pruhtopia commited on
Commit
6307b87
1 Parent(s): 0192f0f

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
+ - autotrain-rqsu1-nelrs/autotrain-data
10
+ ---
11
+
12
+ # Model Trained Using AutoTrain
13
+
14
+ - Problem type: Text Classification
15
+
16
+ ## Validation Metrics
17
+ loss: 0.8727797865867615
18
+
19
+ f1_macro: 0.4743843561639563
20
+
21
+ f1_micro: 0.7148333333333333
22
+
23
+ f1_weighted: 0.6973841930196186
24
+
25
+ precision_macro: 0.689196184834718
26
+
27
+ precision_micro: 0.7148333333333333
28
+
29
+ precision_weighted: 0.7078896728033317
30
+
31
+ recall_macro: 0.41641019062275997
32
+
33
+ recall_micro: 0.7148333333333333
34
+
35
+ recall_weighted: 0.7148333333333333
36
+
37
+ accuracy: 0.7148333333333333
checkpoint-6000/config.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google-bert/bert-base-uncased",
3
+ "_num_labels": 11,
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
+ "4": 4,
19
+ "5": 5,
20
+ "6": 6,
21
+ "7": 7,
22
+ "8": 8,
23
+ "9": 9,
24
+ "10": 10
25
+ },
26
+ "initializer_range": 0.02,
27
+ "intermediate_size": 3072,
28
+ "label2id": {
29
+ "0": 0,
30
+ "1": 1,
31
+ "2": 2,
32
+ "3": 3,
33
+ "4": 4,
34
+ "5": 5,
35
+ "6": 6,
36
+ "7": 7,
37
+ "8": 8,
38
+ "9": 9,
39
+ "10": 10
40
+ },
41
+ "layer_norm_eps": 1e-12,
42
+ "max_position_embeddings": 512,
43
+ "model_type": "bert",
44
+ "num_attention_heads": 12,
45
+ "num_hidden_layers": 12,
46
+ "pad_token_id": 0,
47
+ "position_embedding_type": "absolute",
48
+ "problem_type": "single_label_classification",
49
+ "torch_dtype": "float32",
50
+ "transformers_version": "4.37.0",
51
+ "type_vocab_size": 2,
52
+ "use_cache": true,
53
+ "vocab_size": 30522
54
+ }
checkpoint-6000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d817e81efc74d4b7fc1dcfd07d035502ffc6996789aa45ffd45bcb67e0af4eb
3
+ size 437986332
checkpoint-6000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4311cfc2d6326c7ccfda52d87d2b2ce9c9cdbd96a9feb65ec87a2c9003c84697
3
+ size 876093690
checkpoint-6000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2e8147980a4412e83fcb06adcc8b8b505b05ff43aff4d87d935431085bb0d3c1
3
+ size 14244
checkpoint-6000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:76f57b12b003374c71fc38620866b4630c864d7d26196f7fb1d285d7f81116c4
3
+ size 1064
checkpoint-6000/trainer_state.json ADDED
@@ -0,0 +1,297 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8727797865867615,
3
+ "best_model_checkpoint": "autotrain-rqsu1-nelrs/checkpoint-6000",
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 6000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05,
13
+ "learning_rate": 8.222222222222223e-06,
14
+ "loss": 2.2551,
15
+ "step": 150
16
+ },
17
+ {
18
+ "epoch": 0.1,
19
+ "learning_rate": 1.65e-05,
20
+ "loss": 1.533,
21
+ "step": 300
22
+ },
23
+ {
24
+ "epoch": 0.15,
25
+ "learning_rate": 2.4833333333333335e-05,
26
+ "loss": 1.3785,
27
+ "step": 450
28
+ },
29
+ {
30
+ "epoch": 0.2,
31
+ "learning_rate": 3.316666666666667e-05,
32
+ "loss": 1.2836,
33
+ "step": 600
34
+ },
35
+ {
36
+ "epoch": 0.25,
37
+ "learning_rate": 4.15e-05,
38
+ "loss": 1.2161,
39
+ "step": 750
40
+ },
41
+ {
42
+ "epoch": 0.3,
43
+ "learning_rate": 4.9833333333333336e-05,
44
+ "loss": 1.1853,
45
+ "step": 900
46
+ },
47
+ {
48
+ "epoch": 0.35,
49
+ "learning_rate": 4.9092592592592595e-05,
50
+ "loss": 1.1863,
51
+ "step": 1050
52
+ },
53
+ {
54
+ "epoch": 0.4,
55
+ "learning_rate": 4.8166666666666674e-05,
56
+ "loss": 1.1578,
57
+ "step": 1200
58
+ },
59
+ {
60
+ "epoch": 0.45,
61
+ "learning_rate": 4.724074074074074e-05,
62
+ "loss": 1.1281,
63
+ "step": 1350
64
+ },
65
+ {
66
+ "epoch": 0.5,
67
+ "learning_rate": 4.631481481481481e-05,
68
+ "loss": 1.0885,
69
+ "step": 1500
70
+ },
71
+ {
72
+ "epoch": 0.55,
73
+ "learning_rate": 4.538888888888889e-05,
74
+ "loss": 1.0728,
75
+ "step": 1650
76
+ },
77
+ {
78
+ "epoch": 0.6,
79
+ "learning_rate": 4.4462962962962966e-05,
80
+ "loss": 1.0805,
81
+ "step": 1800
82
+ },
83
+ {
84
+ "epoch": 0.65,
85
+ "learning_rate": 4.353703703703704e-05,
86
+ "loss": 1.0485,
87
+ "step": 1950
88
+ },
89
+ {
90
+ "epoch": 0.7,
91
+ "learning_rate": 4.261111111111111e-05,
92
+ "loss": 1.0415,
93
+ "step": 2100
94
+ },
95
+ {
96
+ "epoch": 0.75,
97
+ "learning_rate": 4.168518518518519e-05,
98
+ "loss": 0.9634,
99
+ "step": 2250
100
+ },
101
+ {
102
+ "epoch": 0.8,
103
+ "learning_rate": 4.0759259259259264e-05,
104
+ "loss": 0.9934,
105
+ "step": 2400
106
+ },
107
+ {
108
+ "epoch": 0.85,
109
+ "learning_rate": 3.9839506172839506e-05,
110
+ "loss": 0.9743,
111
+ "step": 2550
112
+ },
113
+ {
114
+ "epoch": 0.9,
115
+ "learning_rate": 3.8913580246913585e-05,
116
+ "loss": 1.0402,
117
+ "step": 2700
118
+ },
119
+ {
120
+ "epoch": 0.95,
121
+ "learning_rate": 3.798765432098765e-05,
122
+ "loss": 0.9291,
123
+ "step": 2850
124
+ },
125
+ {
126
+ "epoch": 1.0,
127
+ "learning_rate": 3.706172839506173e-05,
128
+ "loss": 0.999,
129
+ "step": 3000
130
+ },
131
+ {
132
+ "epoch": 1.0,
133
+ "eval_accuracy": 0.6781666666666667,
134
+ "eval_f1_macro": 0.417421299699202,
135
+ "eval_f1_micro": 0.6781666666666667,
136
+ "eval_f1_weighted": 0.6526203782124326,
137
+ "eval_loss": 0.9398497939109802,
138
+ "eval_precision_macro": 0.53233579791898,
139
+ "eval_precision_micro": 0.6781666666666667,
140
+ "eval_precision_weighted": 0.6686669761134056,
141
+ "eval_recall_macro": 0.37103282997495,
142
+ "eval_recall_micro": 0.6781666666666667,
143
+ "eval_recall_weighted": 0.6781666666666667,
144
+ "eval_runtime": 13.8601,
145
+ "eval_samples_per_second": 432.897,
146
+ "eval_steps_per_second": 27.056,
147
+ "step": 3000
148
+ },
149
+ {
150
+ "epoch": 1.05,
151
+ "learning_rate": 3.6135802469135804e-05,
152
+ "loss": 0.8418,
153
+ "step": 3150
154
+ },
155
+ {
156
+ "epoch": 1.1,
157
+ "learning_rate": 3.520987654320988e-05,
158
+ "loss": 0.7844,
159
+ "step": 3300
160
+ },
161
+ {
162
+ "epoch": 1.15,
163
+ "learning_rate": 3.428395061728395e-05,
164
+ "loss": 0.853,
165
+ "step": 3450
166
+ },
167
+ {
168
+ "epoch": 1.2,
169
+ "learning_rate": 3.335802469135802e-05,
170
+ "loss": 0.8219,
171
+ "step": 3600
172
+ },
173
+ {
174
+ "epoch": 1.25,
175
+ "learning_rate": 3.24320987654321e-05,
176
+ "loss": 0.8721,
177
+ "step": 3750
178
+ },
179
+ {
180
+ "epoch": 1.3,
181
+ "learning_rate": 3.1506172839506175e-05,
182
+ "loss": 0.7844,
183
+ "step": 3900
184
+ },
185
+ {
186
+ "epoch": 1.35,
187
+ "learning_rate": 3.058024691358025e-05,
188
+ "loss": 0.8645,
189
+ "step": 4050
190
+ },
191
+ {
192
+ "epoch": 1.4,
193
+ "learning_rate": 2.965432098765432e-05,
194
+ "loss": 0.7823,
195
+ "step": 4200
196
+ },
197
+ {
198
+ "epoch": 1.45,
199
+ "learning_rate": 2.8728395061728397e-05,
200
+ "loss": 0.7494,
201
+ "step": 4350
202
+ },
203
+ {
204
+ "epoch": 1.5,
205
+ "learning_rate": 2.7802469135802474e-05,
206
+ "loss": 0.8125,
207
+ "step": 4500
208
+ },
209
+ {
210
+ "epoch": 1.55,
211
+ "learning_rate": 2.6876543209876543e-05,
212
+ "loss": 0.7879,
213
+ "step": 4650
214
+ },
215
+ {
216
+ "epoch": 1.6,
217
+ "learning_rate": 2.595061728395062e-05,
218
+ "loss": 0.8092,
219
+ "step": 4800
220
+ },
221
+ {
222
+ "epoch": 1.65,
223
+ "learning_rate": 2.5024691358024692e-05,
224
+ "loss": 0.7535,
225
+ "step": 4950
226
+ },
227
+ {
228
+ "epoch": 1.7,
229
+ "learning_rate": 2.4098765432098765e-05,
230
+ "loss": 0.7787,
231
+ "step": 5100
232
+ },
233
+ {
234
+ "epoch": 1.75,
235
+ "learning_rate": 2.317283950617284e-05,
236
+ "loss": 0.8109,
237
+ "step": 5250
238
+ },
239
+ {
240
+ "epoch": 1.8,
241
+ "learning_rate": 2.2246913580246914e-05,
242
+ "loss": 0.7853,
243
+ "step": 5400
244
+ },
245
+ {
246
+ "epoch": 1.85,
247
+ "learning_rate": 2.132098765432099e-05,
248
+ "loss": 0.7999,
249
+ "step": 5550
250
+ },
251
+ {
252
+ "epoch": 1.9,
253
+ "learning_rate": 2.0395061728395064e-05,
254
+ "loss": 0.7545,
255
+ "step": 5700
256
+ },
257
+ {
258
+ "epoch": 1.95,
259
+ "learning_rate": 1.9469135802469137e-05,
260
+ "loss": 0.7805,
261
+ "step": 5850
262
+ },
263
+ {
264
+ "epoch": 2.0,
265
+ "learning_rate": 1.854320987654321e-05,
266
+ "loss": 0.741,
267
+ "step": 6000
268
+ },
269
+ {
270
+ "epoch": 2.0,
271
+ "eval_accuracy": 0.7148333333333333,
272
+ "eval_f1_macro": 0.4743843561639563,
273
+ "eval_f1_micro": 0.7148333333333333,
274
+ "eval_f1_weighted": 0.6973841930196186,
275
+ "eval_loss": 0.8727797865867615,
276
+ "eval_precision_macro": 0.689196184834718,
277
+ "eval_precision_micro": 0.7148333333333333,
278
+ "eval_precision_weighted": 0.7078896728033317,
279
+ "eval_recall_macro": 0.41641019062275997,
280
+ "eval_recall_micro": 0.7148333333333333,
281
+ "eval_recall_weighted": 0.7148333333333333,
282
+ "eval_runtime": 13.8166,
283
+ "eval_samples_per_second": 434.26,
284
+ "eval_steps_per_second": 27.141,
285
+ "step": 6000
286
+ }
287
+ ],
288
+ "logging_steps": 150,
289
+ "max_steps": 9000,
290
+ "num_input_tokens_seen": 0,
291
+ "num_train_epochs": 3,
292
+ "save_steps": 500,
293
+ "total_flos": 3157587800064000.0,
294
+ "train_batch_size": 8,
295
+ "trial_name": null,
296
+ "trial_params": null
297
+ }
checkpoint-6000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6da5e30a3ef2a7c8718bce9ea0feed3aea75852257f56c9940fa20993d1343c2
3
+ size 4728
config.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google-bert/bert-base-uncased",
3
+ "_num_labels": 11,
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
+ "4": 4,
19
+ "5": 5,
20
+ "6": 6,
21
+ "7": 7,
22
+ "8": 8,
23
+ "9": 9,
24
+ "10": 10
25
+ },
26
+ "initializer_range": 0.02,
27
+ "intermediate_size": 3072,
28
+ "label2id": {
29
+ "0": 0,
30
+ "1": 1,
31
+ "2": 2,
32
+ "3": 3,
33
+ "4": 4,
34
+ "5": 5,
35
+ "6": 6,
36
+ "7": 7,
37
+ "8": 8,
38
+ "9": 9,
39
+ "10": 10
40
+ },
41
+ "layer_norm_eps": 1e-12,
42
+ "max_position_embeddings": 512,
43
+ "model_type": "bert",
44
+ "num_attention_heads": 12,
45
+ "num_hidden_layers": 12,
46
+ "pad_token_id": 0,
47
+ "position_embedding_type": "absolute",
48
+ "problem_type": "single_label_classification",
49
+ "torch_dtype": "float32",
50
+ "transformers_version": "4.37.0",
51
+ "type_vocab_size": 2,
52
+ "use_cache": true,
53
+ "vocab_size": 30522
54
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d817e81efc74d4b7fc1dcfd07d035502ffc6996789aa45ffd45bcb67e0af4eb
3
+ size 437986332
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": 1000000000000000019884624838656,
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 sha256:6da5e30a3ef2a7c8718bce9ea0feed3aea75852257f56c9940fa20993d1343c2
3
+ size 4728
training_params.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "autotrain-rqsu1-nelrs/autotrain-data",
3
+ "model": "google-bert/bert-base-uncased",
4
+ "lr": 5e-05,
5
+ "epochs": 3,
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-rqsu1-nelrs",
21
+ "auto_find_batch_size": false,
22
+ "mixed_precision": "fp16",
23
+ "save_total_limit": 1,
24
+ "save_strategy": "epoch",
25
+ "push_to_hub": true,
26
+ "repo_id": "pruhtopia/autotrain-rqsu1-nelrs",
27
+ "evaluation_strategy": "epoch",
28
+ "username": "pruhtopia",
29
+ "log": "none"
30
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff