josecannete commited on
Commit
1b3e20c
1 Parent(s): 3645b1d

adding model finetuned on POS

Browse files
all_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "eval_accuracy": 0.9804082866064533,
4
+ "eval_f1": 0.9784274595889044,
5
+ "eval_loss": 0.06875239312648773,
6
+ "eval_precision": 0.9776080714627532,
7
+ "eval_recall": 0.9792482224175122,
8
+ "eval_runtime": 2.17,
9
+ "eval_samples": 1654,
10
+ "eval_samples_per_second": 762.206,
11
+ "eval_steps_per_second": 23.963,
12
+ "train_loss": 0.07637897772448403,
13
+ "train_runtime": 8322.2563,
14
+ "train_samples": 14305,
15
+ "train_samples_per_second": 6.876,
16
+ "train_steps_per_second": 0.215
17
+ }
config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "dccuchile/bert-base-spanish-wwm-uncased",
3
+ "architectures": [
4
+ "BertForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "finetuning_task": "pos",
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "LABEL_0",
15
+ "1": "LABEL_1",
16
+ "2": "LABEL_2",
17
+ "3": "LABEL_3",
18
+ "4": "LABEL_4",
19
+ "5": "LABEL_5",
20
+ "6": "LABEL_6",
21
+ "7": "LABEL_7",
22
+ "8": "LABEL_8",
23
+ "9": "LABEL_9",
24
+ "10": "LABEL_10",
25
+ "11": "LABEL_11",
26
+ "12": "LABEL_12",
27
+ "13": "LABEL_13",
28
+ "14": "LABEL_14",
29
+ "15": "LABEL_15",
30
+ "16": "LABEL_16",
31
+ "17": "LABEL_17"
32
+ },
33
+ "initializer_range": 0.02,
34
+ "intermediate_size": 3072,
35
+ "label2id": {
36
+ "LABEL_0": 0,
37
+ "LABEL_1": 1,
38
+ "LABEL_10": 10,
39
+ "LABEL_11": 11,
40
+ "LABEL_12": 12,
41
+ "LABEL_13": 13,
42
+ "LABEL_14": 14,
43
+ "LABEL_15": 15,
44
+ "LABEL_16": 16,
45
+ "LABEL_17": 17,
46
+ "LABEL_2": 2,
47
+ "LABEL_3": 3,
48
+ "LABEL_4": 4,
49
+ "LABEL_5": 5,
50
+ "LABEL_6": 6,
51
+ "LABEL_7": 7,
52
+ "LABEL_8": 8,
53
+ "LABEL_9": 9
54
+ },
55
+ "layer_norm_eps": 1e-12,
56
+ "max_position_embeddings": 512,
57
+ "model_type": "bert",
58
+ "num_attention_heads": 12,
59
+ "num_hidden_layers": 12,
60
+ "output_past": true,
61
+ "pad_token_id": 1,
62
+ "position_embedding_type": "absolute",
63
+ "torch_dtype": "float32",
64
+ "transformers_version": "4.12.5",
65
+ "type_vocab_size": 2,
66
+ "use_cache": true,
67
+ "vocab_size": 31002
68
+ }
eval_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "eval_accuracy": 0.9804082866064533,
4
+ "eval_f1": 0.9784274595889044,
5
+ "eval_loss": 0.06875239312648773,
6
+ "eval_precision": 0.9776080714627532,
7
+ "eval_recall": 0.9792482224175122,
8
+ "eval_runtime": 2.17,
9
+ "eval_samples": 1654,
10
+ "eval_samples_per_second": 762.206,
11
+ "eval_steps_per_second": 23.963
12
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:780f0d5df7209cae48b6ec4963c48e10253a59acaee273d2f406a46b4b64caf8
3
+ size 437179953
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
1
+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
1
+ {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "do_basic_tokenize": true, "never_split": null, "model_max_length": 512, "special_tokens_map_file": "/data/jcanete/cache/78141ed1e8dcc5ff370950397ca0d1c5c9da478f54ec14544187d8a93eff1a26.f982506b52498d4adb4bd491f593dc92b2ef6be61bfdbe9d30f53f963f9f5b66", "name_or_path": "dccuchile/bert-base-spanish-wwm-uncased", "tokenizer_class": "BertTokenizer"}
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "train_loss": 0.07637897772448403,
4
+ "train_runtime": 8322.2563,
5
+ "train_samples": 14305,
6
+ "train_samples_per_second": 6.876,
7
+ "train_steps_per_second": 0.215
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,463 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.06875239312648773,
3
+ "best_model_checkpoint": "/data/jcanete/all_results/pos/beto_uncased/epochs_4_bs_32_lr_5e-5/checkpoint-850",
4
+ "epoch": 4.0,
5
+ "global_step": 1792,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.11,
12
+ "eval_accuracy": 0.9416445623342176,
13
+ "eval_f1": 0.9315524877309181,
14
+ "eval_loss": 0.20549777150154114,
15
+ "eval_precision": 0.9304758488761358,
16
+ "eval_recall": 0.9326316209954462,
17
+ "eval_runtime": 2.2237,
18
+ "eval_samples_per_second": 743.792,
19
+ "eval_steps_per_second": 23.384,
20
+ "step": 50
21
+ },
22
+ {
23
+ "epoch": 0.22,
24
+ "eval_accuracy": 0.9580969009166302,
25
+ "eval_f1": 0.9511250424261785,
26
+ "eval_loss": 0.14205431938171387,
27
+ "eval_precision": 0.9507643795154272,
28
+ "eval_recall": 0.9514859790684669,
29
+ "eval_runtime": 2.1719,
30
+ "eval_samples_per_second": 761.545,
31
+ "eval_steps_per_second": 23.942,
32
+ "step": 100
33
+ },
34
+ {
35
+ "epoch": 0.33,
36
+ "eval_accuracy": 0.963922371822852,
37
+ "eval_f1": 0.9588180131287536,
38
+ "eval_loss": 0.12034180760383606,
39
+ "eval_precision": 0.9578433326689256,
40
+ "eval_recall": 0.9597946792362387,
41
+ "eval_runtime": 2.8499,
42
+ "eval_samples_per_second": 580.367,
43
+ "eval_steps_per_second": 18.246,
44
+ "step": 150
45
+ },
46
+ {
47
+ "epoch": 0.45,
48
+ "eval_accuracy": 0.9677668468589464,
49
+ "eval_f1": 0.9631556392700891,
50
+ "eval_loss": 0.10953102260828018,
51
+ "eval_precision": 0.9611918922682156,
52
+ "eval_recall": 0.9651274266996884,
53
+ "eval_runtime": 3.0514,
54
+ "eval_samples_per_second": 542.046,
55
+ "eval_steps_per_second": 17.041,
56
+ "step": 200
57
+ },
58
+ {
59
+ "epoch": 0.56,
60
+ "eval_accuracy": 0.9704865191552228,
61
+ "eval_f1": 0.9662253768243082,
62
+ "eval_loss": 0.1019054427742958,
63
+ "eval_precision": 0.9645330785765465,
64
+ "eval_recall": 0.9679236238715347,
65
+ "eval_runtime": 3.1025,
66
+ "eval_samples_per_second": 533.122,
67
+ "eval_steps_per_second": 16.761,
68
+ "step": 250
69
+ },
70
+ {
71
+ "epoch": 0.67,
72
+ "eval_accuracy": 0.9732061914514992,
73
+ "eval_f1": 0.9694056641404069,
74
+ "eval_loss": 0.09022298455238342,
75
+ "eval_precision": 0.9680156137974986,
76
+ "eval_recall": 0.970799712391148,
77
+ "eval_runtime": 3.1303,
78
+ "eval_samples_per_second": 528.378,
79
+ "eval_steps_per_second": 16.612,
80
+ "step": 300
81
+ },
82
+ {
83
+ "epoch": 0.78,
84
+ "eval_accuracy": 0.973928079777054,
85
+ "eval_f1": 0.9705615354688107,
86
+ "eval_loss": 0.08854629099369049,
87
+ "eval_precision": 0.9695266567015446,
88
+ "eval_recall": 0.9715986258688184,
89
+ "eval_runtime": 3.1649,
90
+ "eval_samples_per_second": 522.602,
91
+ "eval_steps_per_second": 16.43,
92
+ "step": 350
93
+ },
94
+ {
95
+ "epoch": 0.89,
96
+ "eval_accuracy": 0.9757579827418326,
97
+ "eval_f1": 0.9730894722662914,
98
+ "eval_loss": 0.08236456662416458,
99
+ "eval_precision": 0.972264869499332,
100
+ "eval_recall": 0.9739154749540625,
101
+ "eval_runtime": 3.2614,
102
+ "eval_samples_per_second": 507.147,
103
+ "eval_steps_per_second": 15.944,
104
+ "step": 400
105
+ },
106
+ {
107
+ "epoch": 1.0,
108
+ "eval_accuracy": 0.9756908303394554,
109
+ "eval_f1": 0.9728064139767254,
110
+ "eval_loss": 0.08048809319734573,
111
+ "eval_precision": 0.9714018282118176,
112
+ "eval_recall": 0.9742150675081889,
113
+ "eval_runtime": 3.0696,
114
+ "eval_samples_per_second": 538.832,
115
+ "eval_steps_per_second": 16.94,
116
+ "step": 450
117
+ },
118
+ {
119
+ "epoch": 1.12,
120
+ "learning_rate": 3.607700892857143e-05,
121
+ "loss": 0.1891,
122
+ "step": 500
123
+ },
124
+ {
125
+ "epoch": 1.12,
126
+ "eval_accuracy": 0.976681328274519,
127
+ "eval_f1": 0.9741610570929944,
128
+ "eval_loss": 0.08373625576496124,
129
+ "eval_precision": 0.9728125560180851,
130
+ "eval_recall": 0.9755133019094032,
131
+ "eval_runtime": 3.2499,
132
+ "eval_samples_per_second": 508.931,
133
+ "eval_steps_per_second": 16.0,
134
+ "step": 500
135
+ },
136
+ {
137
+ "epoch": 1.23,
138
+ "eval_accuracy": 0.9778229191149314,
139
+ "eval_f1": 0.975405828768695,
140
+ "eval_loss": 0.08112843334674835,
141
+ "eval_precision": 0.9745210231463944,
142
+ "eval_recall": 0.9762922425501318,
143
+ "eval_runtime": 3.1199,
144
+ "eval_samples_per_second": 530.139,
145
+ "eval_steps_per_second": 16.667,
146
+ "step": 550
147
+ },
148
+ {
149
+ "epoch": 1.34,
150
+ "eval_accuracy": 0.9784944431387033,
151
+ "eval_f1": 0.9759250024932683,
152
+ "eval_loss": 0.07825577259063721,
153
+ "eval_precision": 0.974622524999004,
154
+ "eval_recall": 0.9772309658863945,
155
+ "eval_runtime": 3.0821,
156
+ "eval_samples_per_second": 536.646,
157
+ "eval_steps_per_second": 16.872,
158
+ "step": 600
159
+ },
160
+ {
161
+ "epoch": 1.45,
162
+ "eval_accuracy": 0.9782594097303831,
163
+ "eval_f1": 0.976126314948999,
164
+ "eval_loss": 0.07251805067062378,
165
+ "eval_precision": 0.9755615848062882,
166
+ "eval_recall": 0.976691699288967,
167
+ "eval_runtime": 3.0567,
168
+ "eval_samples_per_second": 541.099,
169
+ "eval_steps_per_second": 17.012,
170
+ "step": 650
171
+ },
172
+ {
173
+ "epoch": 1.56,
174
+ "eval_accuracy": 0.9793506362690125,
175
+ "eval_f1": 0.9770881149585869,
176
+ "eval_loss": 0.07318206131458282,
177
+ "eval_precision": 0.976367117386622,
178
+ "eval_recall": 0.9778101781577055,
179
+ "eval_runtime": 3.123,
180
+ "eval_samples_per_second": 529.611,
181
+ "eval_steps_per_second": 16.65,
182
+ "step": 700
183
+ },
184
+ {
185
+ "epoch": 1.67,
186
+ "eval_accuracy": 0.9792331195648525,
187
+ "eval_f1": 0.9769158636100637,
188
+ "eval_loss": 0.07212899625301361,
189
+ "eval_precision": 0.9758839239446725,
190
+ "eval_recall": 0.9779499880162978,
191
+ "eval_runtime": 3.1071,
192
+ "eval_samples_per_second": 532.328,
193
+ "eval_steps_per_second": 16.736,
194
+ "step": 750
195
+ },
196
+ {
197
+ "epoch": 1.79,
198
+ "eval_accuracy": 0.9795856696773327,
199
+ "eval_f1": 0.9771997366898726,
200
+ "eval_loss": 0.07169780880212784,
201
+ "eval_precision": 0.9759732238913017,
202
+ "eval_recall": 0.9784293361029001,
203
+ "eval_runtime": 3.1916,
204
+ "eval_samples_per_second": 518.234,
205
+ "eval_steps_per_second": 16.293,
206
+ "step": 800
207
+ },
208
+ {
209
+ "epoch": 1.9,
210
+ "eval_accuracy": 0.9804082866064533,
211
+ "eval_f1": 0.9784274595889044,
212
+ "eval_loss": 0.06875239312648773,
213
+ "eval_precision": 0.9776080714627532,
214
+ "eval_recall": 0.9792482224175122,
215
+ "eval_runtime": 3.2127,
216
+ "eval_samples_per_second": 514.836,
217
+ "eval_steps_per_second": 16.186,
218
+ "step": 850
219
+ },
220
+ {
221
+ "epoch": 2.01,
222
+ "eval_accuracy": 0.9791995433636639,
223
+ "eval_f1": 0.977885114366692,
224
+ "eval_loss": 0.07294180244207382,
225
+ "eval_precision": 0.9772219562789214,
226
+ "eval_recall": 0.9785491731245506,
227
+ "eval_runtime": 3.0782,
228
+ "eval_samples_per_second": 537.322,
229
+ "eval_steps_per_second": 16.893,
230
+ "step": 900
231
+ },
232
+ {
233
+ "epoch": 2.12,
234
+ "eval_accuracy": 0.9806097438135849,
235
+ "eval_f1": 0.9782331112086509,
236
+ "eval_loss": 0.0767468586564064,
237
+ "eval_precision": 0.977180325255102,
238
+ "eval_recall": 0.9792881680913957,
239
+ "eval_runtime": 3.1248,
240
+ "eval_samples_per_second": 529.314,
241
+ "eval_steps_per_second": 16.641,
242
+ "step": 950
243
+ },
244
+ {
245
+ "epoch": 2.23,
246
+ "learning_rate": 2.2126116071428573e-05,
247
+ "loss": 0.049,
248
+ "step": 1000
249
+ },
250
+ {
251
+ "epoch": 2.23,
252
+ "eval_accuracy": 0.9794177886713897,
253
+ "eval_f1": 0.9773666247530087,
254
+ "eval_loss": 0.07647667080163956,
255
+ "eval_precision": 0.9766843511907136,
256
+ "eval_recall": 0.9780498522010066,
257
+ "eval_runtime": 3.0978,
258
+ "eval_samples_per_second": 533.936,
259
+ "eval_steps_per_second": 16.786,
260
+ "step": 1000
261
+ },
262
+ {
263
+ "epoch": 2.34,
264
+ "eval_accuracy": 0.97977033878387,
265
+ "eval_f1": 0.9773353018634531,
266
+ "eval_loss": 0.07652360200881958,
267
+ "eval_precision": 0.9762834821428571,
268
+ "eval_recall": 0.9783893904290165,
269
+ "eval_runtime": 3.0494,
270
+ "eval_samples_per_second": 542.399,
271
+ "eval_steps_per_second": 17.052,
272
+ "step": 1050
273
+ },
274
+ {
275
+ "epoch": 2.46,
276
+ "eval_accuracy": 0.9807272605177451,
277
+ "eval_f1": 0.9790142798694754,
278
+ "eval_loss": 0.07351543754339218,
279
+ "eval_precision": 0.9782821131563728,
280
+ "eval_recall": 0.9797475433410562,
281
+ "eval_runtime": 2.1592,
282
+ "eval_samples_per_second": 766.034,
283
+ "eval_steps_per_second": 24.083,
284
+ "step": 1100
285
+ },
286
+ {
287
+ "epoch": 2.57,
288
+ "eval_accuracy": 0.9812812678373569,
289
+ "eval_f1": 0.9792086517548935,
290
+ "eval_loss": 0.07407119125127792,
291
+ "eval_precision": 0.9782522026870789,
292
+ "eval_recall": 0.9801669729168331,
293
+ "eval_runtime": 2.3144,
294
+ "eval_samples_per_second": 714.646,
295
+ "eval_steps_per_second": 22.468,
296
+ "step": 1150
297
+ },
298
+ {
299
+ "epoch": 2.68,
300
+ "eval_accuracy": 0.9805761676123963,
301
+ "eval_f1": 0.9790627120673825,
302
+ "eval_loss": 0.07566250115633011,
303
+ "eval_precision": 0.9783987553853518,
304
+ "eval_recall": 0.9797275705041144,
305
+ "eval_runtime": 2.157,
306
+ "eval_samples_per_second": 766.796,
307
+ "eval_steps_per_second": 24.107,
308
+ "step": 1200
309
+ },
310
+ {
311
+ "epoch": 2.79,
312
+ "eval_accuracy": 0.9812141154349797,
313
+ "eval_f1": 0.9793385543971667,
314
+ "eval_loss": 0.0741068422794342,
315
+ "eval_precision": 0.978372236729324,
316
+ "eval_recall": 0.9803067827754254,
317
+ "eval_runtime": 2.1422,
318
+ "eval_samples_per_second": 772.1,
319
+ "eval_steps_per_second": 24.274,
320
+ "step": 1250
321
+ },
322
+ {
323
+ "epoch": 2.9,
324
+ "eval_accuracy": 0.9809287177248766,
325
+ "eval_f1": 0.9787904786607873,
326
+ "eval_loss": 0.07299875468015671,
327
+ "eval_precision": 0.9777954953159258,
328
+ "eval_recall": 0.9797874890149397,
329
+ "eval_runtime": 2.1492,
330
+ "eval_samples_per_second": 769.58,
331
+ "eval_steps_per_second": 24.195,
332
+ "step": 1300
333
+ },
334
+ {
335
+ "epoch": 3.01,
336
+ "eval_accuracy": 0.9813652083403284,
337
+ "eval_f1": 0.9792876384316073,
338
+ "eval_loss": 0.07347211241722107,
339
+ "eval_precision": 0.9783700809377617,
340
+ "eval_recall": 0.9802069185907166,
341
+ "eval_runtime": 2.1559,
342
+ "eval_samples_per_second": 767.204,
343
+ "eval_steps_per_second": 24.12,
344
+ "step": 1350
345
+ },
346
+ {
347
+ "epoch": 3.12,
348
+ "eval_accuracy": 0.9818856394587516,
349
+ "eval_f1": 0.9799355463098764,
350
+ "eval_loss": 0.07577352970838547,
351
+ "eval_precision": 0.9790466317111585,
352
+ "eval_recall": 0.9808260765359111,
353
+ "eval_runtime": 2.1533,
354
+ "eval_samples_per_second": 768.11,
355
+ "eval_steps_per_second": 24.149,
356
+ "step": 1400
357
+ },
358
+ {
359
+ "epoch": 3.24,
360
+ "eval_accuracy": 0.98168418225162,
361
+ "eval_f1": 0.9799245674602383,
362
+ "eval_loss": 0.07578457146883011,
363
+ "eval_precision": 0.9790844199864418,
364
+ "eval_recall": 0.9807661580250859,
365
+ "eval_runtime": 2.1906,
366
+ "eval_samples_per_second": 755.058,
367
+ "eval_steps_per_second": 23.738,
368
+ "step": 1450
369
+ },
370
+ {
371
+ "epoch": 3.35,
372
+ "learning_rate": 8.175223214285714e-06,
373
+ "loss": 0.0257,
374
+ "step": 1500
375
+ },
376
+ {
377
+ "epoch": 3.35,
378
+ "eval_accuracy": 0.9813316321391398,
379
+ "eval_f1": 0.9794737209743247,
380
+ "eval_loss": 0.07658305764198303,
381
+ "eval_precision": 0.9787217070495563,
382
+ "eval_recall": 0.9802268914276584,
383
+ "eval_runtime": 2.1425,
384
+ "eval_samples_per_second": 771.995,
385
+ "eval_steps_per_second": 24.271,
386
+ "step": 1500
387
+ },
388
+ {
389
+ "epoch": 3.46,
390
+ "eval_accuracy": 0.9814659369438942,
391
+ "eval_f1": 0.9793369052251389,
392
+ "eval_loss": 0.07673583924770355,
393
+ "eval_precision": 0.9784485336629518,
394
+ "eval_recall": 0.9802268914276584,
395
+ "eval_runtime": 2.137,
396
+ "eval_samples_per_second": 773.994,
397
+ "eval_steps_per_second": 24.334,
398
+ "step": 1550
399
+ },
400
+ {
401
+ "epoch": 3.57,
402
+ "eval_accuracy": 0.9814323607427056,
403
+ "eval_f1": 0.9795576307204215,
404
+ "eval_loss": 0.07736379653215408,
405
+ "eval_precision": 0.9786105850692715,
406
+ "eval_recall": 0.980506511144843,
407
+ "eval_runtime": 2.2904,
408
+ "eval_samples_per_second": 722.158,
409
+ "eval_steps_per_second": 22.704,
410
+ "step": 1600
411
+ },
412
+ {
413
+ "epoch": 3.68,
414
+ "eval_accuracy": 0.98168418225162,
415
+ "eval_f1": 0.9797461787125354,
416
+ "eval_loss": 0.07633356750011444,
417
+ "eval_precision": 0.978847687400319,
418
+ "eval_recall": 0.9806463210034353,
419
+ "eval_runtime": 2.1499,
420
+ "eval_samples_per_second": 769.338,
421
+ "eval_steps_per_second": 24.187,
422
+ "step": 1650
423
+ },
424
+ {
425
+ "epoch": 3.79,
426
+ "eval_accuracy": 0.9814995131450828,
427
+ "eval_f1": 0.9798431356896241,
428
+ "eval_loss": 0.07660035789012909,
429
+ "eval_precision": 0.9790810832369481,
430
+ "eval_recall": 0.9806063753295519,
431
+ "eval_runtime": 2.1514,
432
+ "eval_samples_per_second": 768.802,
433
+ "eval_steps_per_second": 24.17,
434
+ "step": 1700
435
+ },
436
+ {
437
+ "epoch": 3.91,
438
+ "eval_accuracy": 0.9819192156599402,
439
+ "eval_f1": 0.9799660780205528,
440
+ "eval_loss": 0.07586053013801575,
441
+ "eval_precision": 0.979047884853076,
442
+ "eval_recall": 0.9808859950467365,
443
+ "eval_runtime": 2.182,
444
+ "eval_samples_per_second": 758.038,
445
+ "eval_steps_per_second": 23.832,
446
+ "step": 1750
447
+ },
448
+ {
449
+ "epoch": 4.0,
450
+ "step": 1792,
451
+ "total_flos": 2508921974905632.0,
452
+ "train_loss": 0.07637897772448403,
453
+ "train_runtime": 8322.2563,
454
+ "train_samples_per_second": 6.876,
455
+ "train_steps_per_second": 0.215
456
+ }
457
+ ],
458
+ "max_steps": 1792,
459
+ "num_train_epochs": 4,
460
+ "total_flos": 2508921974905632.0,
461
+ "trial_name": null,
462
+ "trial_params": null
463
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad5c1bf6d555ffb3f2c712590a2a672cfa9f70e0b96da6d0e4364d82e67b00ff
3
+ size 2863
vocab.txt ADDED
The diff for this file is too large to render. See raw diff