pravin691983 commited on
Commit
f2af77a
1 Parent(s): ce86457

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - text-classification
6
+ widget:
7
+ - text: "I love AutoTrain"
8
+ datasets:
9
+ - few-shot-learning-classification-bert-sm-1K-1/autotrain-data
10
+ ---
11
+
12
+ # Model Trained Using AutoTrain
13
+
14
+ - Problem type: Text Classification
15
+
16
+ ## Validation Metrics
17
+ loss: 0.3858742415904999
18
+
19
+ f1_macro: 0.9076167120902879
20
+
21
+ f1_micro: 0.9075
22
+
23
+ f1_weighted: 0.9076167120902879
24
+
25
+ precision_macro: 0.9080215201299329
26
+
27
+ precision_micro: 0.9075
28
+
29
+ precision_weighted: 0.9080215201299328
30
+
31
+ recall_macro: 0.9075
32
+
33
+ recall_micro: 0.9075
34
+
35
+ recall_weighted: 0.9075
36
+
37
+ accuracy: 0.9075
checkpoint-1280/config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google-bert/bert-base-uncased",
3
+ "_num_labels": 4,
4
+ "architectures": [
5
+ "BertForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "classifier_dropout": null,
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "0",
15
+ "1": "1",
16
+ "2": "2",
17
+ "3": "3"
18
+ },
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 3072,
21
+ "label2id": {
22
+ "0": 0,
23
+ "1": 1,
24
+ "2": 2,
25
+ "3": 3
26
+ },
27
+ "layer_norm_eps": 1e-12,
28
+ "max_position_embeddings": 512,
29
+ "model_type": "bert",
30
+ "num_attention_heads": 12,
31
+ "num_hidden_layers": 12,
32
+ "pad_token_id": 0,
33
+ "position_embedding_type": "absolute",
34
+ "problem_type": "single_label_classification",
35
+ "torch_dtype": "float32",
36
+ "transformers_version": "4.40.1",
37
+ "type_vocab_size": 2,
38
+ "use_cache": true,
39
+ "vocab_size": 30522
40
+ }
checkpoint-1280/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70dac96b3cffe7ac593c0a07db99628475596fb150dfbd07ff147c6c27bcaa34
3
+ size 437964800
checkpoint-1280/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89ad4e32e443cd25e1545df5c4816677f6eb1b82b5f2fb2281a89ba61afd4263
3
+ size 876050682
checkpoint-1280/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a9275c62aa538dc59da4e92cab0e96aef321694e347e049b029bf91527188c8
3
+ size 14244
checkpoint-1280/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:edd12cf0216cfeb12292025ac60eaf6fc51d40d3519fc41c4bf5cbc1043d46ae
3
+ size 1064
checkpoint-1280/trainer_state.json ADDED
@@ -0,0 +1,414 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.3858742415904999,
3
+ "best_model_checkpoint": "few-shot-learning-classification-bert-sm-1K-1/checkpoint-1280",
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1280,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0390625,
13
+ "grad_norm": 7.191597938537598,
14
+ "learning_rate": 1.4375e-06,
15
+ "loss": 1.4451,
16
+ "step": 25
17
+ },
18
+ {
19
+ "epoch": 0.078125,
20
+ "grad_norm": 5.644325256347656,
21
+ "learning_rate": 3e-06,
22
+ "loss": 1.4487,
23
+ "step": 50
24
+ },
25
+ {
26
+ "epoch": 0.1171875,
27
+ "grad_norm": 13.361610412597656,
28
+ "learning_rate": 4.5e-06,
29
+ "loss": 1.319,
30
+ "step": 75
31
+ },
32
+ {
33
+ "epoch": 0.15625,
34
+ "grad_norm": 14.431085586547852,
35
+ "learning_rate": 6.0625e-06,
36
+ "loss": 1.2472,
37
+ "step": 100
38
+ },
39
+ {
40
+ "epoch": 0.1953125,
41
+ "grad_norm": 22.173587799072266,
42
+ "learning_rate": 7.625e-06,
43
+ "loss": 1.1274,
44
+ "step": 125
45
+ },
46
+ {
47
+ "epoch": 0.234375,
48
+ "grad_norm": 14.653789520263672,
49
+ "learning_rate": 9.1875e-06,
50
+ "loss": 0.966,
51
+ "step": 150
52
+ },
53
+ {
54
+ "epoch": 0.2734375,
55
+ "grad_norm": 8.065316200256348,
56
+ "learning_rate": 1.075e-05,
57
+ "loss": 0.8051,
58
+ "step": 175
59
+ },
60
+ {
61
+ "epoch": 0.3125,
62
+ "grad_norm": 9.035745620727539,
63
+ "learning_rate": 1.2312500000000001e-05,
64
+ "loss": 0.7299,
65
+ "step": 200
66
+ },
67
+ {
68
+ "epoch": 0.3515625,
69
+ "grad_norm": 7.260746002197266,
70
+ "learning_rate": 1.3875e-05,
71
+ "loss": 0.5627,
72
+ "step": 225
73
+ },
74
+ {
75
+ "epoch": 0.390625,
76
+ "grad_norm": 11.369009017944336,
77
+ "learning_rate": 1.54375e-05,
78
+ "loss": 0.6384,
79
+ "step": 250
80
+ },
81
+ {
82
+ "epoch": 0.4296875,
83
+ "grad_norm": 9.945943832397461,
84
+ "learning_rate": 1.7e-05,
85
+ "loss": 0.5355,
86
+ "step": 275
87
+ },
88
+ {
89
+ "epoch": 0.46875,
90
+ "grad_norm": 8.494958877563477,
91
+ "learning_rate": 1.85625e-05,
92
+ "loss": 0.4033,
93
+ "step": 300
94
+ },
95
+ {
96
+ "epoch": 0.5078125,
97
+ "grad_norm": 13.045336723327637,
98
+ "learning_rate": 1.9986111111111114e-05,
99
+ "loss": 0.3506,
100
+ "step": 325
101
+ },
102
+ {
103
+ "epoch": 0.546875,
104
+ "grad_norm": 1.5317492485046387,
105
+ "learning_rate": 1.98125e-05,
106
+ "loss": 0.4383,
107
+ "step": 350
108
+ },
109
+ {
110
+ "epoch": 0.5859375,
111
+ "grad_norm": 51.39152908325195,
112
+ "learning_rate": 1.963888888888889e-05,
113
+ "loss": 0.4716,
114
+ "step": 375
115
+ },
116
+ {
117
+ "epoch": 0.625,
118
+ "grad_norm": 0.5919365882873535,
119
+ "learning_rate": 1.946527777777778e-05,
120
+ "loss": 0.2496,
121
+ "step": 400
122
+ },
123
+ {
124
+ "epoch": 0.6640625,
125
+ "grad_norm": 0.27208948135375977,
126
+ "learning_rate": 1.9291666666666667e-05,
127
+ "loss": 0.326,
128
+ "step": 425
129
+ },
130
+ {
131
+ "epoch": 0.703125,
132
+ "grad_norm": 0.17534124851226807,
133
+ "learning_rate": 1.9118055555555557e-05,
134
+ "loss": 0.3539,
135
+ "step": 450
136
+ },
137
+ {
138
+ "epoch": 0.7421875,
139
+ "grad_norm": 0.4635702967643738,
140
+ "learning_rate": 1.8944444444444447e-05,
141
+ "loss": 0.3726,
142
+ "step": 475
143
+ },
144
+ {
145
+ "epoch": 0.78125,
146
+ "grad_norm": 18.82594108581543,
147
+ "learning_rate": 1.8770833333333337e-05,
148
+ "loss": 0.5068,
149
+ "step": 500
150
+ },
151
+ {
152
+ "epoch": 0.8203125,
153
+ "grad_norm": 24.958038330078125,
154
+ "learning_rate": 1.8604166666666667e-05,
155
+ "loss": 0.3299,
156
+ "step": 525
157
+ },
158
+ {
159
+ "epoch": 0.859375,
160
+ "grad_norm": 61.970924377441406,
161
+ "learning_rate": 1.8430555555555557e-05,
162
+ "loss": 0.5022,
163
+ "step": 550
164
+ },
165
+ {
166
+ "epoch": 0.8984375,
167
+ "grad_norm": 0.2635006606578827,
168
+ "learning_rate": 1.8256944444444447e-05,
169
+ "loss": 0.4954,
170
+ "step": 575
171
+ },
172
