soba1911 commited on
Commit
e69357d
1 Parent(s): 8b53c3f

Upload 6 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": "4.41.0.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 sha256:0195e5a3176eddd58d1ed464a257315104f2aeefa32e2f1f973c03a2b6aa9d6d
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": 0.21670606776989756,
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": 0.003940110323089046,
13
+ "grad_norm": 2.0866503715515137,
14
+ "learning_rate": 0.0004909090909090909,
15
+ "loss": 0.4138,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.003940110323089046,
20
+ "eval_accuracy": 0.8983451724052429,
21
+ "eval_loss": 0.4887285530567169,
22
+ "eval_runtime": 644.3572,
23
+ "eval_samples_per_second": 7.878,
24
+ "eval_steps_per_second": 1.969,
25
+ "step": 10
26
+ },
27
+ {
28
+ "epoch": 0.007880220646178092,
29
+ "grad_norm": 0.8669756650924683,
30
+ "learning_rate": 0.00048181818181818184,
31
+ "loss": 0.4995,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.007880220646178092,
36
+ "eval_accuracy": 0.8983451724052429,
37
+ "eval_loss": 0.38217219710350037,
38
+ "eval_runtime": 633.2128,
39
+ "eval_samples_per_second": 8.016,
40
+ "eval_steps_per_second": 2.004,
41
+ "step": 20
42
+ },
43
+ {
44
+ "epoch": 0.01182033096926714,
45
+ "grad_norm": 2.203610420227051,
46
+ "learning_rate": 0.0004727272727272727,
47
+ "loss": 0.382,
48
+ "step": 30
49
+ },
50
+ {
51
+ "epoch": 0.01182033096926714,
52
+ "eval_accuracy": 0.8983451724052429,
53
+ "eval_loss": 0.3638584017753601,
54
+ "eval_runtime": 642.1063,
55
+ "eval_samples_per_second": 7.905,
56
+ "eval_steps_per_second": 1.976,
57
+ "step": 30
58
+ },
59
+ {
60
+ "epoch": 0.015760441292356184,
61
+ "grad_norm": 0.812998354434967,
62
+ "learning_rate": 0.00046363636363636366,
63
+ "loss": 0.354,
64
+ "step": 40
65
+ },
66
+ {
67
+ "epoch": 0.015760441292356184,
68
+ "eval_accuracy": 0.8983451724052429,
69
+ "eval_loss": 0.3297870457172394,
70
+ "eval_runtime": 644.4864,
71
+ "eval_samples_per_second": 7.876,
72
+ "eval_steps_per_second": 1.969,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 0.019700551615445233,
77
+ "grad_norm": 0.6705520749092102,
78
+ "learning_rate": 0.00045454545454545455,
79
+ "loss": 0.521,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.019700551615445233,
84
+ "eval_accuracy": 0.8983451724052429,
85
+ "eval_loss": 0.38316452503204346,
86
+ "eval_runtime": 645.7523,
87
+ "eval_samples_per_second": 7.861,
88
+ "eval_steps_per_second": 1.965,
89
+ "step": 50
90
+ },
91
+ {
92
+ "epoch": 0.02364066193853428,
93
+ "grad_norm": 1.1547324657440186,
94
+ "learning_rate": 0.00044545454545454543,
95
+ "loss": 0.3344,
96
+ "step": 60
97
+ },
98
+ {
99
+ "epoch": 0.02364066193853428,
100
+ "eval_accuracy": 0.8983451724052429,
101
+ "eval_loss": 0.3688468039035797,
102
+ "eval_runtime": 647.1212,
103
+ "eval_samples_per_second": 7.844,
104
+ "eval_steps_per_second": 1.961,
105
+ "step": 60
106
+ },
107
+ {
108
+ "epoch": 0.027580772261623327,
109
+ "grad_norm": 0.7195687890052795,
110
+ "learning_rate": 0.00043636363636363637,
111
