yrvelez commited on
Commit
d805f9b
1 Parent(s): 17dbffa

Upload folder using huggingface_hub (#1)

Browse files

- Upload folder using huggingface_hub (c6b2a4e326aed5b3e490e28a864f750444dcdcaf)

README.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
adapter_config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "huggyllama/llama-30b",
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": 16.0,
10
+ "lora_dropout": 0.05,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 64,
14
+ "revision": null,
15
+ "target_modules": [
16
+ "q_proj",
17
+ "k_proj",
18
+ "o_proj",
19
+ "v_proj",
20
+ "up_proj",
21
+ "down_proj",
22
+ "gate_proj"
23
+ ],
24
+ "task_type": "CAUSAL_LM"
25
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83037aa7ef6caf425d18c7e673b08aa7336c7b616d084cc1d3d52f8bb467e0d3
3
+ size 975479085
adapter_model/README.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
adapter_model/adapter_config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "huggyllama/llama-30b",
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": 16.0,
10
+ "lora_dropout": 0.05,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 64,
14
+ "revision": null,
15
+ "target_modules": [
16
+ "q_proj",
17
+ "k_proj",
18
+ "o_proj",
19
+ "v_proj",
20
+ "up_proj",
21
+ "down_proj",
22
+ "gate_proj"
23
+ ],
24
+ "task_type": "CAUSAL_LM"
25
+ }
adapter_model/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83037aa7ef6caf425d18c7e673b08aa7336c7b616d084cc1d3d52f8bb467e0d3
3
+ size 975479085
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 32000
3
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ff365883a213d3eadc45df7383d831eb2d2273bfd9f4e5eb8e05c8aedf808b08
3
+ size 7309215241
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3a44c495b2c7728d0fa02ec48bfba5285f47dd367b815987a660831e9a0744d
3
+ size 14511
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bdc72845d39b6ad5e7bf41025ddbbc17ee3bb8fe1849997aea90326555db3d7f
3
+ size 627
special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "[PAD]",
5
+ "unk_token": "<unk>"
6
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "model_max_length": 2048,
22
+ "pad_token": null,
23
+ "padding_side": "right",
24
+ "sp_model_kwargs": {},
25
+ "tokenizer_class": "LlamaTokenizer",
26
+ "unk_token": {
27
+ "__type": "AddedToken",
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
trainer_state.json ADDED
@@ -0,0 +1,912 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.3476115990855493,
5
+ "global_step": 1400,
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": 0.0001,
13
+ "loss": 1.8039,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 0.0001,
19
+ "loss": 1.5296,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.03,
24
+ "learning_rate": 0.0001,
25
+ "loss": 1.4058,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.04,
30
+ "learning_rate": 0.0001,
31
+ "loss": 1.7512,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.05,
36
+ "learning_rate": 0.0001,
37
+ "loss": 3.1858,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.06,
42
+ "learning_rate": 0.0001,
43
+ "loss": 1.6959,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.07,
48
+ "learning_rate": 0.0001,
49
+ "loss": 1.3857,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.08,
54
+ "learning_rate": 0.0001,
55
+ "loss": 1.4002,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.09,
60
+ "learning_rate": 0.0001,
61
+ "loss": 1.6352,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.1,
66
+ "learning_rate": 0.0001,
67
+ "loss": 1.2968,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.11,
72
+ "learning_rate": 0.0001,
73
+ "loss": 1.6599,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.12,
78
+ "learning_rate": 0.0001,
79
+ "loss": 1.3366,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.13,
84
+ "learning_rate": 0.0001,
85
+ "loss": 1.328,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.13,
90
+ "learning_rate": 0.0001,
91
+ "loss": 1.4935,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.14,
96
+ "learning_rate": 0.0001,
97
+ "loss": 0.9529,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.15,
102
+ "learning_rate": 0.0001,
103
+ "loss": 1.7595,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.16,
108
+ "learning_rate": 0.0001,
109
+ "loss": 1.2889,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.17,
114
+ "learning_rate": 0.0001,
115
+ "loss": 1.4179,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.18,
120
+ "eval_loss": 1.4205673933029175,
121
+ "eval_runtime": 459.5127,
122
+ "eval_samples_per_second": 2.176,
123
+ "eval_steps_per_second": 2.176,
124
+ "step": 187
125
+ },
126
+ {
127
+ "epoch": 0.18,
128
+ "learning_rate": 0.0001,
129
+ "loss": 1.5063,
130
+ "step": 190
131
+ },
132
+ {
133
+ "epoch": 0.19,
134
+ "learning_rate": 0.0001,
135
+ "loss": 0.8211,
136
+ "step": 200
137
+ },
138
+ {
139
+ "epoch": 0.2,
140
+ "learning_rate": 0.0001,
141
+ "loss": 1.6684,
142
+ "step": 210
143
+ },
144
+ {
145
+ "epoch": 0.21,
146
+ "learning_rate": 0.0001,
147
+ "loss": 1.3234,
148
+ "step": 220
149
+ },
150
+ {
151
+ "epoch": 0.22,
152
+ "learning_rate": 0.0001,
153
+ "loss": 1.266,
154
+ "step": 230
155
+ },
156
+ {
157
+ "epoch": 0.23,
158
+ "learning_rate": 0.0001,
159
+ "loss": 1.6375,
160
+ "step": 240
161
+ },
162
+ {
163
+ "epoch": 0.24,
164
+ "learning_rate": 0.0001,
165
+ "loss": 1.3117,
166
+ "step": 250
167
+ },
168
+ {
169
+ "epoch": 0.25,
170
+ "learning_rate": 0.0001,
171
+ "loss": 1.6006,
172
+ "step": 260
173
+ },
174
+ {
175
+ "epoch": 0.26,
176
+ "learning_rate": 0.0001,
