csdhbg commited on
Commit
5c5d13a
·
verified ·
1 Parent(s): 6ab32a0

Upload folder using huggingface_hub

Browse files
Files changed (8) hide show
  1. config.json +125 -0
  2. model.safetensors +3 -0
  3. optimizer.pt +3 -0
  4. rng_state.pth +3 -0
  5. scaler.pt +3 -0
  6. scheduler.pt +3 -0
  7. trainer_state.json +466 -0
  8. training_args.bin +3 -0
config.json ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation_dropout": 0.0,
3
+ "adapter_attn_dim": null,
4
+ "adapter_kernel_size": 3,
5
+ "adapter_stride": 2,
6
+ "add_adapter": false,
7
+ "apply_spec_augment": true,
8
+ "architectures": [
9
+ "Wav2Vec2ForAudioRegression"
10
+ ],
11
+ "attention_dropout": 0.1,
12
+ "bos_token_id": 1,
13
+ "classifier_proj_size": 256,
14
+ "codevector_dim": 768,
15
+ "contrastive_logits_temperature": 0.1,
16
+ "conv_bias": true,
17
+ "conv_dim": [
18
+ 512,
19
+ 512,
20
+ 512,
21
+ 512,
22
+ 512,
23
+ 512,
24
+ 512
25
+ ],
26
+ "conv_kernel": [
27
+ 10,
28
+ 3,
29
+ 3,
30
+ 3,
31
+ 3,
32
+ 2,
33
+ 2
34
+ ],
35
+ "conv_stride": [
36
+ 5,
37
+ 2,
38
+ 2,
39
+ 2,
40
+ 2,
41
+ 2,
42
+ 2
43
+ ],
44
+ "ctc_loss_reduction": "sum",
45
+ "ctc_zero_infinity": false,
46
+ "diversity_loss_weight": 0.1,
47
+ "do_stable_layer_norm": true,
48
+ "eos_token_id": 2,
49
+ "feat_extract_activation": "gelu",
50
+ "feat_extract_dropout": 0.0,
51
+ "feat_extract_norm": "layer",
52
+ "feat_proj_dropout": 0.1,
53
+ "feat_quantizer_dropout": 0.0,
54
+ "final_dropout": 0.0,
55
+ "finetuning_task": "wav2vec2_regression",
56
+ "gradient_checkpointing": false,
57
+ "hidden_act": "gelu",
58
+ "hidden_dropout": 0.1,
59
+ "hidden_size": 1024,
60
+ "id2label": {
61
+ "0": "LABEL_0"
62
+ },
63
+ "initializer_range": 0.02,
64
+ "intermediate_size": 4096,
65
+ "label2id": {
66
+ "LABEL_0": 0
67
+ },
68
+ "layer_norm_eps": 1e-05,
69
+ "layerdrop": 0.1,
70
+ "mask_channel_length": 10,
71
+ "mask_channel_min_space": 1,
72
+ "mask_channel_other": 0.0,
73
+ "mask_channel_prob": 0.0,
74
+ "mask_channel_selection": "static",
75
+ "mask_feature_length": 10,
76
+ "mask_feature_min_masks": 0,
77
+ "mask_feature_prob": 0.0,
78
+ "mask_time_length": 10,
79
+ "mask_time_min_masks": 2,
80
+ "mask_time_min_space": 1,
81
+ "mask_time_other": 0.0,
82
+ "mask_time_prob": 0.075,
83
+ "mask_time_selection": "static",
84
+ "model_type": "wav2vec2",
85
+ "num_adapter_layers": 3,
86
+ "num_attention_heads": 16,
87
+ "num_codevector_groups": 2,
88
+ "num_codevectors_per_group": 320,
89
+ "num_conv_pos_embedding_groups": 16,
90
+ "num_conv_pos_embeddings": 128,
91
+ "num_feat_extract_layers": 7,
92
+ "num_hidden_layers": 24,
93
+ "num_negatives": 100,
94
+ "output_hidden_size": 1024,
95
+ "pad_token_id": 0,
96
+ "pooling_mode": "mean",
97
+ "problem_type": "regression",
