longcld commited on
Commit
9b96dff
1 Parent(s): 81e8962
added_tokens.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"<sep>": 250100, "<hl>": 250101}
config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "longcld/t5_small_qg_ae_hl",
3
+ "architectures": [
4
+ "T5ForConditionalGeneration"
5
+ ],
6
+ "d_ff": 2048,
7
+ "d_kv": 64,
8
+ "d_model": 512,
9
+ "decoder_start_token_id": 0,
10
+ "dropout_rate": 0.1,
11
+ "eos_token_id": 1,
12
+ "feed_forward_proj": "relu",
13
+ "gradient_checkpointing": false,
14
+ "initializer_factor": 1.0,
15
+ "is_encoder_decoder": true,
16
+ "layer_norm_epsilon": 1e-06,
17
+ "model_type": "t5",
18
+ "n_positions": 512,
19
+ "num_decoder_layers": 6,
20
+ "num_heads": 8,
21
+ "num_layers": 6,
22
+ "output_past": true,
23
+ "pad_token_id": 0,
24
+ "relative_attention_num_buckets": 32,
25
+ "task_specific_params": {
26
+ "summarization": {
27
+ "early_stopping": true,
28
+ "length_penalty": 2.0,
29
+ "max_length": 200,
30
+ "min_length": 30,
31
+ "no_repeat_ngram_size": 3,
32
+ "num_beams": 4,
33
+ "prefix": "summarize: "
34
+ },
35
+ "translation_en_to_de": {
36
+ "early_stopping": true,
37
+ "max_length": 300,
38
+ "num_beams": 4,
39
+ "prefix": "translate English to German: "
40
+ },
41
+ "translation_en_to_fr": {
42
+ "early_stopping": true,
43
+ "max_length": 300,
44
+ "num_beams": 4,
45
+ "prefix": "translate English to French: "
46
+ },
47
+ "translation_en_to_ro": {
48
+ "early_stopping": true,
49
+ "max_length": 300,
50
+ "num_beams": 4,
51
+ "prefix": "translate English to Romanian: "
52
+ }
53
+ },
54
+ "transformers_version": "4.8.2",
55
+ "use_cache": true,
56
+ "vocab_size": 250102
57
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cafcbabe44129021a4c434700895f4a381dea17217609eb51c0a718f7865419
3
+ size 352532601
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc4ee4accfb37af01b780682fd323c899422d9cec7a497f8c73d2ab80eff71c9
3
+ size 688496379
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cb03b397116ba5e1d68c79af691ec304b5f5ba17a9449d6c4a526074ae59ece
3
+ size 14503
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5bcc45b7354d78b5006455dce5c3b813f18a1360e72f327da537744731c6bae3
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
spiece.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
3
+ size 4309802
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "sp_model_kwargs": {}, "special_tokens_map_file": "C:\\Users\\hydra/.cache\\huggingface\\transformers\\bde22e2f08347211bf47b72fb4730b4b9a2e3323a6a1254932cf0fb969eb18cd.b02fba13e4584f40329b20be0bad88c2ef97b5fda7d9f4f69b1cb3a620568a86", "tokenizer_file": null, "name_or_path": "longcld/t5_small_qg_ae_hl", "tokenizer_class": "T5Tokenizer"}
trainer_state.json ADDED
@@ -0,0 +1,1246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.7235286302643815,
5
+ "global_step": 20500,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 0.0009986714494486515,
13
+ "loss": 3.2529,
14
+ "step": 100
15
+ },
16
+ {
17
+ "epoch": 0.03,
18
+ "learning_rate": 0.000997342898897303,
19
+ "loss": 3.1978,
20
+ "step": 200
21
+ },
22
+ {
23
+ "epoch": 0.04,
24
+ "learning_rate": 0.0009960143483459547,
25
+ "loss": 3.1849,
26
+ "step": 300
27
+ },
28
+ {
29
+ "epoch": 0.05,
30
+ "learning_rate": 0.0009946857977946061,
31
+ "loss": 3.1539,
32
+ "step": 400
33
+ },
34
+ {
35
+ "epoch": 0.07,
36
+ "learning_rate": 0.0009933572472432576,
37
+ "loss": 3.1202,
38
+ "step": 500
39
+ },
40
+ {
41
+ "epoch": 0.08,
42
+ "learning_rate": 0.000992028696691909,
43
+ "loss": 3.0483,
44
+ "step": 600
45
+ },
46
+ {
47
+ "epoch": 0.09,
48
+ "learning_rate": 0.0009907001461405608,
49
+ "loss": 3.0669,
50
+ "step": 700
51
+ },
52
+ {
53
+ "epoch": 0.11,
54
+ "learning_rate": 0.0009893715955892122,
55
+ "loss": 3.0665,
56
+ "step": 800
57
+ },
58
+ {
59
+ "epoch": 0.12,
60
+ "learning_rate": 0.0009880430450378637,
61
+ "loss": 3.0196,
62
+ "step": 900
63
+ },
64
+ {
65
+ "epoch": 0.13,
66
+ "learning_rate": 0.0009867144944865152,
67
+ "loss": 3.009,
68
+ "step": 1000
69
+ },
70
+ {
71
+ "epoch": 0.15,
72
+ "learning_rate": 0.0009853859439351669,
73
+ "loss": 3.0046,
74
+ "step": 1100
75
+ },
76
+ {
77
+ "epoch": 0.16,
78
+ "learning_rate": 0.0009840573933838183,
79
+ "loss": 2.9368,
80
+ "step": 1200
81
+ },
82
+ {
83
+ "epoch": 0.17,
84
+ "learning_rate": 0.0009827288428324698,
85
+ "loss": 2.9478,
86
+ "step": 1300
87
+ },
88
+ {
89
+ "epoch": 0.19,
90
+ "learning_rate": 0.0009814002922811213,
91
+ "loss": 2.879,
92
+ "step": 1400
93
+ },
94
+ {
95
+ "epoch": 0.2,
96
+ "learning_rate": 0.0009800717417297728,
97
+ "loss": 2.8613,
98
+ "step": 1500
99
+ },
100
+ {
101
+ "epoch": 0.21,
102
+ "learning_rate": 0.0009787431911784245,
103
+ "loss": 2.9318,
104
+ "step": 1600
105
+ },
106
+ {
107
+ "epoch": 0.23,
108
+ "learning_rate": 0.000977414640627076,
109
+ "loss": 2.9453,
110
+ "step": 1700
111
+ },
112
+ {
113
+ "epoch": 0.24,
114
+ "learning_rate": 0.0009760860900757274,
115
+ "loss": 2.8773,
116
+ "step": 1800
117
+ },
118
+ {
119
+ "epoch": 0.25,
120
+ "learning_rate": 0.000974757539524379,
121
+ "loss": 2.9057,
122
+ "step": 1900
123
+ },
124
+ {
125
+ "epoch": 0.27,
126
+ "learning_rate": 0.0009734289889730305,
127
+ "loss": 2.8679,
128
+ "step": 2000
129
+ },
130
+ {
131
+ "epoch": 0.28,
132
+ "learning_rate": 0.0009721004384216819,
133
+ "loss": 2.8844,
134
+ "step": 2100
135
+ },
136
+ {
137
+ "epoch": 0.29,
138
+ "learning_rate": 0.0009707718878703334,
139
+ "loss": 2.8434,
140
+ "step": 2200
141
+ },
142
+ {
143
+ "epoch": 0.31,
144
+ "learning_rate": 0.0009694433373189851,
145
+ "loss": 2.8379,
146
+ "step": 2300
147
+ },
148
+ {
149
+ "epoch": 0.32,
150
+ "learning_rate": 0.0009681147867676366,
151
+ "loss": 2.8515,
152
+ "step": 2400
153
+ },
154
+ {
155
+ "epoch": 0.33,
156
+ "learning_rate": 0.000966786236216288,
157
+ "loss": 2.8525,
158
+ "step": 2500
159
+ },
160
+ {
161
+ "epoch": 0.35,
162
+ "learning_rate": 0.0009654576856649395,
163
+ "loss": 2.816,
164
+ "step": 2600
165
+ },
166
+ {
167
+ "epoch": 0.36,
168
+ "learning_rate": 0.0009641291351135911,
169
+ "loss": 2.8333,
170
+ "step": 2700
171
+ },
172
+ {
173
+ "epoch": 0.37,
174
+ "learning_rate": 0.0009628005845622427,
175
+ "loss": 2.7859,
176
+ "step": 2800
177
+ },
178
+ {
179
+ "epoch": 0.39,
180
+ "learning_rate": 0.0009614720340108941,
181
+ "loss": 2.8099,
182
+ "step": 2900
183
+ },
184
+ {
185
+ "epoch": 0.4,
186
+ "learning_rate": 0.0009601434834595456,
187
+ "loss": 2.8097,
188
+ "step": 3000
189
+ },
190
+ {
191
+ "epoch": 0.41,
192
+ "learning_rate": 0.0009588149329081972,
193
+ "loss": 2.7639,
194
+ "step": 3100
195
+ },
196
+ {
197
+ "epoch": 0.43,
198
+ "learning_rate": 0.0009574863823568487,
199
+ "loss": 2.7792,
200
+ "step": 3200
201
+ },
202
+ {
203
+ "epoch": 0.44,
204
+ "learning_rate": 0.0009561578318055003,
205
+ "loss": 2.7894,
206
+ "step": 3300
207
+ },
208
+ {
209
+ "epoch": 0.45,
210
+ "learning_rate": 0.0009548292812541517,
211
+ "loss": 2.7797,
212
+ "step": 3400
213
+ },
214
+ {
215
+ "epoch": 0.46,
216
+ "learning_rate": 0.0009535007307028033,
217
+ "loss": 2.7387,
218
+ "step": 3500
219
+ },
220
+ {
221
+ "epoch": 0.48,
222
+ "learning_rate": 0.0009521721801514548,
223
+ "loss": 2.7752,
224
+ "step": 3600
225
+ },
226
+ {
227
+ "epoch": 0.49,
228
+ "learning_rate": 0.0009508436296001063,
229
+ "loss": 2.6998,
230
+ "step": 3700
231
+ },
232
+ {
233
+ "epoch": 0.5,
234
+ "learning_rate": 0.0009495150790487578,
235
+ "loss": 2.7701,
236
+ "step": 3800
237
+ },
238
+ {
239
+ "epoch": 0.52,
240
+ "learning_rate": 0.0009481865284974094,
241
+ "loss": 2.7543,
242
+ "step": 3900
243
+ },
244
+ {
245
+ "epoch": 0.53,
246
+ "learning_rate": 0.0009468579779460609,
247
+ "loss": 2.6621,
248
+ "step": 4000
249
+ },
250
+ {
251
+ "epoch": 0.54,
252
+ "learning_rate": 0.0009455294273947124,
253
+ "loss": 2.6957,
254
+ "step": 4100
255
+ },
256
+ {
257
+ "epoch": 0.56,
258
+ "learning_rate": 0.0009442008768433638,
259
+ "loss": 2.7165,
260
+ "step": 4200
261
+ },
262
+ {
263
+ "epoch": 0.57,
264
+ "learning_rate": 0.0009428723262920155,
265
+ "loss": 2.6919,
266
+ "step": 4300
267
+ },
268
+ {
269
+ "epoch": 0.58,
270
+ "learning_rate": 0.000941543775740667,
271
+ "loss": 2.7239,
272
+ "step": 4400
273
+ },
274
+ {
275
+ "epoch": 0.6,
276
+ "learning_rate": 0.0009402152251893185,
277
+ "loss": 2.6743,
278
+ "step": 4500
279
+ },
280
+ {
281
+ "epoch": 0.61,
282
+ "learning_rate": 0.0009388866746379699,
283
+ "loss": 2.708,
284
+ "step": 4600
285
+ },
286
+ {
287
+ "epoch": 0.62,
288
+ "learning_rate": 0.0009375581240866215,
289
+ "loss": 2.7201,
290
+ "step": 4700
291
+ },
292
+ {
293
+ "epoch": 0.64,
294
+ "learning_rate": 0.000936229573535273,
295
+ "loss": 2.7207,
296
+ "step": 4800
297
+ },
298
+ {
299
+ "epoch": 0.65,
300
+ "learning_rate": 0.0009349010229839246,
301
+ "loss": 2.7046,
302
+ "step": 4900
303
+ },
304
+ {
305
+ "epoch": 0.66,
306
+ "learning_rate": 0.000933572472432576,
307
+ "loss": 2.6758,
308
+ "step": 5000
309
+ },
310
+ {
311
+ "epoch": 0.68,
312
+ "learning_rate": 0.0009322439218812276,
313
+ "loss": 2.6754,
314
+ "step": 5100
315
+ },
316
+ {
317
+ "epoch": 0.69,
318
+ "learning_rate": 0.0009309153713298791,
319
+ "loss": 2.6408,
320
+ "step": 5200
321
+ },
322
+ {
323
+ "epoch": 0.7,
324
+ "learning_rate": 0.0009295868207785306,
325
+ "loss": 2.6306,
326
+ "step": 5300
327
+ },
328
+ {
329
+ "epoch": 0.72,
330
+ "learning_rate": 0.0009282582702271822,
331
+ "loss": 2.6455,
332
+ "step": 5400
333
+ },
334
+ {
335
+ "epoch": 0.73,
336
+ "learning_rate": 0.0009269297196758337,
337
+ "loss": 2.6905,
338
+ "step": 5500
339
+ },
340
+ {
341
+ "epoch": 0.74,
342
+ "learning_rate": 0.0009256011691244852,
343
+ "loss": 2.6132,
344
+ "step": 5600
345
+ },
346
+ {
347
+ "epoch": 0.76,
348
+ "learning_rate": 0.0009242726185731367,
349
+ "loss": 2.6048,
350
+ "step": 5700
351
+ },
352
+ {
353
+ "epoch": 0.77,
354
+ "learning_rate": 0.0009229440680217882,
355
+ "loss": 2.5945,
356
+ "step": 5800
357
+ },
358
+ {
359
+ "epoch": 0.78,
360
+ "learning_rate": 0.0009216155174704398,
361
+ "loss": 2.6384,
362
+ "step": 5900
363
+ },
364
+ {
365
+ "epoch": 0.8,
366
+ "learning_rate": 0.0009202869669190913,
367
+ "loss": 2.615,
368
+ "step": 6000
369
+ },
370
+ {
371
+ "epoch": 0.81,
372
+ "learning_rate": 0.0009189584163677428,
373
+ "loss": 2.6281,
374
+ "step": 6100
375
+ },
376
+ {
377
+ "epoch": 0.82,
378
+ "learning_rate": 0.0009176298658163943,
379
+ "loss": 2.5965,
380
+ "step": 6200
381
+ },
382
+ {
383
+ "epoch": 0.84,
384
+ "learning_rate": 0.0009163013152650458,
385
+ "loss": 2.6704,
386
+ "step": 6300
387
+ },
388
+ {
389
+ "epoch": 0.85,
390
+ "learning_rate": 0.0009149727647136974,
391
+ "loss": 2.5665,
392
+ "step": 6400
393
+ },
394
+ {
395
+ "epoch": 0.86,
396
+ "learning_rate": 0.0009136442141623489,
397
+ "loss": 2.6324,
398
+ "step": 6500
399
+ },
400
+ {
401
+ "epoch": 0.88,
402
+ "learning_rate": 0.0009123156636110004,
403
+ "loss": 2.6258,
404
+ "step": 6600
405
+ },
406
+ {
407
+ "epoch": 0.89,
408
+ "learning_rate": 0.000910987113059652,
409
+ "loss": 2.6006,
410
+ "step": 6700
411
+ },
412
+ {
413
+ "epoch": 0.9,
414
+ "learning_rate": 0.0009096585625083034,
415
+ "loss": 2.5908,
416
+ "step": 6800
417
+ },
418
+ {
419
+ "epoch": 0.92,
420
+ "learning_rate": 0.000908330011956955,
421
+ "loss": 2.5855,
422
+ "step": 6900
423
+ },
424
+ {
425
+ "epoch": 0.93,
426
+ "learning_rate": 0.0009070014614056065,
427
+ "loss": 2.6421,
428
+ "step": 7000
429
+ },
430
+ {
431
+ "epoch": 0.94,
432
+ "learning_rate": 0.0009056729108542581,
433
+ "loss": 2.6084,
434
+ "step": 7100
435
+ },
436
+ {
437
+ "epoch": 0.96,
438
+ "learning_rate": 0.0009043443603029095,
439
+ "loss": 2.6102,
440
+ "step": 7200
441
+ },
442
+ {
443
+ "epoch": 0.97,
444
+ "learning_rate": 0.000903015809751561,
445
+ "loss": 2.5543,
446
+ "step": 7300
447
+ },
448
+ {
449
+ "epoch": 0.98,
450
+ "learning_rate": 0.0009016872592002126,
451
+ "loss": 2.5746,
452
+ "step": 7400
453
+ },
454
+ {
455
+ "epoch": 1.0,
456
+ "learning_rate": 0.0009003587086488642,
457
+ "loss": 2.5401,
458
+ "step": 7500
459
+ },
460
+ {
461
+ "epoch": 1.01,
462
+ "learning_rate": 0.0008990301580975156,
463
+ "loss": 2.489,
464
+ "step": 7600
465
+ },
466
+ {
467
+ "epoch": 1.02,
468
+ "learning_rate": 0.0008977016075461671,
469
+ "loss": 2.5211,
470
+ "step": 7700
471
+ },
472
+ {
473
+ "epoch": 1.04,
474
+ "learning_rate": 0.0008963730569948186,
475
+ "loss": 2.548,
476
+ "step": 7800
477
+ },
478
+ {
479
+ "epoch": 1.05,
480
+ "learning_rate": 0.0008950445064434703,
481
+ "loss": 2.5165,
482
+ "step": 7900
483
+ },
484
+ {
485
+ "epoch": 1.06,
486
+ "learning_rate": 0.0008937159558921218,
487
+ "loss": 2.4884,
488
+ "step": 8000
489
+ },
490
+ {
491
+ "epoch": 1.08,
492
+ "learning_rate": 0.0008923874053407732,
493
+ "loss": 2.4682,
494
+ "step": 8100
495
+ },
496
+ {
497
+ "epoch": 1.09,
498
+ "learning_rate": 0.0008910588547894247,
499
+ "loss": 2.4754,
500
+ "step": 8200
501
+ },
502
+ {
503
+ "epoch": 1.1,
504
+ "learning_rate": 0.0008897303042380763,
505
+ "loss": 2.5076,
506
+ "step": 8300
507
+ },
508
+ {
509
+ "epoch": 1.12,
510
+ "learning_rate": 0.0008884017536867279,
511
+ "loss": 2.5088,
512
+ "step": 8400
513
+ },
514
+ {
515
+ "epoch": 1.13,
516
+ "learning_rate": 0.0008870732031353793,
517
+ "loss": 2.4578,
518
+ "step": 8500
519
+ },
520
+ {
521
+ "epoch": 1.14,
522
+ "learning_rate": 0.0008857446525840308,
523
+ "loss": 2.4815,
524
+ "step": 8600
525
+ },
526
+ {
527
+ "epoch": 1.16,
528
+ "learning_rate": 0.0008844161020326824,
529
+ "loss": 2.5504,
530
+ "step": 8700
531
+ },
532
+ {
533
+ "epoch": 1.17,
534
+ "learning_rate": 0.0008830875514813339,
535
+ "loss": 2.4883,
536
+ "step": 8800
537
+ },
538
+ {
539
+ "epoch": 1.18,
540
+ "learning_rate": 0.0008817590009299854,
541
+ "loss": 2.4907,
542
+ "step": 8900
543
+ },
544
+ {
545
+ "epoch": 1.2,
546
+ "learning_rate": 0.0008804304503786369,
547
+ "loss": 2.4817,
548
+ "step": 9000
549
+ },
550
+ {
551
+ "epoch": 1.21,
552
+ "learning_rate": 0.0008791018998272885,
553
+ "loss": 2.4803,
554
+ "step": 9100
555
+ },
556
+ {
557
+ "epoch": 1.22,
558
+ "learning_rate": 0.00087777334927594,
559
+ "loss": 2.461,
560
+ "step": 9200
561
+ },
562
+ {
563
+ "epoch": 1.24,
564
+ "learning_rate": 0.0008764447987245914,
565
+ "loss": 2.4541,
566
+ "step": 9300
567
+ },
568
+ {
569
+ "epoch": 1.25,
570
+ "learning_rate": 0.000875116248173243,
571
+ "loss": 2.436,
572
+ "step": 9400
573
+ },
574
+ {
575
+ "epoch": 1.26,
576
+ "learning_rate": 0.0008737876976218946,
577
+ "loss": 2.4998,
578
+ "step": 9500
579
+ },
580
+ {
581
+ "epoch": 1.28,
582
+ "learning_rate": 0.0008724591470705461,
583
+ "loss": 2.4387,
584
+ "step": 9600
585
+ },
586
+ {
587
+ "epoch": 1.29,
588
+ "learning_rate": 0.0008711305965191976,
589
+ "loss": 2.5248,
590
+ "step": 9700
591
+ },
592
+ {
593
+ "epoch": 1.3,
594
+ "learning_rate": 0.000869802045967849,
595
+ "loss": 2.4285,
596
+ "step": 9800
597
+ },
598
+ {
599
+ "epoch": 1.32,
600
+ "learning_rate": 0.0008684734954165007,
601
+ "loss": 2.4363,
602
+ "step": 9900
603
+ },
604
+ {
605
+ "epoch": 1.33,
606
+ "learning_rate": 0.0008671449448651522,
607
+ "loss": 2.4629,
608
+ "step": 10000
609
+ },
610
+ {
611
+ "epoch": 1.34,
612
+ "learning_rate": 0.0008658163943138037,
613
+ "loss": 2.463,
614
+ "step": 10100
615
+ },
616
+ {
617
+ "epoch": 1.36,
618
+ "learning_rate": 0.0008644878437624551,
619
+ "loss": 2.5058,
620
+ "step": 10200
621
+ },
622
+ {
623
+ "epoch": 1.37,
624
+ "learning_rate": 0.0008631592932111067,
625
+ "loss": 2.4056,
626
+ "step": 10300
627
+ },
628
+ {
629
+ "epoch": 1.38,
630
+ "learning_rate": 0.0008618307426597583,
631
+ "loss": 2.4111,
632
+ "step": 10400
633
+ },
634
+ {
635
+ "epoch": 1.39,
636
+ "learning_rate": 0.0008605021921084098,
637
+ "loss": 2.4352,
638
+ "step": 10500
639
+ },
640
+ {
641
+ "epoch": 1.41,
642
+ "learning_rate": 0.0008591736415570612,
643
+ "loss": 2.4886,
644
+ "step": 10600
645
+ },
646
+ {
647
+ "epoch": 1.42,
648
+ "learning_rate": 0.0008578450910057127,
649
+ "loss": 2.4433,
650
+ "step": 10700
651
+ },
652
+ {
653
+ "epoch": 1.43,
654
+ "learning_rate": 0.0008565165404543643,
655
+ "loss": 2.471,
656
+ "step": 10800
657
+ },
658
+ {
659
+ "epoch": 1.45,
660
+ "learning_rate": 0.0008551879899030159,
661
+ "loss": 2.4446,
662
+ "step": 10900
663
+ },
664
+ {
665
+ "epoch": 1.46,
666
+ "learning_rate": 0.0008538594393516674,
667
+ "loss": 2.4567,
668
+ "step": 11000
669
+ },
670
+ {
671
+ "epoch": 1.47,
672
+ "learning_rate": 0.0008525308888003188,
673
+ "loss": 2.5048,
674
+ "step": 11100
675
+ },
676
+ {
677
+ "epoch": 1.49,
678
+ "learning_rate": 0.0008512023382489704,
679
+ "loss": 2.4119,
680
+ "step": 11200
681
+ },
682
+ {
683
+ "epoch": 1.5,
684
+ "learning_rate": 0.0008498737876976219,
685
+ "loss": 2.4098,
686
+ "step": 11300
687
+ },
688
+ {
689
+ "epoch": 1.51,
690
+ "learning_rate": 0.0008485452371462735,
691
+ "loss": 2.4108,
692
+ "step": 11400
693
+ },
694
+ {
695
+ "epoch": 1.53,
696
+ "learning_rate": 0.0008472166865949249,
697
+ "loss": 2.4016,
698
+ "step": 11500
699
+ },
700
+ {
701
+ "epoch": 1.54,
702
+ "learning_rate": 0.0008458881360435765,
703
+ "loss": 2.422,
704
+ "step": 11600
705
+ },
706
+ {
707
+ "epoch": 1.55,
708
+ "learning_rate": 0.000844559585492228,
709
+ "loss": 2.4645,
710
+ "step": 11700
711
+ },
712
+ {
713
+ "epoch": 1.57,
714
+ "learning_rate": 0.0008432310349408795,
715
+ "loss": 2.4218,
716
+ "step": 11800
717
+ },
718
+ {
719
+ "epoch": 1.58,
720
+ "learning_rate": 0.000841902484389531,
721
+ "loss": 2.4213,
722
+ "step": 11900
723
+ },
724
+ {
725
+ "epoch": 1.59,
726
+ "learning_rate": 0.0008405739338381826,
727
+ "loss": 2.389,
728
+ "step": 12000
729
+ },
730
+ {
731
+ "epoch": 1.61,
732
+ "learning_rate": 0.0008392453832868341,
733
+ "loss": 2.3751,
734
+ "step": 12100
735
+ },
736
+ {
737
+ "epoch": 1.62,
738
+ "learning_rate": 0.0008379168327354856,
739
+ "loss": 2.4552,
740
+ "step": 12200
741
+ },
742
+ {
743
+ "epoch": 1.63,
744
+ "learning_rate": 0.000836588282184137,
745
+ "loss": 2.4137,
746
+ "step": 12300
747
+ },
748
+ {
749
+ "epoch": 1.65,
750
+ "learning_rate": 0.0008352597316327887,
751
+ "loss": 2.3814,
752
+ "step": 12400
753
+ },
754
+ {
755
+ "epoch": 1.66,
756
+ "learning_rate": 0.0008339311810814402,
757
+ "loss": 2.3798,
758
+ "step": 12500
759
+ },
760
+ {
761
+ "epoch": 1.67,
762
+ "learning_rate": 0.0008326026305300917,
763
+ "loss": 2.384,
764
+ "step": 12600
765
+ },
766
+ {
767
+ "epoch": 1.69,
768
+ "learning_rate": 0.0008312740799787431,
769
+ "loss": 2.4628,
770
+ "step": 12700
771
+ },
772
+ {
773
+ "epoch": 1.7,
774
+ "learning_rate": 0.0008299455294273947,
775
+ "loss": 2.4149,
776
+ "step": 12800
777
+ },
778
+ {
779
+ "epoch": 1.71,
780
+ "learning_rate": 0.0008286169788760463,
781
+ "loss": 2.4083,
782
+ "step": 12900
783
+ },
784
+ {
785
+ "epoch": 1.73,
786
+ "learning_rate": 0.0008272884283246978,
787
+ "loss": 2.4374,
788
+ "step": 13000
789
+ },
790
+ {
791
+ "epoch": 1.74,
792
+ "learning_rate": 0.0008259598777733493,
793
+ "loss": 2.3741,
794
+ "step": 13100
795
+ },
796
+ {
797
+ "epoch": 1.75,
798
+ "learning_rate": 0.0008246313272220008,
799
+ "loss": 2.3797,
800
+ "step": 13200
801
+ },
802
+ {
803
+ "epoch": 1.77,
804
+ "learning_rate": 0.0008233027766706523,
805
+ "loss": 2.3884,
806
+ "step": 13300
807
+ },
808
+ {
809
+ "epoch": 1.78,
810
+ "learning_rate": 0.0008219742261193038,
811
+ "loss": 2.3931,
812
+ "step": 13400
813
+ },
814
+ {
815
+ "epoch": 1.79,
816
+ "learning_rate": 0.0008206456755679554,
817
+ "loss": 2.4227,
818
+ "step": 13500
819
+ },
820
+ {
821
+ "epoch": 1.81,
822
+ "learning_rate": 0.000819317125016607,
823
+ "loss": 2.417,
824
+ "step": 13600
825
+ },
826
+ {
827
+ "epoch": 1.82,
828
+ "learning_rate": 0.0008179885744652584,
829
+ "loss": 2.3735,
830
+ "step": 13700
831
+ },
832
+ {
833
+ "epoch": 1.83,
834
+ "learning_rate": 0.0008166600239139099,
835
+ "loss": 2.4168,
836
+ "step": 13800
837
+ },
838
+ {
839
+ "epoch": 1.85,
840
+ "learning_rate": 0.0008153314733625614,
841
+ "loss": 2.4211,
842
+ "step": 13900
843
+ },
844
+ {
845
+ "epoch": 1.86,
846
+ "learning_rate": 0.0008140029228112131,
847
+ "loss": 2.4075,
848
+ "step": 14000
849
+ },
850
+ {
851
+ "epoch": 1.87,
852
+ "learning_rate": 0.0008126743722598645,
853
+ "loss": 2.385,
854
+ "step": 14100
855
+ },
856
+ {
857
+ "epoch": 1.89,
858
+ "learning_rate": 0.000811345821708516,
859
+ "loss": 2.3975,
860
+ "step": 14200
861
+ },
862
+ {
863
+ "epoch": 1.9,
864
+ "learning_rate": 0.0008100172711571675,
865
+ "loss": 2.4189,
866
+ "step": 14300
867
+ },
868
+ {
869
+ "epoch": 1.91,
870
+ "learning_rate": 0.0008086887206058191,
871
+ "loss": 2.4126,
872
+ "step": 14400
873
+ },
874
+ {
875
+ "epoch": 1.93,
876
+ "learning_rate": 0.0008073601700544706,
877
+ "loss": 2.4129,
878
+ "step": 14500
879
+ },
880
+ {
881
+ "epoch": 1.94,
882
+ "learning_rate": 0.0008060316195031221,
883
+ "loss": 2.3709,
884
+ "step": 14600
885
+ },
886
+ {
887
+ "epoch": 1.95,
888
+ "learning_rate": 0.0008047030689517736,
889
+ "loss": 2.3723,
890
+ "step": 14700
891
+ },
892
+ {
893
+ "epoch": 1.97,
894
+ "learning_rate": 0.0008033745184004252,
895
+ "loss": 2.3315,
896
+ "step": 14800
897
+ },
898
+ {
899
+ "epoch": 1.98,
900
+ "learning_rate": 0.0008020459678490766,
901
+ "loss": 2.3557,
902
+ "step": 14900
903
+ },
904
+ {
905
+ "epoch": 1.99,
906
+ "learning_rate": 0.0008007174172977282,
907
+ "loss": 2.3327,
908
+ "step": 15000
909
+ },
910
+ {
911
+ "epoch": 2.01,
912
+ "learning_rate": 0.0007993888667463797,
913
+ "loss": 2.3288,
914
+ "step": 15100
915
+ },
916
+ {
917
+ "epoch": 2.02,
918
+ "learning_rate": 0.0007980603161950313,
919
+ "loss": 2.2879,
920
+ "step": 15200
921
+ },
922
+ {
923
+ "epoch": 2.03,
924
+ "learning_rate": 0.0007967317656436827,
925
+ "loss": 2.3298,
926
+ "step": 15300
927
+ },
928
+ {
929
+ "epoch": 2.05,
930
+ "learning_rate": 0.0007954032150923342,
931
+ "loss": 2.3611,
932
+ "step": 15400
933
+ },
934
+ {
935
+ "epoch": 2.06,
936
+ "learning_rate": 0.0007940746645409858,
937
+ "loss": 2.2829,
938
+ "step": 15500
939
+ },
940
+ {
941
+ "epoch": 2.07,
942
+ "learning_rate": 0.0007927461139896374,
943
+ "loss": 2.2791,
944
+ "step": 15600
945
+ },
946
+ {
947
+ "epoch": 2.09,
948
+ "learning_rate": 0.0007914175634382889,
949
+ "loss": 2.3107,
950
+ "step": 15700
951
+ },
952
+ {
953
+ "epoch": 2.1,
954
+ "learning_rate": 0.0007900890128869403,
955
+ "loss": 2.2678,
956
+ "step": 15800
957
+ },
958
+ {
959
+ "epoch": 2.11,
960
+ "learning_rate": 0.0007887604623355918,
961
+ "loss": 2.2461,
962
+ "step": 15900
963
+ },
964
+ {
965
+ "epoch": 2.13,
966
+ "learning_rate": 0.0007874319117842435,
967
+ "loss": 2.3019,
968
+ "step": 16000
969
+ },
970
+ {
971
+ "epoch": 2.14,
972
+ "learning_rate": 0.000786103361232895,
973
+ "loss": 2.3085,
974
+ "step": 16100
975
+ },
976
+ {
977
+ "epoch": 2.15,
978
+ "learning_rate": 0.0007847748106815464,
979
+ "loss": 2.2968,
980
+ "step": 16200
981
+ },
982
+ {
983
+ "epoch": 2.17,
984
+ "learning_rate": 0.0007834462601301979,
985
+ "loss": 2.3325,
986
+ "step": 16300
987
+ },
988
+ {
989
+ "epoch": 2.18,
990
+ "learning_rate": 0.0007821177095788495,
991
+ "loss": 2.2987,
992
+ "step": 16400
993
+ },
994
+ {
995
+ "epoch": 2.19,
996
+ "learning_rate": 0.0007807891590275011,
997
+ "loss": 2.3043,
998
+ "step": 16500
999
+ },
1000
+ {
1001
+ "epoch": 2.21,
1002
+ "learning_rate": 0.0007794606084761525,
1003
+ "loss": 2.2743,
1004
+ "step": 16600
1005
+ },
1006
+ {
1007
+ "epoch": 2.22,
1008
+ "learning_rate": 0.000778132057924804,
1009
+ "loss": 2.3369,
1010
+ "step": 16700
1011
+ },
1012
+ {
1013
+ "epoch": 2.23,
1014
+ "learning_rate": 0.0007768035073734556,
1015
+ "loss": 2.3084,
1016
+ "step": 16800
1017
+ },
1018
+ {
1019
+ "epoch": 2.25,
1020
+ "learning_rate": 0.0007754749568221071,
1021
+ "loss": 2.2688,
1022
+ "step": 16900
1023
+ },
1024
+ {
1025
+ "epoch": 2.26,
1026
+ "learning_rate": 0.0007741464062707587,
1027
+ "loss": 2.3203,
1028
+ "step": 17000
1029
+ },
1030
+ {
1031
+ "epoch": 2.27,
1032
+ "learning_rate": 0.0007728178557194101,
1033
+ "loss": 2.2956,
1034
+ "step": 17100
1035
+ },
1036
+ {
1037
+ "epoch": 2.29,
1038
+ "learning_rate": 0.0007714893051680617,
1039
+ "loss": 2.2939,
1040
+ "step": 17200
1041
+ },
1042
+ {
1043
+ "epoch": 2.3,
1044
+ "learning_rate": 0.0007701607546167132,
1045
+ "loss": 2.3379,
1046
+ "step": 17300
1047
+ },
1048
+ {
1049
+ "epoch": 2.31,
1050
+ "learning_rate": 0.0007688322040653647,
1051
+ "loss": 2.3161,
1052
+ "step": 17400
1053
+ },
1054
+ {
1055
+ "epoch": 2.32,
1056
+ "learning_rate": 0.0007675036535140162,
1057
+ "loss": 2.2423,
1058
+ "step": 17500
1059
+ },
1060
+ {
1061
+ "epoch": 2.34,
1062
+ "learning_rate": 0.0007661751029626678,
1063
+ "loss": 2.2982,
1064
+ "step": 17600
1065
+ },
1066
+ {
1067
+ "epoch": 2.35,
1068
+ "learning_rate": 0.0007648465524113193,
1069
+ "loss": 2.3019,
1070
+ "step": 17700
1071
+ },
1072
+ {
1073
+ "epoch": 2.36,
1074
+ "learning_rate": 0.0007635180018599708,
1075
+ "loss": 2.3133,
1076
+ "step": 17800
1077
+ },
1078
+ {
1079
+ "epoch": 2.38,
1080
+ "learning_rate": 0.0007621894513086222,
1081
+ "loss": 2.3209,
1082
+ "step": 17900
1083
+ },
1084
+ {
1085
+ "epoch": 2.39,
1086
+ "learning_rate": 0.0007608609007572739,
1087
+ "loss": 2.2685,
1088
+ "step": 18000
1089
+ },
1090
+ {
1091
+ "epoch": 2.4,
1092
+ "learning_rate": 0.0007595323502059254,
1093
+ "loss": 2.2641,
1094
+ "step": 18100
1095
+ },
1096
+ {
1097
+ "epoch": 2.42,
1098
+ "learning_rate": 0.0007582037996545769,
1099
+ "loss": 2.2284,
1100
+ "step": 18200
1101
+ },
1102
+ {
1103
+ "epoch": 2.43,
1104
+ "learning_rate": 0.0007568752491032283,
1105
+ "loss": 2.2937,
1106
+ "step": 18300
1107
+ },
1108
+ {
1109
+ "epoch": 2.44,
1110
+ "learning_rate": 0.0007555466985518799,
1111
+ "loss": 2.304,
1112
+ "step": 18400
1113
+ },
1114
+ {
1115
+ "epoch": 2.46,
1116
+ "learning_rate": 0.0007542181480005315,
1117
+ "loss": 2.2327,
1118
+ "step": 18500
1119
+ },
1120
+ {
1121
+ "epoch": 2.47,
1122
+ "learning_rate": 0.000752889597449183,
1123
+ "loss": 2.2515,
1124
+ "step": 18600
1125
+ },
1126
+ {
1127
+ "epoch": 2.48,
1128
+ "learning_rate": 0.0007515610468978344,
1129
+ "loss": 2.2844,
1130
+ "step": 18700
1131
+ },
1132
+ {
1133
+ "epoch": 2.5,
1134
+ "learning_rate": 0.000750232496346486,
1135
+ "loss": 2.2547,
1136
+ "step": 18800
1137
+ },
1138
+ {
1139
+ "epoch": 2.51,
1140
+ "learning_rate": 0.0007489039457951375,
1141
+ "loss": 2.2519,
1142
+ "step": 18900
1143
+ },
1144
+ {
1145
+ "epoch": 2.52,
1146
+ "learning_rate": 0.0007475753952437891,
1147
+ "loss": 2.2452,
1148
+ "step": 19000
1149
+ },
1150
+ {
1151
+ "epoch": 2.54,
1152
+ "learning_rate": 0.0007462468446924406,
1153
+ "loss": 2.2554,
1154
+ "step": 19100
1155
+ },
1156
+ {
1157
+ "epoch": 2.55,
1158
+ "learning_rate": 0.0007449182941410921,
1159
+ "loss": 2.2747,
1160
+ "step": 19200
1161
+ },
1162
+ {
1163
+ "epoch": 2.56,
1164
+ "learning_rate": 0.0007435897435897436,
1165
+ "loss": 2.2507,
1166
+ "step": 19300
1167
+ },
1168
+ {
1169
+ "epoch": 2.58,
1170
+ "learning_rate": 0.0007422611930383951,
1171
+ "loss": 2.2791,
1172
+ "step": 19400
1173
+ },
1174
+ {
1175
+ "epoch": 2.59,
1176
+ "learning_rate": 0.0007409326424870467,
1177
+ "loss": 2.2677,
1178
+ "step": 19500
1179
+ },
1180
+ {
1181
+ "epoch": 2.6,
1182
+ "learning_rate": 0.0007396040919356982,
1183
+ "loss": 2.3149,
1184
+ "step": 19600
1185
+ },
1186
+ {
1187
+ "epoch": 2.62,
1188
+ "learning_rate": 0.0007382755413843497,
1189
+ "loss": 2.27,
1190
+ "step": 19700
1191
+ },
1192
+ {
1193
+ "epoch": 2.63,
1194
+ "learning_rate": 0.0007369469908330012,
1195
+ "loss": 2.2977,
1196
+ "step": 19800
1197
+ },
1198
+ {
1199
+ "epoch": 2.64,
1200
+ "learning_rate": 0.0007356184402816527,
1201
+ "loss": 2.2718,
1202
+ "step": 19900
1203
+ },
1204
+ {
1205
+ "epoch": 2.66,
1206
+ "learning_rate": 0.0007342898897303044,
1207
+ "loss": 2.2379,
1208
+ "step": 20000
1209
+ },
1210
+ {
1211
+ "epoch": 2.67,
1212
+ "learning_rate": 0.0007329613391789558,
1213
+ "loss": 2.2691,
1214
+ "step": 20100
1215
+ },
1216
+ {
1217
+ "epoch": 2.68,
1218
+ "learning_rate": 0.0007316327886276073,
1219
+ "loss": 2.2407,
1220
+ "step": 20200
1221
+ },
1222
+ {
1223
+ "epoch": 2.7,
1224
+ "learning_rate": 0.0007303042380762588,
1225
+ "loss": 2.2707,
1226
+ "step": 20300
1227
+ },
1228
+ {
1229
+ "epoch": 2.71,
1230
+ "learning_rate": 0.0007289756875249104,
1231
+ "loss": 2.2163,
1232
+ "step": 20400
1233
+ },
1234
+ {
1235
+ "epoch": 2.72,
1236
+ "learning_rate": 0.0007276471369735619,
1237
+ "loss": 2.2541,
1238
+ "step": 20500
1239
+ }
1240
+ ],
1241
+ "max_steps": 75270,
1242
+ "num_train_epochs": 10,
1243
+ "total_flos": 2.418543044232192e+17,
1244
+ "trial_name": null,
1245
+ "trial_params": null
1246
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3454634fd5586c72136bb00fb38f3f6a0d3aa089ebb4ddc27a07c6040ccb2541
3
+ size 2607