177
+ "loss": 1.1979,
178
+ "step": 270
179
+ },
180
+ {
181
+ "epoch": 0.27,
182
+ "learning_rate": 0.0001,
183
+ "loss": 1.2507,
184
+ "step": 280
185
+ },
186
+ {
187
+ "epoch": 0.28,
188
+ "learning_rate": 0.0001,
189
+ "loss": 1.4834,
190
+ "step": 290
191
+ },
192
+ {
193
+ "epoch": 0.29,
194
+ "learning_rate": 0.0001,
195
+ "loss": 0.9825,
196
+ "step": 300
197
+ },
198
+ {
199
+ "epoch": 0.3,
200
+ "learning_rate": 0.0001,
201
+ "loss": 1.5844,
202
+ "step": 310
203
+ },
204
+ {
205
+ "epoch": 0.31,
206
+ "learning_rate": 0.0001,
207
+ "loss": 1.3353,
208
+ "step": 320
209
+ },
210
+ {
211
+ "epoch": 0.32,
212
+ "learning_rate": 0.0001,
213
+ "loss": 1.4011,
214
+ "step": 330
215
+ },
216
+ {
217
+ "epoch": 0.33,
218
+ "learning_rate": 0.0001,
219
+ "loss": 1.5332,
220
+ "step": 340
221
+ },
222
+ {
223
+ "epoch": 0.34,
224
+ "learning_rate": 0.0001,
225
+ "loss": 0.9384,
226
+ "step": 350
227
+ },
228
+ {
229
+ "epoch": 0.35,
230
+ "learning_rate": 0.0001,
231
+ "loss": 1.7105,
232
+ "step": 360
233
+ },
234
+ {
235
+ "epoch": 0.36,
236
+ "learning_rate": 0.0001,
237
+ "loss": 1.3547,
238
+ "step": 370
239
+ },
240
+ {
241
+ "epoch": 0.36,
242
+ "eval_loss": 1.3805837631225586,
243
+ "eval_runtime": 459.6147,
244
+ "eval_samples_per_second": 2.176,
245
+ "eval_steps_per_second": 2.176,
246
+ "step": 374
247
+ },
248
+ {
249
+ "epoch": 0.37,
250
+ "learning_rate": 0.0001,
251
+ "loss": 1.3614,
252
+ "step": 380
253
+ },
254
+ {
255
+ "epoch": 0.38,
256
+ "learning_rate": 0.0001,
257
+ "loss": 1.4958,
258
+ "step": 390
259
+ },
260
+ {
261
+ "epoch": 0.39,
262
+ "learning_rate": 0.0001,
263
+ "loss": 0.8492,
264
+ "step": 400
265
+ },
266
+ {
267
+ "epoch": 0.39,
268
+ "learning_rate": 0.0001,
269
+ "loss": 1.63,
270
+ "step": 410
271
+ },
272
+ {
273
+ "epoch": 0.4,
274
+ "learning_rate": 0.0001,
275
+ "loss": 1.2732,
276
+ "step": 420
277
+ },
278
+ {
279
+ "epoch": 0.41,
280
+ "learning_rate": 0.0001,
281
+ "loss": 1.2632,
282
+ "step": 430
283
+ },
284
+ {
285
+ "epoch": 0.42,
286
+ "learning_rate": 0.0001,
287
+ "loss": 1.5877,
288
+ "step": 440
289
+ },
290
+ {
291
+ "epoch": 0.43,
292
+ "learning_rate": 0.0001,
293
+ "loss": 1.2191,
294
+ "step": 450
295
+ },
296
+ {
297
+ "epoch": 0.44,
298
+ "learning_rate": 0.0001,
299
+ "loss": 1.7254,
300
+ "step": 460
301
+ },
302
+ {
303
+ "epoch": 0.45,
304
+ "learning_rate": 0.0001,
305
+ "loss": 1.2964,
306
+ "step": 470
307
+ },
308
+ {
309
+ "epoch": 0.46,
310
+ "learning_rate": 0.0001,
311
+ "loss": 1.2615,
312
+ "step": 480
313
+ },
314
+ {
315
+ "epoch": 0.47,
316
+ "learning_rate": 0.0001,
317
+ "loss": 1.5623,
318
+ "step": 490
319
+ },
320
+ {
321
+ "epoch": 0.48,
322
+ "learning_rate": 0.0001,
323
+ "loss": 0.9829,
324
+ "step": 500
325
+ },
326
+ {
327