98
+ "proj_codevector_dim": 768,
99
+ "tdnn_dilation": [
100
+ 1,
101
+ 2,
102
+ 3,
103
+ 1,
104
+ 1
105
+ ],
106
+ "tdnn_dim": [
107
+ 512,
108
+ 512,
109
+ 512,
110
+ 512,
111
+ 1500
112
+ ],
113
+ "tdnn_kernel": [
114
+ 5,
115
+ 3,
116
+ 3,
117
+ 1,
118
+ 1
119
+ ],
120
+ "torch_dtype": "float32",
121
+ "transformers_version": "4.50.3",
122
+ "use_weighted_layer_sum": false,
123
+ "vocab_size": 32,
124
+ "xvector_output_dim": 512
125
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:beee9cad6447f1e9a6410044e00d0fe0568b2cc4a9356460241ab34066ed29cf
3
+ size 1266010204
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce7a8a06b9778a121f398462ad16ceca30c56dc97f39fb648557576f820cb63c
3
+ size 2532271440
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b152b9f7d7b48829a1b2299a92270be44656a04d72273f4b0c3578ffcd1b99f1
3
+ size 14244
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10afc989ad9dd0fec06ec057139942b34d77f6fd53e85d253a1f4f69c016339e
3
+ size 988
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5cfb1d7dd89b470d7bbf8ab8a7e5768ce4e98edd22662563aa48ac874be01776
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,466 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 17.88599348534202,
6
+ "eval_steps": 100,
7
+ "global_step": 2754,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.6514657980456026,
14
+ "grad_norm": 1.2638410329818726,
15
+ "learning_rate": 9.647785039941903e-05,
16
+ "loss": 0.0465,
17
+ "step": 100
18
+ },
19
+ {
20
+ "epoch": 0.6514657980456026,
21
+ "eval_loss": 0.03762375935912132,
22
+ "eval_mse": 0.03703753277659416,
23
+ "eval_runtime": 88.6656,
24
+ "eval_samples_per_second": 1.737,
25
+ "eval_steps_per_second": 0.868,
26
+ "step": 100
27
+ },
28
+ {
29
+ "epoch": 1.2996742671009773,
30
+ "grad_norm": 4.225351333618164,
31
+ "learning_rate": 9.284676833696442e-05,
32
+ "loss": 0.0309,
33
+ "step": 200
34
+ },
35
+ {
36
+ "epoch": 1.2996742671009773,
37
+ "eval_loss": 0.02817053347826004,
38
+ "eval_mse": 0.028493033722043037,
39
+ "eval_runtime": 89.1695,
40
+ "eval_samples_per_second": 1.727,
41
+ "eval_steps_per_second": 0.864,
42
+ "step": 200
43
+ },
44
+ {
45
+ "epoch": 1.9511400651465798,
46
+ "grad_norm": 0.3467458188533783,
47
+ "learning_rate": 8.921568627450981e-05,
48
+ "loss": 0.0299,
49
+ "step": 300
50
+ },
51
+ {
52
+ "epoch": 1.9511400651465798,
53
+ "eval_loss": 0.02852724678814411,
54
+ "eval_mse": 0.028662405908107758,
55
+ "eval_runtime": 89.7708,
56
+ "eval_samples_per_second": 1.715,
57
+ "eval_steps_per_second": 0.858,
58
+ "step": 300
59
+ },
60
+ {
61
+ "epoch": 2.5993485342019547,
62
+ "grad_norm": 0.9525694847106934,
63
+ "learning_rate": 8.55846042120552e-05,
64
+ "loss": 0.0294,
65
+ "step": 400