+ "loss": 0.3524,
112
+ "step": 70
113
+ },
114
+ {
115
+ "epoch": 0.027580772261623327,
116
+ "eval_accuracy": 0.8983451724052429,
117
+ "eval_loss": 0.33884838223457336,
118
+ "eval_runtime": 644.2281,
119
+ "eval_samples_per_second": 7.879,
120
+ "eval_steps_per_second": 1.97,
121
+ "step": 70
122
+ },
123
+ {
124
+ "epoch": 0.03152088258471237,
125
+ "grad_norm": 0.030797701328992844,
126
+ "learning_rate": 0.00042727272727272726,
127
+ "loss": 0.2702,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.03152088258471237,
132
+ "eval_accuracy": 0.8983451724052429,
133
+ "eval_loss": 0.32865411043167114,
134
+ "eval_runtime": 643.6443,
135
+ "eval_samples_per_second": 7.886,
136
+ "eval_steps_per_second": 1.972,
137
+ "step": 80
138
+ },
139
+ {
140
+ "epoch": 0.03546099290780142,
141
+ "grad_norm": 0.7822753190994263,
142
+ "learning_rate": 0.00041818181818181814,
143
+ "loss": 0.3767,
144
+ "step": 90
145
+ },
146
+ {
147
+ "epoch": 0.03546099290780142,
148
+ "eval_accuracy": 0.8983451724052429,
149
+ "eval_loss": 0.3282410800457001,
150
+ "eval_runtime": 647.7767,
151
+ "eval_samples_per_second": 7.836,
152
+ "eval_steps_per_second": 1.959,
153
+ "step": 90
154
+ },
155
+ {
156
+ "epoch": 0.039401103230890466,
157
+ "grad_norm": 0.7474893927574158,
158
+ "learning_rate": 0.00040909090909090913,
159
+ "loss": 0.2964,
160
+ "step": 100
161
+ },
162
+ {
163
+ "epoch": 0.039401103230890466,
164
+ "eval_accuracy": 0.8983451724052429,
165
+ "eval_loss": 0.3291880786418915,
166
+ "eval_runtime": 640.1347,
167
+ "eval_samples_per_second": 7.93,
168
+ "eval_steps_per_second": 1.982,
169
+ "step": 100
170
+ },
171
+ {
172
+ "epoch": 0.04334121355397951,
173
+ "grad_norm": 0.44683077931404114,
174
+ "learning_rate": 0.0004,
175
+ "loss": 0.3428,
176
+ "step": 110
177
+ },
178
+ {
179
+ "epoch": 0.04334121355397951,
180
+ "eval_accuracy": 0.8983451724052429,
181
+ "eval_loss": 0.33626437187194824,
182
+ "eval_runtime": 640.0811,
183
+ "eval_samples_per_second": 7.93,
184
+ "eval_steps_per_second": 1.983,
185
+ "step": 110
186
+ },
187
+ {
188
+ "epoch": 0.04728132387706856,
189
+ "grad_norm": 0.07774700969457626,
190
+ "learning_rate": 0.00039090909090909096,
191
+ "loss": 0.3215,
192
+ "step": 120
193
+ },
194
+ {
195
+ "epoch": 0.04728132387706856,
196
+ "eval_accuracy": 0.8983451724052429,
197
+ "eval_loss": 0.32750025391578674,
198
+ "eval_runtime": 641.6289,
199
+ "eval_samples_per_second": 7.911,
200
+ "eval_steps_per_second": 1.978,
201
+ "step": 120
202
+ },
203
+ {
204
+ "epoch": 0.0512214342001576,
205
+ "grad_norm": 0.8798918128013611,
206
+ "learning_rate": 0.00038181818181818184,
207
+ "loss": 0.3524,
208
+ "step": 130
209
+ },
210
+ {
211
+ "epoch": 0.0512214342001576,
212
+ "eval_accuracy": 0.8983451724052429,
213
+ "eval_loss": 0.3243106007575989,
214
+ "eval_runtime": 642.1452,
215
+ "eval_samples_per_second": 7.905,
216
+ "eval_steps_per_second": 1.976,
217
+ "step": 130
218
+ },
219
+ {
220
+ "epoch": 0.055161544523246654,
221
+ "grad_norm": 0.513219952583313,
222
+ "learning_rate": 0.00037272727272727273,
223
+ "loss": 0.3029,
224
+ "step": 140
225
+ },
226
+ {
227
+ "epoch": 0.055161544523246654,
228
+ "eval_accuracy": 0.8983451724052429,
229
+ "eval_loss": 0.33765551447868347,
230
+ "eval_runtime": 644.4577,
231
+ "eval_samples_per_second": 7.876,
232
+ "eval_steps_per_second": 1.969,
233
+ "step": 140
234
+ },
235
+ {
236
+ "epoch": 0.0591016548463357,
237
+ "grad_norm": 0.1864446997642517,
238
+ "learning_rate": 0.00036363636363636367,
239
+ "loss": 0.494,
240
+ "step": 150
241
+ },
242
+ {
243
+ "epoch": 0.0591016548463357,
244
+ "eval_accuracy": 0.8983451724052429,
245
+ "eval_loss": 0.3399695158004761,
246
+ "eval_runtime": 644.9312,
247
+ "eval_samples_per_second": 7.871,
248
+ "eval_steps_per_second": 1.968,
249
+ "step": 150
250
+ },
251
+ {
252
+ "epoch": 0.06304176516942474,
253
+ "grad_norm": 0.6781743168830872,
254
+ "learning_rate": 0.00035454545454545455,
255
+ "loss": 0.2655,
256
+ "step": 160
257
+ },
258
+ {
259
+ "epoch": 0.06304176516942474,
260
+ "eval_accuracy": 0.8983451724052429,
261
+ "eval_loss": 0.32840684056282043,
262
+ "eval_runtime": 638.0586,
263
+ "eval_samples_per_second": 7.955,
264
+ "eval_steps_per_second": 1.989,
265
+ "step": 160
266
+ },
267
+ {
268
+ "epoch": 0.06698187549251379,
269
+ "grad_norm": 0.4446357786655426,
270
+ "learning_rate": 0.00034545454545454544,
271
+ "loss": 0.3505,
272
+ "step": 170
273
+ },
274
+ {
275
+ "epoch": 0.06698187549251379,
276
+ "eval_accuracy": 0.8983451724052429,
277
+ "eval_loss": 0.34705930948257446,
278
+ "eval_runtime": 636.2641,
279
+ "eval_samples_per_second": 7.978,
280
+ "eval_steps_per_second": 1.994,
281
+ "step": 170
282
+ },
283
+ {
284
+ "epoch": 0.07092198581560284,
285
+ "grad_norm": 0.5605026483535767,
286
+ "learning_rate": 0.0003363636363636364,
287
+ "loss": 0.2416,
288
+ "step": 180
289
+ },
290
+ {
291
+ "epoch": 0.07092198581560284,
292
+ "eval_accuracy": 0.8983451724052429,
293
+ "eval_loss": 0.3337305784225464,
294
+ "eval_runtime": 637.842,
295
+ "eval_samples_per_second": 7.958,
296
+ "eval_steps_per_second": 1.99,
297
+ "step": 180
298
+ },
299
+ {
300
+ "epoch": 0.07486209613869188,
301
+ "grad_norm": 0.48381492495536804,
302
+ "learning_rate": 0.00032727272727272726,
303
+ "loss": 0.3361,
304
+ "step": 190
305
+ },
306
+ {
307
+ "epoch": 0.07486209613869188,
308
+ "eval_accuracy": 0.8983451724052429,
309
+ "eval_loss": 0.3374550938606262,
310
+ "eval_runtime": 630.1852,
311
+ "eval_samples_per_second": 8.055,
312
+ "eval_steps_per_second": 2.014,
313
+ "step": 190
314
+ },
315
+ {
316
+ "epoch": 0.07880220646178093,
317
+ "grad_norm": 0.20769913494586945,
318
+ "learning_rate": 0.0003181818181818182,
319
+ "loss": 0.3264,
320
+ "step": 200
321
+ },
322
+ {
323
+ "epoch": 0.07880220646178093,
324
+ "eval_accuracy": 0.8983451724052429,
325
+ "eval_loss": 0.32236042618751526,
326
+ "eval_runtime": 634.0108,
327
+ "eval_samples_per_second": 8.006,
328
+ "eval_steps_per_second": 2.002,
329
+ "step": 200
330
+ },
331
+ {
332
+ "epoch": 0.08274231678486997,
333
+ "grad_norm": 0.5153699517250061,
334
+ "learning_rate": 0.0003090909090909091,
335
+ "loss": 0.1682,
336
+ "step": 210
337
+ },
338
+ {
339
+ "epoch": 0.08274231678486997,
340
+ "eval_accuracy": 0.8983451724052429,
341
+ "eval_loss": 0.3330242931842804,
342
+ "eval_runtime": 630.7179,
343
+ "eval_samples_per_second": 8.048,
344
+ "eval_steps_per_second": 2.012,
345
+ "step": 210
346
+ },
347
+ {
348
+ "epoch": 0.08668242710795902,
349
+ "grad_norm": 0.5939351916313171,
350
+ "learning_rate": 0.0003,
351
+ "loss": 0.3564,
352
+ "step": 220
353
+ },
354
+ {
355
+ "epoch": 0.08668242710795902,
356
+ "eval_accuracy": 0.8983451724052429,
357
+ "eval_loss": 0.3238199055194855,
358
+ "eval_runtime": 639.7513,
359
+ "eval_samples_per_second": 7.934,
360
+ "eval_steps_per_second": 1.984,
361
+ "step": 220
362
+ },
363
+ {
364
+ "epoch": 0.09062253743104808,
365
+ "grad_norm": 0.5458611845970154,
366
+ "learning_rate": 0.0002909090909090909,
367
+ "loss": 0.2441,
368
+ "step": 230
369
+ },
370
+ {
371
+ "epoch": 0.09062253743104808,
372
+ "eval_accuracy": 0.8983451724052429,
373
+ "eval_loss": 0.3024224638938904,
374
+ "eval_runtime": 640.3192,
375
+ "eval_samples_per_second": 7.927,
376
+ "eval_steps_per_second": 1.982,
377
+ "step": 230
378
+ },
379
+ {
380
+ "epoch": 0.09456264775413711,
381
+ "grad_norm": 4.142682075500488,
382
+ "learning_rate": 0.0002818181818181818,
383
+ "loss": 0.4017,
384
+ "step": 240
385
+ },
386
+ {
387
+ "epoch": 0.09456264775413711,
388
+ "eval_accuracy": 0.8983451724052429,
389
+ "eval_loss": 0.28254833817481995,
390
+ "eval_runtime": 639.8776,
391
+ "eval_samples_per_second": 7.933,
392
+ "eval_steps_per_second": 1.983,
393
+ "step": 240
394
+ },
395
+ {
396
+ "epoch": 0.09850275807722617,
397
+ "grad_norm": 0.83643639087677,
398
+ "learning_rate": 0.00027272727272727274,
399
+ "loss": 0.2683,
400
+ "step": 250
401
+ },
402
+ {
403
+ "epoch": 0.09850275807722617,
404
+ "eval_accuracy": 0.8983451724052429,
405
+ "eval_loss": 0.2727406322956085,
406
+ "eval_runtime": 637.4582,
407
+ "eval_samples_per_second": 7.963,
408
+ "eval_steps_per_second": 1.991,
409
+ "step": 250
410
+ },
411
+ {
412
+ "epoch": 0.1024428684003152,
413
+ "grad_norm": 2.7200253009796143,
414
+ "learning_rate": 0.0002636363636363636,
415
+ "loss": 0.3417,
416
+ "step": 260
417
+ },
418
+ {
419
+ "epoch": 0.1024428684003152,
420
+ "eval_accuracy": 0.8975571393966675,
421
+ "eval_loss": 0.2998380661010742,
422
+ "eval_runtime": 637.2677,
423
+ "eval_samples_per_second": 7.965,
424
+ "eval_steps_per_second": 1.991,
425
+ "step": 260
426
+ },
427
+ {
428
+ "epoch": 0.10638297872340426,
429
+ "grad_norm": 0.9870793223381042,
430
+ "learning_rate": 0.0002545454545454545,
431
+ "loss": 0.3689,
432
+ "step": 270
433
+ },
434
+ {
435
+ "epoch": 0.10638297872340426,
436
+ "eval_accuracy": 0.8983451724052429,
437
+ "eval_loss": 0.25626352429389954,
438
+ "eval_runtime": 638.6518,
439
+ "eval_samples_per_second": 7.948,
440
+ "eval_steps_per_second": 1.987,
441
+ "step": 270
442
+ },
443
+ {
444
+ "epoch": 0.11032308904649331,
445
+ "grad_norm": 0.7646285891532898,
446
+ "learning_rate": 0.00024545454545454545,
447
+ "loss": 0.3017,
448
+ "step": 280
449
+ },
450
+ {
451
+ "epoch": 0.11032308904649331,
452
+ "eval_accuracy": 0.8983451724052429,
453
+ "eval_loss": 0.2582588195800781,
454
+ "eval_runtime": 633.7229,
455
+ "eval_samples_per_second": 8.01,
456
+ "eval_steps_per_second": 2.002,
457
+ "step": 280
458
+ },
459
+ {
460
+ "epoch": 0.11426319936958235,
461
+ "grad_norm": 3.958172082901001,
462
+ "learning_rate": 0.00023636363636363636,
463
+ "loss": 0.3033,
464
+ "step": 290
465
+ },
466
+ {
467
+ "epoch": 0.11426319936958235,
468
+ "eval_accuracy": 0.8983451724052429,
469
+ "eval_loss": 0.2637666165828705,
470
+ "eval_runtime": 635.1066,
471
+ "eval_samples_per_second": 7.992,
472
+ "eval_steps_per_second": 1.998,
473
+ "step": 290
474
+ },
475
+ {
476
+ "epoch": 0.1182033096926714,
477
+ "grad_norm": 3.4462485313415527,
478
+ "learning_rate": 0.00022727272727272727,
479
+ "loss": 0.1859,
480
+ "step": 300
481
+ },
482
+ {
483
+ "epoch": 0.1182033096926714,
484
+ "eval_accuracy": 0.8983451724052429,
485
+ "eval_loss": 0.22763606905937195,
486
+ "eval_runtime": 635.7822,
487
+ "eval_samples_per_second": 7.984,
488
+ "eval_steps_per_second": 1.996,
489
+ "step": 300
490
+ },
491
+ {
492
+ "epoch": 0.12214342001576044,
493
+ "grad_norm": 0.9540772438049316,
494
+ "learning_rate": 0.00021818181818181818,
495
+ "loss": 0.2832,
496
+ "step": 310
497
+ },
498
+ {
499
+ "epoch": 0.12214342001576044,
500
+ "eval_accuracy": 0.8983451724052429,
501
+ "eval_loss": 0.1975635588169098,
502
+ "eval_runtime": 642.0949,
503
+ "eval_samples_per_second": 7.905,
504
+ "eval_steps_per_second": 1.976,
505
+ "step": 310
506
+ },
507
+ {
508
+ "epoch": 0.12608353033884948,
509
+ "grad_norm": 0.45892244577407837,
510
+ "learning_rate": 0.00020909090909090907,
511
+ "loss": 0.2679,
512
+ "step": 320
513
+ },
514
+ {
515
+ "epoch": 0.12608353033884948,
516
+ "eval_accuracy": 0.8983451724052429,
517
+ "eval_loss": 0.1894582062959671,
518
+ "eval_runtime": 642.7065,
519
+ "eval_samples_per_second": 7.898,
520
+ "eval_steps_per_second": 1.974,
521
+ "step": 320
522
+ },
523
+ {
524
+ "epoch": 0.13002364066193853,
525
+ "grad_norm": 0.4674457013607025,
526
+ "learning_rate": 0.0002,
527
+ "loss": 0.1966,
528
+ "step": 330
529
+ },
530
+ {
531
+ "epoch": 0.13002364066193853,
532
+ "eval_accuracy": 0.8983451724052429,
533
+ "eval_loss": 0.193992018699646,
534
+ "eval_runtime": 641.7924,
535
+ "eval_samples_per_second": 7.909,
536
+ "eval_steps_per_second": 1.977,
537
+ "step": 330
538
+ },
539
+ {
540
+ "epoch": 0.13396375098502758,
541
+ "grad_norm": 0.4076831638813019,
542
+ "learning_rate": 0.00019090909090909092,
543
+ "loss": 0.2063,
544
+ "step": 340
545
+ },
546
+ {
547
+ "epoch": 0.13396375098502758,
548
+ "eval_accuracy": 0.8983451724052429,
549
+ "eval_loss": 0.19286341965198517,
550
+ "eval_runtime": 639.6626,
551
+ "eval_samples_per_second": 7.935,
552
+ "eval_steps_per_second": 1.984,
553
+ "step": 340
554
+ },
555
+ {
556
+ "epoch": 0.13790386130811663,
557
+ "grad_norm": 0.5408686995506287,
558
+ "learning_rate": 0.00018181818181818183,
559
+ "loss": 0.2215,
560
+ "step": 350
561
+ },
562
+ {
563
+ "epoch": 0.13790386130811663,
564
+ "eval_accuracy": 0.8983451724052429,
565
+ "eval_loss": 0.17871853709220886,
566
+ "eval_runtime": 636.151,
567
+ "eval_samples_per_second": 7.979,
568
+ "eval_steps_per_second": 1.995,
569
+ "step": 350
570
+ },
571
+ {
572
+ "epoch": 0.14184397163120568,
573
+ "grad_norm": 3.9466795921325684,
574
+ "learning_rate": 0.00017272727272727272,
575
+ "loss": 0.2226,
576
+ "step": 360
577
+ },
578
+ {
579
+ "epoch": 0.14184397163120568,
580
+ "eval_accuracy": 0.8983451724052429,
581
+ "eval_loss": 0.22342762351036072,
582
+ "eval_runtime": 635.3665,
583
+ "eval_samples_per_second": 7.989,
584
+ "eval_steps_per_second": 1.997,
585
+ "step": 360
586
+ },
587
+ {
588
+ "epoch": 0.1457840819542947,
589
+ "grad_norm": 0.3433726131916046,
590
+ "learning_rate": 0.00016363636363636363,
591
+ "loss": 0.2688,
592
+ "step": 370
593
+ },
594
+ {
595
+ "epoch": 0.1457840819542947,
596
+ "eval_accuracy": 0.8358944058418274,
597
+ "eval_loss": 0.3028296232223511,
598
+ "eval_runtime": 626.8327,
599
+ "eval_samples_per_second": 8.098,
600
+ "eval_steps_per_second": 2.024,
601
+ "step": 370
602
+ },
603
+ {
604
+ "epoch": 0.14972419227738376,
605
+ "grad_norm": 0.269267201423645,
606
+ "learning_rate": 0.00015454545454545454,
607
+ "loss": 0.2317,
608
+ "step": 380
609
+ },
610
+ {
611
+ "epoch": 0.14972419227738376,
612
+ "eval_accuracy": 0.8861308097839355,
613
+ "eval_loss": 0.1874387264251709,
614
+ "eval_runtime": 634.1878,
615
+ "eval_samples_per_second": 8.004,
616
+ "eval_steps_per_second": 2.001,
617
+ "step": 380
618
+ },
619
+ {
620
+ "epoch": 0.1536643026004728,
621
+ "grad_norm": 0.16006210446357727,
622
+ "learning_rate": 0.00014545454545454546,
623
+ "loss": 0.2088,
624
+ "step": 390
625
+ },
626
+ {
627
+ "epoch": 0.1536643026004728,
628
+ "eval_accuracy": 0.8983451724052429,
629
+ "eval_loss": 0.2302139550447464,
630
+ "eval_runtime": 631.9364,
631
+ "eval_samples_per_second": 8.032,
632
+ "eval_steps_per_second": 2.008,
633
+ "step": 390
634
+ },
635
+ {
636
+ "epoch": 0.15760441292356187,
637
+ "grad_norm": 0.5244100093841553,
638
+ "learning_rate": 0.00013636363636363637,
639
+ "loss": 0.4595,
640
+ "step": 400
641
+ },
642
+ {
643
+ "epoch": 0.15760441292356187,
644
+ "eval_accuracy": 0.8983451724052429,
645
+ "eval_loss": 0.19357828795909882,
646
+ "eval_runtime": 642.9065,
647
+ "eval_samples_per_second": 7.895,
648
+ "eval_steps_per_second": 1.974,
649
+ "step": 400
650
+ },
651
+ {
652
+ "epoch": 0.16154452324665092,
653
+ "grad_norm": 0.5354598164558411,
654
+ "learning_rate": 0.00012727272727272725,
655
+ "loss": 0.15,
656
+ "step": 410
657
+ },
658
+ {
659
+ "epoch": 0.16154452324665092,
660
+ "eval_accuracy": 0.8983451724052429,
661
+ "eval_loss": 0.18797340989112854,
662
+ "eval_runtime": 640.1417,
663
+ "eval_samples_per_second": 7.929,
664
+ "eval_steps_per_second": 1.982,
665
+ "step": 410
666
+ },
667
+ {
668
+ "epoch": 0.16548463356973994,
669
+ "grad_norm": 0.2795056998729706,
670
+ "learning_rate": 0.00011818181818181818,
671
+ "loss": 0.1919,
672
+ "step": 420
673
+ },
674
+ {
675
+ "epoch": 0.16548463356973994,
676
+ "eval_accuracy": 0.8983451724052429,
677
+ "eval_loss": 0.1791592687368393,
678
+ "eval_runtime": 639.6272,
679
+ "eval_samples_per_second": 7.936,
680
+ "eval_steps_per_second": 1.984,
681
+ "step": 420
682
+ },
683
+ {
684
+ "epoch": 0.169424743892829,
685
+ "grad_norm": 0.2897014021873474,
686
+ "learning_rate": 0.00010909090909090909,
687
+ "loss": 0.3189,
688
+ "step": 430
689
+ },
690
+ {
691
+ "epoch": 0.169424743892829,
692
+ "eval_accuracy": 0.8983451724052429,
693
+ "eval_loss": 0.1778295636177063,
694
+ "eval_runtime": 637.1833,
695
+ "eval_samples_per_second": 7.966,
696
+ "eval_steps_per_second": 1.992,
697
+ "step": 430
698
+ },
699
+ {
700
+ "epoch": 0.17336485421591805,
701
+ "grad_norm": 0.08481621742248535,
702
+ "learning_rate": 0.0001,
703
+ "loss": 0.2422,
704
+ "step": 440
705
+ },
706
+ {
707
+ "epoch": 0.17336485421591805,
708
+ "eval_accuracy": 0.8983451724052429,
709
+ "eval_loss": 0.18217456340789795,
710
+ "eval_runtime": 639.7951,
711
+ "eval_samples_per_second": 7.934,
712
+ "eval_steps_per_second": 1.983,
713
+ "step": 440
714
+ },
715
+ {
716
+ "epoch": 0.1773049645390071,
717
+ "grad_norm": 0.3332684636116028,
718
+ "learning_rate": 9.090909090909092e-05,
719
+ "loss": 0.1599,
720
+ "step": 450
721
+ },
722
+ {
723
+ "epoch": 0.1773049645390071,
724
+ "eval_accuracy": 0.8983451724052429,
725
+ "eval_loss": 0.18780100345611572,
726
+ "eval_runtime": 641.5947,
727
+ "eval_samples_per_second": 7.912,
728
+ "eval_steps_per_second": 1.978,
729
+ "step": 450
730
+ },
731
+ {
732
+ "epoch": 0.18124507486209615,
733
+ "grad_norm": 0.5597277879714966,
734
+ "learning_rate": 8.181818181818182e-05,
735
+ "loss": 0.2962,
736
+ "step": 460
737
+ },
738
+ {
739
+ "epoch": 0.18124507486209615,
740
+ "eval_accuracy": 0.8983451724052429,
741
+ "eval_loss": 0.1818259209394455,
742
+ "eval_runtime": 638.6242,
743
+ "eval_samples_per_second": 7.948,
744
+ "eval_steps_per_second": 1.987,
745
+ "step": 460
746
+ },
747
+ {
748
+ "epoch": 0.18518518518518517,
749
+ "grad_norm": 0.9142216444015503,
750
+ "learning_rate": 7.272727272727273e-05,
751
+ "loss": 0.1295,
752
+ "step": 470
753
+ },
754
+ {
755
+ "epoch": 0.18518518518518517,
756
+ "eval_accuracy": 0.8983451724052429,
757
+ "eval_loss": 0.1787974089384079,
758
+ "eval_runtime": 642.4129,
759
+ "eval_samples_per_second": 7.901,
760
+ "eval_steps_per_second": 1.975,
761
+ "step": 470
762
+ },
763
+ {
764
+ "epoch": 0.18912529550827423,
765
+ "grad_norm": 0.5384683012962341,
766
+ "learning_rate": 6.363636363636363e-05,
767
+ "loss": 0.2327,
768
+ "step": 480
769
+ },
770
+ {
771
+ "epoch": 0.18912529550827423,
772
+ "eval_accuracy": 0.8983451724052429,
773
+ "eval_loss": 0.1720920354127884,
774
+ "eval_runtime": 637.6983,
775
+ "eval_samples_per_second": 7.96,
776
+ "eval_steps_per_second": 1.99,
777
+ "step": 480
778
+ },
779
+ {
780
+ "epoch": 0.19306540583136328,
781
+ "grad_norm": 0.3855592608451843,
782
+ "learning_rate": 5.4545454545454546e-05,
783
+ "loss": 0.2012,
784
+ "step": 490
785
+ },
786
+ {
787
+ "epoch": 0.19306540583136328,
788
+ "eval_accuracy": 0.8977541327476501,
789
+ "eval_loss": 0.17169128358364105,
790
+ "eval_runtime": 643.1115,
791
+ "eval_samples_per_second": 7.893,
792
+ "eval_steps_per_second": 1.973,
793
+ "step": 490
794
+ },
795
+ {
796
+ "epoch": 0.19700551615445233,
797
+ "grad_norm": 0.18903906643390656,
798
+ "learning_rate": 4.545454545454546e-05,
799
+ "loss": 0.2338,
800
+ "step": 500
801
+ },
802
+ {
803
+ "epoch": 0.19700551615445233,
804
+ "eval_accuracy": 0.8983451724052429,
805
+ "eval_loss": 0.16954948008060455,
806
+ "eval_runtime": 641.432,
807
+ "eval_samples_per_second": 7.914,
808
+ "eval_steps_per_second": 1.978,
809
+ "step": 500
810
+ },
811
+ {
812
+ "epoch": 0.20094562647754138,
813
+ "grad_norm": 0.5222665667533875,
814
+ "learning_rate": 3.6363636363636364e-05,
815
+ "loss": 0.261,
816
+ "step": 510
817
+ },
818
+ {
819
+ "epoch": 0.20094562647754138,
820
+ "eval_accuracy": 0.8983451724052429,
821
+ "eval_loss": 0.16886387765407562,
822
+ "eval_runtime": 644.6602,
823
+ "eval_samples_per_second": 7.874,
824
+ "eval_steps_per_second": 1.968,
825
+ "step": 510
826
+ },
827
+ {
828
+ "epoch": 0.2048857368006304,
829
+ "grad_norm": 0.1900663524866104,
830
+ "learning_rate": 2.7272727272727273e-05,
831
+ "loss": 0.2295,
832
+ "step": 520
833
+ },
834
+ {
835
+ "epoch": 0.2048857368006304,
836
+ "eval_accuracy": 0.8983451724052429,
837
+ "eval_loss": 0.16761720180511475,
838
+ "eval_runtime": 644.587,
839
+ "eval_samples_per_second": 7.875,
840
+ "eval_steps_per_second": 1.969,
841
+ "step": 520
842
+ },
843
+ {
844
+ "epoch": 0.20882584712371946,
845
+ "grad_norm": 0.7705594897270203,
846
+ "learning_rate": 1.8181818181818182e-05,
847
+ "loss": 0.2785,
848
+ "step": 530
849
+ },
850
+ {
851
+ "epoch": 0.20882584712371946,
852
+ "eval_accuracy": 0.8983451724052429,
853
+ "eval_loss": 0.16720621287822723,
854
+ "eval_runtime": 641.3858,
855
+ "eval_samples_per_second": 7.914,
856
+ "eval_steps_per_second": 1.979,
857
+ "step": 530
858
+ },
859
+ {
860
+ "epoch": 0.2127659574468085,
861
+ "grad_norm": 3.4368479251861572,
862
+ "learning_rate": 9.090909090909091e-06,
863
+ "loss": 0.2326,
864
+ "step": 540
865
+ },
866
+ {
867
+ "epoch": 0.2127659574468085,
868
+ "eval_accuracy": 0.8983451724052429,
869
+ "eval_loss": 0.1670488715171814,
870
+ "eval_runtime": 635.73,
871
+ "eval_samples_per_second": 7.985,
872
+ "eval_steps_per_second": 1.996,
873
+ "step": 540
874
+ },
875
+ {
876
+ "epoch": 0.21670606776989756,
877
+ "grad_norm": 0.17799390852451324,
878
+ "learning_rate": 0.0,
879
+ "loss": 0.2048,
880
+ "step": 550
881
+ },
882
+ {
883
+ "epoch": 0.21670606776989756,
884
+ "eval_accuracy": 0.8983451724052429,
885
+ "eval_loss": 0.1670481413602829,
886
+ "eval_runtime": 633.0482,
887
+ "eval_samples_per_second": 8.018,
888
+ "eval_steps_per_second": 2.005,
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": 6.667515335043259e+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 sha256:32af90907b81832e1a87ad82db557a2ce5369d3fc6bfdd4dd6c3384f8a03f340
3
+ size 5112