PEFT
TensorBoard
sql
spider
text-to-sql
sql fine-tune
LoRA
QLoRa
adapter
richardr1126 commited on
Commit
b131b21
1 Parent(s): 695daa0

Upload folder using huggingface_hub

Browse files
.DS_Store ADDED
Binary file (6.15 kB). View file
 
README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: False
16
+ - bnb_4bit_compute_dtype: float16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0.dev0
adapter_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "WizardLM/WizardCoder-15B-V1.0",
3
+ "bias": "none",
4
+ "fan_in_fan_out": false,
5
+ "inference_mode": true,
6
+ "init_lora_weights": true,
7
+ "layers_pattern": null,
8
+ "layers_to_transform": null,
9
+ "lora_alpha": 16,
10
+ "lora_dropout": 0.1,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 64,
14
+ "revision": null,
15
+ "target_modules": [
16
+ "c_proj",
17
+ "c_attn",
18
+ "c_fc"
19
+ ],
20
+ "task_type": "CAUSAL_LM"
21
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c57bf08f3f6f772b59fbb37e7977cb3fdd5bed1615e2ce996d57fb8681400000
3
+ size 883539469
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 49152
3
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
special_tokens_map.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|endoftext|>",
4
+ "<fim_prefix>",
5
+ "<fim_middle>",
6
+ "<fim_suffix>",
7
+ "<fim_pad>",
8
+ "<filename>",
9
+ "<gh_stars>",
10
+ "<issue_start>",
11
+ "<issue_comment>",
12
+ "<issue_closed>",
13
+ "<jupyter_start>",
14
+ "<jupyter_text>",
15
+ "<jupyter_code>",
16
+ "<jupyter_output>",
17
+ "<empty_output>",
18
+ "<commit_before>",
19
+ "<commit_msg>",
20
+ "<commit_after>",
21
+ "<reponame>"
22
+ ],
23
+ "bos_token": "<|endoftext|>",
24
+ "eos_token": "<|endoftext|>",
25
+ "pad_token": "[PAD]",
26
+ "unk_token": "<|endoftext|>"
27
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "additional_special_tokens": [
4
+ "<|endoftext|>",
5
+ "<fim_prefix>",
6
+ "<fim_middle>",
7
+ "<fim_suffix>",
8
+ "<fim_pad>",
9
+ "<filename>",
10
+ "<gh_stars>",
11
+ "<issue_start>",
12
+ "<issue_comment>",
13
+ "<issue_closed>",
14
+ "<jupyter_start>",
15
+ "<jupyter_text>",
16
+ "<jupyter_code>",
17
+ "<jupyter_output>",
18
+ "<empty_output>",
19
+ "<commit_before>",
20
+ "<commit_msg>",
21
+ "<commit_after>",
22
+ "<reponame>"
23
+ ],
24
+ "bos_token": "<|endoftext|>",
25
+ "clean_up_tokenization_spaces": true,
26
+ "eos_token": "<|endoftext|>",
27
+ "model_max_length": 2048,
28
+ "padding_side": "right",
29
+ "tokenizer_class": "GPT2Tokenizer",
30
+ "unk_token": "<|endoftext|>",
31
+ "vocab_size": 49152
32
+ }
trainer_state.json ADDED
@@ -0,0 +1,616 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 8.0,
5
+ "global_step": 1000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.08,
12
+ "learning_rate": 4.4444444444444447e-05,
13
+ "loss": 1.5005,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.16,
18
+ "learning_rate": 8.888888888888889e-05,
19
+ "loss": 1.2648,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.24,
24
+ "learning_rate": 0.00013333333333333334,
25
+ "loss": 0.8406,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.32,
30
+ "learning_rate": 0.00017777777777777779,
31
+ "loss": 0.496,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.4,
36
+ "learning_rate": 0.00019931271477663232,
37
+ "loss": 0.2602,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.48,
42
+ "learning_rate": 0.00019793814432989693,
43
+ "loss": 0.1365,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.56,
48
+ "learning_rate": 0.0001965635738831615,
49
+ "loss": 0.131,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.64,
54
+ "learning_rate": 0.00019518900343642613,
55
+ "loss": 0.1219,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.72,
60
+ "learning_rate": 0.00019381443298969073,
61
+ "loss": 0.1053,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.8,
66
+ "learning_rate": 0.00019243986254295533,
67
+ "loss": 0.1071,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.88,
72
+ "learning_rate": 0.00019106529209621996,
73
+ "loss": 0.0878,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.96,
78
+ "learning_rate": 0.00018969072164948454,
79
+ "loss": 0.0863,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 1.04,
84
+ "learning_rate": 0.00018831615120274914,
85
+ "loss": 0.0918,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 1.12,
90
+ "learning_rate": 0.00018694158075601377,
91
+ "loss": 0.0898,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 1.2,
96
+ "learning_rate": 0.00018556701030927837,
97
+ "loss": 0.0829,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 1.28,
102
+ "learning_rate": 0.00018419243986254294,
103
+ "loss": 0.0721,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 1.36,
108
+ "learning_rate": 0.00018281786941580757,
109
+ "loss": 0.0752,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 1.44,
114
+ "learning_rate": 0.00018144329896907217,
115
+ "loss": 0.0821,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 1.52,
120
+ "learning_rate": 0.00018006872852233677,
121
+ "loss": 0.0741,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 1.6,
126
+ "learning_rate": 0.0001786941580756014,
127
+ "loss": 0.0665,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 1.68,
132
+ "learning_rate": 0.00017731958762886598,
133
+ "loss": 0.0833,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 1.76,
138
+ "learning_rate": 0.00017594501718213058,
139
+ "loss": 0.0726,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 1.84,
144
+ "learning_rate": 0.0001745704467353952,
145
+ "loss": 0.0624,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 1.92,
150
+ "learning_rate": 0.0001731958762886598,
151
+ "loss": 0.0716,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 2.0,
156
+ "learning_rate": 0.00017182130584192438,
157
+ "loss": 0.0827,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 2.08,
162
+ "learning_rate": 0.000170446735395189,
163
+ "loss": 0.0506,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 2.16,
168
+ "learning_rate": 0.00016907216494845361,
169
+ "loss": 0.0647,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 2.24,
174
+ "learning_rate": 0.00016769759450171822,
175
+ "loss": 0.0614,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 2.32,
180
+ "learning_rate": 0.00016632302405498285,
181
+ "loss": 0.0528,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 2.4,
186
+ "learning_rate": 0.00016494845360824742,
187
+ "loss": 0.0514,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 2.48,
192
+ "learning_rate": 0.00016357388316151202,
193
+ "loss": 0.0635,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 2.56,
198
+ "learning_rate": 0.00016219931271477665,
199
+ "loss": 0.0552,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 2.64,
204
+ "learning_rate": 0.00016082474226804125,
205
+ "loss": 0.06,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 2.72,
210
+ "learning_rate": 0.00015945017182130585,
211
+ "loss": 0.0611,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 2.8,
216
+ "learning_rate": 0.00015807560137457046,
217
+ "loss": 0.0667,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 2.88,
222
+ "learning_rate": 0.00015670103092783506,
223
+ "loss": 0.0669,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 2.96,
228
+ "learning_rate": 0.00015532646048109966,
229
+ "loss": 0.0589,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 3.04,
234
+ "learning_rate": 0.0001539518900343643,
235
+ "loss": 0.0516,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 3.12,
240
+ "learning_rate": 0.00015257731958762886,
241
+ "loss": 0.0415,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 3.2,
246
+ "learning_rate": 0.00015120274914089346,
247
+ "loss": 0.043,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 3.28,
252
+ "learning_rate": 0.0001498281786941581,
253
+ "loss": 0.0449,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 3.36,
258
+ "learning_rate": 0.0001484536082474227,
259
+ "loss": 0.0467,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 3.44,
264
+ "learning_rate": 0.0001470790378006873,
265
+ "loss": 0.0442,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 3.52,
270
+ "learning_rate": 0.0001457044673539519,
271
+ "loss": 0.0501,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 3.6,
276
+ "learning_rate": 0.0001443298969072165,
277
+ "loss": 0.0468,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 3.68,
282
+ "learning_rate": 0.0001429553264604811,
283
+ "loss": 0.0503,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 3.76,
288
+ "learning_rate": 0.00014158075601374573,
289
+ "loss": 0.0503,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 3.84,
294
+ "learning_rate": 0.0001402061855670103,
295
+ "loss": 0.0477,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 3.92,
300
+ "learning_rate": 0.0001388316151202749,
301
+ "loss": 0.0467,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 4.0,
306
+ "learning_rate": 0.00013745704467353953,
307
+ "loss": 0.0525,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 4.08,
312
+ "learning_rate": 0.00013608247422680414,
313
+ "loss": 0.0434,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 4.16,
318
+ "learning_rate": 0.00013470790378006874,
319
+ "loss": 0.0371,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 4.24,
324
+ "learning_rate": 0.00013333333333333334,
325
+ "loss": 0.0393,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 4.32,
330
+ "learning_rate": 0.00013195876288659794,
331
+ "loss": 0.0378,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 4.4,
336
+ "learning_rate": 0.00013058419243986254,
337
+ "loss": 0.0358,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 4.48,
342
+ "learning_rate": 0.00012920962199312717,
343
+ "loss": 0.04,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 4.56,
348
+ "learning_rate": 0.00012783505154639175,
349
+ "loss": 0.0355,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 4.64,
354
+ "learning_rate": 0.00012646048109965635,
355
+ "loss": 0.0424,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 4.72,
360
+ "learning_rate": 0.00012508591065292098,
361
+ "loss": 0.0411,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 4.8,
366
+ "learning_rate": 0.00012371134020618558,
367
+ "loss": 0.0374,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 4.88,
372
+ "learning_rate": 0.00012233676975945018,
373
+ "loss": 0.0402,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 4.96,
378
+ "learning_rate": 0.00012096219931271477,
379
+ "loss": 0.0417,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 5.04,
384
+ "learning_rate": 0.00011958762886597938,
385
+ "loss": 0.0353,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 5.12,
390
+ "learning_rate": 0.000118213058419244,
391
+ "loss": 0.0328,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 5.2,
396
+ "learning_rate": 0.0001168384879725086,
397
+ "loss": 0.0356,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 5.28,
402
+ "learning_rate": 0.00011546391752577319,
403
+ "loss": 0.0354,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 5.36,
408
+ "learning_rate": 0.0001140893470790378,
409
+ "loss": 0.0326,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 5.44,
414
+ "learning_rate": 0.0001127147766323024,
415
+ "loss": 0.0358,
416
+ "step": 680
417
+ },
418
+ {
419
+ "epoch": 5.52,
420
+ "learning_rate": 0.00011134020618556702,
421
+ "loss": 0.0355,
422
+ "step": 690
423
+ },
424
+ {
425
+ "epoch": 5.6,
426
+ "learning_rate": 0.00010996563573883164,
427
+ "loss": 0.0342,
428
+ "step": 700
429
+ },
430
+ {
431
+ "epoch": 5.68,
432
+ "learning_rate": 0.00010859106529209621,
433
+ "loss": 0.0335,
434
+ "step": 710
435
+ },
436
+ {
437
+ "epoch": 5.76,
438
+ "learning_rate": 0.00010721649484536083,
439
+ "loss": 0.0362,
440
+ "step": 720
441
+ },
442
+ {
443
+ "epoch": 5.84,
444
+ "learning_rate": 0.00010584192439862544,
445
+ "loss": 0.0343,
446
+ "step": 730
447
+ },
448
+ {
449
+ "epoch": 5.92,
450
+ "learning_rate": 0.00010446735395189004,
451
+ "loss": 0.0329,
452
+ "step": 740
453
+ },
454
+ {
455
+ "epoch": 6.0,
456
+ "learning_rate": 0.00010309278350515463,
457
+ "loss": 0.0313,
458
+ "step": 750
459
+ },
460
+ {
461
+ "epoch": 6.08,
462
+ "learning_rate": 0.00010171821305841925,
463
+ "loss": 0.028,
464
+ "step": 760
465
+ },
466
+ {
467
+ "epoch": 6.16,
468
+ "learning_rate": 0.00010034364261168385,
469
+ "loss": 0.0317,
470
+ "step": 770
471
+ },
472
+ {
473
+ "epoch": 6.24,
474
+ "learning_rate": 9.896907216494846e-05,
475
+ "loss": 0.029,
476
+ "step": 780
477
+ },
478
+ {
479
+ "epoch": 6.32,
480
+ "learning_rate": 9.759450171821306e-05,
481
+ "loss": 0.0288,
482
+ "step": 790
483
+ },
484
+ {
485
+ "epoch": 6.4,
486
+ "learning_rate": 9.621993127147767e-05,
487
+ "loss": 0.0281,
488
+ "step": 800
489
+ },
490
+ {
491
+ "epoch": 6.48,
492
+ "learning_rate": 9.484536082474227e-05,
493
+ "loss": 0.0309,
494
+ "step": 810
495
+ },
496
+ {
497
+ "epoch": 6.56,
498
+ "learning_rate": 9.347079037800688e-05,
499
+ "loss": 0.0334,
500
+ "step": 820
501
+ },
502
+ {
503
+ "epoch": 6.64,
504
+ "learning_rate": 9.209621993127147e-05,
505
+ "loss": 0.0292,
506
+ "step": 830
507
+ },
508
+ {
509
+ "epoch": 6.72,
510
+ "learning_rate": 9.072164948453609e-05,
511
+ "loss": 0.0331,
512
+ "step": 840
513
+ },
514
+ {
515
+ "epoch": 6.8,
516
+ "learning_rate": 8.93470790378007e-05,
517
+ "loss": 0.0304,
518
+ "step": 850
519
+ },
520
+ {
521
+ "epoch": 6.88,
522
+ "learning_rate": 8.797250859106529e-05,
523
+ "loss": 0.0308,
524
+ "step": 860
525
+ },
526
+ {
527
+ "epoch": 6.96,
528
+ "learning_rate": 8.65979381443299e-05,
529
+ "loss": 0.0318,
530
+ "step": 870
531
+ },
532
+ {
533
+ "epoch": 7.04,
534
+ "learning_rate": 8.52233676975945e-05,
535
+ "loss": 0.0257,
536
+ "step": 880
537
+ },
538
+ {
539
+ "epoch": 7.12,
540
+ "learning_rate": 8.384879725085911e-05,
541
+ "loss": 0.0266,
542
+ "step": 890
543
+ },
544
+ {
545
+ "epoch": 7.2,
546
+ "learning_rate": 8.247422680412371e-05,
547
+ "loss": 0.0251,
548
+ "step": 900
549
+ },
550
+ {
551
+ "epoch": 7.28,
552
+ "learning_rate": 8.109965635738833e-05,
553
+ "loss": 0.0269,
554
+ "step": 910
555
+ },
556
+ {
557
+ "epoch": 7.36,
558
+ "learning_rate": 7.972508591065293e-05,
559
+ "loss": 0.0296,
560
+ "step": 920
561
+ },
562
+ {
563
+ "epoch": 7.44,
564
+ "learning_rate": 7.835051546391753e-05,
565
+ "loss": 0.0285,
566
+ "step": 930
567
+ },
568
+ {
569
+ "epoch": 7.52,
570
+ "learning_rate": 7.697594501718214e-05,
571
+ "loss": 0.0286,
572
+ "step": 940
573
+ },
574
+ {
575
+ "epoch": 7.6,
576
+ "learning_rate": 7.560137457044673e-05,
577
+ "loss": 0.024,
578
+ "step": 950
579
+ },
580
+ {
581
+ "epoch": 7.68,
582
+ "learning_rate": 7.422680412371135e-05,
583
+ "loss": 0.0267,
584
+ "step": 960
585
+ },
586
+ {
587
+ "epoch": 7.76,
588
+ "learning_rate": 7.285223367697595e-05,
589
+ "loss": 0.0296,
590
+ "step": 970
591
+ },
592
+ {
593
+ "epoch": 7.84,
594
+ "learning_rate": 7.147766323024055e-05,
595
+ "loss": 0.0265,
596
+ "step": 980
597
+ },
598
+ {
599
+ "epoch": 7.92,
600
+ "learning_rate": 7.010309278350515e-05,
601
+ "loss": 0.0282,
602
+ "step": 990
603
+ },
604
+ {
605
+ "epoch": 8.0,
606
+ "learning_rate": 6.872852233676977e-05,
607
+ "loss": 0.028,
608
+ "step": 1000
609
+ }
610
+ ],
611
+ "max_steps": 1500,
612
+ "num_train_epochs": 12,
613
+ "total_flos": 4.91514246463488e+17,
614
+ "trial_name": null,
615
+ "trial_params": null
616
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ad160e28912f51f22be68ed1e02d4f0e36de2516ceb1b5fcda3e552ec09de74
3
+ size 3963
vocab.json ADDED
The diff for this file is too large to render. See raw diff