66
+ },
67
+ {
68
+ "epoch": 2.5993485342019547,
69
+ "eval_loss": 0.027554582804441452,
70
+ "eval_mse": 0.02786860242486,
71
+ "eval_runtime": 89.8297,
72
+ "eval_samples_per_second": 1.714,
73
+ "eval_steps_per_second": 0.857,
74
+ "step": 400
75
+ },
76
+ {
77
+ "epoch": 3.247557003257329,
78
+ "grad_norm": 5.774784564971924,
79
+ "learning_rate": 8.195352214960058e-05,
80
+ "loss": 0.0277,
81
+ "step": 500
82
+ },
83
+ {
84
+ "epoch": 3.247557003257329,
85
+ "eval_loss": 0.02871050126850605,
86
+ "eval_mse": 0.034602127969264984,
87
+ "eval_runtime": 89.8152,
88
+ "eval_samples_per_second": 1.715,
89
+ "eval_steps_per_second": 0.857,
90
+ "step": 500
91
+ },
92
+ {
93
+ "epoch": 3.8990228013029316,
94
+ "grad_norm": 0.9268798232078552,
95
+ "learning_rate": 7.832244008714598e-05,
96
+ "loss": 0.0292,
97
+ "step": 600
98
+ },
99
+ {
100
+ "epoch": 3.8990228013029316,
101
+ "eval_loss": 0.03371996432542801,
102
+ "eval_mse": 0.037180185317993164,
103
+ "eval_runtime": 90.195,
104
+ "eval_samples_per_second": 1.707,
105
+ "eval_steps_per_second": 0.854,
106
+ "step": 600
107
+ },
108
+ {
109
+ "epoch": 4.547231270358306,
110
+ "grad_norm": 0.12350838631391525,
111
+ "learning_rate": 7.469135802469136e-05,
112
+ "loss": 0.0272,
113
+ "step": 700
114
+ },
115
+ {
116
+ "epoch": 4.547231270358306,
117
+ "eval_loss": 0.025019396096467972,
118
+ "eval_mse": 0.02873270958662033,
119
+ "eval_runtime": 90.451,
120
+ "eval_samples_per_second": 1.703,
121
+ "eval_steps_per_second": 0.851,
122
+ "step": 700
123
+ },
124
+ {
125
+ "epoch": 5.195439739413681,
126
+ "grad_norm": 0.3085576593875885,
127
+ "learning_rate": 7.106027596223676e-05,
128
+ "loss": 0.0216,
129
+ "step": 800
130
+ },
131
+ {
132
+ "epoch": 5.195439739413681,
133
+ "eval_loss": 0.023245293647050858,
134
+ "eval_mse": 0.03596530482172966,
135
+ "eval_runtime": 90.2027,
136
+ "eval_samples_per_second": 1.707,
137
+ "eval_steps_per_second": 0.854,
138
+ "step": 800
139
+ },
140
+ {
141
+ "epoch": 5.846905537459284,
142
+ "grad_norm": 4.71547269821167,
143
+ "learning_rate": 6.742919389978214e-05,
144
+ "loss": 0.02,
145
+ "step": 900
146
+ },
147
+ {
148
+ "epoch": 5.846905537459284,
149
+ "eval_loss": 0.016941210255026817,
150
+ "eval_mse": 0.032546475529670715,
151
+ "eval_runtime": 90.1386,
152
+ "eval_samples_per_second": 1.708,
153
+ "eval_steps_per_second": 0.854,
154
+ "step": 900
155
+ },
156
+ {
157
+ "epoch": 6.495114006514658,
158
+ "grad_norm": 0.2343684285879135,
159
+ "learning_rate": 6.379811183732753e-05,
160
+ "loss": 0.0177,
161
+ "step": 1000
162
+ },
163
+ {
164
+ "epoch": 6.495114006514658,
165
+ "eval_loss": 0.021996306255459785,
166
+ "eval_mse": 0.031924955546855927,
167
+ "eval_runtime": 90.9876,
168
