alex2awesome commited on
Commit
b17c8b8
1 Parent(s): fec8243
all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_e": 0.0,
4
+ "eval_f1": 0.0024405878282630906,
5
+ "eval_loss": 7.580255031585693,
6
+ "eval_runtime": 121.173,
7
+ "eval_samples": 3336,
8
+ "eval_samples_per_second": 27.531,
9
+ "eval_steps_per_second": 27.531,
10
+ "test_e": 0.48231414868105515,
11
+ "test_f1": 0.4307979810407354,
12
+ "test_loss": 4.15036678314209,
13
+ "test_runtime": 121.1908,
14
+ "test_samples_per_second": 27.527,
15
+ "test_steps_per_second": 27.527,
16
+ "train_loss": 1.6027517270257226,
17
+ "train_runtime": 3981.5918,
18
+ "train_samples": 9379,
19
+ "train_samples_per_second": 7.067,
20
+ "train_steps_per_second": 7.067
21
+ }
config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/bigbird-roberta-base",
3
+ "architectures": [
4
+ "QAModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "attention_type": "original_full",
8
+ "block_size": 64,
9
+ "bos_token_id": 1,
10
+ "classifier_dropout": null,
11
+ "eos_token_id": 2,
12
+ "freeze_layers": null,
13
+ "gradient_checkpointing": false,
14
+ "hidden_act": "gelu_new",
15
+ "hidden_dropout_prob": 0.1,
16
+ "hidden_size": 768,
17
+ "include_nones_as_positives": false,
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 3072,
20
+ "layer_norm_eps": 1e-12,
21
+ "loss_window": null,
22
+ "max_position_embeddings": 4096,
23
+ "model_type": "big_bird",
24
+ "num_attention_heads": 12,
25
+ "num_hidden_layers": 12,
26
+ "num_random_blocks": 3,
27
+ "pad_token_id": 0,
28
+ "position_embedding_type": "absolute",
29
+ "qa_head": {},
30
+ "rescale_embeddings": false,
31
+ "sep_token_id": 66,
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.12.2",
34
+ "type_vocab_size": 2,
35
+ "use_bias": true,
36
+ "use_cache": true,
37
+ "vocab_size": 50358
38
+ }
post-training eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "eval_samples": 3336,
3
+ "test_e": 0.48231414868105515,
4
+ "test_f1": 0.4307979810407354,
5
+ "test_loss": 4.15036678314209,
6
+ "test_runtime": 121.1908,
7
+ "test_samples_per_second": 27.527,
8
+ "test_steps_per_second": 27.527
9
+ }
pre-training eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "eval_e": 0.0,
3
+ "eval_f1": 0.0024405878282630906,
4
+ "eval_loss": 7.580255031585693,
5
+ "eval_runtime": 121.173,
6
+ "eval_samples_per_second": 27.531,
7
+ "eval_steps_per_second": 27.531
8
+ }
prediction_output.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:514059838c0cfa3ef94c4fe736619c873ff88f37ada6808e3e03757134c04a0a
3
+ size 509994093
runs/Jan12_19-16-57_instance-6/1673551070.453638/events.out.tfevents.1673551070.instance-6.21467.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a62707baf54b67d351abb6d2cc801baf39123647161167a126622c4b9c58ed1
3
+ size 4630
runs/Jan12_19-16-57_instance-6/events.out.tfevents.1673551070.instance-6.21467.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:236ce707a140c2f935f504ae595c29e2abf0000e8db40907e8c06c80df7a0b14
3
+ size 4369
runs/Jan12_19-20-53_instance-6/1673551304.5341797/events.out.tfevents.1673551304.instance-6.24298.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8225dcc8d727d46e800b6f5584cf77d52d1929cc3fb96555a8c98c31333f3776
3
+ size 4630
runs/Jan12_19-20-53_instance-6/events.out.tfevents.1673551304.instance-6.24298.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eaf69355bbf2d8fc0b4006c582519fba893a2c245ea5894c56e8b6a1865a3166
3
+ size 4212
runs/Jan12_19-23-48_instance-6/1673551572.4730556/events.out.tfevents.1673551572.instance-6.26426.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c024db8c451ec305f39ccce96ddf4ee8bd0bcb9fa2719f7bafcdc24e8828f8e7
3
+ size 4630
runs/Jan12_19-23-48_instance-6/events.out.tfevents.1673551572.instance-6.26426.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:233387f4affbe4f55bb7081d196f7182defa6f7069ab7af81e1097fc446e32f6
3
+ size 18232
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 1.6027517270257226,
4
+ "train_runtime": 3981.5918,
5
+ "train_samples": 9379,
6
+ "train_samples_per_second": 7.067,
7
+ "train_steps_per_second": 7.067
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,501 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "global_step": 28137,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.05,
12
+ "learning_rate": 4.91114902086221e-05,
13
+ "loss": 4.1307,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.11,
18
+ "learning_rate": 4.82229804172442e-05,
19
+ "loss": 3.2328,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.16,
24
+ "learning_rate": 4.73344706258663e-05,
25
+ "loss": 2.9206,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.21,
30
+ "learning_rate": 4.64459608344884e-05,
31
+ "loss": 2.8462,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.21,
36
+ "eval_e": 0.23890887290167867,
37
+ "eval_f1": 0.23467707071366814,
38
+ "eval_loss": 5.362636089324951,
39
+ "eval_runtime": 121.7016,
40
+ "eval_samples_per_second": 27.411,
41
+ "eval_steps_per_second": 27.411,
42
+ "step": 2000
43
+ },
44
+ {
45
+ "epoch": 0.27,
46
+ "learning_rate": 4.55574510431105e-05,
47
+ "loss": 2.9308,
48
+ "step": 2500
49
+ },
50
+ {
51
+ "epoch": 0.32,
52
+ "learning_rate": 4.46689412517326e-05,
53
+ "loss": 2.8088,
54
+ "step": 3000
55
+ },
56
+ {
57
+ "epoch": 0.37,
58
+ "learning_rate": 4.378043146035469e-05,
59
+ "loss": 2.5237,
60
+ "step": 3500
61
+ },
62
+ {
63
+ "epoch": 0.43,
64
+ "learning_rate": 4.2891921668976795e-05,
65
+ "loss": 2.5704,
66
+ "step": 4000
67
+ },
68
+ {
69
+ "epoch": 0.43,
70
+ "eval_e": 0.3579136690647482,
71
+ "eval_f1": 0.3288601709033254,
72
+ "eval_loss": 3.1302592754364014,
73
+ "eval_runtime": 121.4271,
74
+ "eval_samples_per_second": 27.473,
75
+ "eval_steps_per_second": 27.473,
76
+ "step": 4000
77
+ },
78
+ {
79
+ "epoch": 0.48,
80
+ "learning_rate": 4.200341187759889e-05,
81
+ "loss": 2.2721,
82
+ "step": 4500
83
+ },
84
+ {
85
+ "epoch": 0.53,
86
+ "learning_rate": 4.111490208622099e-05,
87
+ "loss": 2.5344,
88
+ "step": 5000
89
+ },
90
+ {
91
+ "epoch": 0.59,
92
+ "learning_rate": 4.022639229484309e-05,
93
+ "loss": 2.3429,
94
+ "step": 5500
95
+ },
96
+ {
97
+ "epoch": 0.64,
98
+ "learning_rate": 3.933788250346519e-05,
99
+ "loss": 2.3649,
100
+ "step": 6000
101
+ },
102
+ {
103
+ "epoch": 0.64,
104
+ "eval_e": 0.3761990407673861,
105
+ "eval_f1": 0.3487221168810336,
106
+ "eval_loss": 4.601644039154053,
107
+ "eval_runtime": 121.4022,
108
+ "eval_samples_per_second": 27.479,
109
+ "eval_steps_per_second": 27.479,
110
+ "step": 6000
111
+ },
112
+ {
113
+ "epoch": 0.69,
114
+ "learning_rate": 3.844937271208729e-05,
115
+ "loss": 2.125,
116
+ "step": 6500
117
+ },
118
+ {
119
+ "epoch": 0.75,
120
+ "learning_rate": 3.756086292070939e-05,
121
+ "loss": 2.241,
122
+ "step": 7000
123
+ },
124
+ {
125
+ "epoch": 0.8,
126
+ "learning_rate": 3.6672353129331485e-05,
127
+ "loss": 2.0385,
128
+ "step": 7500
129
+ },
130
+ {
131
+ "epoch": 0.85,
132
+ "learning_rate": 3.578384333795359e-05,
133
+ "loss": 2.3278,
134
+ "step": 8000
135
+ },
136
+ {
137
+ "epoch": 0.85,
138
+ "eval_e": 0.4094724220623501,
139
+ "eval_f1": 0.3706672296662482,
140
+ "eval_loss": 4.3857340812683105,
141
+ "eval_runtime": 121.5065,
142
+ "eval_samples_per_second": 27.455,
143
+ "eval_steps_per_second": 27.455,
144
+ "step": 8000
145
+ },
146
+ {
147
+ "epoch": 0.91,
148
+ "learning_rate": 3.4895333546575685e-05,
149
+ "loss": 2.2073,
150
+ "step": 8500
151
+ },
152
+ {
153
+ "epoch": 0.96,
154
+ "learning_rate": 3.400682375519779e-05,
155
+ "loss": 2.089,
156
+ "step": 9000
157
+ },
158
+ {
159
+ "epoch": 1.01,
160
+ "learning_rate": 3.311831396381988e-05,
161
+ "loss": 1.8698,
162
+ "step": 9500
163
+ },
164
+ {
165
+ "epoch": 1.07,
166
+ "learning_rate": 3.222980417244198e-05,
167
+ "loss": 1.4806,
168
+ "step": 10000
169
+ },
170
+ {
171
+ "epoch": 1.07,
172
+ "eval_e": 0.39718225419664266,
173
+ "eval_f1": 0.3538201477224622,
174
+ "eval_loss": 4.4642109870910645,
175
+ "eval_runtime": 121.3475,
176
+ "eval_samples_per_second": 27.491,
177
+ "eval_steps_per_second": 27.491,
178
+ "step": 10000
179
+ },
180
+ {
181
+ "epoch": 1.12,
182
+ "learning_rate": 3.134129438106408e-05,
183
+ "loss": 1.381,
184
+ "step": 10500
185
+ },
186
+ {
187
+ "epoch": 1.17,
188
+ "learning_rate": 3.0452784589686178e-05,
189
+ "loss": 1.4917,
190
+ "step": 11000
191
+ },
192
+ {
193
+ "epoch": 1.23,
194
+ "learning_rate": 2.9564274798308278e-05,
195
+ "loss": 1.5309,
196
+ "step": 11500
197
+ },
198
+ {
199
+ "epoch": 1.28,
200
+ "learning_rate": 2.8675765006930378e-05,
201
+ "loss": 1.534,
202
+ "step": 12000
203
+ },
204
+ {
205
+ "epoch": 1.28,
206
+ "eval_e": 0.3983812949640288,
207
+ "eval_f1": 0.361609584220443,
208
+ "eval_loss": 4.218064785003662,
209
+ "eval_runtime": 121.4358,
210
+ "eval_samples_per_second": 27.471,
211
+ "eval_steps_per_second": 27.471,
212
+ "step": 12000
213
+ },
214
+ {
215
+ "epoch": 1.33,
216
+ "learning_rate": 2.7787255215552478e-05,
217
+ "loss": 1.4109,
218
+ "step": 12500
219
+ },
220
+ {
221
+ "epoch": 1.39,
222
+ "learning_rate": 2.6898745424174578e-05,
223
+ "loss": 1.562,
224
+ "step": 13000
225
+ },
226
+ {
227
+ "epoch": 1.44,
228
+ "learning_rate": 2.6010235632796674e-05,
229
+ "loss": 1.6473,
230
+ "step": 13500
231
+ },
232
+ {
233
+ "epoch": 1.49,
234
+ "learning_rate": 2.5121725841418774e-05,
235
+ "loss": 1.2592,
236
+ "step": 14000
237
+ },
238
+ {
239
+ "epoch": 1.49,
240
+ "eval_e": 0.4520383693045564,
241
+ "eval_f1": 0.40414986746385745,
242
+ "eval_loss": 4.98923397064209,
243
+ "eval_runtime": 121.4673,
244
+ "eval_samples_per_second": 27.464,
245
+ "eval_steps_per_second": 27.464,
246
+ "step": 14000
247
+ },
248
+ {
249
+ "epoch": 1.55,
250
+ "learning_rate": 2.423321605004087e-05,
251
+ "loss": 1.3429,
252
+ "step": 14500
253
+ },
254
+ {
255
+ "epoch": 1.6,
256
+ "learning_rate": 2.334470625866297e-05,
257
+ "loss": 1.4802,
258
+ "step": 15000
259
+ },
260
+ {
261
+ "epoch": 1.65,
262
+ "learning_rate": 2.245619646728507e-05,
263
+ "loss": 1.4203,
264
+ "step": 15500
265
+ },
266
+ {
267
+ "epoch": 1.71,
268
+ "learning_rate": 2.156768667590717e-05,
269
+ "loss": 1.2868,
270
+ "step": 16000
271
+ },
272
+ {
273
+ "epoch": 1.71,
274
+ "eval_e": 0.4475419664268585,
275
+ "eval_f1": 0.40389977547135164,
276
+ "eval_loss": 4.433777809143066,
277
+ "eval_runtime": 121.4975,
278
+ "eval_samples_per_second": 27.457,
279
+ "eval_steps_per_second": 27.457,
280
+ "step": 16000
281
+ },
282
+ {
283
+ "epoch": 1.76,
284
+ "learning_rate": 2.067917688452927e-05,
285
+ "loss": 1.3837,
286
+ "step": 16500
287
+ },
288
+ {
289
+ "epoch": 1.81,
290
+ "learning_rate": 1.9790667093151367e-05,
291
+ "loss": 1.3352,
292
+ "step": 17000
293
+ },
294
+ {
295
+ "epoch": 1.87,
296
+ "learning_rate": 1.8902157301773464e-05,
297
+ "loss": 1.3861,
298
+ "step": 17500
299
+ },
300
+ {
301
+ "epoch": 1.92,
302
+ "learning_rate": 1.8013647510395564e-05,
303
+ "loss": 1.4105,
304
+ "step": 18000
305
+ },
306
+ {
307
+ "epoch": 1.92,
308
+ "eval_e": 0.4577338129496403,
309
+ "eval_f1": 0.408643956398686,
310
+ "eval_loss": 4.376325607299805,
311
+ "eval_runtime": 121.4273,
312
+ "eval_samples_per_second": 27.473,
313
+ "eval_steps_per_second": 27.473,
314
+ "step": 18000
315
+ },
316
+ {
317
+ "epoch": 1.97,
318
+ "learning_rate": 1.7125137719017664e-05,
319
+ "loss": 1.2234,
320
+ "step": 18500
321
+ },
322
+ {
323
+ "epoch": 2.03,
324
+ "learning_rate": 1.6236627927639764e-05,
325
+ "loss": 1.0492,
326
+ "step": 19000
327
+ },
328
+ {
329
+ "epoch": 2.08,
330
+ "learning_rate": 1.5348118136261864e-05,
331
+ "loss": 0.8572,
332
+ "step": 19500
333
+ },
334
+ {
335
+ "epoch": 2.13,
336
+ "learning_rate": 1.4459608344883962e-05,
337
+ "loss": 0.7944,
338
+ "step": 20000
339
+ },
340
+ {
341
+ "epoch": 2.13,
342
+ "eval_e": 0.473621103117506,
343
+ "eval_f1": 0.42407242585653226,
344
+ "eval_loss": 4.196831703186035,
345
+ "eval_runtime": 121.4007,
346
+ "eval_samples_per_second": 27.479,
347
+ "eval_steps_per_second": 27.479,
348
+ "step": 20000
349
+ },
350
+ {
351
+ "epoch": 2.19,
352
+ "learning_rate": 1.3571098553506059e-05,
353
+ "loss": 0.9145,
354
+ "step": 20500
355
+ },
356
+ {
357
+ "epoch": 2.24,
358
+ "learning_rate": 1.2682588762128159e-05,
359
+ "loss": 0.8874,
360
+ "step": 21000
361
+ },
362
+ {
363
+ "epoch": 2.29,
364
+ "learning_rate": 1.1794078970750259e-05,
365
+ "loss": 0.9073,
366
+ "step": 21500
367
+ },
368
+ {
369
+ "epoch": 2.35,
370
+ "learning_rate": 1.0905569179372357e-05,
371
+ "loss": 0.791,
372
+ "step": 22000
373
+ },
374
+ {
375
+ "epoch": 2.35,
376
+ "eval_e": 0.4697242206235012,
377
+ "eval_f1": 0.4240145974837222,
378
+ "eval_loss": 4.208236217498779,
379
+ "eval_runtime": 121.3326,
380
+ "eval_samples_per_second": 27.495,
381
+ "eval_steps_per_second": 27.495,
382
+ "step": 22000
383
+ },
384
+ {
385
+ "epoch": 2.4,
386
+ "learning_rate": 1.0017059387994457e-05,
387
+ "loss": 0.753,
388
+ "step": 22500
389
+ },
390
+ {
391
+ "epoch": 2.45,
392
+ "learning_rate": 9.128549596616555e-06,
393
+ "loss": 0.9797,
394
+ "step": 23000
395
+ },
396
+ {
397
+ "epoch": 2.51,
398
+ "learning_rate": 8.240039805238655e-06,
399
+ "loss": 0.8473,
400
+ "step": 23500
401
+ },
402
+ {
403
+ "epoch": 2.56,
404
+ "learning_rate": 7.351530013860753e-06,
405
+ "loss": 0.8997,
406
+ "step": 24000
407
+ },
408
+ {
409
+ "epoch": 2.56,
410
+ "eval_e": 0.4766187050359712,
411
+ "eval_f1": 0.42464439616671873,
412
+ "eval_loss": 4.4838666915893555,
413
+ "eval_runtime": 121.474,
414
+ "eval_samples_per_second": 27.463,
415
+ "eval_steps_per_second": 27.463,
416
+ "step": 24000
417
+ },
418
+ {
419
+ "epoch": 2.61,
420
+ "learning_rate": 6.463020222482852e-06,
421
+ "loss": 0.8912,
422
+ "step": 24500
423
+ },
424
+ {
425
+ "epoch": 2.67,
426
+ "learning_rate": 5.574510431104952e-06,
427
+ "loss": 0.7544,
428
+ "step": 25000
429
+ },
430
+ {
431
+ "epoch": 2.72,
432
+ "learning_rate": 4.68600063972705e-06,
433
+ "loss": 0.823,
434
+ "step": 25500
435
+ },
436
+ {
437
+ "epoch": 2.77,
438
+ "learning_rate": 3.7974908483491486e-06,
439
+ "loss": 0.835,
440
+ "step": 26000
441
+ },
442
+ {
443
+ "epoch": 2.77,
444
+ "eval_e": 0.48081534772182255,
445
+ "eval_f1": 0.4289052534622072,
446
+ "eval_loss": 3.9213685989379883,
447
+ "eval_runtime": 121.3974,
448
+ "eval_samples_per_second": 27.48,
449
+ "eval_steps_per_second": 27.48,
450
+ "step": 26000
451
+ },
452
+ {
453
+ "epoch": 2.83,
454
+ "learning_rate": 2.908981056971248e-06,
455
+ "loss": 0.8194,
456
+ "step": 26500
457
+ },
458
+ {
459
+ "epoch": 2.88,
460
+ "learning_rate": 2.020471265593347e-06,
461
+ "loss": 0.7346,
462
+ "step": 27000
463
+ },
464
+ {
465
+ "epoch": 2.93,
466
+ "learning_rate": 1.131961474215446e-06,
467
+ "loss": 0.642,
468
+ "step": 27500
469
+ },
470
+ {
471
+ "epoch": 2.99,
472
+ "learning_rate": 2.434516828375449e-07,
473
+ "loss": 0.8905,
474
+ "step": 28000
475
+ },
476
+ {
477
+ "epoch": 2.99,
478
+ "eval_e": 0.48231414868105515,
479
+ "eval_f1": 0.4308855987601117,
480
+ "eval_loss": 4.153212070465088,
481
+ "eval_runtime": 121.3729,
482
+ "eval_samples_per_second": 27.486,
483
+ "eval_steps_per_second": 27.486,
484
+ "step": 28000
485
+ },
486
+ {
487
+ "epoch": 3.0,
488
+ "step": 28137,
489
+ "total_flos": 1.867929495867468e+16,
490
+ "train_loss": 1.6027517270257226,
491
+ "train_runtime": 3981.5918,
492
+ "train_samples_per_second": 7.067,
493
+ "train_steps_per_second": 7.067
494
+ }
495
+ ],
496
+ "max_steps": 28137,
497
+ "num_train_epochs": 3,
498
+ "total_flos": 1.867929495867468e+16,
499
+ "trial_name": null,
500
+ "trial_params": null
501
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de20ea039fc61092afb26d778cb37a099fccbfb961575e551b5cb0476fcf363c
3
+ size 2927