lca0503 commited on
Commit
d73e154
1 Parent(s): eebefa0

Upload folder using huggingface_hub

Browse files
added_tokens.json ADDED
The diff for this file is too large to render. See raw diff
 
config.json ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "voidful/bart-base-unit",
3
+ "activation_dropout": 0.1,
4
+ "activation_function": "gelu",
5
+ "add_bias_logits": false,
6
+ "add_final_layer_norm": false,
7
+ "architectures": [
8
+ "BartForConditionalGeneration"
9
+ ],
10
+ "attention_dropout": 0.1,
11
+ "bos_token_id": 0,
12
+ "classif_dropout": 0.1,
13
+ "classifier_dropout": 0.0,
14
+ "d_model": 768,
15
+ "decoder_attention_heads": 12,
16
+ "decoder_ffn_dim": 3072,
17
+ "decoder_layerdrop": 0.0,
18
+ "decoder_layers": 6,
19
+ "decoder_start_token_id": 2,
20
+ "dropout": 0.1,
21
+ "early_stopping": true,
22
+ "encoder_attention_heads": 12,
23
+ "encoder_ffn_dim": 3072,
24
+ "encoder_layerdrop": 0.0,
25
+ "encoder_layers": 6,
26
+ "eos_token_id": 2,
27
+ "forced_bos_token_id": 0,
28
+ "forced_eos_token_id": 2,
29
+ "gradient_checkpointing": false,
30
+ "id2label": {
31
+ "0": "LABEL_0",
32
+ "1": "LABEL_1",
33
+ "2": "LABEL_2"
34
+ },
35
+ "init_std": 0.02,
36
+ "is_encoder_decoder": true,
37
+ "label2id": {
38
+ "LABEL_0": 0,
39
+ "LABEL_1": 1,
40
+ "LABEL_2": 2
41
+ },
42
+ "max_position_embeddings": 1024,
43
+ "model_type": "bart",
44
+ "no_repeat_ngram_size": 3,
45
+ "normalize_before": false,
46
+ "normalize_embedding": true,
47
+ "num_beams": 4,
48
+ "num_hidden_layers": 6,
49
+ "pad_token_id": 1,
50
+ "scale_embedding": false,
51
+ "task_specific_params": {
52
+ "summarization": {
53
+ "length_penalty": 1.0,
54
+ "max_length": 128,
55
+ "min_length": 12,
56
+ "num_beams": 4
57
+ },
58
+ "summarization_cnn": {
59
+ "length_penalty": 2.0,
60
+ "max_length": 142,
61
+ "min_length": 56,
62
+ "num_beams": 4
63
+ },
64
+ "summarization_xsum": {
65
+ "length_penalty": 1.0,
66
+ "max_length": 62,
67
+ "min_length": 11,
68
+ "num_beams": 6
69
+ }
70
+ },
71
+ "torch_dtype": "float32",
72
+ "transformers_version": "4.27.3",
73
+ "use_cache": true,
74
+ "vocab_size": 59481
75
+ }
generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 0,
3
+ "decoder_start_token_id": 2,
4
+ "early_stopping": true,
5
+ "eos_token_id": 2,
6
+ "forced_bos_token_id": 0,
7
+ "forced_eos_token_id": 2,
8
+ "no_repeat_ngram_size": 3,
9
+ "num_beams": 4,
10
+ "pad_token_id": 1,
11
+ "transformers_version": "4.27.3"
12
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09fa73e2c7b84135da0819cb3361ad29ed2a0d4133676d43e0e1f27fbe7eae32
3
+ size 1172138949
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3aae6b0de46d0a627b0d56586c1f74c2280b9728d454b35bcca69d1eb87dcfef
3
+ size 586319645
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8cdf02ff2b94ffef909b1acbcaa810beab6bba3d6fbcf672e6bd8d38024c7ad7
3
+ size 14575
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c216b88b94b8ee1ba153e4fb1108af5133b16dded5ecff8c628612c2cdcbaa0
3
+ size 557
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57d33ee3ba84428f73b94c45c4b6650bef0e76d8131fe686577c80d9f8ac7c23
3
+ size 627
special_tokens_map.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "cls_token": "<s>",
4
+ "eos_token": "</s>",
5
+ "mask_token": {
6
+ "content": "<mask>",
7
+ "lstrip": true,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "pad_token": "<pad>",
13
+ "sep_token": "</s>",
14
+ "unk_token": "<unk>"
15
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "bos_token": "<s>",
4
+ "cls_token": "<s>",
5
+ "eos_token": "</s>",
6
+ "errors": "replace",
7
+ "mask_token": "<mask>",
8
+ "model_max_length": 1024,
9
+ "pad_token": "<pad>",
10
+ "sep_token": "</s>",
11
+ "special_tokens_map_file": null,
12
+ "tokenizer_class": "BartTokenizer",
13
+ "trim_offsets": true,
14
+ "unk_token": "<unk>"
15
+ }
trainer_state.json ADDED
@@ -0,0 +1,1051 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 9.784097580066533,
5
+ "global_step": 75000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.07,
12
+ "learning_rate": 8.072407045009784e-06,
13
+ "loss": 6.7755,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.13,
18
+ "learning_rate": 1.622635355512068e-05,
19
+ "loss": 4.3924,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.2,
24
+ "learning_rate": 2.4380300065231574e-05,
25
+ "loss": 3.9807,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.26,
30
+ "learning_rate": 3.253424657534247e-05,
31
+ "loss": 3.7959,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.33,
36
+ "learning_rate": 4.068819308545336e-05,
37
+ "loss": 3.6875,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.39,
42
+ "learning_rate": 4.884213959556426e-05,
43
+ "loss": 3.6157,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.46,
48
+ "learning_rate": 5.699608610567515e-05,
49
+ "loss": 3.5719,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.52,
54
+ "learning_rate": 6.515003261578603e-05,
55
+ "loss": 3.5222,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.59,
60
+ "learning_rate": 7.330397912589694e-05,
61
+ "loss": 3.498,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.65,
66
+ "learning_rate": 8.145792563600784e-05,
67
+ "loss": 3.4647,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.65,
72
+ "eval_loss": 3.4406068325042725,
73
+ "eval_runtime": 5633.1588,
74
+ "eval_samples_per_second": 0.432,
75
+ "eval_steps_per_second": 0.054,
76
+ "eval_wer": 1.15852260825739,
77
+ "step": 5000
78
+ },
79
+ {
80
+ "epoch": 0.72,
81
+ "learning_rate": 8.961187214611873e-05,
82
+ "loss": 3.4349,
83
+ "step": 5500
84
+ },
85
+ {
86
+ "epoch": 0.78,
87
+ "learning_rate": 9.776581865622962e-05,
88
+ "loss": 3.4181,
89
+ "step": 6000
90
+ },
91
+ {
92
+ "epoch": 0.85,
93
+ "learning_rate": 9.948523781162257e-05,
94
+ "loss": 3.3879,
95
+ "step": 6500
96
+ },
97
+ {
98
+ "epoch": 0.91,
99
+ "learning_rate": 9.87761989846564e-05,
100
+ "loss": 3.3797,
101
+ "step": 7000
102
+ },
103
+ {
104
+ "epoch": 0.98,
105
+ "learning_rate": 9.806716015769025e-05,
106
+ "loss": 3.3632,
107
+ "step": 7500
108
+ },
109
+ {
110
+ "epoch": 1.04,
111
+ "learning_rate": 9.735812133072407e-05,
112
+ "loss": 3.3488,
113
+ "step": 8000
114
+ },
115
+ {
116
+ "epoch": 1.11,
117
+ "learning_rate": 9.664908250375791e-05,
118
+ "loss": 3.3378,
119
+ "step": 8500
120
+ },
121
+ {
122
+ "epoch": 1.17,
123
+ "learning_rate": 9.594004367679175e-05,
124
+ "loss": 3.3113,
125
+ "step": 9000
126
+ },
127
+ {
128
+ "epoch": 1.24,
129
+ "learning_rate": 9.523100484982558e-05,
130
+ "loss": 3.3031,
131
+ "step": 9500
132
+ },
133
+ {
134
+ "epoch": 1.3,
135
+ "learning_rate": 9.452338410051335e-05,
136
+ "loss": 3.2819,
137
+ "step": 10000
138
+ },
139
+ {
140
+ "epoch": 1.3,
141
+ "eval_loss": 3.261105537414551,
142
+ "eval_runtime": 7279.2824,
143
+ "eval_samples_per_second": 0.334,
144
+ "eval_steps_per_second": 0.042,
145
+ "eval_wer": 1.7922252072031033,
146
+ "step": 10000
147
+ },
148
+ {
149
+ "epoch": 1.37,
150
+ "learning_rate": 9.381434527354719e-05,
151
+ "loss": 3.2647,
152
+ "step": 10500
153
+ },
154
+ {
155
+ "epoch": 1.44,
156
+ "learning_rate": 9.310530644658103e-05,
157
+ "loss": 3.2264,
158
+ "step": 11000
159
+ },
160
+ {
161
+ "epoch": 1.5,
162
+ "learning_rate": 9.239626761961485e-05,
163
+ "loss": 3.2075,
164
+ "step": 11500
165
+ },
166
+ {
167
+ "epoch": 1.57,
168
+ "learning_rate": 9.168722879264869e-05,
169
+ "loss": 3.1744,
170
+ "step": 12000
171
+ },
172
+ {
173
+ "epoch": 1.63,
174
+ "learning_rate": 9.097818996568253e-05,
175
+ "loss": 3.1484,
176
+ "step": 12500
177
+ },
178
+ {
179
+ "epoch": 1.7,
180
+ "learning_rate": 9.026915113871636e-05,
181
+ "loss": 3.1259,
182
+ "step": 13000
183
+ },
184
+ {
185
+ "epoch": 1.76,
186
+ "learning_rate": 8.95601123117502e-05,
187
+ "loss": 3.1157,
188
+ "step": 13500
189
+ },
190
+ {
191
+ "epoch": 1.83,
192
+ "learning_rate": 8.885107348478403e-05,
193
+ "loss": 3.1022,
194
+ "step": 14000
195
+ },
196
+ {
197
+ "epoch": 1.89,
198
+ "learning_rate": 8.814203465781786e-05,
199
+ "loss": 3.0838,
200
+ "step": 14500
201
+ },
202
+ {
203
+ "epoch": 1.96,
204
+ "learning_rate": 8.74329958308517e-05,
205
+ "loss": 3.0741,
206
+ "step": 15000
207
+ },
208
+ {
209
+ "epoch": 1.96,
210
+ "eval_loss": 3.0150177478790283,
211
+ "eval_runtime": 7749.0478,
212
+ "eval_samples_per_second": 0.314,
213
+ "eval_steps_per_second": 0.039,
214
+ "eval_wer": 1.6811482450050355,
215
+ "step": 15000
216
+ },
217
+ {
218
+ "epoch": 2.02,
219
+ "learning_rate": 8.672395700388554e-05,
220
+ "loss": 3.0585,
221
+ "step": 15500
222
+ },
223
+ {
224
+ "epoch": 2.09,
225
+ "learning_rate": 8.601491817691936e-05,
226
+ "loss": 3.0499,
227
+ "step": 16000
228
+ },
229
+ {
230
+ "epoch": 2.15,
231
+ "learning_rate": 8.530729742760714e-05,
232
+ "loss": 3.0364,
233
+ "step": 16500
234
+ },
235
+ {
236
+ "epoch": 2.22,
237
+ "learning_rate": 8.459825860064097e-05,
238
+ "loss": 3.0311,
239
+ "step": 17000
240
+ },
241
+ {
242
+ "epoch": 2.28,
243
+ "learning_rate": 8.388921977367481e-05,
244
+ "loss": 3.0206,
245
+ "step": 17500
246
+ },
247
+ {
248
+ "epoch": 2.35,
249
+ "learning_rate": 8.318018094670864e-05,
250
+ "loss": 3.0151,
251
+ "step": 18000
252
+ },
253
+ {
254
+ "epoch": 2.41,
255
+ "learning_rate": 8.247114211974248e-05,
256
+ "loss": 3.015,
257
+ "step": 18500
258
+ },
259
+ {
260
+ "epoch": 2.48,
261
+ "learning_rate": 8.176352137043025e-05,
262
+ "loss": 3.0009,
263
+ "step": 19000
264
+ },
265
+ {
266
+ "epoch": 2.54,
267
+ "learning_rate": 8.105448254346409e-05,
268
+ "loss": 2.9991,
269
+ "step": 19500
270
+ },
271
+ {
272
+ "epoch": 2.61,
273
+ "learning_rate": 8.034544371649792e-05,
274
+ "loss": 2.9897,
275
+ "step": 20000
276
+ },
277
+ {
278
+ "epoch": 2.61,
279
+ "eval_loss": 2.9467122554779053,
280
+ "eval_runtime": 7497.8191,
281
+ "eval_samples_per_second": 0.324,
282
+ "eval_steps_per_second": 0.041,
283
+ "eval_wer": 1.880129997594331,
284
+ "step": 20000
285
+ },
286
+ {
287
+ "epoch": 2.67,
288
+ "learning_rate": 7.963640488953175e-05,
289
+ "loss": 2.9933,
290
+ "step": 20500
291
+ },
292
+ {
293
+ "epoch": 2.74,
294
+ "learning_rate": 7.89273660625656e-05,
295
+ "loss": 2.9868,
296
+ "step": 21000
297
+ },
298
+ {
299
+ "epoch": 2.8,
300
+ "learning_rate": 7.821832723559942e-05,
301
+ "loss": 2.9774,
302
+ "step": 21500
303
+ },
304
+ {
305
+ "epoch": 2.87,
306
+ "learning_rate": 7.750928840863326e-05,
307
+ "loss": 2.9887,
308
+ "step": 22000
309
+ },
310
+ {
311
+ "epoch": 2.94,
312
+ "learning_rate": 7.68002495816671e-05,
313
+ "loss": 2.9771,
314
+ "step": 22500
315
+ },
316
+ {
317
+ "epoch": 3.0,
318
+ "learning_rate": 7.609121075470092e-05,
319
+ "loss": 2.9693,
320
+ "step": 23000
321
+ },
322
+ {
323
+ "epoch": 3.07,
324
+ "learning_rate": 7.538500808304263e-05,
325
+ "loss": 2.9536,
326
+ "step": 23500
327
+ },
328
+ {
329
+ "epoch": 3.13,
330
+ "learning_rate": 7.467596925607647e-05,
331
+ "loss": 2.9497,
332
+ "step": 24000
333
+ },
334
+ {
335
+ "epoch": 3.2,
336
+ "learning_rate": 7.39669304291103e-05,
337
+ "loss": 2.9556,
338
+ "step": 24500
339
+ },
340
+ {
341
+ "epoch": 3.26,
342
+ "learning_rate": 7.325930967979807e-05,
343
+ "loss": 2.9472,
344
+ "step": 25000
345
+ },
346
+ {
347
+ "epoch": 3.26,
348
+ "eval_loss": 2.9073405265808105,
349
+ "eval_runtime": 7894.0702,
350
+ "eval_samples_per_second": 0.308,
351
+ "eval_steps_per_second": 0.039,
352
+ "eval_wer": 1.7444502680537224,
353
+ "step": 25000
354
+ },
355
+ {
356
+ "epoch": 3.33,
357
+ "learning_rate": 7.25502708528319e-05,
358
+ "loss": 2.9421,
359
+ "step": 25500
360
+ },
361
+ {
362
+ "epoch": 3.39,
363
+ "learning_rate": 7.184123202586573e-05,
364
+ "loss": 2.9412,
365
+ "step": 26000
366
+ },
367
+ {
368
+ "epoch": 3.46,
369
+ "learning_rate": 7.113219319889958e-05,
370
+ "loss": 2.9363,
371
+ "step": 26500
372
+ },
373
+ {
374
+ "epoch": 3.52,
375
+ "learning_rate": 7.042315437193341e-05,
376
+ "loss": 2.9404,
377
+ "step": 27000
378
+ },
379
+ {
380
+ "epoch": 3.59,
381
+ "learning_rate": 6.971411554496725e-05,
382
+ "loss": 2.9243,
383
+ "step": 27500
384
+ },
385
+ {
386
+ "epoch": 3.65,
387
+ "learning_rate": 6.900507671800109e-05,
388
+ "loss": 2.9242,
389
+ "step": 28000
390
+ },
391
+ {
392
+ "epoch": 3.72,
393
+ "learning_rate": 6.829603789103491e-05,
394
+ "loss": 2.9393,
395
+ "step": 28500
396
+ },
397
+ {
398
+ "epoch": 3.78,
399
+ "learning_rate": 6.758699906406875e-05,
400
+ "loss": 2.933,
401
+ "step": 29000
402
+ },
403
+ {
404
+ "epoch": 3.85,
405
+ "learning_rate": 6.687796023710259e-05,
406
+ "loss": 2.9206,
407
+ "step": 29500
408
+ },
409
+ {
410
+ "epoch": 3.91,
411
+ "learning_rate": 6.617033948779036e-05,
412
+ "loss": 2.9237,
413
+ "step": 30000
414
+ },
415
+ {
416
+ "epoch": 3.91,
417
+ "eval_loss": 2.881319999694824,
418
+ "eval_runtime": 8126.3615,
419
+ "eval_samples_per_second": 0.299,
420
+ "eval_steps_per_second": 0.037,
421
+ "eval_wer": 1.5856239783910557,
422
+ "step": 30000
423
+ },
424
+ {
425
+ "epoch": 3.98,
426
+ "learning_rate": 6.546130066082419e-05,
427
+ "loss": 2.9193,
428
+ "step": 30500
429
+ },
430
+ {
431
+ "epoch": 4.04,
432
+ "learning_rate": 6.475226183385803e-05,
433
+ "loss": 2.9006,
434
+ "step": 31000
435
+ },
436
+ {
437
+ "epoch": 4.11,
438
+ "learning_rate": 6.404322300689187e-05,
439
+ "loss": 2.9101,
440
+ "step": 31500
441
+ },
442
+ {
443
+ "epoch": 4.17,
444
+ "learning_rate": 6.333418417992569e-05,
445
+ "loss": 2.8993,
446
+ "step": 32000
447
+ },
448
+ {
449
+ "epoch": 4.24,
450
+ "learning_rate": 6.262514535295953e-05,
451
+ "loss": 2.9036,
452
+ "step": 32500
453
+ },
454
+ {
455
+ "epoch": 4.31,
456
+ "learning_rate": 6.191610652599337e-05,
457
+ "loss": 2.906,
458
+ "step": 33000
459
+ },
460
+ {
461
+ "epoch": 4.37,
462
+ "learning_rate": 6.12070676990272e-05,
463
+ "loss": 2.9025,
464
+ "step": 33500
465
+ },
466
+ {
467
+ "epoch": 4.44,
468
+ "learning_rate": 6.049802887206104e-05,
469
+ "loss": 2.9036,
470
+ "step": 34000
471
+ },
472
+ {
473
+ "epoch": 4.5,
474
+ "learning_rate": 5.9788990045094874e-05,
475
+ "loss": 2.8951,
476
+ "step": 34500
477
+ },
478
+ {
479
+ "epoch": 4.57,
480
+ "learning_rate": 5.907995121812871e-05,
481
+ "loss": 2.8923,
482
+ "step": 35000
483
+ },
484
+ {
485
+ "epoch": 4.57,
486
+ "eval_loss": 2.864828109741211,
487
+ "eval_runtime": 8189.637,
488
+ "eval_samples_per_second": 0.297,
489
+ "eval_steps_per_second": 0.037,
490
+ "eval_wer": 1.4885282519750724,
491
+ "step": 35000
492
+ },
493
+ {
494
+ "epoch": 4.63,
495
+ "learning_rate": 5.8370912391162546e-05,
496
+ "loss": 2.8938,
497
+ "step": 35500
498
+ },
499
+ {
500
+ "epoch": 4.7,
501
+ "learning_rate": 5.766187356419638e-05,
502
+ "loss": 2.8858,
503
+ "step": 36000
504
+ },
505
+ {
506
+ "epoch": 4.76,
507
+ "learning_rate": 5.6954252814884144e-05,
508
+ "loss": 2.8869,
509
+ "step": 36500
510
+ },
511
+ {
512
+ "epoch": 4.83,
513
+ "learning_rate": 5.6245213987917976e-05,
514
+ "loss": 2.883,
515
+ "step": 37000
516
+ },
517
+ {
518
+ "epoch": 4.89,
519
+ "learning_rate": 5.553617516095182e-05,
520
+ "loss": 2.8871,
521
+ "step": 37500
522
+ },
523
+ {
524
+ "epoch": 4.96,
525
+ "learning_rate": 5.4827136333985654e-05,
526
+ "loss": 2.8859,
527
+ "step": 38000
528
+ },
529
+ {
530
+ "epoch": 5.02,
531
+ "learning_rate": 5.411809750701948e-05,
532
+ "loss": 2.8822,
533
+ "step": 38500
534
+ },
535
+ {
536
+ "epoch": 5.09,
537
+ "learning_rate": 5.341047675770725e-05,
538
+ "loss": 2.8747,
539
+ "step": 39000
540
+ },
541
+ {
542
+ "epoch": 5.15,
543
+ "learning_rate": 5.270285600839502e-05,
544
+ "loss": 2.8729,
545
+ "step": 39500
546
+ },
547
+ {
548
+ "epoch": 5.22,
549
+ "learning_rate": 5.1993817181428863e-05,
550
+ "loss": 2.8692,
551
+ "step": 40000
552
+ },
553
+ {
554
+ "epoch": 5.22,
555
+ "eval_loss": 2.8506710529327393,
556
+ "eval_runtime": 8365.1128,
557
+ "eval_samples_per_second": 0.291,
558
+ "eval_steps_per_second": 0.036,
559
+ "eval_wer": 1.3797645737346684,
560
+ "step": 40000
561
+ },
562
+ {
563
+ "epoch": 5.28,
564
+ "learning_rate": 5.1284778354462696e-05,
565
+ "loss": 2.869,
566
+ "step": 40500
567
+ },
568
+ {
569
+ "epoch": 5.35,
570
+ "learning_rate": 5.057573952749652e-05,
571
+ "loss": 2.8641,
572
+ "step": 41000
573
+ },
574
+ {
575
+ "epoch": 5.41,
576
+ "learning_rate": 4.986670070053036e-05,
577
+ "loss": 2.8724,
578
+ "step": 41500
579
+ },
580
+ {
581
+ "epoch": 5.48,
582
+ "learning_rate": 4.91576618735642e-05,
583
+ "loss": 2.8617,
584
+ "step": 42000
585
+ },
586
+ {
587
+ "epoch": 5.54,
588
+ "learning_rate": 4.8450041124251965e-05,
589
+ "loss": 2.8586,
590
+ "step": 42500
591
+ },
592
+ {
593
+ "epoch": 5.61,
594
+ "learning_rate": 4.7741002297285804e-05,
595
+ "loss": 2.8655,
596
+ "step": 43000
597
+ },
598
+ {
599
+ "epoch": 5.67,
600
+ "learning_rate": 4.703196347031964e-05,
601
+ "loss": 2.866,
602
+ "step": 43500
603
+ },
604
+ {
605
+ "epoch": 5.74,
606
+ "learning_rate": 4.632292464335347e-05,
607
+ "loss": 2.8702,
608
+ "step": 44000
609
+ },
610
+ {
611
+ "epoch": 5.81,
612
+ "learning_rate": 4.561388581638731e-05,
613
+ "loss": 2.8603,
614
+ "step": 44500
615
+ },
616
+ {
617
+ "epoch": 5.87,
618
+ "learning_rate": 4.4906265067075074e-05,
619
+ "loss": 2.8652,
620
+ "step": 45000
621
+ },
622
+ {
623
+ "epoch": 5.87,
624
+ "eval_loss": 2.8389720916748047,
625
+ "eval_runtime": 8250.6574,
626
+ "eval_samples_per_second": 0.295,
627
+ "eval_steps_per_second": 0.037,
628
+ "eval_wer": 1.4632943395432523,
629
+ "step": 45000
630
+ },
631
+ {
632
+ "epoch": 5.94,
633
+ "learning_rate": 4.419722624010891e-05,
634
+ "loss": 2.8589,
635
+ "step": 45500
636
+ },
637
+ {
638
+ "epoch": 6.0,
639
+ "learning_rate": 4.3488187413142745e-05,
640
+ "loss": 2.8625,
641
+ "step": 46000
642
+ },
643
+ {
644
+ "epoch": 6.07,
645
+ "learning_rate": 4.2779148586176584e-05,
646
+ "loss": 2.8415,
647
+ "step": 46500
648
+ },
649
+ {
650
+ "epoch": 6.13,
651
+ "learning_rate": 4.207010975921042e-05,
652
+ "loss": 2.8463,
653
+ "step": 47000
654
+ },
655
+ {
656
+ "epoch": 6.2,
657
+ "learning_rate": 4.136107093224425e-05,
658
+ "loss": 2.8392,
659
+ "step": 47500
660
+ },
661
+ {
662
+ "epoch": 6.26,
663
+ "learning_rate": 4.065203210527809e-05,
664
+ "loss": 2.8471,
665
+ "step": 48000
666
+ },
667
+ {
668
+ "epoch": 6.33,
669
+ "learning_rate": 3.994299327831193e-05,
670
+ "loss": 2.8507,
671
+ "step": 48500
672
+ },
673
+ {
674
+ "epoch": 6.39,
675
+ "learning_rate": 3.923395445134575e-05,
676
+ "loss": 2.8451,
677
+ "step": 49000
678
+ },
679
+ {
680
+ "epoch": 6.46,
681
+ "learning_rate": 3.852491562437959e-05,
682
+ "loss": 2.8463,
683
+ "step": 49500
684
+ },
685
+ {
686
+ "epoch": 6.52,
687
+ "learning_rate": 3.781587679741343e-05,
688
+ "loss": 2.8477,
689
+ "step": 50000
690
+ },
691
+ {
692
+ "epoch": 6.52,
693
+ "eval_loss": 2.831930160522461,
694
+ "eval_runtime": 8120.4635,
695
+ "eval_samples_per_second": 0.299,
696
+ "eval_steps_per_second": 0.037,
697
+ "eval_wer": 1.360951876558997,
698
+ "step": 50000
699
+ },
700
+ {
701
+ "epoch": 6.59,
702
+ "learning_rate": 3.71082560481012e-05,
703
+ "loss": 2.8473,
704
+ "step": 50500
705
+ },
706
+ {
707
+ "epoch": 6.65,
708
+ "learning_rate": 3.639921722113503e-05,
709
+ "loss": 2.8373,
710
+ "step": 51000
711
+ },
712
+ {
713
+ "epoch": 6.72,
714
+ "learning_rate": 3.569017839416887e-05,
715
+ "loss": 2.8431,
716
+ "step": 51500
717
+ },
718
+ {
719
+ "epoch": 6.78,
720
+ "learning_rate": 3.49811395672027e-05,
721
+ "loss": 2.838,
722
+ "step": 52000
723
+ },
724
+ {
725
+ "epoch": 6.85,
726
+ "learning_rate": 3.427210074023653e-05,
727
+ "loss": 2.845,
728
+ "step": 52500
729
+ },
730
+ {
731
+ "epoch": 6.91,
732
+ "learning_rate": 3.356306191327037e-05,
733
+ "loss": 2.8389,
734
+ "step": 53000
735
+ },
736
+ {
737
+ "epoch": 6.98,
738
+ "learning_rate": 3.285402308630421e-05,
739
+ "loss": 2.8464,
740
+ "step": 53500
741
+ },
742
+ {
743
+ "epoch": 7.04,
744
+ "learning_rate": 3.214640233699198e-05,
745
+ "loss": 2.8313,
746
+ "step": 54000
747
+ },
748
+ {
749
+ "epoch": 7.11,
750
+ "learning_rate": 3.143736351002581e-05,
751
+ "loss": 2.8282,
752
+ "step": 54500
753
+ },
754
+ {
755
+ "epoch": 7.18,
756
+ "learning_rate": 3.072832468305965e-05,
757
+ "loss": 2.8333,
758
+ "step": 55000
759
+ },
760
+ {
761
+ "epoch": 7.18,
762
+ "eval_loss": 2.822190999984741,
763
+ "eval_runtime": 7683.7145,
764
+ "eval_samples_per_second": 0.317,
765
+ "eval_steps_per_second": 0.04,
766
+ "eval_wer": 1.1936536074515367,
767
+ "step": 55000
768
+ },
769
+ {
770
+ "epoch": 7.24,
771
+ "learning_rate": 3.001928585609348e-05,
772
+ "loss": 2.8288,
773
+ "step": 55500
774
+ },
775
+ {
776
+ "epoch": 7.31,
777
+ "learning_rate": 2.931024702912732e-05,
778
+ "loss": 2.8279,
779
+ "step": 56000
780
+ },
781
+ {
782
+ "epoch": 7.37,
783
+ "learning_rate": 2.860262627981509e-05,
784
+ "loss": 2.8291,
785
+ "step": 56500
786
+ },
787
+ {
788
+ "epoch": 7.44,
789
+ "learning_rate": 2.7893587452848917e-05,
790
+ "loss": 2.8336,
791
+ "step": 57000
792
+ },
793
+ {
794
+ "epoch": 7.5,
795
+ "learning_rate": 2.7184548625882757e-05,
796
+ "loss": 2.8292,
797
+ "step": 57500
798
+ },
799
+ {
800
+ "epoch": 7.57,
801
+ "learning_rate": 2.6475509798916592e-05,
802
+ "loss": 2.831,
803
+ "step": 58000
804
+ },
805
+ {
806
+ "epoch": 7.63,
807
+ "learning_rate": 2.5766470971950425e-05,
808
+ "loss": 2.8265,
809
+ "step": 58500
810
+ },
811
+ {
812
+ "epoch": 7.7,
813
+ "learning_rate": 2.505743214498426e-05,
814
+ "loss": 2.8229,
815
+ "step": 59000
816
+ },
817
+ {
818
+ "epoch": 7.76,
819
+ "learning_rate": 2.4348393318018096e-05,
820
+ "loss": 2.8232,
821
+ "step": 59500
822
+ },
823
+ {
824
+ "epoch": 7.83,
825
+ "learning_rate": 2.364077256870586e-05,
826
+ "loss": 2.8236,
827
+ "step": 60000
828
+ },
829
+ {
830
+ "epoch": 7.83,
831
+ "eval_loss": 2.8168787956237793,
832
+ "eval_runtime": 8146.3496,
833
+ "eval_samples_per_second": 0.299,
834
+ "eval_steps_per_second": 0.037,
835
+ "eval_wer": 1.3519813839639754,
836
+ "step": 60000
837
+ },
838
+ {
839
+ "epoch": 7.89,
840
+ "learning_rate": 2.29317337417397e-05,
841
+ "loss": 2.8204,
842
+ "step": 60500
843
+ },
844
+ {
845
+ "epoch": 7.96,
846
+ "learning_rate": 2.2222694914773533e-05,
847
+ "loss": 2.8284,
848
+ "step": 61000
849
+ },
850
+ {
851
+ "epoch": 8.02,
852
+ "learning_rate": 2.151365608780737e-05,
853
+ "loss": 2.8229,
854
+ "step": 61500
855
+ },
856
+ {
857
+ "epoch": 8.09,
858
+ "learning_rate": 2.0804617260841205e-05,
859
+ "loss": 2.8108,
860
+ "step": 62000
861
+ },
862
+ {
863
+ "epoch": 8.15,
864
+ "learning_rate": 2.009557843387504e-05,
865
+ "loss": 2.8219,
866
+ "step": 62500
867
+ },
868
+ {
869
+ "epoch": 8.22,
870
+ "learning_rate": 1.9386539606908873e-05,
871
+ "loss": 2.816,
872
+ "step": 63000
873
+ },
874
+ {
875
+ "epoch": 8.28,
876
+ "learning_rate": 1.867891885759664e-05,
877
+ "loss": 2.8139,
878
+ "step": 63500
879
+ },
880
+ {
881
+ "epoch": 8.35,
882
+ "learning_rate": 1.7969880030630477e-05,
883
+ "loss": 2.819,
884
+ "step": 64000
885
+ },
886
+ {
887
+ "epoch": 8.41,
888
+ "learning_rate": 1.7260841203664313e-05,
889
+ "loss": 2.8137,
890
+ "step": 64500
891
+ },
892
+ {
893
+ "epoch": 8.48,
894
+ "learning_rate": 1.655180237669815e-05,
895
+ "loss": 2.8151,
896
+ "step": 65000
897
+ },
898
+ {
899
+ "epoch": 8.48,
900
+ "eval_loss": 2.811957597732544,
901
+ "eval_runtime": 7992.8193,
902
+ "eval_samples_per_second": 0.304,
903
+ "eval_steps_per_second": 0.038,
904
+ "eval_wer": 1.2878607017052808,
905
+ "step": 65000
906
+ },
907
+ {
908
+ "epoch": 8.54,
909
+ "learning_rate": 1.5844181627385914e-05,
910
+ "loss": 2.8081,
911
+ "step": 65500
912
+ },
913
+ {
914
+ "epoch": 8.61,
915
+ "learning_rate": 1.5135142800419752e-05,
916
+ "loss": 2.8113,
917
+ "step": 66000
918
+ },
919
+ {
920
+ "epoch": 8.68,
921
+ "learning_rate": 1.4426103973453586e-05,
922
+ "loss": 2.8156,
923
+ "step": 66500
924
+ },
925
+ {
926
+ "epoch": 8.74,
927
+ "learning_rate": 1.3717065146487423e-05,
928
+ "loss": 2.8218,
929
+ "step": 67000
930
+ },
931
+ {
932
+ "epoch": 8.81,
933
+ "learning_rate": 1.3008026319521257e-05,
934
+ "loss": 2.8164,
935
+ "step": 67500
936
+ },
937
+ {
938
+ "epoch": 8.87,
939
+ "learning_rate": 1.2298987492555093e-05,
940
+ "loss": 2.8072,
941
+ "step": 68000
942
+ },
943
+ {
944
+ "epoch": 8.94,
945
+ "learning_rate": 1.1589948665588929e-05,
946
+ "loss": 2.8064,
947
+ "step": 68500
948
+ },
949
+ {
950
+ "epoch": 9.0,
951
+ "learning_rate": 1.0880909838622763e-05,
952
+ "loss": 2.8106,
953
+ "step": 69000
954
+ },
955
+ {
956
+ "epoch": 9.07,
957
+ "learning_rate": 1.0171871011656599e-05,
958
+ "loss": 2.8085,
959
+ "step": 69500
960
+ },
961
+ {
962
+ "epoch": 9.13,
963
+ "learning_rate": 9.462832184690434e-06,
964
+ "loss": 2.8081,
965
+ "step": 70000
966
+ },
967
+ {
968
+ "epoch": 9.13,
969
+ "eval_loss": 2.808976888656616,
970
+ "eval_runtime": 8181.5451,
971
+ "eval_samples_per_second": 0.297,
972
+ "eval_steps_per_second": 0.037,
973
+ "eval_wer": 1.3355642940184824,
974
+ "step": 70000
975
+ },
976
+ {
977
+ "epoch": 9.2,
978
+ "learning_rate": 8.75379335772427e-06,
979
+ "loss": 2.8072,
980
+ "step": 70500
981
+ },
982
+ {
983
+ "epoch": 9.26,
984
+ "learning_rate": 8.044754530758104e-06,
985
+ "loss": 2.8064,
986
+ "step": 71000
987
+ },
988
+ {
989
+ "epoch": 9.33,
990
+ "learning_rate": 7.33571570379194e-06,
991
+ "loss": 2.8067,
992
+ "step": 71500
993
+ },
994
+ {
995
+ "epoch": 9.39,
996
+ "learning_rate": 6.628094954479708e-06,
997
+ "loss": 2.8033,
998
+ "step": 72000
999
+ },
1000
+ {
1001
+ "epoch": 9.46,
1002
+ "learning_rate": 5.919056127513543e-06,
1003
+ "loss": 2.8104,
1004
+ "step": 72500
1005
+ },
1006
+ {
1007
+ "epoch": 9.52,
1008
+ "learning_rate": 5.210017300547379e-06,
1009
+ "loss": 2.8062,
1010
+ "step": 73000
1011
+ },
1012
+ {
1013
+ "epoch": 9.59,
1014
+ "learning_rate": 4.502396551235146e-06,
1015
+ "loss": 2.7983,
1016
+ "step": 73500
1017
+ },
1018
+ {
1019
+ "epoch": 9.65,
1020
+ "learning_rate": 3.793357724268981e-06,
1021
+ "loss": 2.7966,
1022
+ "step": 74000
1023
+ },
1024
+ {
1025
+ "epoch": 9.72,
1026
+ "learning_rate": 3.0843188973028165e-06,
1027
+ "loss": 2.8003,
1028
+ "step": 74500
1029
+ },
1030
+ {
1031
+ "epoch": 9.78,
1032
+ "learning_rate": 2.375280070336652e-06,
1033
+ "loss": 2.8038,
1034
+ "step": 75000
1035
+ },
1036
+ {
1037
+ "epoch": 9.78,
1038
+ "eval_loss": 2.805771589279175,
1039
+ "eval_runtime": 8283.5766,
1040
+ "eval_samples_per_second": 0.294,
1041
+ "eval_steps_per_second": 0.037,
1042
+ "eval_wer": 1.3321451341000374,
1043
+ "step": 75000
1044
+ }
1045
+ ],
1046
+ "max_steps": 76650,
1047
+ "num_train_epochs": 10,
1048
+ "total_flos": 7.309582504377754e+17,
1049
+ "trial_name": null,
1050
+ "trial_params": null
1051
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c58d3582c52732ca3671408adb737f04572c28a3b0a3e3f288f1a61a5de97c27
3
+ size 3643
vocab.json ADDED
The diff for this file is too large to render. See raw diff