+ "epoch": 0.49,
328
+ "learning_rate": 0.0001,
329
+ "loss": 1.7679,
330
+ "step": 510
331
+ },
332
+ {
333
+ "epoch": 0.5,
334
+ "learning_rate": 0.0001,
335
+ "loss": 1.2568,
336
+ "step": 520
337
+ },
338
+ {
339
+ "epoch": 0.51,
340
+ "learning_rate": 0.0001,
341
+ "loss": 1.3312,
342
+ "step": 530
343
+ },
344
+ {
345
+ "epoch": 0.52,
346
+ "learning_rate": 0.0001,
347
+ "loss": 1.4983,
348
+ "step": 540
349
+ },
350
+ {
351
+ "epoch": 0.53,
352
+ "learning_rate": 0.0001,
353
+ "loss": 0.8519,
354
+ "step": 550
355
+ },
356
+ {
357
+ "epoch": 0.54,
358
+ "learning_rate": 0.0001,
359
+ "loss": 1.6,
360
+ "step": 560
361
+ },
362
+ {
363
+ "epoch": 0.54,
364
+ "eval_loss": 1.3750680685043335,
365
+ "eval_runtime": 459.6344,
366
+ "eval_samples_per_second": 2.176,
367
+ "eval_steps_per_second": 2.176,
368
+ "step": 561
369
+ },
370
+ {
371
+ "epoch": 0.55,
372
+ "learning_rate": 0.0001,
373
+ "loss": 1.1999,
374
+ "step": 570
375
+ },
376
+ {
377
+ "epoch": 0.56,
378
+ "learning_rate": 0.0001,
379
+ "loss": 1.2681,
380
+ "step": 580
381
+ },
382
+ {
383
+ "epoch": 0.57,
384
+ "learning_rate": 0.0001,
385
+ "loss": 1.5114,
386
+ "step": 590
387
+ },
388
+ {
389
+ "epoch": 0.58,
390
+ "learning_rate": 0.0001,
391
+ "loss": 0.9807,
392
+ "step": 600
393
+ },
394
+ {
395
+ "epoch": 0.59,
396
+ "learning_rate": 0.0001,
397
+ "loss": 1.6088,
398
+ "step": 610
399
+ },
400
+ {
401
+ "epoch": 0.6,
402
+ "learning_rate": 0.0001,
403
+ "loss": 1.3286,
404
+ "step": 620
405
+ },
406
+ {
407
+ "epoch": 0.61,
408
+ "learning_rate": 0.0001,
409
+ "loss": 1.2899,
410
+ "step": 630
411
+ },
412
+ {
413
+ "epoch": 0.62,
414
+ "learning_rate": 0.0001,
415
+ "loss": 1.4971,
416
+ "step": 640
417
+ },
418
+ {
419
+ "epoch": 0.63,
420
+ "learning_rate": 0.0001,
421
+ "loss": 1.0092,
422
+ "step": 650
423
+ },
424
+ {
425
+ "epoch": 0.64,
426
+ "learning_rate": 0.0001,
427
+ "loss": 1.7029,
428
+ "step": 660
429
+ },
430
+ {
431
+ "epoch": 0.64,
432
+ "learning_rate": 0.0001,
433
+ "loss": 1.2639,
434
+ "step": 670
435
+ },
436
+ {
437
+ "epoch": 0.65,
438
+ "learning_rate": 0.0001,
439
+ "loss": 1.2426,
440
+ "step": 680
441
+ },
442
+ {
443
+ "epoch": 0.66,
444
+ "learning_rate": 0.0001,
445
+ "loss": 1.4332,
446
+ "step": 690
447
+ },
448
+ {
449
+ "epoch": 0.67,
450
+ "learning_rate": 0.0001,
451
+ "loss": 1.0605,
452
+ "step": 700
453
+ },
454
+ {
455
+ "epoch": 0.68,
456
+ "learning_rate": 0.0001,
457
+ "loss": 1.647,
458
+ "step": 710
459
+ },
460
+ {
461
+ "epoch": 0.69,
462
+ "learning_rate": 0.0001,
463
+ "loss": 1.2945,
464
+ "step": 720
465
+ },
466
+ {
467
+ "epoch": 0.7,
468
+ "learning_rate": 0.0001,
469
+ "loss": 1.2847,
470
+ "step": 730
471
+ },
472
+ {
473
+ "epoch": 0.71,
474
+ "learning_rate": 0.0001,
475
+ "loss": 1.445,
476
+ "step": 740
477
+ },
478
+ {
479
+ "epoch": 0.72,
480
+ "eval_loss": 1.3464467525482178,
481
+ "eval_runtime": 459.8714,
482
+ "eval_samples_per_second": 2.175,
483
+ "eval_steps_per_second": 2.175,
484
+ "step": 748
485
+ },
486
+ {
487
+ "epoch": 0.72,
488
+ "learning_rate": 0.0001,
489
+ "loss": 0.8241,
490
+ "step": 750
491
+ },
492
+ {
493
+ "epoch": 0.73,
494
+ "learning_rate": 0.0001,
495
+ "loss": 1.5372,
496
+ "step": 760
497
+ },
498
+ {
499
+ "epoch": 0.74,
500
+ "learning_rate": 0.0001,
501
+ "loss": 1.2967,
502
+ "step": 770
503
+ },
504
+ {
505
+ "epoch": 0.75,
506
+ "learning_rate": 0.0001,
507
+ "loss": 1.3492,
508
+ "step": 780
509
+ },
510
+ {
511
+ "epoch": 0.76,
512
+ "learning_rate": 0.0001,
513
+ "loss": 1.4763,
514
+ "step": 790
515
+ },
516
+ {
517
+ "epoch": 0.77,
518
+ "learning_rate": 0.0001,
519
+ "loss": 0.8793,
520
+ "step": 800
521
+ },
522
+ {
523
+ "epoch": 0.78,
524
+ "learning_rate": 0.0001,
525
+ "loss": 1.7086,
526
+ "step": 810
527
+ },
528
+ {
529
+ "epoch": 0.79,
530
+ "learning_rate": 0.0001,
531
+ "loss": 1.2769,
532
+ "step": 820
533
+ },
534
+ {
535
+ "epoch": 0.8,
536
+ "learning_rate": 0.0001,
537
+ "loss": 1.2934,
538
+ "step": 830
539
+ },
540
+ {
541
+ "epoch": 0.81,
542
+ "learning_rate": 0.0001,
543
+ "loss": 1.5392,
544
+ "step": 840
545
+ },
546
+ {
547
+ "epoch": 0.82,
548
+ "learning_rate": 0.0001,
549
+ "loss": 1.0612,
550
+ "step": 850
551
+ },
552
+ {
553
+ "epoch": 0.83,
554
+ "learning_rate": 0.0001,
555
+ "loss": 1.5972,
556
+ "step": 860
557
+ },
558
+ {
559
+ "epoch": 0.84,
560
+ "learning_rate": 0.0001,
561
+ "loss": 1.2147,
562
+ "step": 870
563
+ },
564
+ {
565
+ "epoch": 0.85,
566
+ "learning_rate": 0.0001,
567
+ "loss": 1.3145,
568
+ "step": 880
569
+ },
570
+ {
571
+ "epoch": 0.86,
572
+ "learning_rate": 0.0001,
573
+ "loss": 1.497,
574
+ "step": 890
575
+ },
576
+ {
577
+ "epoch": 0.87,
578
+ "learning_rate": 0.0001,
579
+ "loss": 0.9062,
580
+ "step": 900
581
+ },
582
+ {
583
+ "epoch": 0.88,
584
+ "learning_rate": 0.0001,
585
+ "loss": 1.6361,
586
+ "step": 910
587
+ },
588
+ {
589
+ "epoch": 0.89,
590
+ "learning_rate": 0.0001,
591
+ "loss": 1.2367,
592
+ "step": 920
593
+ },
594
+ {
595
+ "epoch": 0.9,
596
+ "learning_rate": 0.0001,
597
+ "loss": 1.2854,
598
+ "step": 930
599
+ },
600
+ {
601
+ "epoch": 0.9,
602
+ "eval_loss": 1.357669711112976,
603
+ "eval_runtime": 459.873,
604
+ "eval_samples_per_second": 2.175,
605
+ "eval_steps_per_second": 2.175,
606
+ "step": 935
607
+ },
608
+ {
609
+ "epoch": 0.9,
610
+ "learning_rate": 0.0001,
611
+ "loss": 1.5667,
612
+ "step": 940
613
+ },
614
+ {
615
+ "epoch": 0.91,
616
+ "learning_rate": 0.0001,
617
+ "loss": 0.9746,
618
+ "step": 950
619
+ },
620
+ {
621
+ "epoch": 0.92,
622
+ "learning_rate": 0.0001,
623
+ "loss": 1.6803,
624
+ "step": 960
625
+ },
626
+ {
627
+ "epoch": 0.93,
628
+ "learning_rate": 0.0001,
629
+ "loss": 1.2543,
630
+ "step": 970
631
+ },
632
+ {
633
+ "epoch": 0.94,
634
+ "learning_rate": 0.0001,
635
+ "loss": 1.2687,
636
+ "step": 980
637
+ },
638
+ {
639
+ "epoch": 0.95,
640
+ "learning_rate": 0.0001,
641
+ "loss": 1.4981,
642
+ "step": 990
643
+ },
644
+ {
645
+ "epoch": 0.96,
646
+ "learning_rate": 0.0001,
647
+ "loss": 0.8578,
648
+ "step": 1000
649
+ },
650
+ {
651
+ "epoch": 0.97,
652
+ "learning_rate": 0.0001,
653
+ "loss": 1.5761,
654
+ "step": 1010
655
+ },
656
+ {
657
+ "epoch": 0.98,
658
+ "learning_rate": 0.0001,
659
+ "loss": 1.2506,
660
+ "step": 1020
661
+ },
662
+ {
663
+ "epoch": 0.99,
664
+ "learning_rate": 0.0001,
665
+ "loss": 1.4618,
666
+ "step": 1030
667
+ },
668
+ {
669
+ "epoch": 1.0,
670
+ "learning_rate": 0.0001,
671
+ "loss": 1.0891,
672
+ "step": 1040
673
+ },
674
+ {
675
+ "epoch": 1.01,
676
+ "learning_rate": 0.0001,
677
+ "loss": 1.3781,
678
+ "step": 1050
679
+ },
680
+ {
681
+ "epoch": 1.02,
682
+ "learning_rate": 0.0001,
683
+ "loss": 0.9435,
684
+ "step": 1060
685
+ },
686
+ {
687
+ "epoch": 1.03,
688
+ "learning_rate": 0.0001,
689
+ "loss": 1.1106,
690
+ "step": 1070
691
+ },
692
+ {
693
+ "epoch": 1.04,
694
+ "learning_rate": 0.0001,
695
+ "loss": 1.034,
696
+ "step": 1080
697
+ },
698
+ {
699
+ "epoch": 1.05,
700
+ "learning_rate": 0.0001,
701
+ "loss": 0.7563,
702
+ "step": 1090
703
+ },
704
+ {
705
+ "epoch": 1.06,
706
+ "learning_rate": 0.0001,
707
+ "loss": 1.3576,
708
+ "step": 1100
709
+ },
710
+ {
711
+ "epoch": 1.07,
712
+ "learning_rate": 0.0001,
713
+ "loss": 0.9077,
714
+ "step": 1110
715
+ },
716
+ {
717
+ "epoch": 1.08,
718
+ "learning_rate": 0.0001,
719
+ "loss": 0.9946,
720
+ "step": 1120
721
+ },
722
+ {
723
+ "epoch": 1.08,
724
+ "eval_loss": 1.448190450668335,
725
+ "eval_runtime": 459.9335,
726
+ "eval_samples_per_second": 2.174,
727
+ "eval_steps_per_second": 2.174,
728
+ "step": 1122
729
+ },
730
+ {
731
+ "epoch": 1.09,
732
+ "learning_rate": 0.0001,
733
+ "loss": 1.0803,
734
+ "step": 1130
735
+ },
736
+ {
737
+ "epoch": 1.1,
738
+ "learning_rate": 0.0001,
739
+ "loss": 0.9244,
740
+ "step": 1140
741
+ },
742
+ {
743
+ "epoch": 1.11,
744
+ "learning_rate": 0.0001,
745
+ "loss": 1.3301,
746
+ "step": 1150
747
+ },
748
+ {
749
+ "epoch": 1.12,
750
+ "learning_rate": 0.0001,
751
+ "loss": 0.994,
752
+ "step": 1160
753
+ },
754
+ {
755
+ "epoch": 1.13,
756
+ "learning_rate": 0.0001,
757
+ "loss": 0.9597,
758
+ "step": 1170
759
+ },
760
+ {
761
+ "epoch": 1.14,
762
+ "learning_rate": 0.0001,
763
+ "loss": 1.077,
764
+ "step": 1180
765
+ },
766
+ {
767
+ "epoch": 1.15,
768
+ "learning_rate": 0.0001,
769
+ "loss": 0.8099,
770
+ "step": 1190
771
+ },
772
+ {
773
+ "epoch": 1.16,
774
+ "learning_rate": 0.0001,
775
+ "loss": 1.3388,
776
+ "step": 1200
777
+ },
778
+ {
779
+ "epoch": 1.16,
780
+ "learning_rate": 0.0001,
781
+ "loss": 0.9822,
782
+ "step": 1210
783
+ },
784
+ {
785
+ "epoch": 1.17,
786
+ "learning_rate": 0.0001,
787
+ "loss": 0.9254,
788
+ "step": 1220
789
+ },
790
+ {
791
+ "epoch": 1.18,
792
+ "learning_rate": 0.0001,
793
+ "loss": 1.0194,
794
+ "step": 1230
795
+ },
796
+ {
797
+ "epoch": 1.19,
798
+ "learning_rate": 0.0001,
799
+ "loss": 0.8094,
800
+ "step": 1240
801
+ },
802
+ {
803
+ "epoch": 1.2,
804
+ "learning_rate": 0.0001,
805
+ "loss": 1.2964,
806
+ "step": 1250
807
+ },
808
+ {
809
+ "epoch": 1.21,
810
+ "learning_rate": 0.0001,
811
+ "loss": 0.9678,
812
+ "step": 1260
813
+ },
814
+ {
815
+ "epoch": 1.22,
816
+ "learning_rate": 0.0001,
817
+ "loss": 0.9391,
818
+ "step": 1270
819
+ },
820
+ {
821
+ "epoch": 1.23,
822
+ "learning_rate": 0.0001,
823
+ "loss": 0.9972,
824
+ "step": 1280
825
+ },
826
+ {
827
+ "epoch": 1.24,
828
+ "learning_rate": 0.0001,
829
+ "loss": 0.7331,
830
+ "step": 1290
831
+ },
832
+ {
833
+ "epoch": 1.25,
834
+ "learning_rate": 0.0001,
835
+ "loss": 1.3809,
836
+ "step": 1300
837
+ },
838
+ {
839
+ "epoch": 1.26,
840
+ "eval_loss": 1.4262446165084839,
841
+ "eval_runtime": 460.0379,
842
+ "eval_samples_per_second": 2.174,
843
+ "eval_steps_per_second": 2.174,
844
+ "step": 1309
845
+ },
846
+ {
847
+ "epoch": 1.26,
848
+ "learning_rate": 0.0001,
849
+ "loss": 1.0378,
850
+ "step": 1310
851
+ },
852
+ {
853
+ "epoch": 1.27,
854
+ "learning_rate": 0.0001,
855
+ "loss": 0.8997,
856
+ "step": 1320
857
+ },
858
+ {
859
+ "epoch": 1.28,
860
+ "learning_rate": 0.0001,
861
+ "loss": 1.1066,
862
+ "step": 1330
863
+ },
864
+ {
865
+ "epoch": 1.29,
866
+ "learning_rate": 0.0001,
867
+ "loss": 0.9112,
868
+ "step": 1340
869
+ },
870
+ {
871
+ "epoch": 1.3,
872
+ "learning_rate": 0.0001,
873
+ "loss": 1.2313,
874
+ "step": 1350
875
+ },
876
+ {
877
+ "epoch": 1.31,
878
+ "learning_rate": 0.0001,
879
+ "loss": 0.9425,
880
+ "step": 1360
881
+ },
882
+ {
883
+ "epoch": 1.32,
884
+ "learning_rate": 0.0001,
885
+ "loss": 1.0515,
886
+ "step": 1370
887
+ },
888
+ {
889
+ "epoch": 1.33,
890
+ "learning_rate": 0.0001,
891
+ "loss": 1.0183,
892
+ "step": 1380
893
+ },
894
+ {
895
+ "epoch": 1.34,
896
+ "learning_rate": 0.0001,
897
+ "loss": 0.7825,
898
+ "step": 1390
899
+ },
900
+ {
901
+ "epoch": 1.35,
902
+ "learning_rate": 0.0001,
903
+ "loss": 1.3411,
904
+ "step": 1400
905
+ }
906
+ ],
907
+ "max_steps": 1875,
908
+ "num_train_epochs": 2,
909
+ "total_flos": 6.253115028990198e+17,
910
+ "trial_name": null,
911
+ "trial_params": null
912
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdbd07621495d238cddbd08ad9035005525dc0d2212bdda59b508cdece96c776
3
+ size 5691