houck2040 commited on
Commit
45baf0b
·
1 Parent(s): 19d94dc

Upload 7 files

Browse files
Files changed (7) hide show
  1. config.json +27 -0
  2. optimizer.pt +3 -0
  3. pytorch_model.bin +3 -0
  4. rng_state.pth +3 -0
  5. scheduler.pt +3 -0
  6. trainer_state.json +352 -0
  7. training_args.bin +3 -0
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "distilroberta-base",
3
+ "architectures": [
4
+ "RobertaForMaskedLM"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 3072,
15
+ "layer_norm_eps": 1e-05,
16
+ "max_position_embeddings": 514,
17
+ "model_type": "roberta",
18
+ "num_attention_heads": 12,
19
+ "num_hidden_layers": 6,
20
+ "pad_token_id": 1,
21
+ "position_embedding_type": "absolute",
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.29.2",
24
+ "type_vocab_size": 1,
25
+ "use_cache": true,
26
+ "vocab_size": 50265
27
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb4c006a4b3df152981071a1aefb8e42368f7404f3a4214b509f7ffa4ab9a0f5
3
+ size 657423685
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:48ee0133b6343e276cb0a9ba4755a66a80f4661ee7feeb9e5f368856bbeed33d
3
+ size 328721273
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b13d368549414e65beca691381a1f3b2157e1dbda6ba22df0a6ddc770f7bdbcd
3
+ size 14575
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:81c193d574ff1d1901d2e1f4e9a3aed191b4df1d90a0499d9b7cb27531f4fe73
3
+ size 627
trainer_state.json ADDED
@@ -0,0 +1,352 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 9.927797833935019,
5
+ "global_step": 22000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.23,
12
+ "learning_rate": 1.9548736462093864e-05,
13
+ "loss": 1.999,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.45,
18
+ "learning_rate": 1.9097472924187726e-05,
19
+ "loss": 1.6311,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.68,
24
+ "learning_rate": 1.8646209386281592e-05,
25
+ "loss": 1.4725,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.9,
30
+ "learning_rate": 1.8194945848375454e-05,
31
+ "loss": 1.4118,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 1.0,
36
+ "eval_loss": 1.260017991065979,
37
+ "eval_runtime": 13.7559,
38
+ "eval_samples_per_second": 645.178,
39
+ "eval_steps_per_second": 80.693,
40
+ "step": 2216
41
+ },
42
+ {
43
+ "epoch": 1.13,
44
+ "learning_rate": 1.7743682310469313e-05,
45
+ "loss": 1.3416,
46
+ "step": 2500
47
+ },
48
+ {
49
+ "epoch": 1.35,
50
+ "learning_rate": 1.729241877256318e-05,
51
+ "loss": 1.2715,
52
+ "step": 3000
53
+ },
54
+ {
55
+ "epoch": 1.58,
56
+ "learning_rate": 1.684115523465704e-05,
57
+ "loss": 1.215,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 1.81,
62
+ "learning_rate": 1.6389891696750904e-05,
63
+ "loss": 1.1616,
64
+ "step": 4000
65
+ },
66
+ {
67
+ "epoch": 2.0,
68
+ "eval_loss": 1.0639451742172241,
69
+ "eval_runtime": 13.601,
70
+ "eval_samples_per_second": 652.527,
71
+ "eval_steps_per_second": 81.612,
72
+ "step": 4432
73
+ },
74
+ {
75
+ "epoch": 2.03,
76
+ "learning_rate": 1.5938628158844766e-05,
77
+ "loss": 1.1381,
78
+ "step": 4500
79
+ },
80
+ {
81
+ "epoch": 2.26,
82
+ "learning_rate": 1.548736462093863e-05,
83
+ "loss": 1.1219,
84
+ "step": 5000
85
+ },
86
+ {
87
+ "epoch": 2.48,
88
+ "learning_rate": 1.5036101083032493e-05,
89
+ "loss": 1.0613,
90
+ "step": 5500
91
+ },
92
+ {
93
+ "epoch": 2.71,
94
+ "learning_rate": 1.4584837545126355e-05,
95
+ "loss": 1.078,
96
+ "step": 6000
97
+ },
98
+ {
99
+ "epoch": 2.93,
100
+ "learning_rate": 1.413357400722022e-05,
101
+ "loss": 1.0446,
102
+ "step": 6500
103
+ },
104
+ {
105
+ "epoch": 3.0,
106
+ "eval_loss": 0.9587522149085999,
107
+ "eval_runtime": 13.6249,
108
+ "eval_samples_per_second": 651.379,
109
+ "eval_steps_per_second": 81.468,
110
+ "step": 6648
111
+ },
112
+ {
113
+ "epoch": 3.16,
114
+ "learning_rate": 1.368231046931408e-05,
115
+ "loss": 1.0442,
116
+ "step": 7000
117
+ },
118
+ {
119
+ "epoch": 3.38,
120
+ "learning_rate": 1.3231046931407942e-05,
121
+ "loss": 1.0028,
122
+ "step": 7500
123
+ },
124
+ {
125
+ "epoch": 3.61,
126
+ "learning_rate": 1.2779783393501806e-05,
127
+ "loss": 0.9996,
128
+ "step": 8000
129
+ },
130
+ {
131
+ "epoch": 3.84,
132
+ "learning_rate": 1.2328519855595669e-05,
133
+ "loss": 0.974,
134
+ "step": 8500
135
+ },
136
+ {
137
+ "epoch": 4.0,
138
+ "eval_loss": 0.8713343739509583,
139
+ "eval_runtime": 13.5623,
140
+ "eval_samples_per_second": 654.389,
141
+ "eval_steps_per_second": 81.845,
142
+ "step": 8864
143
+ },
144
+ {
145
+ "epoch": 4.06,
146
+ "learning_rate": 1.1877256317689531e-05,
147
+ "loss": 0.9667,
148
+ "step": 9000
149
+ },
150
+ {
151
+ "epoch": 4.29,
152
+ "learning_rate": 1.1425992779783395e-05,
153
+ "loss": 0.9457,
154
+ "step": 9500
155
+ },
156
+ {
157
+ "epoch": 4.51,
158
+ "learning_rate": 1.0974729241877257e-05,
159
+ "loss": 0.9311,
160
+ "step": 10000
161
+ },
162
+ {
163
+ "epoch": 4.74,
164
+ "learning_rate": 1.0523465703971121e-05,
165
+ "loss": 0.9321,
166
+ "step": 10500
167
+ },
168
+ {
169
+ "epoch": 4.96,
170
+ "learning_rate": 1.0072202166064984e-05,
171
+ "loss": 0.9109,
172
+ "step": 11000
173
+ },
174
+ {
175
+ "epoch": 5.0,
176
+ "eval_loss": 0.8490720987319946,
177
+ "eval_runtime": 13.6964,
178
+ "eval_samples_per_second": 647.978,
179
+ "eval_steps_per_second": 81.043,
180
+ "step": 11080
181
+ },
182
+ {
183
+ "epoch": 5.19,
184
+ "learning_rate": 9.620938628158846e-06,
185
+ "loss": 0.8969,
186
+ "step": 11500
187
+ },
188
+ {
189
+ "epoch": 5.42,
190
+ "learning_rate": 9.169675090252709e-06,
191
+ "loss": 0.8924,
192
+ "step": 12000
193
+ },
194
+ {
195
+ "epoch": 5.64,
196
+ "learning_rate": 8.718411552346571e-06,
197
+ "loss": 0.8812,
198
+ "step": 12500
199
+ },
200
+ {
201
+ "epoch": 5.87,
202
+ "learning_rate": 8.267148014440433e-06,
203
+ "loss": 0.8651,
204
+ "step": 13000
205
+ },
206
+ {
207
+ "epoch": 6.0,
208
+ "eval_loss": 0.7949955463409424,
209
+ "eval_runtime": 13.8508,
210
+ "eval_samples_per_second": 640.758,
211
+ "eval_steps_per_second": 80.14,
212
+ "step": 13296
213
+ },
214
+ {
215
+ "epoch": 6.09,
216
+ "learning_rate": 7.815884476534297e-06,
217
+ "loss": 0.8299,
218
+ "step": 13500
219
+ },
220
+ {
221
+ "epoch": 6.32,
222
+ "learning_rate": 7.36462093862816e-06,
223
+ "loss": 0.8698,
224
+ "step": 14000
225
+ },
226
+ {
227
+ "epoch": 6.54,
228
+ "learning_rate": 6.913357400722023e-06,
229
+ "loss": 0.8441,
230
+ "step": 14500
231
+ },
232
+ {
233
+ "epoch": 6.77,
234
+ "learning_rate": 6.4620938628158845e-06,
235
+ "loss": 0.8028,
236
+ "step": 15000
237
+ },
238
+ {
239
+ "epoch": 6.99,
240
+ "learning_rate": 6.010830324909748e-06,
241
+ "loss": 0.8449,
242
+ "step": 15500
243
+ },
244
+ {
245
+ "epoch": 7.0,
246
+ "eval_loss": 0.7730704545974731,
247
+ "eval_runtime": 13.7429,
248
+ "eval_samples_per_second": 645.79,
249
+ "eval_steps_per_second": 80.769,
250
+ "step": 15512
251
+ },
252
+ {
253
+ "epoch": 7.22,
254
+ "learning_rate": 5.559566787003611e-06,
255
+ "loss": 0.8188,
256
+ "step": 16000
257
+ },
258
+ {
259
+ "epoch": 7.45,
260
+ "learning_rate": 5.108303249097474e-06,
261
+ "loss": 0.8166,
262
+ "step": 16500
263
+ },
264
+ {
265
+ "epoch": 7.67,
266
+ "learning_rate": 4.6570397111913365e-06,
267
+ "loss": 0.8159,
268
+ "step": 17000
269
+ },
270
+ {
271
+ "epoch": 7.9,
272
+ "learning_rate": 4.205776173285199e-06,
273
+ "loss": 0.8304,
274
+ "step": 17500
275
+ },
276
+ {
277
+ "epoch": 8.0,
278
+ "eval_loss": 0.7481271028518677,
279
+ "eval_runtime": 7.0241,
280
+ "eval_samples_per_second": 1263.503,
281
+ "eval_steps_per_second": 158.027,
282
+ "step": 17728
283
+ },
284
+ {
285
+ "epoch": 8.12,
286
+ "learning_rate": 3.7545126353790616e-06,
287
+ "loss": 0.815,
288
+ "step": 18000
289
+ },
290
+ {
291
+ "epoch": 8.35,
292
+ "learning_rate": 3.303249097472924e-06,
293
+ "loss": 0.7999,
294
+ "step": 18500
295
+ },
296
+ {
297
+ "epoch": 8.57,
298
+ "learning_rate": 2.8519855595667872e-06,
299
+ "loss": 0.7977,
300
+ "step": 19000
301
+ },
302
+ {
303
+ "epoch": 8.8,
304
+ "learning_rate": 2.40072202166065e-06,
305
+ "loss": 0.7856,
306
+ "step": 19500
307
+ },
308
+ {
309
+ "epoch": 9.0,
310
+ "eval_loss": 0.7300745248794556,
311
+ "eval_runtime": 7.4235,
312
+ "eval_samples_per_second": 1195.525,
313
+ "eval_steps_per_second": 149.525,
314
+ "step": 19944
315
+ },
316
+ {
317
+ "epoch": 9.03,
318
+ "learning_rate": 1.949458483754513e-06,
319
+ "loss": 0.7805,
320
+ "step": 20000
321
+ },
322
+ {
323
+ "epoch": 9.25,
324
+ "learning_rate": 1.4981949458483756e-06,
325
+ "loss": 0.7801,
326
+ "step": 20500
327
+ },
328
+ {
329
+ "epoch": 9.48,
330
+ "learning_rate": 1.0469314079422384e-06,
331
+ "loss": 0.7528,
332
+ "step": 21000
333
+ },
334
+ {
335
+ "epoch": 9.7,
336
+ "learning_rate": 5.956678700361012e-07,
337
+ "loss": 0.7698,
338
+ "step": 21500
339
+ },
340
+ {
341
+ "epoch": 9.93,
342
+ "learning_rate": 1.444043321299639e-07,
343
+ "loss": 0.7997,
344
+ "step": 22000
345
+ }
346
+ ],
347
+ "max_steps": 22160,
348
+ "num_train_epochs": 10,
349
+ "total_flos": 1139660369332650.0,
350
+ "trial_name": null,
351
+ "trial_params": null
352
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3520cc2928dde03a46d7756689306bd4592d01b86cb98f8df4eb0ce4c90016b1
3
+ size 3899