775253296,
758
+ "eval_runtime": 565.847,
759
+ "eval_samples_per_second": 8.4,
760
+ "eval_steps_per_second": 2.101,
761
+ "step": 470
762
+ },
763
+ {
764
+ "epoch": 0.20197769829581316,
765
+ "grad_norm": 0.30841195583343506,
766
+ "learning_rate": 6.363636363636363e-05,
767
+ "loss": 0.1226,
768
+ "step": 480
769
+ },
770
+ {
771
+ "epoch": 0.20197769829581316,
772
+ "eval_accuracy": 0.954344630241394,
773
+ "eval_loss": 0.1746922880411148,
774
+ "eval_runtime": 566.983,
775
+ "eval_samples_per_second": 8.383,
776
+ "eval_steps_per_second": 2.097,
777
+ "step": 480
778
+ },
779
+ {
780
+ "epoch": 0.20618556701030927,
781
+ "grad_norm": 0.17474113404750824,
782
+ "learning_rate": 5.4545454545454546e-05,
783
+ "loss": 0.0502,
784
+ "step": 490
785
+ },
786
+ {
787
+ "epoch": 0.20618556701030927,
788
+ "eval_accuracy": 0.9596044421195984,
789
+ "eval_loss": 0.16830527782440186,
790
+ "eval_runtime": 566.0043,
791
+ "eval_samples_per_second": 8.397,
792
+ "eval_steps_per_second": 2.101,
793
+ "step": 490
794
+ },
795
+ {
796
+ "epoch": 0.2103934357248054,
797
+ "grad_norm": 0.19428321719169617,
798
+ "learning_rate": 4.545454545454546e-05,
799
+ "loss": 0.0346,
800
+ "step": 500
801
+ },
802
+ {
803
+ "epoch": 0.2103934357248054,
804
+ "eval_accuracy": 0.9585524797439575,
805
+ "eval_loss": 0.17505739629268646,
806
+ "eval_runtime": 564.2226,
807
+ "eval_samples_per_second": 8.424,
808
+ "eval_steps_per_second": 2.107,
809
+ "step": 500
810
+ },
811
+ {
812
+ "epoch": 0.2146013044393015,
813
+ "grad_norm": 0.13528193533420563,
814
+ "learning_rate": 3.6363636363636364e-05,
815
+ "loss": 0.0168,
816
+ "step": 510
817
+ },
818
+ {
819
+ "epoch": 0.2146013044393015,
820
+ "eval_accuracy": 0.958131730556488,
821
+ "eval_loss": 0.18199646472930908,
822
+ "eval_runtime": 563.8378,
823
+ "eval_samples_per_second": 8.43,
824
+ "eval_steps_per_second": 2.109,
825
+ "step": 510
826
+ },
827
+ {
828
+ "epoch": 0.2188091731537976,
829
+ "grad_norm": 0.03537715971469879,
830
+ "learning_rate": 2.7272727272727273e-05,
831
+ "loss": 0.1428,
832
+ "step": 520
833
+ },
834
+ {
835
+ "epoch": 0.2188091731537976,
836
+ "eval_accuracy": 0.9562381505966187,
837
+ "eval_loss": 0.1906786561012268,
838
+ "eval_runtime": 567.1515,
839
+ "eval_samples_per_second": 8.38,
840
+ "eval_steps_per_second": 2.096,
841
+ "step": 520
842
+ },
843
+ {
844
+ "epoch": 0.22301704186829371,
845
+ "grad_norm": 0.5100229978561401,
846
+ "learning_rate": 1.8181818181818182e-05,
847
+ "loss": 0.0336,
848
+ "step": 530
849
+ },
850
+ {
851
+ "epoch": 0.22301704186829371,
852
+ "eval_accuracy": 0.9503471255302429,
853
+ "eval_loss": 0.2207876741886139,
854
+ "eval_runtime": 564.0513,
855
+ "eval_samples_per_second": 8.427,
856
+ "eval_steps_per_second": 2.108,
857
+ "step": 530
858
+ },
859
+ {
860
+ "epoch": 0.22722491058278982,
861
+ "grad_norm": 5.639271259307861,
862
+ "learning_rate": 9.090909090909091e-06,
863
+ "loss": 0.1161,
864
+ "step": 540
865
+ },
866
+ {
867
+ "epoch": 0.22722491058278982,
868
+ "eval_accuracy": 0.9488744139671326,
869
+ "eval_loss": 0.2279575914144516,
870
+ "eval_runtime": 564.6939,
871
+ "eval_samples_per_second": 8.417,
872
+ "eval_steps_per_second": 2.106,
873
+ "step": 540
874
+ },
875
+ {
876
+ "epoch": 0.23143277929728592,
877
+ "grad_norm": 0.09282880276441574,
878
+ "learning_rate": 0.0,
879
+ "loss": 0.0377,
880
+ "step": 550
881
+ },
882
+ {
883
+ "epoch": 0.23143277929728592,
884
+ "eval_accuracy": 0.9495055675506592,
885
+ "eval_loss": 0.22491338849067688,
886
+ "eval_runtime": 556.6035,
887
+ "eval_samples_per_second": 8.539,
888
+ "eval_steps_per_second": 2.136,
889
+ "step": 550
890
+ }
891
+ ],
892
+ "logging_steps": 10,
893
+ "max_steps": 550,
894
+ "num_input_tokens_seen": 0,
895
+ "num_train_epochs": 1,
896
+ "save_steps": 10,
897
+ "stateful_callbacks": {
898
+ "TrainerControl": {
899
+ "args": {
900
+ "should_epoch_stop": false,
901
+ "should_evaluate": false,
902
+ "should_log": false,
903
+ "should_save": true,
904
+ "should_training_stop": true
905
+ },
906
+ "attributes": {}
907
+ }
908
+ },
909
+ "total_flos": 6.208452205931052e+17,
910
+ "train_batch_size": 4,
911
+ "trial_name": null,
912
+ "trial_params": null
913
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b22510bd5c536935aa1df4a61597c3aefca6b79bd8643603be4f076f18d9857
3
+ size 5112
vocab.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"<pad>": 0, "<s>": 1, "</s>": 2, "<unk>": 3, "|": 4, "'": 5, "-": 6, "a": 7, "b": 8, "c": 9, "d": 10, "e": 11, "f": 12, "g": 13, "h": 14, "i": 15, "j": 16, "k": 17, "l": 18, "m": 19, "n": 20, "o": 21, "p": 22, "q": 23, "r": 24, "s": 25, "t": 26, "u": 27, "v": 28, "w": 29, "x": 30, "y": 31, "z": 32}