+ "eval_samples_per_second": 1.693,
169
+ "eval_steps_per_second": 0.846,
170
+ "step": 1000
171
+ },
172
+ {
173
+ "epoch": 7.143322475570033,
174
+ "grad_norm": 0.37635019421577454,
175
+ "learning_rate": 6.016702977487292e-05,
176
+ "loss": 0.0203,
177
+ "step": 1100
178
+ },
179
+ {
180
+ "epoch": 7.143322475570033,
181
+ "eval_loss": 0.03620931878685951,
182
+ "eval_mse": 0.05669161304831505,
183
+ "eval_runtime": 90.6862,
184
+ "eval_samples_per_second": 1.698,
185
+ "eval_steps_per_second": 0.849,
186
+ "step": 1100
187
+ },
188
+ {
189
+ "epoch": 7.7947882736156355,
190
+ "grad_norm": 0.4336552023887634,
191
+ "learning_rate": 5.65359477124183e-05,
192
+ "loss": 0.0172,
193
+ "step": 1200
194
+ },
195
+ {
196
+ "epoch": 7.7947882736156355,
197
+ "eval_loss": 0.019503405317664146,
198
+ "eval_mse": 0.04632864147424698,
199
+ "eval_runtime": 90.2807,
200
+ "eval_samples_per_second": 1.706,
201
+ "eval_steps_per_second": 0.853,
202
+ "step": 1200
203
+ },
204
+ {
205
+ "epoch": 8.44299674267101,
206
+ "grad_norm": 1.6894867420196533,
207
+ "learning_rate": 5.2904865649963685e-05,
208
+ "loss": 0.0159,
209
+ "step": 1300
210
+ },
211
+ {
212
+ "epoch": 8.44299674267101,
213
+ "eval_loss": 0.018114862963557243,
214
+ "eval_mse": 0.032530076801776886,
215
+ "eval_runtime": 90.5229,
216
+ "eval_samples_per_second": 1.701,
217
+ "eval_steps_per_second": 0.851,
218
+ "step": 1300
219
+ },
220
+ {
221
+ "epoch": 9.091205211726384,
222
+ "grad_norm": 1.3247390985488892,
223
+ "learning_rate": 4.927378358750908e-05,
224
+ "loss": 0.0183,
225
+ "step": 1400
226
+ },
227
+ {
228
+ "epoch": 9.091205211726384,
229
+ "eval_loss": 0.023152034729719162,
230
+ "eval_mse": 0.05892067402601242,
231
+ "eval_runtime": 90.2274,
232
+ "eval_samples_per_second": 1.707,
233
+ "eval_steps_per_second": 0.853,
234
+ "step": 1400
235
+ },
236
+ {
237
+ "epoch": 9.742671009771987,
238
+ "grad_norm": 0.23432166874408722,
239
+ "learning_rate": 4.564270152505447e-05,
240
+ "loss": 0.0167,
241
+ "step": 1500
242
+ },
243
+ {
244
+ "epoch": 9.742671009771987,
245
+ "eval_loss": 0.017632601782679558,
246
+ "eval_mse": 0.04079648479819298,
247
+ "eval_runtime": 90.49,
248
+ "eval_samples_per_second": 1.702,
249
+ "eval_steps_per_second": 0.851,
250
+ "step": 1500
251
+ },
252
+ {
253
+ "epoch": 10.390879478827362,
254
+ "grad_norm": 0.33277449011802673,
255
+ "learning_rate": 4.2011619462599856e-05,
256
+ "loss": 0.0181,
257
+ "step": 1600
258
+ },
259
+ {
260
+ "epoch": 10.390879478827362,
261
+ "eval_loss": 0.026499085128307343,
262
+ "eval_mse": 0.030374381691217422,
263
+ "eval_runtime": 90.526,
264
+ "eval_samples_per_second": 1.701,
265
+ "eval_steps_per_second": 0.851,
266
+ "step": 1600
267
+ },
268
+ {
269
+ "epoch": 11.039087947882736,
270
+ "grad_norm": 1.5499602556228638,
271
+ "learning_rate": 3.8380537400145246e-05,
272
+ "loss": 0.0178,
273
+ "step": 1700
274
+ },
275
+ {
276
+ "epoch": 11.039087947882736,
277
+ "eval_loss": 0.021473562344908714,
278
+ "eval_mse": 0.040922779589891434,
279
+ "eval_runtime": 90.8595,
280
+ "eval_samples_per_second": 1.695,
281
+ "eval_steps_per_second": 0.847,
282
+ "step": 1700
283
+ },
284
+ {
285
+ "epoch": 11.690553745928339,
286
+ "grad_norm": 0.8587289452552795,
287
+ "learning_rate": 3.474945533769064e-05,
288
+ "loss": 0.0164,
289
+ "step": 1800
290
+ },
291
+ {
292
+ "epoch": 11.690553745928339,
293
+ "eval_loss": 0.015354540199041367,
294
+ "eval_mse": 0.0399436429142952,
295
+ "eval_runtime": 90.1794,
296
+ "eval_samples_per_second": 1.708,
297
+ "eval_steps_per_second": 0.854,
298
+ "step": 1800
299
+ },
300
+ {
301
+ "epoch": 12.338762214983714,
302
+ "grad_norm": 0.19527116417884827,
303
+ "learning_rate": 3.111837327523602e-05,
304
+ "loss": 0.0144,
305
+ "step": 1900
306
+ },
307
+ {
308
+ "epoch": 12.338762214983714,
309
+ "eval_loss": 0.018714504316449165,
310
+ "eval_mse": 0.04291320964694023,
311
+ "eval_runtime": 90.7039,
312
+ "eval_samples_per_second": 1.698,
313
+ "eval_steps_per_second": 0.849,
314
+ "step": 1900
315
+ },
316
+ {
317
+ "epoch": 12.990228013029316,
318
+ "grad_norm": 0.3192684054374695,
319
+ "learning_rate": 2.7487291212781407e-05,
320
+ "loss": 0.015,
321
+ "step": 2000
322
+ },
323
+ {
324
+ "epoch": 12.990228013029316,
325
+ "eval_loss": 0.015104055404663086,
326
+ "eval_mse": 0.04015926271677017,
327
+ "eval_runtime": 90.635,
328
+ "eval_samples_per_second": 1.699,
329
+ "eval_steps_per_second": 0.85,
330
+ "step": 2000
331
+ },
332
+ {
333
+ "epoch": 13.63843648208469,
334
+ "grad_norm": 0.6388863921165466,
335
+ "learning_rate": 2.38562091503268e-05,
336
+ "loss": 0.0139,
337
+ "step": 2100
338
+ },
339
+ {
340
+ "epoch": 13.63843648208469,
341
+ "eval_loss": 0.016035696491599083,
342
+ "eval_mse": 0.04732033237814903,
343
+ "eval_runtime": 91.5121,
344
+ "eval_samples_per_second": 1.683,
345
+ "eval_steps_per_second": 0.841,
346
+ "step": 2100
347
+ },
348
+ {
349
+ "epoch": 14.286644951140065,
350
+ "grad_norm": 0.21684342622756958,
351
+ "learning_rate": 2.0225127087872185e-05,
352
+ "loss": 0.0145,
353
+ "step": 2200
354
+ },
355
+ {
356
+ "epoch": 14.286644951140065,
357
+ "eval_loss": 0.018462415784597397,
358
+ "eval_mse": 0.04823942109942436,
359
+ "eval_runtime": 90.3632,
360
+ "eval_samples_per_second": 1.704,
361
+ "eval_steps_per_second": 0.852,
362
+ "step": 2200
363
+ },
364
+ {
365
+ "epoch": 14.938110749185668,
366
+ "grad_norm": 1.060388445854187,
367
+ "learning_rate": 1.6594045025417575e-05,
368
