amindada commited on
Commit
7b06699
1 Parent(s): bcecb54

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: deepset/gbert-base
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: gbert_base_pubmed_mimic_translated_german_512_4_epochs_multip
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # gbert_base_pubmed_mimic_translated_german_512_4_epochs_multip
15
+
16
+ This model is a fine-tuned version of [deepset/gbert-base](https://huggingface.co/deepset/gbert-base) on the None dataset.
17
+
18
+ ## Model description
19
+
20
+ More information needed
21
+
22
+ ## Intended uses & limitations
23
+
24
+ More information needed
25
+
26
+ ## Training and evaluation data
27
+
28
+ More information needed
29
+
30
+ ## Training procedure
31
+
32
+ ### Training hyperparameters
33
+
34
+ The following hyperparameters were used during training:
35
+ - learning_rate: 5e-05
36
+ - train_batch_size: 56
37
+ - eval_batch_size: 8
38
+ - seed: 42
39
+ - distributed_type: multi-GPU
40
+ - num_devices: 5
41
+ - total_train_batch_size: 280
42
+ - total_eval_batch_size: 40
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: linear
45
+ - num_epochs: 4.0
46
+
47
+ ### Training results
48
+
49
+
50
+
51
+ ### Framework versions
52
+
53
+ - Transformers 4.34.0
54
+ - Pytorch 1.12.1.post200
55
+ - Datasets 2.14.5
56
+ - Tokenizers 0.14.0
added_tokens.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "[CLS]": 102,
3
+ "[MASK]": 104,
4
+ "[PAD]": 0,
5
+ "[SEP]": 103,
6
+ "[UNK]": 101
7
+ }
config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "deepset/gbert-base",
3
+ "architectures": [
4
+ "BertForMaskedLM"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_position_embeddings": 512,
15
+ "model_type": "bert",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 12,
18
+ "pad_token_id": 0,
19
+ "position_embedding_type": "absolute",
20
+ "torch_dtype": "float32",
21
+ "transformers_version": "4.34.0",
22
+ "type_vocab_size": 2,
23
+ "use_cache": true,
24
+ "vocab_size": 31102
25
+ }
generation_config.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "pad_token_id": 0,
4
+ "transformers_version": "4.34.0"
5
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d1f2ce0c4c969f9b7391289b402cec6c6d238fd3a30238e698545c04036f780a
3
+ size 439908397
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 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "101": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "102": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "103": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "104": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "additional_special_tokens": [],
45
+ "clean_up_tokenization_spaces": true,
46
+ "cls_token": "[CLS]",
47
+ "do_basic_tokenize": true,
48
+ "do_lower_case": false,
49
+ "mask_token": "[MASK]",
50
+ "max_len": 512,
51
+ "model_max_length": 512,
52
