josecannete commited on
Commit
b717b78
1 Parent(s): 75e43b6

adding albert tiny spanish finetuned on XNLI

Browse files
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.738152610441767,
4
+ "eval_loss": 0.637806236743927,
5
+ "eval_runtime": 0.6106,
6
+ "eval_samples": 2490,
7
+ "eval_samples_per_second": 4078.208,
8
+ "eval_steps_per_second": 255.502,
9
+ "train_loss": 0.6086252490005924,
10
+ "train_runtime": 925.6681,
11
+ "train_samples": 392702,
12
+ "train_samples_per_second": 1272.709,
13
+ "train_steps_per_second": 79.545
14
+ }
config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "CenIA/albert_tiny_spanish",
3
+ "architectures": [
4
+ "AlbertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0,
7
+ "bos_token_id": 2,
8
+ "classifier_dropout_prob": 0.1,
9
+ "down_scale_factor": 1,
10
+ "embedding_size": 128,
11
+ "eos_token_id": 3,
12
+ "finetuning_task": "xnli",
13
+ "gap_size": 0,
14
+ "hidden_act": "gelu",
15
+ "hidden_dropout_prob": 0,
16
+ "hidden_size": 312,
17
+ "id2label": {
18
+ "0": "LABEL_0",
19
+ "1": "LABEL_1",
20
+ "2": "LABEL_2"
21
+ },
22
+ "initializer_range": 0.02,
23
+ "inner_group_num": 1,
24
+ "intermediate_size": 1248,
25
+ "label2id": {
26
+ "LABEL_0": 0,
27
+ "LABEL_1": 1,
28
+ "LABEL_2": 2
29
+ },
30
+ "layer_norm_eps": 1e-12,
31
+ "max_position_embeddings": 512,
32
+ "model_type": "albert",
33
+ "net_structure_type": 0,
34
+ "num_attention_heads": 12,
35
+ "num_hidden_groups": 1,
36
+ "num_hidden_layers": 4,
37
+ "num_memory_blocks": 0,
38
+ "pad_token_id": 0,
39
+ "position_embedding_type": "absolute",
40
+ "problem_type": "single_label_classification",
41
+ "torch_dtype": "float32",
42
+ "transformers_version": "4.12.5",
43
+ "type_vocab_size": 2,
44
+ "vocab_size": 31000
45
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.738152610441767,
4
+ "eval_loss": 0.637806236743927,
5
+ "eval_runtime": 0.6106,
6
+ "eval_samples": 2490,
7
+ "eval_samples_per_second": 4078.208,
8
+ "eval_steps_per_second": 255.502
9
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:84d16fe0b6c33802e3b214468f8be5a33f5723e34840623eb76a37d8b1781991
3
+ size 21395153
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"do_lower_case": true, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "CenIA/albert_tiny_spanish", "tokenizer_class": "AlbertTokenizer"}
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 0.6086252490005924,
4
+ "train_runtime": 925.6681,
5
+ "train_samples": 392702,
6
+ "train_samples_per_second": 1272.709,
7
+ "train_steps_per_second": 79.545
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1231 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.637806236743927,
3
+ "best_model_checkpoint": "/data/jcanete/all_results/xnli/albeto_tiny2/epochs_3_bs_16_lr_3e-5/checkpoint-44000",
4
+ "epoch": 3.0,
5
+ "global_step": 73632,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.02,
12
+ "learning_rate": 2.9797506518904825e-05,
13
+ "loss": 0.9759,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.04,
18
+ "learning_rate": 2.959379074315515e-05,
19
+ "loss": 0.8759,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.06,
24
+ "learning_rate": 2.9390074967405478e-05,
25
+ "loss": 0.8565,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.08,
30
+ "learning_rate": 2.9186359191655804e-05,
31
+ "loss": 0.8281,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.08,
36
+ "eval_accuracy": 0.6373493975903615,
37
+ "eval_loss": 0.8259181976318359,
38
+ "eval_runtime": 0.5925,
39
+ "eval_samples_per_second": 4202.704,
40
+ "eval_steps_per_second": 263.302,
41
+ "step": 2000
42
+ },
43
+ {
44
+ "epoch": 0.1,
45
+ "learning_rate": 2.8983050847457626e-05,
46
+ "loss": 0.8181,
47
+ "step": 2500
48
+ },
49
+ {
50
+ "epoch": 0.12,
51
+ "learning_rate": 2.8779335071707956e-05,
52
+ "loss": 0.8103,
53
+ "step": 3000
54
+ },
55
+ {
56
+ "epoch": 0.14,
57
+ "learning_rate": 2.857561929595828e-05,
58
+ "loss": 0.7937,
59
+ "step": 3500
60
+ },
61
+ {
62
+ "epoch": 0.16,
63
+ "learning_rate": 2.8371903520208605e-05,
64
+ "loss": 0.772,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 0.16,
69
+ "eval_accuracy": 0.6738955823293172,
70
+ "eval_loss": 0.7611338496208191,
71
+ "eval_runtime": 0.5925,
72
+ "eval_samples_per_second": 4202.255,
73
+ "eval_steps_per_second": 263.274,
74
+ "step": 4000
75
+ },
76
+ {
77
+ "epoch": 0.18,
78
+ "learning_rate": 2.816818774445893e-05,
79
+ "loss": 0.7804,
80
+ "step": 4500
81
+ },
82
+ {
83
+ "epoch": 0.2,
84
+ "learning_rate": 2.7964471968709258e-05,
85
+ "loss": 0.7733,
86
+ "step": 5000
87
+ },
88
+ {
89
+ "epoch": 0.22,
90
+ "learning_rate": 2.7760756192959584e-05,
91
+ "loss": 0.7669,
92
+ "step": 5500
93
+ },
94
+ {
95
+ "epoch": 0.24,
96
+ "learning_rate": 2.755744784876141e-05,
97
+ "loss": 0.7516,
98
+ "step": 6000
99
+ },
100
+ {
101
+ "epoch": 0.24,
102
+ "eval_accuracy": 0.6759036144578313,
103
+ "eval_loss": 0.7518651485443115,
104
+ "eval_runtime": 0.5928,
105
+ "eval_samples_per_second": 4200.064,
106
+ "eval_steps_per_second": 263.137,
107
+ "step": 6000
108
+ },
109
+ {
110
+ "epoch": 0.26,
111
+ "learning_rate": 2.7353732073011732e-05,
112
+ "loss": 0.7505,
113
+ "step": 6500
114
+ },
115
+ {
116
+ "epoch": 0.29,
117
+ "learning_rate": 2.7150016297262062e-05,
118
+ "loss": 0.7512,
119
+ "step": 7000
120
+ },
121
+ {
122
+ "epoch": 0.31,
123
+ "learning_rate": 2.6946300521512385e-05,
124
+ "loss": 0.7414,
125
+ "step": 7500
126
+ },
127
+ {
128
+ "epoch": 0.33,
129
+ "learning_rate": 2.6742584745762715e-05,
130
+ "loss": 0.7311,
131
+ "step": 8000
132
+ },
133
+ {
134
+ "epoch": 0.33,
135
+ "eval_accuracy": 0.672289156626506,
136
+ "eval_loss": 0.7527135610580444,
137
+ "eval_runtime": 0.5934,
138
+ "eval_samples_per_second": 4195.935,
139
+ "eval_steps_per_second": 262.878,
140
+ "step": 8000
141
+ },
142
+ {
143
+ "epoch": 0.35,
144
+ "learning_rate": 2.6538868970013038e-05,
145
+ "loss": 0.723,
146
+ "step": 8500
147
+ },
148
+ {
149
+ "epoch": 0.37,
150
+ "learning_rate": 2.6335560625814863e-05,
151
+ "loss": 0.7138,
152
+ "step": 9000
153
+ },
154
+ {
155
+ "epoch": 0.39,
156
+ "learning_rate": 2.613184485006519e-05,
157
+ "loss": 0.7198,
158
+ "step": 9500
159
+ },
160
+ {
161
+ "epoch": 0.41,
162
+ "learning_rate": 2.5928129074315516e-05,
163
+ "loss": 0.7066,
164
+ "step": 10000
165
+ },
166
+ {
167
+ "epoch": 0.41,
168
+ "eval_accuracy": 0.6975903614457831,
169
+ "eval_loss": 0.7133071422576904,
170
+ "eval_runtime": 0.5925,
171
+ "eval_samples_per_second": 4202.512,
172
+ "eval_steps_per_second": 263.29,
173
+ "step": 10000
174
+ },
175
+ {
176
+ "epoch": 0.43,
177
+ "learning_rate": 2.5724413298565842e-05,
178
+ "loss": 0.7101,
179
+ "step": 10500
180
+ },
181
+ {
182
+ "epoch": 0.45,
183
+ "learning_rate": 2.552069752281617e-05,
184
+ "loss": 0.7095,
185
+ "step": 11000
186
+ },
187
+ {
188
+ "epoch": 0.47,
189
+ "learning_rate": 2.5317389178617994e-05,
190
+ "loss": 0.7133,
191
+ "step": 11500
192
+ },
193
+ {
194
+ "epoch": 0.49,
195
+ "learning_rate": 2.511367340286832e-05,
196
+ "loss": 0.7008,
197
+ "step": 12000
198
+ },
199
+ {
200
+ "epoch": 0.49,
201
+ "eval_accuracy": 0.7092369477911646,
202
+ "eval_loss": 0.7024465203285217,
203
+ "eval_runtime": 0.5924,
204
+ "eval_samples_per_second": 4203.393,
205
+ "eval_steps_per_second": 263.345,
206
+ "step": 12000
207
+ },
208
+ {
209
+ "epoch": 0.51,
210
+ "learning_rate": 2.4909957627118643e-05,
211
+ "loss": 0.7074,
212
+ "step": 12500
213
+ },
214
+ {
215
+ "epoch": 0.53,
216
+ "learning_rate": 2.470624185136897e-05,
217
+ "loss": 0.7082,
218
+ "step": 13000
219
+ },
220
+ {
221
+ "epoch": 0.55,
222
+ "learning_rate": 2.4502526075619296e-05,
223
+ "loss": 0.7128,
224
+ "step": 13500
225
+ },
226
+ {
227
+ "epoch": 0.57,
228
+ "learning_rate": 2.429921773142112e-05,
229
+ "loss": 0.704,
230
+ "step": 14000
231
+ },
232
+ {
233
+ "epoch": 0.57,
234
+ "eval_accuracy": 0.7040160642570281,
235
+ "eval_loss": 0.7015809416770935,
236
+ "eval_runtime": 0.5907,
237
+ "eval_samples_per_second": 4215.675,
238
+ "eval_steps_per_second": 264.115,
239
+ "step": 14000
240
+ },
241
+ {
242
+ "epoch": 0.59,
243
+ "learning_rate": 2.4095501955671448e-05,
244
+ "loss": 0.6859,
245
+ "step": 14500
246
+ },
247
+ {
248
+ "epoch": 0.61,
249
+ "learning_rate": 2.3891786179921774e-05,
250
+ "loss": 0.7053,
251
+ "step": 15000
252
+ },
253
+ {
254
+ "epoch": 0.63,
255
+ "learning_rate": 2.36880704041721e-05,
256
+ "loss": 0.6885,
257
+ "step": 15500
258
+ },
259
+ {
260
+ "epoch": 0.65,
261
+ "learning_rate": 2.3484762059973926e-05,
262
+ "loss": 0.6942,
263
+ "step": 16000
264
+ },
265
+ {
266
+ "epoch": 0.65,
267
+ "eval_accuracy": 0.7088353413654619,
268
+ "eval_loss": 0.6795119047164917,
269
+ "eval_runtime": 0.5915,
270
+ "eval_samples_per_second": 4209.383,
271
+ "eval_steps_per_second": 263.72,
272
+ "step": 16000
273
+ },
274
+ {
275
+ "epoch": 0.67,
276
+ "learning_rate": 2.3281046284224252e-05,
277
+ "loss": 0.6902,
278
+ "step": 16500
279
+ },
280
+ {
281
+ "epoch": 0.69,
282
+ "learning_rate": 2.3077330508474575e-05,
283
+ "loss": 0.6819,
284
+ "step": 17000
285
+ },
286
+ {
287
+ "epoch": 0.71,
288
+ "learning_rate": 2.2873614732724905e-05,
289
+ "loss": 0.6905,
290
+ "step": 17500
291
+ },
292
+ {
293
+ "epoch": 0.73,
294
+ "learning_rate": 2.2669898956975228e-05,
295
+ "loss": 0.6714,
296
+ "step": 18000
297
+ },
298
+ {
299
+ "epoch": 0.73,
300
+ "eval_accuracy": 0.6991967871485943,
301
+ "eval_loss": 0.7053298354148865,
302
+ "eval_runtime": 0.5927,
303
+ "eval_samples_per_second": 4201.418,
304
+ "eval_steps_per_second": 263.221,
305
+ "step": 18000
306
+ },
307
+ {
308
+ "epoch": 0.75,
309
+ "learning_rate": 2.2466183181225557e-05,
310
+ "loss": 0.6783,
311
+ "step": 18500
312
+ },
313
+ {
314
+ "epoch": 0.77,
315
+ "learning_rate": 2.226246740547588e-05,
316
+ "loss": 0.6871,
317
+ "step": 19000
318
+ },
319
+ {
320
+ "epoch": 0.79,
321
+ "learning_rate": 2.2059159061277706e-05,
322
+ "loss": 0.6805,
323
+ "step": 19500
324
+ },
325
+ {
326
+ "epoch": 0.81,
327
+ "learning_rate": 2.1855443285528032e-05,
328
+ "loss": 0.6607,
329
+ "step": 20000
330
+ },
331
+ {
332
+ "epoch": 0.81,
333
+ "eval_accuracy": 0.7152610441767068,
334
+ "eval_loss": 0.6862269639968872,
335
+ "eval_runtime": 0.5938,
336
+ "eval_samples_per_second": 4193.683,
337
+ "eval_steps_per_second": 262.737,
338
+ "step": 20000
339
+ },
340
+ {
341
+ "epoch": 0.84,
342
+ "learning_rate": 2.165172750977836e-05,
343
+ "loss": 0.6743,
344
+ "step": 20500
345
+ },
346
+ {
347
+ "epoch": 0.86,
348
+ "learning_rate": 2.1448011734028685e-05,
349
+ "loss": 0.6743,
350
+ "step": 21000
351
+ },
352
+ {
353
+ "epoch": 0.88,
354
+ "learning_rate": 2.124470338983051e-05,
355
+ "loss": 0.6648,
356
+ "step": 21500
357
+ },
358
+ {
359
+ "epoch": 0.9,
360
+ "learning_rate": 2.1040987614080833e-05,
361
+ "loss": 0.6815,
362
+ "step": 22000
363
+ },
364
+ {
365
+ "epoch": 0.9,
366
+ "eval_accuracy": 0.7253012048192771,
367
+ "eval_loss": 0.6604429483413696,
368
+ "eval_runtime": 0.5927,
369
+ "eval_samples_per_second": 4200.88,
370
+ "eval_steps_per_second": 263.188,
371
+ "step": 22000
372
+ },
373
+ {
374
+ "epoch": 0.92,
375
+ "learning_rate": 2.0837271838331163e-05,
376
+ "loss": 0.6666,
377
+ "step": 22500
378
+ },
379
+ {
380
+ "epoch": 0.94,
381
+ "learning_rate": 2.0633556062581486e-05,
382
+ "loss": 0.6658,
383
+ "step": 23000
384
+ },
385
+ {
386
+ "epoch": 0.96,
387
+ "learning_rate": 2.0429840286831812e-05,
388
+ "loss": 0.666,
389
+ "step": 23500
390
+ },
391
+ {
392
+ "epoch": 0.98,
393
+ "learning_rate": 2.022612451108214e-05,
394
+ "loss": 0.6773,
395
+ "step": 24000
396
+ },
397
+ {
398
+ "epoch": 0.98,
399
+ "eval_accuracy": 0.7253012048192771,
400
+ "eval_loss": 0.6634726524353027,
401
+ "eval_runtime": 0.5908,
402
+ "eval_samples_per_second": 4214.626,
403
+ "eval_steps_per_second": 264.049,
404
+ "step": 24000
405
+ },
406
+ {
407
+ "epoch": 1.0,
408
+ "learning_rate": 2.0022816166883964e-05,
409
+ "loss": 0.6609,
410
+ "step": 24500
411
+ },
412
+ {
413
+ "epoch": 1.02,
414
+ "learning_rate": 1.9819100391134287e-05,
415
+ "loss": 0.6014,
416
+ "step": 25000
417
+ },
418
+ {
419
+ "epoch": 1.04,
420
+ "learning_rate": 1.9615384615384617e-05,
421
+ "loss": 0.6089,
422
+ "step": 25500
423
+ },
424
+ {
425
+ "epoch": 1.06,
426
+ "learning_rate": 1.941166883963494e-05,
427
+ "loss": 0.6011,
428
+ "step": 26000
429
+ },
430
+ {
431
+ "epoch": 1.06,
432
+ "eval_accuracy": 0.7281124497991968,
433
+ "eval_loss": 0.6600359678268433,
434
+ "eval_runtime": 0.5949,
435
+ "eval_samples_per_second": 4185.679,
436
+ "eval_steps_per_second": 262.235,
437
+ "step": 26000
438
+ },
439
+ {
440
+ "epoch": 1.08,
441
+ "learning_rate": 1.920795306388527e-05,
442
+ "loss": 0.6012,
443
+ "step": 26500
444
+ },
445
+ {
446
+ "epoch": 1.1,
447
+ "learning_rate": 1.9004644719687095e-05,
448
+ "loss": 0.5788,
449
+ "step": 27000
450
+ },
451
+ {
452
+ "epoch": 1.12,
453
+ "learning_rate": 1.8800928943937418e-05,
454
+ "loss": 0.6058,
455
+ "step": 27500
456
+ },
457
+ {
458
+ "epoch": 1.14,
459
+ "learning_rate": 1.8597213168187744e-05,
460
+ "loss": 0.6154,
461
+ "step": 28000
462
+ },
463
+ {
464
+ "epoch": 1.14,
465
+ "eval_accuracy": 0.7309236947791165,
466
+ "eval_loss": 0.6442546844482422,
467
+ "eval_runtime": 0.5944,
468
+ "eval_samples_per_second": 4189.183,
469
+ "eval_steps_per_second": 262.455,
470
+ "step": 28000
471
+ },
472
+ {
473
+ "epoch": 1.16,
474
+ "learning_rate": 1.839349739243807e-05,
475
+ "loss": 0.6147,
476
+ "step": 28500
477
+ },
478
+ {
479
+ "epoch": 1.18,
480
+ "learning_rate": 1.8189781616688397e-05,
481
+ "loss": 0.5903,
482
+ "step": 29000
483
+ },
484
+ {
485
+ "epoch": 1.2,
486
+ "learning_rate": 1.7986473272490222e-05,
487
+ "loss": 0.6156,
488
+ "step": 29500
489
+ },
490
+ {
491
+ "epoch": 1.22,
492
+ "learning_rate": 1.778275749674055e-05,
493
+ "loss": 0.6024,
494
+ "step": 30000
495
+ },
496
+ {
497
+ "epoch": 1.22,
498
+ "eval_accuracy": 0.7188755020080321,
499
+ "eval_loss": 0.6576093435287476,
500
+ "eval_runtime": 0.5967,
501
+ "eval_samples_per_second": 4172.848,
502
+ "eval_steps_per_second": 261.431,
503
+ "step": 30000
504
+ },
505
+ {
506
+ "epoch": 1.24,
507
+ "learning_rate": 1.7579041720990875e-05,
508
+ "loss": 0.5907,
509
+ "step": 30500
510
+ },
511
+ {
512
+ "epoch": 1.26,
513
+ "learning_rate": 1.73753259452412e-05,
514
+ "loss": 0.6012,
515
+ "step": 31000
516
+ },
517
+ {
518
+ "epoch": 1.28,
519
+ "learning_rate": 1.7172017601043023e-05,
520
+ "loss": 0.5961,
521
+ "step": 31500
522
+ },
523
+ {
524
+ "epoch": 1.3,
525
+ "learning_rate": 1.6968301825293353e-05,
526
+ "loss": 0.5971,
527
+ "step": 32000
528
+ },
529
+ {
530
+ "epoch": 1.3,
531
+ "eval_accuracy": 0.7325301204819277,
532
+ "eval_loss": 0.6447591185569763,
533
+ "eval_runtime": 0.5962,
534
+ "eval_samples_per_second": 4176.317,
535
+ "eval_steps_per_second": 261.649,
536
+ "step": 32000
537
+ },
538
+ {
539
+ "epoch": 1.32,
540
+ "learning_rate": 1.6764586049543676e-05,
541
+ "loss": 0.5961,
542
+ "step": 32500
543
+ },
544
+ {
545
+ "epoch": 1.34,
546
+ "learning_rate": 1.6560870273794005e-05,
547
+ "loss": 0.5898,
548
+ "step": 33000
549
+ },
550
+ {
551
+ "epoch": 1.36,
552
+ "learning_rate": 1.6357561929595828e-05,
553
+ "loss": 0.5923,
554
+ "step": 33500
555
+ },
556
+ {
557
+ "epoch": 1.39,
558
+ "learning_rate": 1.6153846153846154e-05,
559
+ "loss": 0.6002,
560
+ "step": 34000
561
+ },
562
+ {
563
+ "epoch": 1.39,
564
+ "eval_accuracy": 0.7333333333333333,
565
+ "eval_loss": 0.6481831669807434,
566
+ "eval_runtime": 0.5959,
567
+ "eval_samples_per_second": 4178.807,
568
+ "eval_steps_per_second": 261.805,
569
+ "step": 34000
570
+ },
571
+ {
572
+ "epoch": 1.41,
573
+ "learning_rate": 1.595013037809648e-05,
574
+ "loss": 0.5887,
575
+ "step": 34500
576
+ },
577
+ {
578
+ "epoch": 1.43,
579
+ "learning_rate": 1.5746414602346807e-05,
580
+ "loss": 0.595,
581
+ "step": 35000
582
+ },
583
+ {
584
+ "epoch": 1.45,
585
+ "learning_rate": 1.5543106258148632e-05,
586
+ "loss": 0.5868,
587
+ "step": 35500
588
+ },
589
+ {
590
+ "epoch": 1.47,
591
+ "learning_rate": 1.533939048239896e-05,
592
+ "loss": 0.5813,
593
+ "step": 36000
594
+ },
595
+ {
596
+ "epoch": 1.47,
597
+ "eval_accuracy": 0.7265060240963855,
598
+ "eval_loss": 0.654254138469696,
599
+ "eval_runtime": 0.5952,
600
+ "eval_samples_per_second": 4183.66,
601
+ "eval_steps_per_second": 262.109,
602
+ "step": 36000
603
+ },
604
+ {
605
+ "epoch": 1.49,
606
+ "learning_rate": 1.5135674706649283e-05,
607
+ "loss": 0.5891,
608
+ "step": 36500
609
+ },
610
+ {
611
+ "epoch": 1.51,
612
+ "learning_rate": 1.493195893089961e-05,
613
+ "loss": 0.5905,
614
+ "step": 37000
615
+ },
616
+ {
617
+ "epoch": 1.53,
618
+ "learning_rate": 1.4728650586701433e-05,
619
+ "loss": 0.5853,
620
+ "step": 37500
621
+ },
622
+ {
623
+ "epoch": 1.55,
624
+ "learning_rate": 1.452493481095176e-05,
625
+ "loss": 0.5962,
626
+ "step": 38000
627
+ },
628
+ {
629
+ "epoch": 1.55,
630
+ "eval_accuracy": 0.738152610441767,
631
+ "eval_loss": 0.6403775215148926,
632
+ "eval_runtime": 0.5945,
633
+ "eval_samples_per_second": 4188.254,
634
+ "eval_steps_per_second": 262.397,
635
+ "step": 38000
636
+ },
637
+ {
638
+ "epoch": 1.57,
639
+ "learning_rate": 1.4321219035202086e-05,
640
+ "loss": 0.609,
641
+ "step": 38500
642
+ },
643
+ {
644
+ "epoch": 1.59,
645
+ "learning_rate": 1.4117503259452412e-05,
646
+ "loss": 0.5753,
647
+ "step": 39000
648
+ },
649
+ {
650
+ "epoch": 1.61,
651
+ "learning_rate": 1.3914194915254236e-05,
652
+ "loss": 0.5903,
653
+ "step": 39500
654
+ },
655
+ {
656
+ "epoch": 1.63,
657
+ "learning_rate": 1.3710479139504562e-05,
658
+ "loss": 0.5948,
659
+ "step": 40000
660
+ },
661
+ {
662
+ "epoch": 1.63,
663
+ "eval_accuracy": 0.7224899598393574,
664
+ "eval_loss": 0.6676555871963501,
665
+ "eval_runtime": 0.597,
666
+ "eval_samples_per_second": 4170.973,
667
+ "eval_steps_per_second": 261.314,
668
+ "step": 40000
669
+ },
670
+ {
671
+ "epoch": 1.65,
672
+ "learning_rate": 1.3506763363754889e-05,
673
+ "loss": 0.5847,
674
+ "step": 40500
675
+ },
676
+ {
677
+ "epoch": 1.67,
678
+ "learning_rate": 1.3303047588005215e-05,
679
+ "loss": 0.5869,
680
+ "step": 41000
681
+ },
682
+ {
683
+ "epoch": 1.69,
684
+ "learning_rate": 1.309973924380704e-05,
685
+ "loss": 0.5945,
686
+ "step": 41500
687
+ },
688
+ {
689
+ "epoch": 1.71,
690
+ "learning_rate": 1.2896023468057367e-05,
691
+ "loss": 0.5975,
692
+ "step": 42000
693
+ },
694
+ {
695
+ "epoch": 1.71,
696
+ "eval_accuracy": 0.7253012048192771,
697
+ "eval_loss": 0.6549131870269775,
698
+ "eval_runtime": 0.5935,
699
+ "eval_samples_per_second": 4195.227,
700
+ "eval_steps_per_second": 262.834,
701
+ "step": 42000
702
+ },
703
+ {
704
+ "epoch": 1.73,
705
+ "learning_rate": 1.2692307692307693e-05,
706
+ "loss": 0.5846,
707
+ "step": 42500
708
+ },
709
+ {
710
+ "epoch": 1.75,
711
+ "learning_rate": 1.248859191655802e-05,
712
+ "loss": 0.5907,
713
+ "step": 43000
714
+ },
715
+ {
716
+ "epoch": 1.77,
717
+ "learning_rate": 1.2284876140808344e-05,
718
+ "loss": 0.5929,
719
+ "step": 43500
720
+ },
721
+ {
722
+ "epoch": 1.79,
723
+ "learning_rate": 1.208116036505867e-05,
724
+ "loss": 0.5911,
725
+ "step": 44000
726
+ },
727
+ {
728
+ "epoch": 1.79,
729
+ "eval_accuracy": 0.738152610441767,
730
+ "eval_loss": 0.637806236743927,
731
+ "eval_runtime": 0.5938,
732
+ "eval_samples_per_second": 4193.465,
733
+ "eval_steps_per_second": 262.723,
734
+ "step": 44000
735
+ },
736
+ {
737
+ "epoch": 1.81,
738
+ "learning_rate": 1.1877444589308995e-05,
739
+ "loss": 0.5842,
740
+ "step": 44500
741
+ },
742
+ {
743
+ "epoch": 1.83,
744
+ "learning_rate": 1.1673728813559321e-05,
745
+ "loss": 0.5929,
746
+ "step": 45000
747
+ },
748
+ {
749
+ "epoch": 1.85,
750
+ "learning_rate": 1.1470420469361149e-05,
751
+ "loss": 0.5767,
752
+ "step": 45500
753
+ },
754
+ {
755
+ "epoch": 1.87,
756
+ "learning_rate": 1.1266704693611475e-05,
757
+ "loss": 0.5763,
758
+ "step": 46000
759
+ },
760
+ {
761
+ "epoch": 1.87,
762
+ "eval_accuracy": 0.7293172690763052,
763
+ "eval_loss": 0.640717089176178,
764
+ "eval_runtime": 0.5976,
765
+ "eval_samples_per_second": 4166.642,
766
+ "eval_steps_per_second": 261.043,
767
+ "step": 46000
768
+ },
769
+ {
770
+ "epoch": 1.89,
771
+ "learning_rate": 1.10629889178618e-05,
772
+ "loss": 0.5852,
773
+ "step": 46500
774
+ },
775
+ {
776
+ "epoch": 1.91,
777
+ "learning_rate": 1.0859273142112126e-05,
778
+ "loss": 0.5845,
779
+ "step": 47000
780
+ },
781
+ {
782
+ "epoch": 1.94,
783
+ "learning_rate": 1.0655964797913951e-05,
784
+ "loss": 0.5817,
785
+ "step": 47500
786
+ },
787
+ {
788
+ "epoch": 1.96,
789
+ "learning_rate": 1.0452249022164278e-05,
790
+ "loss": 0.5767,
791
+ "step": 48000
792
+ },
793
+ {
794
+ "epoch": 1.96,
795
+ "eval_accuracy": 0.7220883534136546,
796
+ "eval_loss": 0.653072714805603,
797
+ "eval_runtime": 0.588,
798
+ "eval_samples_per_second": 4234.632,
799
+ "eval_steps_per_second": 265.302,
800
+ "step": 48000
801
+ },
802
+ {
803
+ "epoch": 1.98,
804
+ "learning_rate": 1.0248533246414602e-05,
805
+ "loss": 0.5832,
806
+ "step": 48500
807
+ },
808
+ {
809
+ "epoch": 2.0,
810
+ "learning_rate": 1.0044817470664928e-05,
811
+ "loss": 0.5842,
812
+ "step": 49000
813
+ },
814
+ {
815
+ "epoch": 2.02,
816
+ "learning_rate": 9.841509126466754e-06,
817
+ "loss": 0.5185,
818
+ "step": 49500
819
+ },
820
+ {
821
+ "epoch": 2.04,
822
+ "learning_rate": 9.637793350717079e-06,
823
+ "loss": 0.5249,
824
+ "step": 50000
825
+ },
826
+ {
827
+ "epoch": 2.04,
828
+ "eval_accuracy": 0.7317269076305221,
829
+ "eval_loss": 0.6527847647666931,
830
+ "eval_runtime": 0.5908,
831
+ "eval_samples_per_second": 4214.33,
832
+ "eval_steps_per_second": 264.03,
833
+ "step": 50000
834
+ },
835
+ {
836
+ "epoch": 2.06,
837
+ "learning_rate": 9.434077574967405e-06,
838
+ "loss": 0.5192,
839
+ "step": 50500
840
+ },
841
+ {
842
+ "epoch": 2.08,
843
+ "learning_rate": 9.230361799217731e-06,
844
+ "loss": 0.5124,
845
+ "step": 51000
846
+ },
847
+ {
848
+ "epoch": 2.1,
849
+ "learning_rate": 9.026646023468058e-06,
850
+ "loss": 0.5136,
851
+ "step": 51500
852
+ },
853
+ {
854
+ "epoch": 2.12,
855
+ "learning_rate": 8.823337679269881e-06,
856
+ "loss": 0.5156,
857
+ "step": 52000
858
+ },
859
+ {
860
+ "epoch": 2.12,
861
+ "eval_accuracy": 0.7309236947791165,
862
+ "eval_loss": 0.6581133604049683,
863
+ "eval_runtime": 0.5908,
864
+ "eval_samples_per_second": 4214.598,
865
+ "eval_steps_per_second": 264.047,
866
+ "step": 52000
867
+ },
868
+ {
869
+ "epoch": 2.14,
870
+ "learning_rate": 8.619621903520208e-06,
871
+ "loss": 0.5059,
872
+ "step": 52500
873
+ },
874
+ {
875
+ "epoch": 2.16,
876
+ "learning_rate": 8.415906127770534e-06,
877
+ "loss": 0.496,
878
+ "step": 53000
879
+ },
880
+ {
881
+ "epoch": 2.18,
882
+ "learning_rate": 8.21219035202086e-06,
883
+ "loss": 0.5136,
884
+ "step": 53500
885
+ },
886
+ {
887
+ "epoch": 2.2,
888
+ "learning_rate": 8.008882007822686e-06,
889
+ "loss": 0.507,
890
+ "step": 54000
891
+ },
892
+ {
893
+ "epoch": 2.2,
894
+ "eval_accuracy": 0.734136546184739,
895
+ "eval_loss": 0.6511837244033813,
896
+ "eval_runtime": 0.5907,
897
+ "eval_samples_per_second": 4215.648,
898
+ "eval_steps_per_second": 264.113,
899
+ "step": 54000
900
+ },
901
+ {
902
+ "epoch": 2.22,
903
+ "learning_rate": 7.805166232073012e-06,
904
+ "loss": 0.5093,
905
+ "step": 54500
906
+ },
907
+ {
908
+ "epoch": 2.24,
909
+ "learning_rate": 7.601450456323338e-06,
910
+ "loss": 0.5042,
911
+ "step": 55000
912
+ },
913
+ {
914
+ "epoch": 2.26,
915
+ "learning_rate": 7.397734680573664e-06,
916
+ "loss": 0.5008,
917
+ "step": 55500
918
+ },
919
+ {
920
+ "epoch": 2.28,
921
+ "learning_rate": 7.19401890482399e-06,
922
+ "loss": 0.5033,
923
+ "step": 56000
924
+ },
925
+ {
926
+ "epoch": 2.28,
927
+ "eval_accuracy": 0.7385542168674699,
928
+ "eval_loss": 0.6447919607162476,
929
+ "eval_runtime": 0.5923,
930
+ "eval_samples_per_second": 4203.946,
931
+ "eval_steps_per_second": 263.38,
932
+ "step": 56000
933
+ },
934
+ {
935
+ "epoch": 2.3,
936
+ "learning_rate": 6.990710560625815e-06,
937
+ "loss": 0.511,
938
+ "step": 56500
939
+ },
940
+ {
941
+ "epoch": 2.32,
942
+ "learning_rate": 6.786994784876141e-06,
943
+ "loss": 0.5091,
944
+ "step": 57000
945
+ },
946
+ {
947
+ "epoch": 2.34,
948
+ "learning_rate": 6.583279009126467e-06,
949
+ "loss": 0.5207,
950
+ "step": 57500
951
+ },
952
+ {
953
+ "epoch": 2.36,
954
+ "learning_rate": 6.379563233376792e-06,
955
+ "loss": 0.5174,
956
+ "step": 58000
957
+ },
958
+ {
959
+ "epoch": 2.36,
960
+ "eval_accuracy": 0.7313253012048193,
961
+ "eval_loss": 0.6609730124473572,
962
+ "eval_runtime": 0.5899,
963
+ "eval_samples_per_second": 4221.14,
964
+ "eval_steps_per_second": 264.457,
965
+ "step": 58000
966
+ },
967
+ {
968
+ "epoch": 2.38,
969
+ "learning_rate": 6.176254889178618e-06,
970
+ "loss": 0.5105,
971
+ "step": 58500
972
+ },
973
+ {
974
+ "epoch": 2.4,
975
+ "learning_rate": 5.972539113428944e-06,
976
+ "loss": 0.5024,
977
+ "step": 59000
978
+ },
979
+ {
980
+ "epoch": 2.42,
981
+ "learning_rate": 5.7688233376792704e-06,
982
+ "loss": 0.5061,
983
+ "step": 59500
984
+ },
985
+ {
986
+ "epoch": 2.44,
987
+ "learning_rate": 5.565107561929596e-06,
988
+ "loss": 0.5,
989
+ "step": 60000
990
+ },
991
+ {
992
+ "epoch": 2.44,
993
+ "eval_accuracy": 0.7333333333333333,
994
+ "eval_loss": 0.6551468372344971,
995
+ "eval_runtime": 0.59,
996
+ "eval_samples_per_second": 4220.341,
997
+ "eval_steps_per_second": 264.407,
998
+ "step": 60000
999
+ },
1000
+ {
1001
+ "epoch": 2.46,
1002
+ "learning_rate": 5.3617992177314215e-06,
1003
+ "loss": 0.5108,
1004
+ "step": 60500
1005
+ },
1006
+ {
1007
+ "epoch": 2.49,
1008
+ "learning_rate": 5.158083441981748e-06,
1009
+ "loss": 0.5017,
1010
+ "step": 61000
1011
+ },
1012
+ {
1013
+ "epoch": 2.51,
1014
+ "learning_rate": 4.954367666232072e-06,
1015
+ "loss": 0.5192,
1016
+ "step": 61500
1017
+ },
1018
+ {
1019
+ "epoch": 2.53,
1020
+ "learning_rate": 4.750651890482399e-06,
1021
+ "loss": 0.5016,
1022
+ "step": 62000
1023
+ },
1024
+ {
1025
+ "epoch": 2.53,
1026
+ "eval_accuracy": 0.7405622489959839,
1027
+ "eval_loss": 0.6423055529594421,
1028
+ "eval_runtime": 0.5906,
1029
+ "eval_samples_per_second": 4216.028,
1030
+ "eval_steps_per_second": 264.137,
1031
+ "step": 62000
1032
+ },
1033
+ {
1034
+ "epoch": 2.55,
1035
+ "learning_rate": 4.547343546284224e-06,
1036
+ "loss": 0.5066,
1037
+ "step": 62500
1038
+ },
1039
+ {
1040
+ "epoch": 2.57,
1041
+ "learning_rate": 4.343627770534551e-06,
1042
+ "loss": 0.5017,
1043
+ "step": 63000
1044
+ },
1045
+ {
1046
+ "epoch": 2.59,
1047
+ "learning_rate": 4.140319426336375e-06,
1048
+ "loss": 0.5159,
1049
+ "step": 63500
1050
+ },
1051
+ {
1052
+ "epoch": 2.61,
1053
+ "learning_rate": 3.936603650586702e-06,
1054
+ "loss": 0.5105,
1055
+ "step": 64000
1056
+ },
1057
+ {
1058
+ "epoch": 2.61,
1059
+ "eval_accuracy": 0.7329317269076305,
1060
+ "eval_loss": 0.6546612977981567,
1061
+ "eval_runtime": 0.5911,
1062
+ "eval_samples_per_second": 4212.749,
1063
+ "eval_steps_per_second": 263.931,
1064
+ "step": 64000
1065
+ },
1066
+ {
1067
+ "epoch": 2.63,
1068
+ "learning_rate": 3.7328878748370275e-06,
1069
+ "loss": 0.5042,
1070
+ "step": 64500
1071
+ },
1072
+ {
1073
+ "epoch": 2.65,
1074
+ "learning_rate": 3.5291720990873534e-06,
1075
+ "loss": 0.5025,
1076
+ "step": 65000
1077
+ },
1078
+ {
1079
+ "epoch": 2.67,
1080
+ "learning_rate": 3.3254563233376792e-06,
1081
+ "loss": 0.5043,
1082
+ "step": 65500
1083
+ },
1084
+ {
1085
+ "epoch": 2.69,
1086
+ "learning_rate": 3.1217405475880055e-06,
1087
+ "loss": 0.5091,
1088
+ "step": 66000
1089
+ },
1090
+ {
1091
+ "epoch": 2.69,
1092
+ "eval_accuracy": 0.7305220883534137,
1093
+ "eval_loss": 0.6591814756393433,
1094
+ "eval_runtime": 0.5919,
1095
+ "eval_samples_per_second": 4206.957,
1096
+ "eval_steps_per_second": 263.568,
1097
+ "step": 66000
1098
+ },
1099
+ {
1100
+ "epoch": 2.71,
1101
+ "learning_rate": 2.918024771838331e-06,
1102
+ "loss": 0.5049,
1103
+ "step": 66500
1104
+ },
1105
+ {
1106
+ "epoch": 2.73,
1107
+ "learning_rate": 2.7143089960886573e-06,
1108
+ "loss": 0.4968,
1109
+ "step": 67000
1110
+ },
1111
+ {
1112
+ "epoch": 2.75,
1113
+ "learning_rate": 2.5110006518904825e-06,
1114
+ "loss": 0.5058,
1115
+ "step": 67500
1116
+ },
1117
+ {
1118
+ "epoch": 2.77,
1119
+ "learning_rate": 2.3072848761408087e-06,
1120
+ "loss": 0.5142,
1121
+ "step": 68000
1122
+ },
1123
+ {
1124
+ "epoch": 2.77,
1125
+ "eval_accuracy": 0.7401606425702811,
1126
+ "eval_loss": 0.648106575012207,
1127
+ "eval_runtime": 0.5937,
1128
+ "eval_samples_per_second": 4194.216,
1129
+ "eval_steps_per_second": 262.77,
1130
+ "step": 68000
1131
+ },
1132
+ {
1133
+ "epoch": 2.79,
1134
+ "learning_rate": 2.103569100391134e-06,
1135
+ "loss": 0.4923,
1136
+ "step": 68500
1137
+ },
1138
+ {
1139
+ "epoch": 2.81,
1140
+ "learning_rate": 1.89985332464146e-06,
1141
+ "loss": 0.5092,
1142
+ "step": 69000
1143
+ },
1144
+ {
1145
+ "epoch": 2.83,
1146
+ "learning_rate": 1.6965449804432857e-06,
1147
+ "loss": 0.5197,
1148
+ "step": 69500
1149
+ },
1150
+ {
1151
+ "epoch": 2.85,
1152
+ "learning_rate": 1.4928292046936115e-06,
1153
+ "loss": 0.5088,
1154
+ "step": 70000
1155
+ },
1156
+ {
1157
+ "epoch": 2.85,
1158
+ "eval_accuracy": 0.7389558232931727,
1159
+ "eval_loss": 0.6492660641670227,
1160
+ "eval_runtime": 0.5917,
1161
+ "eval_samples_per_second": 4207.954,
1162
+ "eval_steps_per_second": 263.631,
1163
+ "step": 70000
1164
+ },
1165
+ {
1166
+ "epoch": 2.87,
1167
+ "learning_rate": 1.2891134289439376e-06,
1168
+ "loss": 0.5246,
1169
+ "step": 70500
1170
+ },
1171
+ {
1172
+ "epoch": 2.89,
1173
+ "learning_rate": 1.0853976531942633e-06,
1174
+ "loss": 0.5053,
1175
+ "step": 71000
1176
+ },
1177
+ {
1178
+ "epoch": 2.91,
1179
+ "learning_rate": 8.816818774445892e-07,
1180
+ "loss": 0.5007,
1181
+ "step": 71500
1182
+ },
1183
+ {
1184
+ "epoch": 2.93,
1185
+ "learning_rate": 6.783735332464145e-07,
1186
+ "loss": 0.5012,
1187
+ "step": 72000
1188
+ },
1189
+ {
1190
+ "epoch": 2.93,
1191
+ "eval_accuracy": 0.7417670682730924,
1192
+ "eval_loss": 0.6490946412086487,
1193
+ "eval_runtime": 0.591,
1194
+ "eval_samples_per_second": 4213.476,
1195
+ "eval_steps_per_second": 263.977,
1196
+ "step": 72000
1197
+ },
1198
+ {
1199
+ "epoch": 2.95,
1200
+ "learning_rate": 4.7465775749674057e-07,
1201
+ "loss": 0.5039,
1202
+ "step": 72500
1203
+ },
1204
+ {
1205
+ "epoch": 2.97,
1206
+ "learning_rate": 2.7094198174706654e-07,
1207
+ "loss": 0.5009,
1208
+ "step": 73000
1209
+ },
1210
+ {
1211
+ "epoch": 2.99,
1212
+ "learning_rate": 6.722620599739244e-08,
1213
+ "loss": 0.5134,
1214
+ "step": 73500
1215
+ },
1216
+ {
1217
+ "epoch": 3.0,
1218
+ "step": 73632,
1219
+ "total_flos": 809331840200640.0,
1220
+ "train_loss": 0.6086252490005924,
1221
+ "train_runtime": 925.6681,
1222
+ "train_samples_per_second": 1272.709,
1223
+ "train_steps_per_second": 79.545
1224
+ }
1225
+ ],
1226
+ "max_steps": 73632,
1227
+ "num_train_epochs": 3,
1228
+ "total_flos": 809331840200640.0,
1229
+ "trial_name": null,
1230
+ "trial_params": null
1231
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c42e120fdbbb34b15045edf7b2a1841ccbe548b7c6a785f9fc3ce6a8aff83ffe
3
+ size 2863