+ "loss": 0.0138,
369
+ "step": 2300
370
+ },
371
+ {
372
+ "epoch": 14.938110749185668,
373
+ "eval_loss": 0.014556349255144596,
374
+ "eval_mse": 0.04120248183608055,
375
+ "eval_runtime": 90.4648,
376
+ "eval_samples_per_second": 1.702,
377
+ "eval_steps_per_second": 0.851,
378
+ "step": 2300
379
+ },
380
+ {
381
+ "epoch": 15.586319218241043,
382
+ "grad_norm": 0.5649324655532837,
383
+ "learning_rate": 1.2962962962962962e-05,
384
+ "loss": 0.0147,
385
+ "step": 2400
386
+ },
387
+ {
388
+ "epoch": 15.586319218241043,
389
+ "eval_loss": 0.016257289797067642,
390
+ "eval_mse": 0.04343423992395401,
391
+ "eval_runtime": 90.5146,
392
+ "eval_samples_per_second": 1.701,
393
+ "eval_steps_per_second": 0.851,
394
+ "step": 2400
395
+ },
396
+ {
397
+ "epoch": 16.234527687296417,
398
+ "grad_norm": 0.2803210914134979,
399
+ "learning_rate": 9.331880900508353e-06,
400
+ "loss": 0.0123,
401
+ "step": 2500
402
+ },
403
+ {
404
+ "epoch": 16.234527687296417,
405
+ "eval_loss": 0.015808526426553726,
406
+ "eval_mse": 0.0433967150747776,
407
+ "eval_runtime": 90.5827,
408
+ "eval_samples_per_second": 1.7,
409
+ "eval_steps_per_second": 0.85,
410
+ "step": 2500
411
+ },
412
+ {
413
+ "epoch": 16.88599348534202,
414
+ "grad_norm": 0.15071052312850952,
415
+ "learning_rate": 5.700798838053741e-06,
416
+ "loss": 0.0132,
417
+ "step": 2600
418
+ },
419
+ {
420
+ "epoch": 16.88599348534202,
421
+ "eval_loss": 0.016139788553118706,
422
+ "eval_mse": 0.039463259279727936,
423
+ "eval_runtime": 91.04,
424
+ "eval_samples_per_second": 1.692,
425
+ "eval_steps_per_second": 0.846,
426
+ "step": 2600
427
+ },
428
+ {
429
+ "epoch": 17.534201954397393,
430
+ "grad_norm": 0.2855733633041382,
431
+ "learning_rate": 2.0697167755991287e-06,
432
+ "loss": 0.0131,
433
+ "step": 2700
434
+ },
435
+ {
436
+ "epoch": 17.534201954397393,
437
+ "eval_loss": 0.015753401443362236,
438
+ "eval_mse": 0.04061569273471832,
439
+ "eval_runtime": 91.2096,
440
+ "eval_samples_per_second": 1.688,
441
+ "eval_steps_per_second": 0.844,
442
+ "step": 2700
443
+ }
444
+ ],
445
+ "logging_steps": 100,
446
+ "max_steps": 2754,
447
+ "num_input_tokens_seen": 0,
448
+ "num_train_epochs": 18,
449
+ "save_steps": 100,
450
+ "stateful_callbacks": {
451
+ "TrainerControl": {
452
+ "args": {
453
+ "should_epoch_stop": false,
454
+ "should_evaluate": false,
455
+ "should_log": false,
456
+ "should_save": true,
457
+ "should_training_stop": true
458
+ },
459
+ "attributes": {}
460
+ }
461
+ },
462
+ "total_flos": 1.5386107538383602e+19,
463
+ "train_batch_size": 2,
464
+ "trial_name": null,
465
+ "trial_params": null
466
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bdcd97e2e6c734a99352d9651d92da44f783a68798e3ea16a7754ecf017e5737
3
+ size 5304