+ "never_split": null,
53
+ "pad_token": "[PAD]",
54
+ "sep_token": "[SEP]",
55
+ "strip_accents": false,
56
+ "tokenize_chinese_chars": true,
57
+ "tokenizer_class": "BertTokenizer",
58
+ "unk_token": "[UNK]"
59
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "train_loss": 0.9333500321268725,
4
+ "train_runtime": 60105.9393,
5
+ "train_samples": 5270167,
6
+ "train_samples_per_second": 350.725,
7
+ "train_steps_per_second": 1.253
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,928 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.0,
5
+ "eval_steps": 500,
6
+ "global_step": 75292,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03,
13
+ "learning_rate": 4.9669951654890296e-05,
14
+ "loss": 1.5966,
15
+ "step": 500
16
+ },
17
+ {
18
+ "epoch": 0.05,
19
+ "learning_rate": 4.933791106624874e-05,
20
+ "loss": 1.3931,
21
+ "step": 1000
22
+ },
23
+ {
24
+ "epoch": 0.08,
25
+ "learning_rate": 4.900587047760719e-05,
26
+ "loss": 1.3138,
27
+ "step": 1500
28
+ },
29
+ {
30
+ "epoch": 0.11,
31
+ "learning_rate": 4.8673829888965626e-05,
32
+ "loss": 1.2591,
33
+ "step": 2000
34
+ },
35
+ {
36
+ "epoch": 0.13,
37
+ "learning_rate": 4.834178930032408e-05,
38
+ "loss": 1.2239,
39
+ "step": 2500
40
+ },
41
+ {
42
+ "epoch": 0.16,
43
+ "learning_rate": 4.800974871168252e-05,
44
+ "loss": 1.1972,
45
+ "step": 3000
46
+ },
47
+ {
48
+ "epoch": 0.19,
49
+ "learning_rate": 4.767770812304096e-05,
50
+ "loss": 1.1682,
51
+ "step": 3500
52
+ },
53
+ {
54
+ "epoch": 0.21,
55
+ "learning_rate": 4.734566753439941e-05,
56
+ "loss": 1.1505,
57
+ "step": 4000
58
+ },
59
+ {
60
+ "epoch": 0.24,
61
+ "learning_rate": 4.701362694575785e-05,
62
+ "loss": 1.1314,
63
+ "step": 4500
64
+ },
65
+ {
66
+ "epoch": 0.27,
67
+ "learning_rate": 4.66815863571163e-05,
68
+ "loss": 1.1163,
69
+ "step": 5000
70
+ },
71
+ {
72
+ "epoch": 0.29,
73
+ "learning_rate": 4.634954576847474e-05,
74
+ "loss": 1.1029,
75
+ "step": 5500
76
+ },
77
+ {
78
+ "epoch": 0.32,
79
+ "learning_rate": 4.6017505179833184e-05,
80
+ "loss": 1.0916,
81
+ "step": 6000
82
+ },
83
+ {
84
+ "epoch": 0.35,
85
+ "learning_rate": 4.568546459119163e-05,
86
+ "loss": 1.0832,
87
+ "step": 6500
88
+ },
89
+ {
90
+ "epoch": 0.37,
91
+ "learning_rate": 4.535342400255007e-05,
92
+ "loss": 1.0731,
93
+ "step": 7000
94
+ },
95
+ {
96
+ "epoch": 0.4,
97
+ "learning_rate": 4.502138341390852e-05,
98
+ "loss": 1.0622,
99
+ "step": 7500
100
+ },
101
+ {
102
+ "epoch": 0.43,
103
+ "learning_rate": 4.468934282526696e-05,
104
+ "loss": 1.0573,
105
+ "step": 8000
106
+ },
107
+ {
108
+ "epoch": 0.45,
109
+ "learning_rate": 4.435796631780269e-05,
110
+ "loss": 1.049,
111
+ "step": 8500
112
+ },
113
+ {
114
+ "epoch": 0.48,
115
+ "learning_rate": 4.402592572916113e-05,
116
+ "loss": 1.042,
117
+ "step": 9000
118
+ },
119
+ {
120
+ "epoch": 0.5,
121
+ "learning_rate": 4.369388514051958e-05,
122
+ "loss": 1.0354,
123
+ "step": 9500
124
+ },
125
+ {
126
+ "epoch": 0.53,
127
+ "learning_rate": 4.3361844551878024e-05,
128
+ "loss": 1.0275,
129
+ "step": 10000
130
+ },
131
+ {
132
+ "epoch": 0.56,
133
+ "learning_rate": 4.302980396323647e-05,
134
+ "loss": 1.0232,
135
+ "step": 10500
136
+ },
137
+ {
138
+ "epoch": 0.58,
139
+ "learning_rate": 4.2697763374594915e-05,
140
+ "loss": 1.019,
141
+ "step": 11000
142
+ },
143
+ {
144
+ "epoch": 0.61,
145
+ "learning_rate": 4.2365722785953354e-05,
146
+ "loss": 1.0141,
147
+ "step": 11500
148
+ },
149
+ {
150
+ "epoch": 0.64,
151
+ "learning_rate": 4.20336821973118e-05,
152
+ "loss": 1.0089,
153
+ "step": 12000
154
+ },
155
+ {
156
+ "epoch": 0.66,
157
+ "learning_rate": 4.1701641608670245e-05,
158
+ "loss": 1.0028,
159
+ "step": 12500
160
+ },
161
+ {
162
+ "epoch": 0.69,
163
+ "learning_rate": 4.136960102002869e-05,
164
+ "loss": 0.9984,
165
+ "step": 13000
166
+ },
167
+ {
168
+ "epoch": 0.72,
169
+ "learning_rate": 4.103822451256442e-05,
170
+ "loss": 0.9936,
171
+ "step": 13500
172
+ },
173
+ {
174
+ "epoch": 0.74,
175
+ "learning_rate": 4.0706183923922865e-05,
176
+ "loss": 0.9914,
177
+ "step": 14000
178
+ },
179
+ {
180
+ "epoch": 0.77,
181
+ "learning_rate": 4.0374143335281303e-05,
182
+ "loss": 0.9851,
183
+ "step": 14500
184
+ },
185
+ {
186
+ "epoch": 0.8,
187
+ "learning_rate": 4.0042102746639756e-05,
188
+ "loss": 0.9828,
189
+ "step": 15000
190
+ },
191
+ {
192
+ "epoch": 0.82,
193
+ "learning_rate": 3.9710062157998195e-05,
194
+ "loss": 0.9813,
195
+ "step": 15500
196
+ },
197
+ {
198
+ "epoch": 0.85,
199
+ "learning_rate": 3.937868565053392e-05,
200
+ "loss": 0.976,
201
+ "step": 16000
202
+ },
203
+ {
204
+ "epoch": 0.88,
205
+ "learning_rate": 3.904664506189237e-05,
206
+ "loss": 0.9739,
207
+ "step": 16500
208
+ },
209
+ {
210
+ "epoch": 0.9,
211
+ "learning_rate": 3.871460447325081e-05,
212
+ "loss": 0.9719,
213
+ "step": 17000
214
+ },
215
+ {
216
+ "epoch": 0.93,
217
+ "learning_rate": 3.838256388460926e-05,
218
+ "loss": 0.9664,
219
+ "step": 17500
220
+ },
221
+ {
222
+ "epoch": 0.96,
223
+ "learning_rate": 3.805118737714499e-05,
224
+ "loss": 0.9642,
225
+ "step": 18000
226
+ },
227
+ {
228
+ "epoch": 0.98,
229
+ "learning_rate": 3.7719146788503427e-05,
230
+ "loss": 0.9603,
231
+ "step": 18500
232
+ },
233
+ {
234
+ "epoch": 1.01,
235
+ "learning_rate": 3.738710619986187e-05,
236
+ "loss": 0.9575,
237
+ "step": 19000
238
+ },
239
+ {
240
+ "epoch": 1.04,
241
+ "learning_rate": 3.705506561122032e-05,
242
+ "loss": 0.9539,
243
+ "step": 19500
244
+ },
245
+ {
246
+ "epoch": 1.06,
247
+ "learning_rate": 3.672302502257876e-05,
248
+ "loss": 0.9525,
249
+ "step": 20000
250
+ },
251
+ {
252
+ "epoch": 1.09,
253
+ "learning_rate": 3.639164851511449e-05,
254
+ "loss": 0.9518,
255
+ "step": 20500
256
+ },
257
+ {
258
+ "epoch": 1.12,
259
+ "learning_rate": 3.605960792647293e-05,
260
+ "loss": 0.9469,
261
+ "step": 21000
262
+ },
263
+ {
264
+ "epoch": 1.14,
265
+ "learning_rate": 3.572756733783138e-05,
266
+ "loss": 0.9466,
267
+ "step": 21500
268
+ },
269
+ {
270
+ "epoch": 1.17,
271
+ "learning_rate": 3.5396190830367104e-05,
272
+ "loss": 0.9435,
273
+ "step": 22000
274
+ },
275
+ {
276
+ "epoch": 1.2,
277
+ "learning_rate": 3.506481432290283e-05,
278
+ "loss": 0.9424,
279
+ "step": 22500
280
+ },
281
+ {
282
+ "epoch": 1.22,
283
+ "learning_rate": 3.473277373426128e-05,
284
+ "loss": 0.9373,
285
+ "step": 23000
286
+ },
287
+ {
288
+ "epoch": 1.25,
289
+ "learning_rate": 3.4400733145619723e-05,
290
+ "loss": 0.9374,
291
+ "step": 23500
292
+ },
293
+ {
294
+ "epoch": 1.28,
295
+ "learning_rate": 3.406869255697817e-05,
296
+ "loss": 0.934,
297
+ "step": 24000
298
+ },
299
+ {
300
+ "epoch": 1.3,
301
+ "learning_rate": 3.3736651968336615e-05,
302
+ "loss": 0.9335,
303
+ "step": 24500
304
+ },
305
+ {
306
+ "epoch": 1.33,
307
+ "learning_rate": 3.3404611379695053e-05,
308
+ "loss": 0.9324,
309
+ "step": 25000
310
+ },
311
+ {
312
+ "epoch": 1.35,
313
+ "learning_rate": 3.30725707910535e-05,
314
+ "loss": 0.9284,
315
+ "step": 25500
316
+ },
317
+ {
318
+ "epoch": 1.38,
319
+ "learning_rate": 3.2740530202411945e-05,
320
+ "loss": 0.9269,
321
+ "step": 26000
322
+ },
323
+ {
324
+ "epoch": 1.41,
325
+ "learning_rate": 3.240848961377039e-05,
326
+ "loss": 0.9257,
327
+ "step": 26500
328
+ },
329
+ {
330
+ "epoch": 1.43,
331
+ "learning_rate": 3.2076449025128836e-05,
332
+ "loss": 0.9203,
333
+ "step": 27000
334
+ },
335
+ {
336
+ "epoch": 1.46,
337
+ "learning_rate": 3.1744408436487275e-05,
338
+ "loss": 0.9233,
339
+ "step": 27500
340
+ },
341
+ {
342
+ "epoch": 1.49,
343
+ "learning_rate": 3.141236784784572e-05,
344
+ "loss": 0.9208,
345
+ "step": 28000
346
+ },
347
+ {
348
+ "epoch": 1.51,
349
+ "learning_rate": 3.1080327259204166e-05,
350
+ "loss": 0.919,
351
+ "step": 28500
352
+ },
353
+ {
354
+ "epoch": 1.54,
355
+ "learning_rate": 3.074828667056261e-05,
356
+ "loss": 0.9174,
357
+ "step": 29000
358
+ },
359
+ {
360
+ "epoch": 1.57,
361
+ "learning_rate": 3.0416246081921057e-05,
362
+ "loss": 0.9167,
363
+ "step": 29500
364
+ },
365
+ {
366
+ "epoch": 1.59,
367
+ "learning_rate": 3.00842054932795e-05,
368
+ "loss": 0.9138,
369
+ "step": 30000
370
+ },
371
+ {
372
+ "epoch": 1.62,
373
+ "learning_rate": 2.9752164904637948e-05,
374
+ "loss": 0.9133,
375
+ "step": 30500
376
+ },
377
+ {
378
+ "epoch": 1.65,
379
+ "learning_rate": 2.942078839717367e-05,
380
+ "loss": 0.9124,
381
+ "step": 31000
382
+ },
383
+ {
384
+ "epoch": 1.67,
385
+ "learning_rate": 2.908874780853212e-05,
386
+ "loss": 0.9107,
387
+ "step": 31500
388
+ },
389
+ {
390
+ "epoch": 1.7,
391
+ "learning_rate": 2.875670721989056e-05,
392
+ "loss": 0.9079,
393
+ "step": 32000
394
+ },
395
+ {
396
+ "epoch": 1.73,
397
+ "learning_rate": 2.842533071242629e-05,
398
+ "loss": 0.9069,
399
+ "step": 32500
400
+ },
401
+ {
402
+ "epoch": 1.75,
403
+ "learning_rate": 2.809329012378473e-05,
404
+ "loss": 0.9064,
405
+ "step": 33000
406
+ },
407
+ {
408
+ "epoch": 1.78,
409
+ "learning_rate": 2.7761249535143173e-05,
410
+ "loss": 0.9052,
411
+ "step": 33500
412
+ },
413
+ {
414
+ "epoch": 1.81,
415
+ "learning_rate": 2.7429208946501622e-05,
416
+ "loss": 0.9028,
417
+ "step": 34000
418
+ },
419
+ {
420
+ "epoch": 1.83,
421
+ "learning_rate": 2.7097168357860064e-05,
422
+ "loss": 0.9024,
423
+ "step": 34500
424
+ },
425
+ {
426
+ "epoch": 1.86,
427
+ "learning_rate": 2.6765127769218513e-05,
428
+ "loss": 0.9009,
429
+ "step": 35000
430
+ },
431
+ {
432
+ "epoch": 1.89,
433
+ "learning_rate": 2.6433087180576956e-05,
434
+ "loss": 0.9006,
435
+ "step": 35500
436
+ },
437
+ {
438
+ "epoch": 1.91,
439
+ "learning_rate": 2.61010465919354e-05,
440
+ "loss": 0.8988,
441
+ "step": 36000
442
+ },
443
+ {
444
+ "epoch": 1.94,
445
+ "learning_rate": 2.5769006003293843e-05,
446
+ "loss": 0.898,
447
+ "step": 36500
448
+ },
449
+ {
450
+ "epoch": 1.97,
451
+ "learning_rate": 2.5437629495829575e-05,
452
+ "loss": 0.8953,
453
+ "step": 37000
454
+ },
455
+ {
456
+ "epoch": 1.99,
457
+ "learning_rate": 2.5105588907188017e-05,
458
+ "loss": 0.8956,
459
+ "step": 37500
460
+ },
461
+ {
462
+ "epoch": 2.02,
463
+ "learning_rate": 2.477354831854646e-05,
464
+ "loss": 0.8945,
465
+ "step": 38000
466
+ },
467
+ {
468
+ "epoch": 2.05,
469
+ "learning_rate": 2.4441507729904905e-05,
470
+ "loss": 0.8926,
471
+ "step": 38500
472
+ },
473
+ {
474
+ "epoch": 2.07,
475
+ "learning_rate": 2.410946714126335e-05,
476
+ "loss": 0.8892,
477
+ "step": 39000
478
+ },
479
+ {
480
+ "epoch": 2.1,
481
+ "learning_rate": 2.3777426552621793e-05,
482
+ "loss": 0.8905,
483
+ "step": 39500
484
+ },
485
+ {
486
+ "epoch": 2.13,
487
+ "learning_rate": 2.3445385963980238e-05,
488
+ "loss": 0.8877,
489
+ "step": 40000
490
+ },
491
+ {
492
+ "epoch": 2.15,
493
+ "learning_rate": 2.3113345375338684e-05,
494
+ "loss": 0.8876,
495
+ "step": 40500
496
+ },
497
+ {
498
+ "epoch": 2.18,
499
+ "learning_rate": 2.2782632949051695e-05,
500
+ "loss": 0.8872,
501
+ "step": 41000
502
+ },
503
+ {
504
+ "epoch": 2.2,
505
+ "learning_rate": 2.245059236041014e-05,
506
+ "loss": 0.8855,
507
+ "step": 41500
508
+ },
509
+ {
510
+ "epoch": 2.23,
511
+ "learning_rate": 2.2118551771768582e-05,
512
+ "loss": 0.8839,
513
+ "step": 42000
514
+ },
515
+ {
516
+ "epoch": 2.26,
517
+ "learning_rate": 2.1786511183127025e-05,
518
+ "loss": 0.8853,
519
+ "step": 42500
520
+ },
521
+ {
522
+ "epoch": 2.28,
523
+ "learning_rate": 2.145447059448547e-05,
524
+ "loss": 0.8834,
525
+ "step": 43000
526
+ },
527
+ {
528
+ "epoch": 2.31,
529
+ "learning_rate": 2.1122430005843916e-05,
530
+ "loss": 0.8823,
531
+ "step": 43500
532
+ },
533
+ {
534
+ "epoch": 2.34,
535
+ "learning_rate": 2.0791053498379644e-05,
536
+ "loss": 0.8832,
537
+ "step": 44000
538
+ },
539
+ {
540
+ "epoch": 2.36,
541
+ "learning_rate": 2.0459012909738086e-05,
542
+ "loss": 0.8812,
543
+ "step": 44500
544
+ },
545
+ {
546
+ "epoch": 2.39,
547
+ "learning_rate": 2.0126972321096532e-05,
548
+ "loss": 0.8805,
549
+ "step": 45000
550
+ },
551
+ {
552
+ "epoch": 2.42,
553
+ "learning_rate": 1.9794931732454977e-05,
554
+ "loss": 0.8795,
555
+ "step": 45500
556
+ },
557
+ {
558
+ "epoch": 2.44,
559
+ "learning_rate": 1.9463555224990705e-05,
560
+ "loss": 0.8784,
561
+ "step": 46000
562
+ },
563
+ {
564
+ "epoch": 2.47,
565
+ "learning_rate": 1.913217871752643e-05,
566
+ "loss": 0.8777,
567
+ "step": 46500
568
+ },
569
+ {
570
+ "epoch": 2.5,
571
+ "learning_rate": 1.8800138128884876e-05,
572
+ "loss": 0.876,
573
+ "step": 47000
574
+ },
575
+ {
576
+ "epoch": 2.52,
577
+ "learning_rate": 1.846809754024332e-05,
578
+ "loss": 0.877,
579
+ "step": 47500
580
+ },
581
+ {
582
+ "epoch": 2.55,
583
+ "learning_rate": 1.8136056951601764e-05,
584
+ "loss": 0.876,
585
+ "step": 48000
586
+ },
587
+ {
588
+ "epoch": 2.58,
589
+ "learning_rate": 1.780401636296021e-05,
590
+ "loss": 0.8765,
591
+ "step": 48500
592
+ },
593
+ {
594
+ "epoch": 2.6,
595
+ "learning_rate": 1.7472639855495937e-05,
596
+ "loss": 0.8752,
597
+ "step": 49000
598
+ },
599
+ {
600
+ "epoch": 2.63,
601
+ "learning_rate": 1.7140599266854383e-05,
602
+ "loss": 0.873,
603
+ "step": 49500
604
+ },
605
+ {
606
+ "epoch": 2.66,
607
+ "learning_rate": 1.6808558678212825e-05,
608
+ "loss": 0.8713,
609
+ "step": 50000
610
+ },
611
+ {
612
+ "epoch": 2.68,
613
+ "learning_rate": 1.6476518089571267e-05,
614
+ "loss": 0.8736,
615
+ "step": 50500
616
+ },
617
+ {
618
+ "epoch": 2.71,
619
+ "learning_rate": 1.6144477500929713e-05,
620
+ "loss": 0.8715,
621
+ "step": 51000
622
+ },
623
+ {
624
+ "epoch": 2.74,
625
+ "learning_rate": 1.581243691228816e-05,
626
+ "loss": 0.8708,
627
+ "step": 51500
628
+ },
629
+ {
630
+ "epoch": 2.76,
631
+ "learning_rate": 1.5481060404823887e-05,
632
+ "loss": 0.8694,
633
+ "step": 52000
634
+ },
635
+ {
636
+ "epoch": 2.79,
637
+ "learning_rate": 1.514901981618233e-05,
638
+ "loss": 0.8698,
639
+ "step": 52500
640
+ },
641
+ {
642
+ "epoch": 2.82,
643
+ "learning_rate": 1.4816979227540776e-05,
644
+ "loss": 0.8686,
645
+ "step": 53000
646
+ },
647
+ {
648
+ "epoch": 2.84,
649
+ "learning_rate": 1.448493863889922e-05,
650
+ "loss": 0.8696,
651
+ "step": 53500
652
+ },
653
+ {
654
+ "epoch": 2.87,
655
+ "learning_rate": 1.4152898050257666e-05,
656
+ "loss": 0.8685,
657
+ "step": 54000
658
+ },
659
+ {
660
+ "epoch": 2.9,
661
+ "learning_rate": 1.3820857461616108e-05,
662
+ "loss": 0.8664,
663
+ "step": 54500
664
+ },
665
+ {
666
+ "epoch": 2.92,
667
+ "learning_rate": 1.3489480954151836e-05,
668
+ "loss": 0.8666,
669
+ "step": 55000
670
+ },
671
+ {
672
+ "epoch": 2.95,
673
+ "learning_rate": 1.3157440365510282e-05,
674
+ "loss": 0.8664,
675
+ "step": 55500
676
+ },
677
+ {
678
+ "epoch": 2.98,
679
+ "learning_rate": 1.2825399776868724e-05,
680
+ "loss": 0.8687,
681
+ "step": 56000
682
+ },
683
+ {
684
+ "epoch": 3.0,
685
+ "learning_rate": 1.249335918822717e-05,
686
+ "loss": 0.8643,
687
+ "step": 56500
688
+ },
689
+ {
690
+ "epoch": 3.03,
691
+ "learning_rate": 1.2161318599585613e-05,
692
+ "loss": 0.8626,
693
+ "step": 57000
694
+ },
695
+ {
696
+ "epoch": 3.05,
697
+ "learning_rate": 1.1829278010944059e-05,
698
+ "loss": 0.8628,
699
+ "step": 57500
700
+ },
701
+ {
702
+ "epoch": 3.08,
703
+ "learning_rate": 1.1497237422302503e-05,
704
+ "loss": 0.8622,
705
+ "step": 58000
706
+ },
707
+ {
708
+ "epoch": 3.11,
709
+ "learning_rate": 1.1165196833660947e-05,
710
+ "loss": 0.8618,
711
+ "step": 58500
712
+ },
713
+ {
714
+ "epoch": 3.13,
715
+ "learning_rate": 1.0833156245019392e-05,
716
+ "loss": 0.862,
717
+ "step": 59000
718
+ },
719
+ {
720
+ "epoch": 3.16,
721
+ "learning_rate": 1.0501115656377836e-05,
722
+ "loss": 0.8605,
723
+ "step": 59500
724
+ },
725
+ {
726
+ "epoch": 3.19,
727
+ "learning_rate": 1.016907506773628e-05,
728
+ "loss": 0.8595,
729
+ "step": 60000
730
+ },
731
+ {
732
+ "epoch": 3.21,
733
+ "learning_rate": 9.837698560272008e-06,
734
+ "loss": 0.8604,
735
+ "step": 60500
736
+ },
737
+ {
738
+ "epoch": 3.24,
739
+ "learning_rate": 9.505657971630452e-06,
740
+ "loss": 0.8595,
741
+ "step": 61000
742
+ },
743
+ {
744
+ "epoch": 3.27,
745
+ "learning_rate": 9.173617382988898e-06,
746
+ "loss": 0.8602,
747
+ "step": 61500
748
+ },
749
+ {
750
+ "epoch": 3.29,
751
+ "learning_rate": 8.841576794347342e-06,
752
+ "loss": 0.8583,
753
+ "step": 62000
754
+ },
755
+ {
756
+ "epoch": 3.32,
757
+ "learning_rate": 8.510200286883068e-06,
758
+ "loss": 0.8575,
759
+ "step": 62500
760
+ },
761
+ {
762
+ "epoch": 3.35,
763
+ "learning_rate": 8.178159698241514e-06,
764
+ "loss": 0.8583,
765
+ "step": 63000
766
+ },
767
+ {
768
+ "epoch": 3.37,
769
+ "learning_rate": 7.846119109599958e-06,
770
+ "loss": 0.8568,
771
+ "step": 63500
772
+ },
773
+ {
774
+ "epoch": 3.4,
775
+ "learning_rate": 7.514078520958402e-06,
776
+ "loss": 0.8555,
777
+ "step": 64000
778
+ },
779
+ {
780
+ "epoch": 3.43,
781
+ "learning_rate": 7.182037932316847e-06,
782
+ "loss": 0.8562,
783
+ "step": 64500
784
+ },
785
+ {
786
+ "epoch": 3.45,
787
+ "learning_rate": 6.849997343675291e-06,
788
+ "loss": 0.8553,
789
+ "step": 65000
790
+ },
791
+ {
792
+ "epoch": 3.48,
793
+ "learning_rate": 6.517956755033736e-06,
794
+ "loss": 0.8537,
795
+ "step": 65500
796
+ },
797
+ {
798
+ "epoch": 3.51,
799
+ "learning_rate": 6.186580247569463e-06,
800
+ "loss": 0.8556,
801
+ "step": 66000
802
+ },
803
+ {
804
+ "epoch": 3.53,
805
+ "learning_rate": 5.854539658927908e-06,
806
+ "loss": 0.8556,
807
+ "step": 66500
808
+ },
809
+ {
810
+ "epoch": 3.56,
811
+ "learning_rate": 5.5224990702863525e-06,
812
+ "loss": 0.8559,
813
+ "step": 67000
814
+ },
815
+ {
816
+ "epoch": 3.59,
817
+ "learning_rate": 5.190458481644796e-06,
818
+ "loss": 0.8538,
819
+ "step": 67500
820
+ },
821
+ {
822
+ "epoch": 3.61,
823
+ "learning_rate": 4.85841789300324e-06,
824
+ "loss": 0.8538,
825
+ "step": 68000
826
+ },
827
+ {
828
+ "epoch": 3.64,
829
+ "learning_rate": 4.526377304361686e-06,
830
+ "loss": 0.8523,
831
+ "step": 68500
832
+ },
833
+ {
834
+ "epoch": 3.67,
835
+ "learning_rate": 4.19433671572013e-06,
836
+ "loss": 0.8529,
837
+ "step": 69000
838
+ },
839
+ {
840
+ "epoch": 3.69,
841
+ "learning_rate": 3.862296127078574e-06,
842
+ "loss": 0.8538,
843
+ "step": 69500
844
+ },
845
+ {
846
+ "epoch": 3.72,
847
+ "learning_rate": 3.5302555384370188e-06,
848
+ "loss": 0.8541,
849
+ "step": 70000
850
+ },
851
+ {
852
+ "epoch": 3.75,
853
+ "learning_rate": 3.198214949795463e-06,
854
+ "loss": 0.8521,
855
+ "step": 70500
856
+ },
857
+ {
858
+ "epoch": 3.77,
859
+ "learning_rate": 2.8668384423311904e-06,
860
+ "loss": 0.8529,
861
+ "step": 71000
862
+ },
863
+ {
864
+ "epoch": 3.8,
865
+ "learning_rate": 2.534797853689635e-06,
866
+ "loss": 0.8522,
867
+ "step": 71500
868
+ },
869
+ {
870
+ "epoch": 3.83,
871
+ "learning_rate": 2.20275726504808e-06,
872
+ "loss": 0.855,
873
+ "step": 72000
874
+ },
875
+ {
876
+ "epoch": 3.85,
877
+ "learning_rate": 1.870716676406524e-06,
878
+ "loss": 0.8542,
879
+ "step": 72500
880
+ },
881
+ {
882
+ "epoch": 3.88,
883
+ "learning_rate": 1.5386760877649683e-06,
884
+ "loss": 0.8516,
885
+ "step": 73000
886
+ },
887
+ {
888
+ "epoch": 3.9,
889
+ "learning_rate": 1.206635499123413e-06,
890
+ "loss": 0.8521,
891
+ "step": 73500
892
+ },
893
+ {
894
+ "epoch": 3.93,
895
+ "learning_rate": 8.745949104818574e-07,
896
+ "loss": 0.8514,
897
+ "step": 74000
898
+ },
899
+ {
900
+ "epoch": 3.96,
901
+ "learning_rate": 5.425543218403018e-07,
902
+ "loss": 0.852,
903
+ "step": 74500
904
+ },
905
+ {
906
+ "epoch": 3.98,
907
+ "learning_rate": 2.1184189555331246e-07,
908
+ "loss": 0.8498,
909
+ "step": 75000
910
+ },
911
+ {
912
+ "epoch": 4.0,
913
+ "step": 75292,
914
+ "total_flos": 5.54885793210119e+18,
915
+ "train_loss": 0.9333500321268725,
916
+ "train_runtime": 60105.9393,
917
+ "train_samples_per_second": 350.725,
918
+ "train_steps_per_second": 1.253
919
+ }
920
+ ],
921
+ "logging_steps": 500,
922
+ "max_steps": 75292,
923
+ "num_train_epochs": 4,
924
+ "save_steps": 500,
925
+ "total_flos": 5.54885793210119e+18,
926
+ "trial_name": null,
927
+ "trial_params": null
928
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:69e455097472ec48d6d42358a29ff65c69f5d5baf4d3073ffbb4960239554d05
3
+ size 4143
vocab.txt ADDED
The diff for this file is too large to render. See raw diff