+ {
173
+ "epoch": 0.9375,
174
+ "grad_norm": 6.639841556549072,
175
+ "learning_rate": 1.8083333333333334e-05,
176
+ "loss": 0.3813,
177
+ "step": 600
178
+ },
179
+ {
180
+ "epoch": 0.9765625,
181
+ "grad_norm": 2.1155128479003906,
182
+ "learning_rate": 1.7909722222222223e-05,
183
+ "loss": 0.4112,
184
+ "step": 625
185
+ },
186
+ {
187
+ "epoch": 1.0,
188
+ "eval_accuracy": 0.8675,
189
+ "eval_f1_macro": 0.8671356661653469,
190
+ "eval_f1_micro": 0.8675,
191
+ "eval_f1_weighted": 0.8671356661653468,
192
+ "eval_loss": 0.5370703339576721,
193
+ "eval_precision_macro": 0.8730718238693385,
194
+ "eval_precision_micro": 0.8675,
195
+ "eval_precision_weighted": 0.8730718238693385,
196
+ "eval_recall_macro": 0.8674999999999999,
197
+ "eval_recall_micro": 0.8675,
198
+ "eval_recall_weighted": 0.8675,
199
+ "eval_runtime": 6.2872,
200
+ "eval_samples_per_second": 127.242,
201
+ "eval_steps_per_second": 63.621,
202
+ "step": 640
203
+ },
204
+ {
205
+ "epoch": 1.015625,
206
+ "grad_norm": 31.680767059326172,
207
+ "learning_rate": 1.773611111111111e-05,
208
+ "loss": 0.3012,
209
+ "step": 650
210
+ },
211
+ {
212
+ "epoch": 1.0546875,
213
+ "grad_norm": 31.29473114013672,
214
+ "learning_rate": 1.7562500000000003e-05,
215
+ "loss": 0.2361,
216
+ "step": 675
217
+ },
218
+ {
219
+ "epoch": 1.09375,
220
+ "grad_norm": 0.18347026407718658,
221
+ "learning_rate": 1.738888888888889e-05,
222
+ "loss": 0.2887,
223
+ "step": 700
224
+ },
225
+ {
226
+ "epoch": 1.1328125,
227
+ "grad_norm": 1.14323091506958,
228
+ "learning_rate": 1.721527777777778e-05,
229
+ "loss": 0.2525,
230
+ "step": 725
231
+ },
232
+ {
233
+ "epoch": 1.171875,
234
+ "grad_norm": 0.09450375288724899,
235
+ "learning_rate": 1.7041666666666666e-05,
236
+ "loss": 0.3185,
237
+ "step": 750
238
+ },
239
+ {
240
+ "epoch": 1.2109375,
241
+ "grad_norm": 0.28490039706230164,
242
+ "learning_rate": 1.6868055555555556e-05,
243
+ "loss": 0.2852,
244
+ "step": 775
245
+ },
246
+ {
247
+ "epoch": 1.25,
248
+ "grad_norm": 0.4697229862213135,
249
+ "learning_rate": 1.6694444444444446e-05,
250
+ "loss": 0.4275,
251
+ "step": 800
252
+ },
253
+ {
254
+ "epoch": 1.2890625,
255
+ "grad_norm": 0.09609019011259079,
256
+ "learning_rate": 1.6520833333333336e-05,
257
+ "loss": 0.0966,
258
+ "step": 825
259
+ },
260
+ {
261
+ "epoch": 1.328125,
262
+ "grad_norm": 34.88169479370117,
263
+ "learning_rate": 1.6347222222222223e-05,
264
+ "loss": 0.3033,
265
+ "step": 850
266
+ },
267
+ {
268
+ "epoch": 1.3671875,
269
+ "grad_norm": 45.051490783691406,
270
+ "learning_rate": 1.6173611111111113e-05,
271
+ "loss": 0.4049,
272
+ "step": 875
273
+ },
274
+ {
275
+ "epoch": 1.40625,
276
+ "grad_norm": 0.3537954092025757,
277
+ "learning_rate": 1.6000000000000003e-05,
278
+ "loss": 0.2878,
279
+ "step": 900
280
+ },
281
+ {
282
+ "epoch": 1.4453125,
283
+ "grad_norm": 91.70577239990234,
284
+ "learning_rate": 1.582638888888889e-05,
285
+ "loss": 0.2305,
286
+ "step": 925
287
+ },
288
+ {
289
+ "epoch": 1.484375,
290
+ "grad_norm": 0.0591551698744297,
291
+ "learning_rate": 1.565277777777778e-05,
292
+ "loss": 0.2653,
293
+ "step": 950
294
+ },
295
+ {
296
+ "epoch": 1.5234375,
297
+ "grad_norm": 13.28045654296875,
298
+ "learning_rate": 1.5479166666666666e-05,
299
+ "loss": 0.3921,
300
+ "step": 975
301
+ },
302
+ {
303
+ "epoch": 1.5625,
304
+ "grad_norm": 0.16305220127105713,
305
+ "learning_rate": 1.5305555555555556e-05,
306
+ "loss": 0.1752,
307
+ "step": 1000
308
+ },
309
+ {
310
+ "epoch": 1.6015625,
311
+ "grad_norm": 0.06767012178897858,
312
+ "learning_rate": 1.5131944444444446e-05,
313
+ "loss": 0.3607,
314
+ "step": 1025
315
+ },
316
+ {
317
+ "epoch": 1.640625,
318
+ "grad_norm": 1.8044508695602417,
319
+ "learning_rate": 1.4958333333333336e-05,
320
+ "loss": 0.2305,
321
+ "step": 1050
322
+ },
323
+ {
324
+ "epoch": 1.6796875,
325
+ "grad_norm": 0.15962672233581543,
326
+ "learning_rate": 1.4784722222222224e-05,
327
+ "loss": 0.3076,
328
+ "step": 1075
329
+ },
330
+ {
331
+ "epoch": 1.71875,
332
+ "grad_norm": 48.03413391113281,
333
+ "learning_rate": 1.4611111111111112e-05,
334
+ "loss": 0.3941,
335
+ "step": 1100
336
+ },
337
+ {
338
+ "epoch": 1.7578125,
339
+ "grad_norm": 20.047348022460938,
340
+ "learning_rate": 1.4437500000000002e-05,
341
+ "loss": 0.2488,
342
+ "step": 1125
343
+ },
344
+ {
345
+ "epoch": 1.796875,
346
+ "grad_norm": 0.09602449089288712,
347
+ "learning_rate": 1.426388888888889e-05,
348
+ "loss": 0.3055,
349
+ "step": 1150
350
+ },
351
+ {
352
+ "epoch": 1.8359375,
353
+ "grad_norm": 6.260819435119629,
354
+ "learning_rate": 1.4090277777777778e-05,
355
+ "loss": 0.2926,
356
+ "step": 1175
357
+ },
358
+ {
359
+ "epoch": 1.875,
360
+ "grad_norm": 0.12005895376205444,
361
+ "learning_rate": 1.3916666666666667e-05,
362
+ "loss": 0.4649,
363
+ "step": 1200
364
+ },
365
+ {
366
+ "epoch": 1.9140625,
367
+ "grad_norm": 6.192780494689941,
368
+ "learning_rate": 1.3743055555555555e-05,
369
+ "loss": 0.2597,
370
+ "step": 1225
371
+ },
372
+ {
373
+ "epoch": 1.953125,
374
+ "grad_norm": 0.2921382188796997,
375
+ "learning_rate": 1.3576388888888889e-05,
376
+ "loss": 0.3106,
377
+ "step": 1250
378
+ },
379
+ {
380
+ "epoch": 1.9921875,
381
+ "grad_norm": 6.799332618713379,
382
+ "learning_rate": 1.3402777777777779e-05,
383
+ "loss": 0.501,
384
+ "step": 1275
385
+ },
386
+ {
387
+ "epoch": 2.0,
388
+ "eval_accuracy": 0.9075,
389
+ "eval_f1_macro": 0.9076167120902879,
390
+ "eval_f1_micro": 0.9075,
391
+ "eval_f1_weighted": 0.9076167120902879,
392
+ "eval_loss": 0.3858742415904999,
393
+ "eval_precision_macro": 0.9080215201299329,
394
+ "eval_precision_micro": 0.9075,
395
+ "eval_precision_weighted": 0.9080215201299328,
396
+ "eval_recall_macro": 0.9075,
397
+ "eval_recall_micro": 0.9075,
398
+ "eval_recall_weighted": 0.9075,
399
+ "eval_runtime": 6.273,
400
+ "eval_samples_per_second": 127.53,
401
+ "eval_steps_per_second": 63.765,
402
+ "step": 1280
403
+ }
404
+ ],
405
+ "logging_steps": 25,
406
+ "max_steps": 3200,
407
+ "num_input_tokens_seen": 0,
408
+ "num_train_epochs": 5,
409
+ "save_steps": 500,
410
+ "total_flos": 1683940992614400.0,
411
+ "train_batch_size": 1,
412
+ "trial_name": null,
413
+ "trial_params": null
414
+ }
