vuk123 commited on
Commit
4f2cb73
·
verified ·
1 Parent(s): ade38d1

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - text-classification
6
+ base_model: FacebookAI/roberta-base
7
+ widget:
8
+ - text: "I love AutoTrain"
9
+ ---
10
+
11
+ # Model Trained Using AutoTrain
12
+
13
+ - Problem type: Text Classification
14
+
15
+ ## Validation Metrics
16
+ loss: 0.4598750174045563
17
+
18
+ f1: 0.8571428571428571
19
+
20
+ precision: 0.75
21
+
22
+ recall: 1.0
23
+
24
+ auc: 0.8781163434903048
25
+
26
+ accuracy: 0.75
checkpoint-38/config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "FacebookAI/roberta-base",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "RobertaForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "bos_token_id": 0,
9
+ "classifier_dropout": null,
10
+ "eos_token_id": 2,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.1,
13
+ "hidden_size": 768,
14
+ "id2label": {
15
+ "0": "0",
16
+ "1": "1"
17
+ },
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 3072,
20
+ "label2id": {
21
+ "0": 0,
22
+ "1": 1
23
+ },
24
+ "layer_norm_eps": 1e-05,
25
+ "max_position_embeddings": 514,
26
+ "model_type": "roberta",
27
+ "num_attention_heads": 12,
28
+ "num_hidden_layers": 12,
29
+ "pad_token_id": 1,
30
+ "position_embedding_type": "absolute",
31
+ "problem_type": "single_label_classification",
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.41.0",
34
+ "type_vocab_size": 1,
35
+ "use_cache": true,
36
+ "vocab_size": 50265
37
+ }
checkpoint-38/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f81de18d2363974f2198711d0e06e4f947f86478c4f10c1a05e447224f34f22
3
+ size 498612824
checkpoint-38/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:538619ffcbc89151532b77816bc81a76825bf80d390ae08f89f570a495ab05ad
3
+ size 997345530
checkpoint-38/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:004ca43bf24123cf116fc7ee9350cd9f7654c0b06c98651da916199fb3cba842
3
+ size 14244
checkpoint-38/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5550347d8f530db7c1e04a6e48fecf22dacbcf84067f2581a5f19409e4f2c595
3
+ size 1064
checkpoint-38/trainer_state.json ADDED
@@ -0,0 +1,321 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.4598750174045563,
3
+ "best_model_checkpoint": "autotrain-tes2/checkpoint-38",
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 38,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02631578947368421,
13
+ "grad_norm": 8.360681533813477,
14
+ "learning_rate": 1.3157894736842106e-06,
15
+ "loss": 0.7789,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.05263157894736842,
20
+ "grad_norm": 3.473684072494507,
21
+ "learning_rate": 2.631578947368421e-06,
22
+ "loss": 0.7014,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.07894736842105263,
27
+ "grad_norm": 4.280536651611328,
28
+ "learning_rate": 3.9473684210526315e-06,
29
+ "loss": 0.7496,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.10526315789473684,
34
+ "grad_norm": 5.139090538024902,
35
+ "learning_rate": 5.263157894736842e-06,
36
+ "loss": 0.7482,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.13157894736842105,
41
+ "grad_norm": 7.595941543579102,
42
+ "learning_rate": 6.578947368421053e-06,
43
+ "loss": 0.7648,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.15789473684210525,
48
+ "grad_norm": 6.151755332946777,
49
+ "learning_rate": 7.894736842105263e-06,
50
+ "loss": 0.6708,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.18421052631578946,
55
+ "grad_norm": 4.414488792419434,
56
+ "learning_rate": 9.210526315789474e-06,
57
+ "loss": 0.6814,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.21052631578947367,
62
+ "grad_norm": 2.1186416149139404,
63
+ "learning_rate": 1.0526315789473684e-05,
64
+ "loss": 0.6711,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.23684210526315788,
69
+ "grad_norm": 5.158999919891357,
70
+ "learning_rate": 1.1842105263157895e-05,
71
+ "loss": 0.7188,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.2631578947368421,
76
+ "grad_norm": 2.7816195487976074,
77
+ "learning_rate": 1.3157894736842106e-05,
78
+ "loss": 0.6272,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.2894736842105263,
83
+ "grad_norm": 3.866028308868408,
84
+ "learning_rate": 1.4473684210526317e-05,
85
+ "loss": 0.6516,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.3157894736842105,
90
+ "grad_norm": 5.54939079284668,
91
+ "learning_rate": 1.5789473684210526e-05,
92
+ "loss": 0.6311,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.34210526315789475,
97
+ "grad_norm": 1.7745245695114136,
98
+ "learning_rate": 1.7105263157894737e-05,
99
+ "loss": 0.648,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.3684210526315789,
104
+ "grad_norm": 5.726246356964111,
105
+ "learning_rate": 1.8421052631578947e-05,
106
+ "loss": 0.721,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.39473684210526316,
111
+ "grad_norm": 3.599973678588867,
112
+ "learning_rate": 1.9736842105263158e-05,
113
+ "loss": 0.639,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.42105263157894735,
118
+ "grad_norm": 1.8797402381896973,
119
+ "learning_rate": 2.105263157894737e-05,
120
+ "loss": 0.6811,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.4473684210526316,
125
+ "grad_norm": 2.823983669281006,
126
+ "learning_rate": 2.236842105263158e-05,
127
+ "loss": 0.5753,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.47368421052631576,
132
+ "grad_norm": 4.9799909591674805,
133
+ "learning_rate": 2.368421052631579e-05,
134
+ "loss": 0.5373,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.5,
139
+ "grad_norm": 3.066366672515869,
140
+ "learning_rate": 2.5e-05,
141
+ "loss": 0.4943,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.5263157894736842,
146
+ "grad_norm": 2.1961863040924072,
147
+ "learning_rate": 2.6315789473684212e-05,
148
+ "loss": 0.6783,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.5526315789473685,
153
+ "grad_norm": 4.6081390380859375,
154
+ "learning_rate": 2.7631578947368426e-05,
155
+ "loss": 0.355,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.5789473684210527,
160
+ "grad_norm": Infinity,
161
+ "learning_rate": 2.7631578947368426e-05,
162
+ "loss": 0.5158,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.6052631578947368,
167
+ "grad_norm": NaN,
168
+ "learning_rate": 2.7631578947368426e-05,
169
+ "loss": 0.5127,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.631578947368421,
174
+ "grad_norm": 6.148653984069824,
175
+ "learning_rate": 2.8947368421052634e-05,
176
+ "loss": 0.3929,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.6578947368421053,
181
+ "grad_norm": 7.018494129180908,
182
+ "learning_rate": 3.0263157894736844e-05,
183
+ "loss": 0.6157,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.6842105263157895,
188
+ "grad_norm": 1.8734830617904663,
189
+ "learning_rate": 3.157894736842105e-05,
190
+ "loss": 0.4951,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.7105263157894737,
195
+ "grad_norm": 2.3880300521850586,
196
+ "learning_rate": 3.289473684210527e-05,
197
+ "loss": 0.327,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.7368421052631579,
202
+ "grad_norm": 1.500815749168396,
203
+ "learning_rate": 3.421052631578947e-05,
204
+ "loss": 0.2797,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.7631578947368421,
209
+ "grad_norm": 3.438194990158081,
210
+ "learning_rate": 3.5526315789473684e-05,
211
+ "loss": 0.4684,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.7894736842105263,
216
+ "grad_norm": 2.816570281982422,
217
+ "learning_rate": 3.6842105263157895e-05,
218
+ "loss": 0.3406,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.8157894736842105,
223
+ "grad_norm": 7.311382293701172,
224
+ "learning_rate": 3.815789473684211e-05,
225
+ "loss": 0.5107,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.8421052631578947,
230
+ "grad_norm": 4.999342918395996,
231
+ "learning_rate": 3.9473684210526316e-05,
232
+ "loss": 0.5008,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.868421052631579,
237
+ "grad_norm": 2.1701626777648926,
238
+ "learning_rate": 4.078947368421053e-05,
239
+ "loss": 0.0727,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.8947368421052632,
244
+ "grad_norm": 13.688937187194824,
245
+ "learning_rate": 4.210526315789474e-05,
246
+ "loss": 0.6574,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.9210526315789473,
251
+ "grad_norm": 26.409658432006836,
252
+ "learning_rate": 4.342105263157895e-05,
253
+ "loss": 1.0675,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.9473684210526315,
258
+ "grad_norm": 2.801671266555786,
259
+ "learning_rate": 4.473684210526316e-05,
260
+ "loss": 0.4416,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.9736842105263158,
265
+ "grad_norm": 8.945662498474121,
266
+ "learning_rate": 4.605263157894737e-05,
267
+ "loss": 0.4885,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 1.0,
272
+ "grad_norm": 17.597484588623047,
273
+ "learning_rate": 4.736842105263158e-05,
274
+ "loss": 0.7419,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 1.0,
279
+ "eval_accuracy": 0.75,
280
+ "eval_auc": 0.8781163434903048,
281
+ "eval_f1": 0.8571428571428571,
282
+ "eval_loss": 0.4598750174045563,
283
+ "eval_precision": 0.75,
284
+ "eval_recall": 1.0,
285
+ "eval_runtime": 0.1072,
286
+ "eval_samples_per_second": 709.107,
287
+ "eval_steps_per_second": 46.652,
288
+ "step": 38
289
+ }
290
+ ],
291
+ "logging_steps": 1,
292
+ "max_steps": 380,
293
+ "num_input_tokens_seen": 0,
294
+ "num_train_epochs": 10,
295
+ "save_steps": 500,
296
+ "stateful_callbacks": {
297
+ "EarlyStoppingCallback": {
298
+ "args": {
299
+ "early_stopping_patience": 5,
300
+ "early_stopping_threshold": 0.01
301
+ },
302
+ "attributes": {
303
+ "early_stopping_patience_counter": 0
304
+ }
305
+ },
306
+ "TrainerControl": {
307
+ "args": {
308
+ "should_epoch_stop": false,
309
+ "should_evaluate": false,
310
+ "should_log": false,
311
+ "should_save": true,
312
+ "should_training_stop": false
313
+ },
314
+ "attributes": {}
315
+ }
316
+ },
317
+ "total_flos": 19930662443520.0,
318
+ "train_batch_size": 8,
319
+ "trial_name": null,
320
+ "trial_params": null
321
+ }
checkpoint-38/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:699ae6fe90a677bca5e9c5e9ad34a9ceced4772247506c42c6136f1ff217f3e1
3
+ size 5112
config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "FacebookAI/roberta-base",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "RobertaForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "bos_token_id": 0,
9
+ "classifier_dropout": null,
10
+ "eos_token_id": 2,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.1,
13
+ "hidden_size": 768,
14
+ "id2label": {
15
+ "0": "0",
16
+ "1": "1"
17
+ },
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 3072,
20
+ "label2id": {
21
+ "0": 0,
22
+ "1": 1
23
+ },
24
+ "layer_norm_eps": 1e-05,
25
+ "max_position_embeddings": 514,
26
+ "model_type": "roberta",
27
+ "num_attention_heads": 12,
28
+ "num_hidden_layers": 12,
29
+ "pad_token_id": 1,
30
+ "position_embedding_type": "absolute",
31
+ "problem_type": "single_label_classification",
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.41.0",
34
+ "type_vocab_size": 1,
35
+ "use_cache": true,
36
+ "vocab_size": 50265
37
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f81de18d2363974f2198711d0e06e4f947f86478c4f10c1a05e447224f34f22
3
+ size 498612824
runs/Jul09_20-53-39_bora-HP-Z8-G4/events.out.tfevents.1720583620.bora-HP-Z8-G4.1320251.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6bcdc7d033dad417fde5ab1de18f1d30eef0fbe02782f4ef4c5e8ee6a341e0f7
3
- size 4924
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:012cf4020419287f091885ddbea22175dea0e4145a32ad990c3276c40cb51a7a
3
+ size 55962
runs/Jul09_20-53-39_bora-HP-Z8-G4/events.out.tfevents.1720583658.bora-HP-Z8-G4.1320251.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:adaab06a3b932f12ec2a6f9517e2743355b97047df52d632aa6d527d46069985
3
+ size 607
special_tokens_map.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "cls_token": "<s>",
4
+ "eos_token": "</s>",
5
+ "mask_token": {
6
+ "content": "<mask>",
7
+ "lstrip": true,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "pad_token": "<pad>",
13
+ "sep_token": "</s>",
14
+ "unk_token": "<unk>"
15
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "</s>",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "50264": {
37
+ "content": "<mask>",
38
+ "lstrip": true,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ }
44
+ },
45
+ "bos_token": "<s>",
46
+ "clean_up_tokenization_spaces": true,
47
+ "cls_token": "<s>",
48
+ "eos_token": "</s>",
49
+ "errors": "replace",
50
+ "mask_token": "<mask>",
51
+ "model_max_length": 512,
52
+ "pad_token": "<pad>",
53
+ "sep_token": "</s>",
54
+ "tokenizer_class": "RobertaTokenizer",
55
+ "trim_offsets": true,
56
+ "unk_token": "<unk>"
57
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:699ae6fe90a677bca5e9c5e9ad34a9ceced4772247506c42c6136f1ff217f3e1
3
+ size 5112
training_params.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "autotrain-tes2/autotrain-data",
3
+ "model": "FacebookAI/roberta-base",
4
+ "lr": 5e-05,
5
+ "epochs": 10,
6
+ "max_seq_length": 128,
7
+ "batch_size": 8,
8
+ "warmup_ratio": 0.1,
9
+ "gradient_accumulation": 1,
10
+ "optimizer": "adamw_torch",
11
+ "scheduler": "linear",
12
+ "weight_decay": 0.0,
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": "autotrain-tes2",
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": "vuk123",
27
+ "log": "tensorboard",
28
+ "early_stopping_patience": 5,
29
+ "early_stopping_threshold": 0.01
30
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff