Md Mushfiqur Rahman commited on
Commit
7673d6e
1 Parent(s): 7e88c11

Upload with huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - canine
5
+ - pretrained-on-english-language
6
+ ---
7
+
8
+ ### How to use
9
+
10
+ Here is how to use this model:
11
+
12
+ ```python
13
+ from transformers import CanineModel
14
+ model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
15
+ ```
all_results.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 77.14,
3
+ "eval_accuracy_score": 0.9460403110617362,
4
+ "eval_f1": 0.6930379746835443,
5
+ "eval_loss": 0.33534663915634155,
6
+ "eval_precision": 0.6596385542168675,
7
+ "eval_recall": 0.73,
8
+ "eval_runtime": 2.5054,
9
+ "eval_samples": 320,
10
+ "eval_samples_per_second": 127.724,
11
+ "eval_steps_per_second": 15.966,
12
+ "test_accuracy_score": 0.9443258204824041,
13
+ "test_f1": 0.6273120818575363,
14
+ "test_loss": 0.3519666790962219,
15
+ "test_precision": 0.5851688693098385,
16
+ "test_recall": 0.6759966072943172,
17
+ "test_runtime": 4.9494,
18
+ "test_samples": 638,
19
+ "test_samples_per_second": 128.905,
20
+ "test_steps_per_second": 16.164,
21
+ "train_loss": 0.041913371869811304,
22
+ "train_runtime": 4784.712,
23
+ "train_samples": 2235,
24
+ "train_samples_per_second": 100.32,
25
+ "train_steps_per_second": 3.135
26
+ }
config.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/canine-c",
3
+ "architectures": [
4
+ "CanineForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 57344,
8
+ "downsampling_rate": 4,
9
+ "eos_token_id": 57345,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "O",
15
+ "1": "B-DATE",
16
+ "2": "I-DATE",
17
+ "3": "B-PER",
18
+ "4": "I-PER",
19
+ "5": "B-ORG",
20
+ "6": "I-ORG",
21
+ "7": "B-LOC",
22
+ "8": "I-LOC"
23
+ },
24
+ "initializer_range": 0.02,
25
+ "intermediate_size": 3072,
26
+ "label2id": {
27
+ "B-DATE": 1,
28
+ "B-LOC": 7,
29
+ "B-ORG": 5,
30
+ "B-PER": 3,
31
+ "I-DATE": 2,
32
+ "I-LOC": 8,
33
+ "I-ORG": 6,
34
+ "I-PER": 4,
35
+ "O": 0
36
+ },
37
+ "layer_norm_eps": 1e-12,
38
+ "local_transformer_stride": 128,
39
+ "max_position_embeddings": 16384,
40
+ "model_type": "canine",
41
+ "num_attention_heads": 12,
42
+ "num_hash_buckets": 16384,
43
+ "num_hash_functions": 8,
44
+ "num_hidden_layers": 12,
45
+ "pad_token_id": 0,
46
+ "torch_dtype": "float32",
47
+ "transformers_version": "4.17.0",
48
+ "type_vocab_size": 16,
49
+ "upsampling_kernel_size": 4,
50
+ "use_cache": true
51
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b849cb3de851298ea2a8193d13bae26398b6d304afaa466456fb55fdaa5df510
3
+ size 528594737
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "\u0000", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
test_predictions.txt ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sep_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "\u0000", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "model_max_length": 2048, "special_tokens_map_file": "/home/mrahma45/.cache/huggingface/transformers/f8be97736b4765e3e8d559b4e7d4f1f531b1621150e5344b600684a27bc84e38.ab71f530366fe02e2834427e7b90198bfd0d573bc4279bfafdb2b95fe2b46dde", "name_or_path": "google/canine-c", "tokenizer_class": "CanineTokenizer"}
trainer_state.json ADDED
@@ -0,0 +1,409 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6930379746835443,
3
+ "best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/canine/canine-base-finetuned-masakhaner-ibo/checkpoint-4000",
4
+ "epoch": 77.14285714285714,
5
+ "global_step": 5400,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 2.86,
12
+ "eval_accuracy_score": 0.9000158704967466,
13
+ "eval_f1": 0.49961449498843485,
14
+ "eval_loss": 0.331222265958786,
15
+ "eval_precision": 0.4648493543758967,
16
+ "eval_recall": 0.54,
17
+ "eval_runtime": 2.4906,
18
+ "eval_samples_per_second": 128.481,
19
+ "eval_steps_per_second": 16.06,
20
+ "step": 200
21
+ },
22
+ {
23
+ "epoch": 5.71,
24
+ "eval_accuracy_score": 0.9298524043802571,
25
+ "eval_f1": 0.6056224899598394,
26
+ "eval_loss": 0.24286046624183655,
27
+ "eval_precision": 0.5844961240310077,
28
+ "eval_recall": 0.6283333333333333,
29
+ "eval_runtime": 2.4939,
30
+ "eval_samples_per_second": 128.313,
31
+ "eval_steps_per_second": 16.039,
32
+ "step": 400
33
+ },
34
+ {
35
+ "epoch": 7.14,
36
+ "learning_rate": 4.865771812080537e-05,
37
+ "loss": 0.3252,
38
+ "step": 500
39
+ },
40
+ {
41
+ "epoch": 8.57,
42
+ "eval_accuracy_score": 0.9366767179812728,
43
+ "eval_f1": 0.6445131375579597,
44
+ "eval_loss": 0.2310349941253662,
45
+ "eval_precision": 0.600864553314121,
46
+ "eval_recall": 0.695,
47
+ "eval_runtime": 2.4876,
48
+ "eval_samples_per_second": 128.637,
49
+ "eval_steps_per_second": 16.08,
50
+ "step": 600
51
+ },
52
+ {
53
+ "epoch": 11.43,
54
+ "eval_accuracy_score": 0.9381050626884622,
55
+ "eval_f1": 0.6501930501930501,
56
+ "eval_loss": 0.22948996722698212,
57
+ "eval_precision": 0.6057553956834533,
58
+ "eval_recall": 0.7016666666666667,
59
+ "eval_runtime": 2.4897,
60
+ "eval_samples_per_second": 128.529,
61
+ "eval_steps_per_second": 16.066,
62
+ "step": 800
63
+ },
64
+ {
65
+ "epoch": 14.29,
66
+ "learning_rate": 4.697986577181208e-05,
67
+ "loss": 0.0722,
68
+ "step": 1000
69
+ },
70
+ {
71
+ "epoch": 14.29,
72
+ "eval_accuracy_score": 0.9406443421679098,
73
+ "eval_f1": 0.6508313539192399,
74
+ "eval_loss": 0.2520008981227875,
75
+ "eval_precision": 0.6199095022624435,
76
+ "eval_recall": 0.685,
77
+ "eval_runtime": 2.4823,
78
+ "eval_samples_per_second": 128.915,
79
+ "eval_steps_per_second": 16.114,
80
+ "step": 1000
81
+ },
82
+ {
83
+ "epoch": 17.14,
84
+ "eval_accuracy_score": 0.9444532613870814,
85
+ "eval_f1": 0.6714399363564041,
86
+ "eval_loss": 0.25240662693977356,
87
+ "eval_precision": 0.6423135464231354,
88
+ "eval_recall": 0.7033333333333334,
89
+ "eval_runtime": 2.482,
90
+ "eval_samples_per_second": 128.93,
91
+ "eval_steps_per_second": 16.116,
92
+ "step": 1200
93
+ },
94
+ {
95
+ "epoch": 20.0,
96
+ "eval_accuracy_score": 0.9408030471353753,
97
+ "eval_f1": 0.6698039215686274,
98
+ "eval_loss": 0.2890109419822693,
99
+ "eval_precision": 0.6325925925925926,
100
+ "eval_recall": 0.7116666666666667,
101
+ "eval_runtime": 2.4863,
102
+ "eval_samples_per_second": 128.707,
103
+ "eval_steps_per_second": 16.088,
104
+ "step": 1400
105
+ },
106
+ {
107
+ "epoch": 21.43,
108
+ "learning_rate": 4.530201342281879e-05,
109
+ "loss": 0.0227,
110
+ "step": 1500
111
+ },
112
+ {
113
+ "epoch": 22.86,
114
+ "eval_accuracy_score": 0.9430249166798921,
115
+ "eval_f1": 0.6810897435897436,
116
+ "eval_loss": 0.2938888967037201,
117
+ "eval_precision": 0.6558641975308642,
118
+ "eval_recall": 0.7083333333333334,
119
+ "eval_runtime": 2.4899,
120
+ "eval_samples_per_second": 128.52,
121
+ "eval_steps_per_second": 16.065,
122
+ "step": 1600
123
+ },
124
+ {
125
+ "epoch": 25.71,
126
+ "eval_accuracy_score": 0.9404856372004444,
127
+ "eval_f1": 0.665090622537431,
128
+ "eval_loss": 0.30078476667404175,
129
+ "eval_precision": 0.6307922272047832,
130
+ "eval_recall": 0.7033333333333334,
131
+ "eval_runtime": 2.4945,
132
+ "eval_samples_per_second": 128.281,
133
+ "eval_steps_per_second": 16.035,
134
+ "step": 1800
135
+ },
136
+ {
137
+ "epoch": 28.57,
138
+ "learning_rate": 4.36241610738255e-05,
139
+ "loss": 0.0104,
140
+ "step": 2000
141
+ },
142
+ {
143
+ "epoch": 28.57,
144
+ "eval_accuracy_score": 0.9468338358990637,
145
+ "eval_f1": 0.6836813611755608,
146
+ "eval_loss": 0.2752661406993866,
147
+ "eval_precision": 0.6378066378066378,
148
+ "eval_recall": 0.7366666666666667,
149
+ "eval_runtime": 2.6818,
150
+ "eval_samples_per_second": 119.321,
151
+ "eval_steps_per_second": 14.915,
152
+ "step": 2000
153
+ },
154
+ {
155
+ "epoch": 31.43,
156
+ "eval_accuracy_score": 0.9441358514521504,
157
+ "eval_f1": 0.6817813765182186,
158
+ "eval_loss": 0.32004353404045105,
159
+ "eval_precision": 0.662992125984252,
160
+ "eval_recall": 0.7016666666666667,
161
+ "eval_runtime": 2.487,
162
+ "eval_samples_per_second": 128.671,
163
+ "eval_steps_per_second": 16.084,
164
+ "step": 2200
165
+ },
166
+ {
167
+ "epoch": 34.29,
168
+ "eval_accuracy_score": 0.9444532613870814,
169
+ "eval_f1": 0.6868525896414344,
170
+ "eval_loss": 0.32289382815361023,
171
+ "eval_precision": 0.6580152671755726,
172
+ "eval_recall": 0.7183333333333334,
173
+ "eval_runtime": 2.4893,
174
+ "eval_samples_per_second": 128.549,
175
+ "eval_steps_per_second": 16.069,
176
+ "step": 2400
177
+ },
178
+ {
179
+ "epoch": 35.71,
180
+ "learning_rate": 4.194630872483222e-05,
181
+ "loss": 0.0065,
182
+ "step": 2500
183
+ },
184
+ {
185
+ "epoch": 37.14,
186
+ "eval_accuracy_score": 0.9444532613870814,
187
+ "eval_f1": 0.6874003189792663,
188
+ "eval_loss": 0.324036180973053,
189
+ "eval_precision": 0.6590214067278287,
190
+ "eval_recall": 0.7183333333333334,
191
+ "eval_runtime": 2.4838,
192
+ "eval_samples_per_second": 128.837,
193
+ "eval_steps_per_second": 16.105,
194
+ "step": 2600
195
+ },
196
+ {
197
+ "epoch": 40.0,
198
+ "eval_accuracy_score": 0.9427075067449611,
199
+ "eval_f1": 0.669848846459825,
200
+ "eval_loss": 0.3424355089664459,
201
+ "eval_precision": 0.6407914764079148,
202
+ "eval_recall": 0.7016666666666667,
203
+ "eval_runtime": 2.489,
204
+ "eval_samples_per_second": 128.566,
205
+ "eval_steps_per_second": 16.071,
206
+ "step": 2800
207
+ },
208
+ {
209
+ "epoch": 42.86,
210
+ "learning_rate": 4.026845637583892e-05,
211
+ "loss": 0.0042,
212
+ "step": 3000
213
+ },
214
+ {
215
+ "epoch": 42.86,
216
+ "eval_accuracy_score": 0.9442945564196159,
217
+ "eval_f1": 0.6758064516129032,
218
+ "eval_loss": 0.33911556005477905,
219
+ "eval_precision": 0.6546875,
220
+ "eval_recall": 0.6983333333333334,
221
+ "eval_runtime": 2.478,
222
+ "eval_samples_per_second": 129.136,
223
+ "eval_steps_per_second": 16.142,
224
+ "step": 3000
225
+ },
226
+ {
227
+ "epoch": 45.71,
228
+ "eval_accuracy_score": 0.9457229011268052,
229
+ "eval_f1": 0.6880877742946709,
230
+ "eval_loss": 0.3264969289302826,
231
+ "eval_precision": 0.6494082840236687,
232
+ "eval_recall": 0.7316666666666667,
233
+ "eval_runtime": 2.4815,
234
+ "eval_samples_per_second": 128.956,
235
+ "eval_steps_per_second": 16.119,
236
+ "step": 3200
237
+ },
238
+ {
239
+ "epoch": 48.57,
240
+ "eval_accuracy_score": 0.9422313918425647,
241
+ "eval_f1": 0.6761904761904762,
242
+ "eval_loss": 0.35728639364242554,
243
+ "eval_precision": 0.6454545454545455,
244
+ "eval_recall": 0.71,
245
+ "eval_runtime": 2.4775,
246
+ "eval_samples_per_second": 129.162,
247
+ "eval_steps_per_second": 16.145,
248
+ "step": 3400
249
+ },
250
+ {
251
+ "epoch": 50.0,
252
+ "learning_rate": 3.859060402684564e-05,
253
+ "loss": 0.0033,
254
+ "step": 3500
255
+ },
256
+ {
257
+ "epoch": 51.43,
258
+ "eval_accuracy_score": 0.9441358514521504,
259
+ "eval_f1": 0.6907051282051282,
260
+ "eval_loss": 0.35023757815361023,
261
+ "eval_precision": 0.6651234567901234,
262
+ "eval_recall": 0.7183333333333334,
263
+ "eval_runtime": 2.477,
264
+ "eval_samples_per_second": 129.186,
265
+ "eval_steps_per_second": 16.148,
266
+ "step": 3600
267
+ },
268
+ {
269
+ "epoch": 54.29,
270
+ "eval_accuracy_score": 0.943977146484685,
271
+ "eval_f1": 0.6825775656324582,
272
+ "eval_loss": 0.3428173363208771,
273
+ "eval_precision": 0.6529680365296804,
274
+ "eval_recall": 0.715,
275
+ "eval_runtime": 2.4863,
276
+ "eval_samples_per_second": 128.705,
277
+ "eval_steps_per_second": 16.088,
278
+ "step": 3800
279
+ },
280
+ {
281
+ "epoch": 57.14,
282
+ "learning_rate": 3.6912751677852356e-05,
283
+ "loss": 0.0024,
284
+ "step": 4000
285
+ },
286
+ {
287
+ "epoch": 57.14,
288
+ "eval_accuracy_score": 0.9460403110617362,
289
+ "eval_f1": 0.6930379746835443,
290
+ "eval_loss": 0.33534663915634155,
291
+ "eval_precision": 0.6596385542168675,
292
+ "eval_recall": 0.73,
293
+ "eval_runtime": 2.4857,
294
+ "eval_samples_per_second": 128.737,
295
+ "eval_steps_per_second": 16.092,
296
+ "step": 4000
297
+ },
298
+ {
299
+ "epoch": 60.0,
300
+ "eval_accuracy_score": 0.943659736549754,
301
+ "eval_f1": 0.6714285714285714,
302
+ "eval_loss": 0.3531126081943512,
303
+ "eval_precision": 0.6409090909090909,
304
+ "eval_recall": 0.705,
305
+ "eval_runtime": 2.4736,
306
+ "eval_samples_per_second": 129.364,
307
+ "eval_steps_per_second": 16.171,
308
+ "step": 4200
309
+ },
310
+ {
311
+ "epoch": 62.86,
312
+ "eval_accuracy_score": 0.9458816060942707,
313
+ "eval_f1": 0.695582329317269,
314
+ "eval_loss": 0.36536940932273865,
315
+ "eval_precision": 0.6713178294573643,
316
+ "eval_recall": 0.7216666666666667,
317
+ "eval_runtime": 2.4795,
318
+ "eval_samples_per_second": 129.059,
319
+ "eval_steps_per_second": 16.132,
320
+ "step": 4400
321
+ },
322
+ {
323
+ "epoch": 64.29,
324
+ "learning_rate": 3.523489932885906e-05,
325
+ "loss": 0.0024,
326
+ "step": 4500
327
+ },
328
+ {
329
+ "epoch": 65.71,
330
+ "eval_accuracy_score": 0.9435010315822885,
331
+ "eval_f1": 0.6821457165732587,
332
+ "eval_loss": 0.3702266812324524,
333
+ "eval_precision": 0.6563944530046225,
334
+ "eval_recall": 0.71,
335
+ "eval_runtime": 2.4782,
336
+ "eval_samples_per_second": 129.126,
337
+ "eval_steps_per_second": 16.141,
338
+ "step": 4600
339
+ },
340
+ {
341
+ "epoch": 68.57,
342
+ "eval_accuracy_score": 0.9425488017774957,
343
+ "eval_f1": 0.6838709677419355,
344
+ "eval_loss": 0.3876664936542511,
345
+ "eval_precision": 0.6625,
346
+ "eval_recall": 0.7066666666666667,
347
+ "eval_runtime": 2.4834,
348
+ "eval_samples_per_second": 128.858,
349
+ "eval_steps_per_second": 16.107,
350
+ "step": 4800
351
+ },
352
+ {
353
+ "epoch": 71.43,
354
+ "learning_rate": 3.3557046979865775e-05,
355
+ "loss": 0.0019,
356
+ "step": 5000
357
+ },
358
+ {
359
+ "epoch": 71.43,
360
+ "eval_accuracy_score": 0.9441358514521504,
361
+ "eval_f1": 0.6751188589540411,
362
+ "eval_loss": 0.35965150594711304,
363
+ "eval_precision": 0.6435045317220544,
364
+ "eval_recall": 0.71,
365
+ "eval_runtime": 2.4894,
366
+ "eval_samples_per_second": 128.547,
367
+ "eval_steps_per_second": 16.068,
368
+ "step": 5000
369
+ },
370
+ {
371
+ "epoch": 74.29,
372
+ "eval_accuracy_score": 0.9422313918425647,
373
+ "eval_f1": 0.6736334405144694,
374
+ "eval_loss": 0.4093686044216156,
375
+ "eval_precision": 0.6506211180124224,
376
+ "eval_recall": 0.6983333333333334,
377
+ "eval_runtime": 2.495,
378
+ "eval_samples_per_second": 128.258,
379
+ "eval_steps_per_second": 16.032,
380
+ "step": 5200
381
+ },
382
+ {
383
+ "epoch": 77.14,
384
+ "eval_accuracy_score": 0.9423900968100302,
385
+ "eval_f1": 0.675098814229249,
386
+ "eval_loss": 0.3733450174331665,
387
+ "eval_precision": 0.6421052631578947,
388
+ "eval_recall": 0.7116666666666667,
389
+ "eval_runtime": 2.4781,
390
+ "eval_samples_per_second": 129.13,
391
+ "eval_steps_per_second": 16.141,
392
+ "step": 5400
393
+ },
394
+ {
395
+ "epoch": 77.14,
396
+ "step": 5400,
397
+ "total_flos": 2.831337967640832e+16,
398
+ "train_loss": 0.041913371869811304,
399
+ "train_runtime": 4784.712,
400
+ "train_samples_per_second": 100.32,
401
+ "train_steps_per_second": 3.135
402
+ }
403
+ ],
404
+ "max_steps": 15000,
405
+ "num_train_epochs": 215,
406
+ "total_flos": 2.831337967640832e+16,
407
+ "trial_name": null,
408
+ "trial_params": null
409
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:145306e3fff8633ca66e522ba2f6f995f0c7edcfa01ee47a790edf7ea10671a6
3
+ size 3259