YagiASAFAS commited on
Commit
f423488
·
verified ·
1 Parent(s): bbbe271

Training in progress, epoch 3

Browse files
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7dfc7b91c4dd349a9fbfee77e6969e0e0fdb2ceae36cd99336d54bb57a4ded58
3
  size 438007864
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:26d45660e79eae18a1d64284246777a584fb8ee16373738db06275d022d6d302
3
  size 438007864
run-0/checkpoint-6000/config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "BertForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "classifier_dropout": null,
7
+ "gradient_checkpointing": false,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "LABEL_0",
13
+ "1": "LABEL_1",
14
+ "2": "LABEL_2",
15
+ "3": "LABEL_3",
16
+ "4": "LABEL_4",
17
+ "5": "LABEL_5",
18
+ "6": "LABEL_6",
19
+ "7": "LABEL_7",
20
+ "8": "LABEL_8",
21
+ "9": "LABEL_9",
22
+ "10": "LABEL_10",
23
+ "11": "LABEL_11",
24
+ "12": "LABEL_12",
25
+ "13": "LABEL_13",
26
+ "14": "LABEL_14",
27
+ "15": "LABEL_15",
28
+ "16": "LABEL_16",
29
+ "17": "LABEL_17"
30
+ },
31
+ "initializer_range": 0.02,
32
+ "intermediate_size": 3072,
33
+ "label2id": {
34
+ "LABEL_0": 0,
35
+ "LABEL_1": 1,
36
+ "LABEL_10": 10,
37
+ "LABEL_11": 11,
38
+ "LABEL_12": 12,
39
+ "LABEL_13": 13,
40
+ "LABEL_14": 14,
41
+ "LABEL_15": 15,
42
+ "LABEL_16": 16,
43
+ "LABEL_17": 17,
44
+ "LABEL_2": 2,
45
+ "LABEL_3": 3,
46
+ "LABEL_4": 4,
47
+ "LABEL_5": 5,
48
+ "LABEL_6": 6,
49
+ "LABEL_7": 7,
50
+ "LABEL_8": 8,
51
+ "LABEL_9": 9
52
+ },
53
+ "layer_norm_eps": 1e-12,
54
+ "max_position_embeddings": 512,
55
+ "model_type": "bert",
56
+ "num_attention_heads": 12,
57
+ "num_hidden_layers": 12,
58
+ "pad_token_id": 0,
59
+ "position_embedding_type": "absolute",
60
+ "torch_dtype": "float32",
61
+ "transformers_version": "4.55.4",
62
+ "type_vocab_size": 2,
63
+ "use_cache": true,
64
+ "vocab_size": 30522
65
+ }
run-0/checkpoint-6000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:26d45660e79eae18a1d64284246777a584fb8ee16373738db06275d022d6d302
3
+ size 438007864
run-0/checkpoint-6000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:39c1f923ba57a48157f78126b95da5409a7dd604bfb0fc514716c3e876dbc2e7
3
+ size 876140043
run-0/checkpoint-6000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:853c64a36d920f68957f9512fc79a83588307b0ec23c83a30caebc328b0f31db
3
+ size 14645
run-0/checkpoint-6000/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77fdcd5b11c0aa6b0b8ab80a017a3385c1d0bd0d4c15102fbc89a2be040e5a69
3
+ size 1383
run-0/checkpoint-6000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdfd4d542f49f82c6c7923b41668e8af5063d7ff6f25e67b417419e910f8af45
3
+ size 1465
run-0/checkpoint-6000/trainer_state.json ADDED
@@ -0,0 +1,536 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 4000,
3
+ "best_metric": 0.7960173130694123,
4
+ "best_model_checkpoint": "./results/run-0/checkpoint-4000",
5
+ "epoch": 3.0,
6
+ "eval_steps": 500,
7
+ "global_step": 6000,
8
+ "is_hyper_param_search": true,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.05,
14
+ "grad_norm": 2.039576768875122,
15
+ "learning_rate": 1.447537100215313e-06,
16
+ "loss": 0.0,
17
+ "step": 100
18
+ },
19
+ {
20
+ "epoch": 0.1,
21
+ "grad_norm": 4.460484504699707,
22
+ "learning_rate": 2.9096957873014878e-06,
23
+ "loss": 0.0821,
24
+ "step": 200
25
+ },
26
+ {
27
+ "epoch": 0.15,
28
+ "grad_norm": 26.84711456298828,
29
+ "learning_rate": 4.371854474387663e-06,
30
+ "loss": 0.0519,
31
+ "step": 300
32
+ },
33
+ {
34
+ "epoch": 0.2,
35
+ "grad_norm": 0.6646966934204102,
36
+ "learning_rate": 5.834013161473838e-06,
37
+ "loss": 0.0,
38
+ "step": 400
39
+ },
40
+ {
41
+ "epoch": 0.25,
42
+ "grad_norm": 1.8385223150253296,
43
+ "learning_rate": 7.296171848560012e-06,
44
+ "loss": 0.0,
45
+ "step": 500
46
+ },
47
+ {
48
+ "epoch": 0.3,
49
+ "grad_norm": 0.9234638810157776,
50
+ "learning_rate": 8.758330535646188e-06,
51
+ "loss": 0.0,
52
+ "step": 600
53
+ },
54
+ {
55
+ "epoch": 0.35,
56
+ "grad_norm": 38.24382400512695,
57
+ "learning_rate": 9.9933989317167e-06,
58
+ "loss": 0.0,
59
+ "step": 700
60
+ },
61
+ {
62
+ "epoch": 0.4,
63
+ "grad_norm": 42.83884811401367,
64
+ "learning_rate": 9.94162234536513e-06,
65
+ "loss": 0.0,
66
+ "step": 800
67
+ },
68
+ {
69
+ "epoch": 0.45,
70
+ "grad_norm": 0.8020399808883667,
71
+ "learning_rate": 9.889845759013559e-06,
72
+ "loss": 0.0,
73
+ "step": 900
74
+ },
75
+ {
76
+ "epoch": 0.5,
77
+ "grad_norm": 0.86091148853302,
78
+ "learning_rate": 9.838069172661988e-06,
79
+ "loss": 0.0,
80
+ "step": 1000
81
+ },
82
+ {
83
+ "epoch": 0.55,
84
+ "grad_norm": 0.16439934074878693,
85
+ "learning_rate": 9.786292586310415e-06,
86
+ "loss": 0.0,
87
+ "step": 1100
88
+ },
89
+ {
90
+ "epoch": 0.6,
91
+ "grad_norm": 2.752115488052368,
92
+ "learning_rate": 9.734515999958846e-06,
93
+ "loss": 0.0,
94
+ "step": 1200
95
+ },
96
+ {
97
+ "epoch": 0.65,
98
+ "grad_norm": 1.5777802467346191,
99
+ "learning_rate": 9.682739413607275e-06,
100
+ "loss": 0.0,
101
+ "step": 1300
102
+ },
103
+ {
104
+ "epoch": 0.7,
105
+ "grad_norm": 5.708035945892334,
106
+ "learning_rate": 9.630962827255703e-06,
107
+ "loss": 0.0598,
108
+ "step": 1400
109
+ },
110
+ {
111
+ "epoch": 0.75,
112
+ "grad_norm": 0.3160113990306854,
113
+ "learning_rate": 9.579186240904132e-06,
114
+ "loss": 0.0441,
115
+ "step": 1500
116
+ },
117
+ {
118
+ "epoch": 0.8,
119
+ "grad_norm": 1.2273201942443848,
120
+ "learning_rate": 9.527409654552563e-06,
121
+ "loss": 0.0,
122
+ "step": 1600
123
+ },
124
+ {
125
+ "epoch": 0.85,
126
+ "grad_norm": 29.215551376342773,
127
+ "learning_rate": 9.47563306820099e-06,
128
+ "loss": 0.0,
129
+ "step": 1700
130
+ },
131
+ {
132
+ "epoch": 0.9,
133
+ "grad_norm": 0.18806450068950653,
134
+ "learning_rate": 9.42385648184942e-06,
135
+ "loss": 0.0,
136
+ "step": 1800
137
+ },
138
+ {
139
+ "epoch": 0.95,
140
+ "grad_norm": 0.41723617911338806,
141
+ "learning_rate": 9.372079895497849e-06,
142
+ "loss": 0.0183,
143
+ "step": 1900
144
+ },
145
+ {
146
+ "epoch": 1.0,
147
+ "grad_norm": 1.9550623893737793,
148
+ "learning_rate": 9.32030330914628e-06,
149
+ "loss": 0.0,
150
+ "step": 2000
151
+ },
152
+ {
153
+ "epoch": 1.0,
154
+ "eval_economic_inequality_accuracy": 0.8047858942065491,
155
+ "eval_economic_inequality_f1": 0.7536914695213144,
156
+ "eval_economic_policy_benefits_accuracy": 0.8282828282828283,
157
+ "eval_economic_policy_benefits_f1": 0.7567090529234769,
158
+ "eval_ethnic_boundaries_accuracy": 0.9526143790849673,
159
+ "eval_ethnic_boundaries_f1": 0.9344984933861545,
160
+ "eval_language_policy_accuracy": 0.7058823529411765,
161
+ "eval_language_policy_f1": 0.6071428571428571,
162
+ "eval_loss": NaN,
163
+ "eval_mother_tongue_education_accuracy": 0.8888888888888888,
164
+ "eval_mother_tongue_education_f1": 0.837037037037037,
165
+ "eval_overall_accuracy": 0.8392311075242039,
166
+ "eval_overall_f1": 0.782435168791527,
167
+ "eval_religion_ethnic_identity_accuracy": 0.8549323017408124,
168
+ "eval_religion_ethnic_identity_f1": 0.8055321027383222,
169
+ "eval_runtime": 4.4874,
170
+ "eval_samples_per_second": 891.378,
171
+ "eval_steps_per_second": 55.711,
172
+ "step": 2000
173
+ },
174
+ {
175
+ "epoch": 1.05,
176
+ "grad_norm": 2.762986183166504,
177
+ "learning_rate": 9.268526722794707e-06,
178
+ "loss": 0.0,
179
+ "step": 2100
180
+ },
181
+ {
182
+ "epoch": 1.1,
183
+ "grad_norm": 0.5487369298934937,
184
+ "learning_rate": 9.216750136443136e-06,
185
+ "loss": 0.0,
186
+ "step": 2200
187
+ },
188
+ {
189
+ "epoch": 1.15,
190
+ "grad_norm": 4.76751184463501,
191
+ "learning_rate": 9.164973550091565e-06,
192
+ "loss": 0.0102,
193
+ "step": 2300
194
+ },
195
+ {
196
+ "epoch": 1.2,
197
+ "grad_norm": 2.681756019592285,
198
+ "learning_rate": 9.113196963739995e-06,
199
+ "loss": 0.0,
200
+ "step": 2400
201
+ },
202
+ {
203
+ "epoch": 1.25,
204
+ "grad_norm": 0.24124185740947723,
205
+ "learning_rate": 9.061420377388424e-06,
206
+ "loss": 0.0,
207
+ "step": 2500
208
+ },
209
+ {
210
+ "epoch": 1.3,
211
+ "grad_norm": 1.943154215812683,
212
+ "learning_rate": 9.009643791036853e-06,
213
+ "loss": 0.0,
214
+ "step": 2600
215
+ },
216
+ {
217
+ "epoch": 1.35,
218
+ "grad_norm": 0.28053101897239685,
219
+ "learning_rate": 8.957867204685282e-06,
220
+ "loss": 0.0347,
221
+ "step": 2700
222
+ },
223
+ {
224
+ "epoch": 1.4,
225
+ "grad_norm": 1.7952568531036377,
226
+ "learning_rate": 8.906090618333711e-06,
227
+ "loss": 0.4436,
228
+ "step": 2800
229
+ },
230
+ {
231
+ "epoch": 1.45,
232
+ "grad_norm": 3.859933614730835,
233
+ "learning_rate": 8.85431403198214e-06,
234
+ "loss": 0.0,
235
+ "step": 2900
236
+ },
237
+ {
238
+ "epoch": 1.5,
239
+ "grad_norm": 1.094464898109436,
240
+ "learning_rate": 8.80253744563057e-06,
241
+ "loss": 0.0,
242
+ "step": 3000
243
+ },
244
+ {
245
+ "epoch": 1.55,
246
+ "grad_norm": 0.5670285820960999,
247
+ "learning_rate": 8.750760859278999e-06,
248
+ "loss": 0.0,
249
+ "step": 3100
250
+ },
251
+ {
252
+ "epoch": 1.6,
253
+ "grad_norm": 2.8412418365478516,
254
+ "learning_rate": 8.698984272927428e-06,
255
+ "loss": 0.0,
256
+ "step": 3200
257
+ },
258
+ {
259
+ "epoch": 1.65,
260
+ "grad_norm": 65.82475280761719,
261
+ "learning_rate": 8.647207686575855e-06,
262
+ "loss": 0.0,
263
+ "step": 3300
264
+ },
265
+ {
266
+ "epoch": 1.7,
267
+ "grad_norm": 8.976615905761719,
268
+ "learning_rate": 8.595431100224286e-06,
269
+ "loss": 0.0048,
270
+ "step": 3400
271
+ },
272
+ {
273
+ "epoch": 1.75,
274
+ "grad_norm": 126.71548461914062,
275
+ "learning_rate": 8.543654513872716e-06,
276
+ "loss": 0.0,
277
+ "step": 3500
278
+ },
279
+ {
280
+ "epoch": 1.8,
281
+ "grad_norm": 0.595015823841095,
282
+ "learning_rate": 8.491877927521143e-06,
283
+ "loss": 0.0033,
284
+ "step": 3600
285
+ },
286
+ {
287
+ "epoch": 1.85,
288
+ "grad_norm": 3.98215651512146,
289
+ "learning_rate": 8.440101341169572e-06,
290
+ "loss": 0.1482,
291
+ "step": 3700
292
+ },
293
+ {
294
+ "epoch": 1.9,
295
+ "grad_norm": 3.0417540073394775,
296
+ "learning_rate": 8.388324754818003e-06,
297
+ "loss": 0.0031,
298
+ "step": 3800
299
+ },
300
+ {
301
+ "epoch": 1.95,
302
+ "grad_norm": 27.85649299621582,
303
+ "learning_rate": 8.33654816846643e-06,
304
+ "loss": 0.0589,
305
+ "step": 3900
306
+ },
307
+ {
308
+ "epoch": 2.0,
309
+ "grad_norm": 2.3094232082366943,
310
+ "learning_rate": 8.28477158211486e-06,
311
+ "loss": 0.0,
312
+ "step": 4000
313
+ },
314
+ {
315
+ "epoch": 2.0,
316
+ "eval_economic_inequality_accuracy": 0.8236775818639799,
317
+ "eval_economic_inequality_f1": 0.8161521311449569,
318
+ "eval_economic_policy_benefits_accuracy": 0.835016835016835,
319
+ "eval_economic_policy_benefits_f1": 0.81117677081242,
320
+ "eval_ethnic_boundaries_accuracy": 0.9477124183006536,
321
+ "eval_ethnic_boundaries_f1": 0.9421262334088456,
322
+ "eval_language_policy_accuracy": 0.7058823529411765,
323
+ "eval_language_policy_f1": 0.6071428571428571,
324
+ "eval_loss": NaN,
325
+ "eval_mother_tongue_education_accuracy": 0.7777777777777778,
326
+ "eval_mother_tongue_education_f1": 0.7407407407407408,
327
+ "eval_overall_accuracy": 0.8277126438976526,
328
+ "eval_overall_f1": 0.7960173130694123,
329
+ "eval_religion_ethnic_identity_accuracy": 0.8762088974854932,
330
+ "eval_religion_ethnic_identity_f1": 0.8587651451666537,
331
+ "eval_runtime": 4.4654,
332
+ "eval_samples_per_second": 895.775,
333
+ "eval_steps_per_second": 55.986,
334
+ "step": 4000
335
+ },
336
+ {
337
+ "epoch": 2.05,
338
+ "grad_norm": 8.547677040100098,
339
+ "learning_rate": 8.232994995763289e-06,
340
+ "loss": 0.0,
341
+ "step": 4100
342
+ },
343
+ {
344
+ "epoch": 2.1,
345
+ "grad_norm": 117.06266784667969,
346
+ "learning_rate": 8.181218409411718e-06,
347
+ "loss": 0.0,
348
+ "step": 4200
349
+ },
350
+ {
351
+ "epoch": 2.15,
352
+ "grad_norm": 0.19274334609508514,
353
+ "learning_rate": 8.129441823060147e-06,
354
+ "loss": 0.0,
355
+ "step": 4300
356
+ },
357
+ {
358
+ "epoch": 2.2,
359
+ "grad_norm": 1.0360257625579834,
360
+ "learning_rate": 8.077665236708576e-06,
361
+ "loss": 0.0,
362
+ "step": 4400
363
+ },
364
+ {
365
+ "epoch": 2.25,
366
+ "grad_norm": 0.08476172387599945,
367
+ "learning_rate": 8.025888650357006e-06,
368
+ "loss": 0.0,
369
+ "step": 4500
370
+ },
371
+ {
372
+ "epoch": 2.3,
373
+ "grad_norm": 0.08015169203281403,
374
+ "learning_rate": 7.974112064005435e-06,
375
+ "loss": 0.0,
376
+ "step": 4600
377
+ },
378
+ {
379
+ "epoch": 2.35,
380
+ "grad_norm": 0.22844159603118896,
381
+ "learning_rate": 7.922335477653864e-06,
382
+ "loss": 0.0006,
383
+ "step": 4700
384
+ },
385
+ {
386
+ "epoch": 2.4,
387
+ "grad_norm": 0.08015509694814682,
388
+ "learning_rate": 7.870558891302293e-06,
389
+ "loss": 0.0006,
390
+ "step": 4800
391
+ },
392
+ {
393
+ "epoch": 2.45,
394
+ "grad_norm": 5.426948547363281,
395
+ "learning_rate": 7.818782304950722e-06,
396
+ "loss": 0.0,
397
+ "step": 4900
398
+ },
399
+ {
400
+ "epoch": 2.5,
401
+ "grad_norm": 0.022730231285095215,
402
+ "learning_rate": 7.767005718599151e-06,
403
+ "loss": 0.0,
404
+ "step": 5000
405
+ },
406
+ {
407
+ "epoch": 2.55,
408
+ "grad_norm": 5.662137508392334,
409
+ "learning_rate": 7.71522913224758e-06,
410
+ "loss": 0.0,
411
+ "step": 5100
412
+ },
413
+ {
414
+ "epoch": 2.6,
415
+ "grad_norm": 0.05326724052429199,
416
+ "learning_rate": 7.66345254589601e-06,
417
+ "loss": 0.0,
418
+ "step": 5200
419
+ },
420
+ {
421
+ "epoch": 2.65,
422
+ "grad_norm": 2.7219042778015137,
423
+ "learning_rate": 7.611675959544438e-06,
424
+ "loss": 0.0003,
425
+ "step": 5300
426
+ },
427
+ {
428
+ "epoch": 2.7,
429
+ "grad_norm": 4.045983791351318,
430
+ "learning_rate": 7.559899373192868e-06,
431
+ "loss": 0.0,
432
+ "step": 5400
433
+ },
434
+ {
435
+ "epoch": 2.75,
436
+ "grad_norm": 0.17610976099967957,
437
+ "learning_rate": 7.5081227868412964e-06,
438
+ "loss": 0.0,
439
+ "step": 5500
440
+ },
441
+ {
442
+ "epoch": 2.8,
443
+ "grad_norm": 0.03921931982040405,
444
+ "learning_rate": 7.456346200489726e-06,
445
+ "loss": 0.0,
446
+ "step": 5600
447
+ },
448
+ {
449
+ "epoch": 2.85,
450
+ "grad_norm": 3.3493025302886963,
451
+ "learning_rate": 7.404569614138155e-06,
452
+ "loss": 0.0,
453
+ "step": 5700
454
+ },
455
+ {
456
+ "epoch": 2.9,
457
+ "grad_norm": 0.17839455604553223,
458
+ "learning_rate": 7.352793027786584e-06,
459
+ "loss": 0.0,
460
+ "step": 5800
461
+ },
462
+ {
463
+ "epoch": 2.95,
464
+ "grad_norm": 0.01533100288361311,
465
+ "learning_rate": 7.301016441435013e-06,
466
+ "loss": 0.0,
467
+ "step": 5900
468
+ },
469
+ {
470
+ "epoch": 3.0,
471
+ "grad_norm": 0.6168579459190369,
472
+ "learning_rate": 7.249239855083442e-06,
473
+ "loss": 0.0,
474
+ "step": 6000
475
+ },
476
+ {
477
+ "epoch": 3.0,
478
+ "eval_economic_inequality_accuracy": 0.818639798488665,
479
+ "eval_economic_inequality_f1": 0.8128041981528128,
480
+ "eval_economic_policy_benefits_accuracy": 0.8686868686868687,
481
+ "eval_economic_policy_benefits_f1": 0.849679269639744,
482
+ "eval_ethnic_boundaries_accuracy": 0.9379084967320261,
483
+ "eval_ethnic_boundaries_f1": 0.9377319200237987,
484
+ "eval_language_policy_accuracy": 0.6470588235294118,
485
+ "eval_language_policy_f1": 0.5673202614379085,
486
+ "eval_loss": NaN,
487
+ "eval_mother_tongue_education_accuracy": 0.7777777777777778,
488
+ "eval_mother_tongue_education_f1": 0.7407407407407408,
489
+ "eval_overall_accuracy": 0.8181454231515234,
490
+ "eval_overall_f1": 0.794560338168735,
491
+ "eval_religion_ethnic_identity_accuracy": 0.8588007736943907,
492
+ "eval_religion_ethnic_identity_f1": 0.8590856390174055,
493
+ "eval_runtime": 4.4722,
494
+ "eval_samples_per_second": 894.406,
495
+ "eval_steps_per_second": 55.9,
496
+ "step": 6000
497
+ }
498
+ ],
499
+ "logging_steps": 100,
500
+ "max_steps": 20000,
501
+ "num_input_tokens_seen": 0,
502
+ "num_train_epochs": 10,
503
+ "save_steps": 500,
504
+ "stateful_callbacks": {
505
+ "EarlyStoppingCallback": {
506
+ "args": {
507
+ "early_stopping_patience": 2,
508
+ "early_stopping_threshold": 0.0
509
+ },
510
+ "attributes": {
511
+ "early_stopping_patience_counter": 1
512
+ }
513
+ },
514
+ "TrainerControl": {
515
+ "args": {
516
+ "should_epoch_stop": false,
517
+ "should_evaluate": false,
518
+ "should_log": false,
519
+ "should_save": true,
520
+ "should_training_stop": false
521
+ },
522
+ "attributes": {}
523
+ }
524
+ },
525
+ "total_flos": 1.2631144955904e+16,
526
+ "train_batch_size": 8,
527
+ "trial_name": null,
528
+ "trial_params": {
529
+ "gradient_accumulation_steps": 1,
530
+ "learning_rate": 1.0001165419669436e-05,
531
+ "num_train_epochs": 10,
532
+ "per_device_train_batch_size": 8,
533
+ "warmup_steps": 684,
534
+ "weight_decay": 0.07522641729243515
535
+ }
536
+ }
run-0/checkpoint-6000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:84f9f98f39dc377d902877813dc8cf2a83bc674db97d85b5237e673a48a7375f
3
+ size 5777