checkpoint-1280/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1349caa3c06b3dab2222644d11cfe7f6c2a4272420f61a620f2b6f413c000a56
3
+ size 5048
config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google-bert/bert-base-uncased",
3
+ "_num_labels": 4,
4
+ "architectures": [
5
+ "BertForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "classifier_dropout": null,
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "0",
15
+ "1": "1",
16
+ "2": "2",
17
+ "3": "3"
18
+ },
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 3072,
21
+ "label2id": {
22
+ "0": 0,
23
+ "1": 1,
24
+ "2": 2,
25
+ "3": 3
26
+ },
27
+ "layer_norm_eps": 1e-12,
28
+ "max_position_embeddings": 512,
29
+ "model_type": "bert",
30
+ "num_attention_heads": 12,
31
+ "num_hidden_layers": 12,
32
+ "pad_token_id": 0,
33
+ "position_embedding_type": "absolute",
34
+ "problem_type": "single_label_classification",
35
+ "torch_dtype": "float32",
36
+ "transformers_version": "4.40.1",
37
+ "type_vocab_size": 2,
38
+ "use_cache": true,
39
+ "vocab_size": 30522
40
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70dac96b3cffe7ac593c0a07db99628475596fb150dfbd07ff147c6c27bcaa34
3
+ size 437964800
runs/May09_14-18-46_fdc05e5c852d/events.out.tfevents.1715264326.fdc05e5c852d.2963.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:66bc1df7edf6b979ffd05931cc26173f93c7095c9822538331e3fafda8f18dcc
3
- size 27236
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:07bbdbc224484ec53913be3aec611a6231245b57294145f274196f7f1933e213
3
+ size 36430
runs/May09_14-18-46_fdc05e5c852d/events.out.tfevents.1715265164.fdc05e5c852d.2963.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:02c496983895cfa348e3f92b0ed76482b793fb7c4a3bc2544ab8362da9a3514b
3
+ size 921
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "mask_token": "[MASK]",
48
+ "model_max_length": 512,
49
+ "pad_token": "[PAD]",
50
+ "sep_token": "[SEP]",
51
+ "strip_accents": null,
52
+ "tokenize_chinese_chars": true,
53
+ "tokenizer_class": "BertTokenizer",
54
+ "unk_token": "[UNK]"
55
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1349caa3c06b3dab2222644d11cfe7f6c2a4272420f61a620f2b6f413c000a56
3
+ size 5048
training_params.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "few-shot-learning-classification-bert-sm-1K-1/autotrain-data",
3
+ "model": "google-bert/bert-base-uncased",
4
+ "lr": 2e-05,
5
+ "epochs": 5,
6
+ "max_seq_length": 512,
7
+ "batch_size": 1,
8
+ "warmup_ratio": 0.1,
9
+ "gradient_accumulation": 5,
10
+ "optimizer": "adamw_torch",
11
+ "scheduler": "linear",
12
+ "weight_decay": 0.01,
13
+ "max_grad_norm": 1.0,
14
+ "seed": 42,
15
+ "train_split": "train",
16
+ "valid_split": "validation",
17
+ "text_column": "autotrain_text",
18
+ "target_column": "autotrain_label",
19
+ "logging_steps": -1,
20
+ "project_name": "few-shot-learning-classification-bert-sm-1K-1",
21
+ "auto_find_batch_size": false,
22
+ "mixed_precision": "fp16",
23
+ "save_total_limit": 1,
24
+ "push_to_hub": true,
25
+ "evaluation_strategy": "epoch",
26
+ "username": "pravin691983",
27
+ "log": "tensorboard"
28
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff