herbievore commited on
Commit
28a3ea7
1 Parent(s): 8c99622

Upload 8 files

Browse files
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: True
9
+ - load_in_4bit: False
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: fp4
15
+ - bnb_4bit_use_double_quant: False
16
+ - bnb_4bit_compute_dtype: float32
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.5.0.dev0
adapter_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "/mnt/data/nlp/models/_LLMs/llama-2-7b-hf",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16,
11
+ "lora_dropout": 0.05,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 4,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "v_proj"
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:ceb3912b5c8923911e3b3147aa5dd6c33cfc118104c0a7a0f64b3e961cbe9258
3
+ size 8434381
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7181bf82b602631a005c15e8e8479928a4159b56ebbbe29f26d82a5122500808
3
+ size 16852677
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:64014a4a7fe7cfac590e66f64e6d91b14f9226a0aaaedce807834349581f32e4
3
+ size 14575
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d52d9b7c8dcd04cbece60db845aa07f35d12cc6d81db207e71e2952c33ac9b8
3
+ size 627
trainer_state.json ADDED
@@ -0,0 +1,1216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.5599888002239956,
5
+ "global_step": 2000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 9.985998319798377e-05,
13
+ "loss": 1.9301,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 9.971996639596752e-05,
19
+ "loss": 1.8805,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.01,
24
+ "learning_rate": 9.957994959395129e-05,
25
+ "loss": 1.8763,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 9.943993279193504e-05,
31
+ "loss": 1.8726,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 9.929991598991879e-05,
37
+ "loss": 1.833,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.02,
42
+ "learning_rate": 9.915989918790255e-05,
43
+ "loss": 1.8522,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.02,
48
+ "learning_rate": 9.90198823858863e-05,
49
+ "loss": 1.8277,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.02,
54
+ "learning_rate": 9.887986558387007e-05,
55
+ "loss": 1.8209,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.03,
60
+ "learning_rate": 9.873984878185383e-05,
61
+ "loss": 1.8471,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.03,
66
+ "learning_rate": 9.859983197983759e-05,
67
+ "loss": 1.8477,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.03,
72
+ "learning_rate": 9.845981517782135e-05,
73
+ "loss": 1.8327,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.03,
78
+ "learning_rate": 9.83197983758051e-05,
79
+ "loss": 1.8386,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.04,
84
+ "learning_rate": 9.817978157378887e-05,
85
+ "loss": 1.8212,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.04,
90
+ "learning_rate": 9.803976477177262e-05,
91
+ "loss": 1.8405,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.04,
96
+ "learning_rate": 9.789974796975637e-05,
97
+ "loss": 1.8402,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.04,
102
+ "learning_rate": 9.775973116774013e-05,
103
+ "loss": 1.8235,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.05,
108
+ "learning_rate": 9.761971436572388e-05,
109
+ "loss": 1.8265,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.05,
114
+ "learning_rate": 9.747969756370765e-05,
115
+ "loss": 1.8245,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.05,
120
+ "learning_rate": 9.733968076169141e-05,
121
+ "loss": 1.8216,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.06,
126
+ "learning_rate": 9.719966395967517e-05,
127
+ "loss": 1.8325,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.06,
132
+ "learning_rate": 9.705964715765893e-05,
133
+ "loss": 1.8024,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.06,
138
+ "learning_rate": 9.691963035564268e-05,
139
+ "loss": 1.8275,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.06,
144
+ "learning_rate": 9.677961355362643e-05,
145
+ "loss": 1.83,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.07,
150
+ "learning_rate": 9.66395967516102e-05,
151
+ "loss": 1.848,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.07,
156
+ "learning_rate": 9.649957994959395e-05,
157
+ "loss": 1.8137,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.07,
162
+ "learning_rate": 9.635956314757771e-05,
163
+ "loss": 1.8112,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.08,
168
+ "learning_rate": 9.621954634556148e-05,
169
+ "loss": 1.8196,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.08,
174
+ "learning_rate": 9.607952954354523e-05,
175
+ "loss": 1.8207,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.08,
180
+ "learning_rate": 9.5939512741529e-05,
181
+ "loss": 1.8119,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.08,
186
+ "learning_rate": 9.579949593951275e-05,
187
+ "loss": 1.8277,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.09,
192
+ "learning_rate": 9.56594791374965e-05,
193
+ "loss": 1.8077,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.09,
198
+ "learning_rate": 9.551946233548026e-05,
199
+ "loss": 1.8254,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.09,
204
+ "learning_rate": 9.537944553346401e-05,
205
+ "loss": 1.8276,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.1,
210
+ "learning_rate": 9.523942873144778e-05,
211
+ "loss": 1.8396,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.1,
216
+ "learning_rate": 9.509941192943154e-05,
217
+ "loss": 1.802,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.1,
222
+ "learning_rate": 9.49593951274153e-05,
223
+ "loss": 1.8177,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.1,
228
+ "learning_rate": 9.481937832539906e-05,
229
+ "loss": 1.8064,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.11,
234
+ "learning_rate": 9.467936152338281e-05,
235
+ "loss": 1.8059,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.11,
240
+ "learning_rate": 9.453934472136658e-05,
241
+ "loss": 1.8051,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.11,
246
+ "learning_rate": 9.439932791935033e-05,
247
+ "loss": 1.8205,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.11,
252
+ "learning_rate": 9.425931111733408e-05,
253
+ "loss": 1.804,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.12,
258
+ "learning_rate": 9.411929431531784e-05,
259
+ "loss": 1.8193,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.12,
264
+ "learning_rate": 9.39792775133016e-05,
265
+ "loss": 1.8263,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.12,
270
+ "learning_rate": 9.383926071128536e-05,
271
+ "loss": 1.7961,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.13,
276
+ "learning_rate": 9.369924390926912e-05,
277
+ "loss": 1.8249,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.13,
282
+ "learning_rate": 9.355922710725287e-05,
283
+ "loss": 1.8102,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 0.13,
288
+ "learning_rate": 9.341921030523664e-05,
289
+ "loss": 1.8218,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 0.13,
294
+ "learning_rate": 9.327919350322039e-05,
295
+ "loss": 1.7999,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 0.14,
300
+ "learning_rate": 9.313917670120414e-05,
301
+ "loss": 1.8061,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 0.14,
306
+ "learning_rate": 9.29991598991879e-05,
307
+ "loss": 1.8169,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 0.14,
312
+ "learning_rate": 9.285914309717166e-05,
313
+ "loss": 1.8517,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 0.15,
318
+ "learning_rate": 9.271912629515542e-05,
319
+ "loss": 1.8219,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 0.15,
324
+ "learning_rate": 9.257910949313919e-05,
325
+ "loss": 1.8291,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 0.15,
330
+ "learning_rate": 9.243909269112294e-05,
331
+ "loss": 1.8334,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 0.15,
336
+ "learning_rate": 9.22990758891067e-05,
337
+ "loss": 1.8245,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 0.16,
342
+ "learning_rate": 9.215905908709045e-05,
343
+ "loss": 1.8263,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 0.16,
348
+ "learning_rate": 9.20190422850742e-05,
349
+ "loss": 1.7942,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 0.16,
354
+ "learning_rate": 9.187902548305797e-05,
355
+ "loss": 1.8024,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 0.17,
360
+ "learning_rate": 9.173900868104172e-05,
361
+ "loss": 1.8355,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 0.17,
366
+ "learning_rate": 9.159899187902549e-05,
367
+ "loss": 1.8203,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 0.17,
372
+ "learning_rate": 9.145897507700925e-05,
373
+ "loss": 1.8212,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 0.17,
378
+ "learning_rate": 9.1318958274993e-05,
379
+ "loss": 1.7932,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 0.18,
384
+ "learning_rate": 9.117894147297677e-05,
385
+ "loss": 1.809,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 0.18,
390
+ "learning_rate": 9.103892467096052e-05,
391
+ "loss": 1.8315,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 0.18,
396
+ "learning_rate": 9.089890786894428e-05,
397
+ "loss": 1.8084,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 0.18,
402
+ "learning_rate": 9.075889106692804e-05,
403
+ "loss": 1.8332,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 0.19,
408
+ "learning_rate": 9.061887426491179e-05,
409
+ "loss": 1.8034,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 0.19,
414
+ "learning_rate": 9.047885746289555e-05,
415
+ "loss": 1.8028,
416
+ "step": 680
417
+ },
418
+ {
419
+ "epoch": 0.19,
420
+ "learning_rate": 9.03388406608793e-05,
421
+ "loss": 1.806,
422
+ "step": 690
423
+ },
424
+ {
425
+ "epoch": 0.2,
426
+ "learning_rate": 9.019882385886307e-05,
427
+ "loss": 1.7862,
428
+ "step": 700
429
+ },
430
+ {
431
+ "epoch": 0.2,
432
+ "learning_rate": 9.005880705684683e-05,
433
+ "loss": 1.8068,
434
+ "step": 710
435
+ },
436
+ {
437
+ "epoch": 0.2,
438
+ "learning_rate": 8.991879025483058e-05,
439
+ "loss": 1.8025,
440
+ "step": 720
441
+ },
442
+ {
443
+ "epoch": 0.2,
444
+ "learning_rate": 8.977877345281435e-05,
445
+ "loss": 1.8468,
446
+ "step": 730
447
+ },
448
+ {
449
+ "epoch": 0.21,
450
+ "learning_rate": 8.96387566507981e-05,
451
+ "loss": 1.7847,
452
+ "step": 740
453
+ },
454
+ {
455
+ "epoch": 0.21,
456
+ "learning_rate": 8.949873984878185e-05,
457
+ "loss": 1.7988,
458
+ "step": 750
459
+ },
460
+ {
461
+ "epoch": 0.21,
462
+ "learning_rate": 8.935872304676562e-05,
463
+ "loss": 1.835,
464
+ "step": 760
465
+ },
466
+ {
467
+ "epoch": 0.22,
468
+ "learning_rate": 8.921870624474937e-05,
469
+ "loss": 1.8026,
470
+ "step": 770
471
+ },
472
+ {
473
+ "epoch": 0.22,
474
+ "learning_rate": 8.907868944273313e-05,
475
+ "loss": 1.8238,
476
+ "step": 780
477
+ },
478
+ {
479
+ "epoch": 0.22,
480
+ "learning_rate": 8.89386726407169e-05,
481
+ "loss": 1.8125,
482
+ "step": 790
483
+ },
484
+ {
485
+ "epoch": 0.22,
486
+ "learning_rate": 8.879865583870065e-05,
487
+ "loss": 1.8421,
488
+ "step": 800
489
+ },
490
+ {
491
+ "epoch": 0.23,
492
+ "learning_rate": 8.865863903668441e-05,
493
+ "loss": 1.8194,
494
+ "step": 810
495
+ },
496
+ {
497
+ "epoch": 0.23,
498
+ "learning_rate": 8.851862223466816e-05,
499
+ "loss": 1.8034,
500
+ "step": 820
501
+ },
502
+ {
503
+ "epoch": 0.23,
504
+ "learning_rate": 8.837860543265192e-05,
505
+ "loss": 1.8106,
506
+ "step": 830
507
+ },
508
+ {
509
+ "epoch": 0.24,
510
+ "learning_rate": 8.823858863063568e-05,
511
+ "loss": 1.8022,
512
+ "step": 840
513
+ },
514
+ {
515
+ "epoch": 0.24,
516
+ "learning_rate": 8.809857182861943e-05,
517
+ "loss": 1.8103,
518
+ "step": 850
519
+ },
520
+ {
521
+ "epoch": 0.24,
522
+ "learning_rate": 8.79585550266032e-05,
523
+ "loss": 1.8371,
524
+ "step": 860
525
+ },
526
+ {
527
+ "epoch": 0.24,
528
+ "learning_rate": 8.781853822458696e-05,
529
+ "loss": 1.826,
530
+ "step": 870
531
+ },
532
+ {
533
+ "epoch": 0.25,
534
+ "learning_rate": 8.767852142257071e-05,
535
+ "loss": 1.8255,
536
+ "step": 880
537
+ },
538
+ {
539
+ "epoch": 0.25,
540
+ "learning_rate": 8.753850462055448e-05,
541
+ "loss": 1.8254,
542
+ "step": 890
543
+ },
544
+ {
545
+ "epoch": 0.25,
546
+ "learning_rate": 8.739848781853823e-05,
547
+ "loss": 1.813,
548
+ "step": 900
549
+ },
550
+ {
551
+ "epoch": 0.25,
552
+ "learning_rate": 8.725847101652199e-05,
553
+ "loss": 1.8175,
554
+ "step": 910
555
+ },
556
+ {
557
+ "epoch": 0.26,
558
+ "learning_rate": 8.711845421450574e-05,
559
+ "loss": 1.8055,
560
+ "step": 920
561
+ },
562
+ {
563
+ "epoch": 0.26,
564
+ "learning_rate": 8.69784374124895e-05,
565
+ "loss": 1.8174,
566
+ "step": 930
567
+ },
568
+ {
569
+ "epoch": 0.26,
570
+ "learning_rate": 8.683842061047326e-05,
571
+ "loss": 1.7836,
572
+ "step": 940
573
+ },
574
+ {
575
+ "epoch": 0.27,
576
+ "learning_rate": 8.669840380845701e-05,
577
+ "loss": 1.8147,
578
+ "step": 950
579
+ },
580
+ {
581
+ "epoch": 0.27,
582
+ "learning_rate": 8.655838700644078e-05,
583
+ "loss": 1.8026,
584
+ "step": 960
585
+ },
586
+ {
587
+ "epoch": 0.27,
588
+ "learning_rate": 8.641837020442454e-05,
589
+ "loss": 1.8242,
590
+ "step": 970
591
+ },
592
+ {
593
+ "epoch": 0.27,
594
+ "learning_rate": 8.627835340240829e-05,
595
+ "loss": 1.8233,
596
+ "step": 980
597
+ },
598
+ {
599
+ "epoch": 0.28,
600
+ "learning_rate": 8.613833660039206e-05,
601
+ "loss": 1.8135,
602
+ "step": 990
603
+ },
604
+ {
605
+ "epoch": 0.28,
606
+ "learning_rate": 8.599831979837581e-05,
607
+ "loss": 1.814,
608
+ "step": 1000
609
+ },
610
+ {
611
+ "epoch": 0.28,
612
+ "learning_rate": 8.585830299635956e-05,
613
+ "loss": 1.8078,
614
+ "step": 1010
615
+ },
616
+ {
617
+ "epoch": 0.29,
618
+ "learning_rate": 8.571828619434332e-05,
619
+ "loss": 1.8456,
620
+ "step": 1020
621
+ },
622
+ {
623
+ "epoch": 0.29,
624
+ "learning_rate": 8.557826939232708e-05,
625
+ "loss": 1.7942,
626
+ "step": 1030
627
+ },
628
+ {
629
+ "epoch": 0.29,
630
+ "learning_rate": 8.543825259031084e-05,
631
+ "loss": 1.7971,
632
+ "step": 1040
633
+ },
634
+ {
635
+ "epoch": 0.29,
636
+ "learning_rate": 8.52982357882946e-05,
637
+ "loss": 1.8072,
638
+ "step": 1050
639
+ },
640
+ {
641
+ "epoch": 0.3,
642
+ "learning_rate": 8.515821898627836e-05,
643
+ "loss": 1.8096,
644
+ "step": 1060
645
+ },
646
+ {
647
+ "epoch": 0.3,
648
+ "learning_rate": 8.501820218426212e-05,
649
+ "loss": 1.83,
650
+ "step": 1070
651
+ },
652
+ {
653
+ "epoch": 0.3,
654
+ "learning_rate": 8.487818538224587e-05,
655
+ "loss": 1.8107,
656
+ "step": 1080
657
+ },
658
+ {
659
+ "epoch": 0.31,
660
+ "learning_rate": 8.473816858022962e-05,
661
+ "loss": 1.805,
662
+ "step": 1090
663
+ },
664
+ {
665
+ "epoch": 0.31,
666
+ "learning_rate": 8.459815177821339e-05,
667
+ "loss": 1.8201,
668
+ "step": 1100
669
+ },
670
+ {
671
+ "epoch": 0.31,
672
+ "learning_rate": 8.445813497619714e-05,
673
+ "loss": 1.8202,
674
+ "step": 1110
675
+ },
676
+ {
677
+ "epoch": 0.31,
678
+ "learning_rate": 8.43181181741809e-05,
679
+ "loss": 1.8011,
680
+ "step": 1120
681
+ },
682
+ {
683
+ "epoch": 0.32,
684
+ "learning_rate": 8.417810137216467e-05,
685
+ "loss": 1.795,
686
+ "step": 1130
687
+ },
688
+ {
689
+ "epoch": 0.32,
690
+ "learning_rate": 8.403808457014842e-05,
691
+ "loss": 1.8051,
692
+ "step": 1140
693
+ },
694
+ {
695
+ "epoch": 0.32,
696
+ "learning_rate": 8.389806776813219e-05,
697
+ "loss": 1.8127,
698
+ "step": 1150
699
+ },
700
+ {
701
+ "epoch": 0.32,
702
+ "learning_rate": 8.375805096611594e-05,
703
+ "loss": 1.8095,
704
+ "step": 1160
705
+ },
706
+ {
707
+ "epoch": 0.33,
708
+ "learning_rate": 8.36180341640997e-05,
709
+ "loss": 1.8118,
710
+ "step": 1170
711
+ },
712
+ {
713
+ "epoch": 0.33,
714
+ "learning_rate": 8.347801736208345e-05,
715
+ "loss": 1.8195,
716
+ "step": 1180
717
+ },
718
+ {
719
+ "epoch": 0.33,
720
+ "learning_rate": 8.33380005600672e-05,
721
+ "loss": 1.8171,
722
+ "step": 1190
723
+ },
724
+ {
725
+ "epoch": 0.34,
726
+ "learning_rate": 8.319798375805097e-05,
727
+ "loss": 1.7997,
728
+ "step": 1200
729
+ },
730
+ {
731
+ "epoch": 0.34,
732
+ "learning_rate": 8.305796695603472e-05,
733
+ "loss": 1.8308,
734
+ "step": 1210
735
+ },
736
+ {
737
+ "epoch": 0.34,
738
+ "learning_rate": 8.291795015401849e-05,
739
+ "loss": 1.8208,
740
+ "step": 1220
741
+ },
742
+ {
743
+ "epoch": 0.34,
744
+ "learning_rate": 8.277793335200225e-05,
745
+ "loss": 1.808,
746
+ "step": 1230
747
+ },
748
+ {
749
+ "epoch": 0.35,
750
+ "learning_rate": 8.2637916549986e-05,
751
+ "loss": 1.8106,
752
+ "step": 1240
753
+ },
754
+ {
755
+ "epoch": 0.35,
756
+ "learning_rate": 8.249789974796977e-05,
757
+ "loss": 1.7959,
758
+ "step": 1250
759
+ },
760
+ {
761
+ "epoch": 0.35,
762
+ "learning_rate": 8.235788294595352e-05,
763
+ "loss": 1.8154,
764
+ "step": 1260
765
+ },
766
+ {
767
+ "epoch": 0.36,
768
+ "learning_rate": 8.221786614393727e-05,
769
+ "loss": 1.8068,
770
+ "step": 1270
771
+ },
772
+ {
773
+ "epoch": 0.36,
774
+ "learning_rate": 8.207784934192103e-05,
775
+ "loss": 1.8405,
776
+ "step": 1280
777
+ },
778
+ {
779
+ "epoch": 0.36,
780
+ "learning_rate": 8.193783253990478e-05,
781
+ "loss": 1.8299,
782
+ "step": 1290
783
+ },
784
+ {
785
+ "epoch": 0.36,
786
+ "learning_rate": 8.179781573788855e-05,
787
+ "loss": 1.7848,
788
+ "step": 1300
789
+ },
790
+ {
791
+ "epoch": 0.37,
792
+ "learning_rate": 8.165779893587231e-05,
793
+ "loss": 1.7936,
794
+ "step": 1310
795
+ },
796
+ {
797
+ "epoch": 0.37,
798
+ "learning_rate": 8.151778213385607e-05,
799
+ "loss": 1.8244,
800
+ "step": 1320
801
+ },
802
+ {
803
+ "epoch": 0.37,
804
+ "learning_rate": 8.137776533183983e-05,
805
+ "loss": 1.8164,
806
+ "step": 1330
807
+ },
808
+ {
809
+ "epoch": 0.38,
810
+ "learning_rate": 8.123774852982358e-05,
811
+ "loss": 1.8106,
812
+ "step": 1340
813
+ },
814
+ {
815
+ "epoch": 0.38,
816
+ "learning_rate": 8.109773172780733e-05,
817
+ "loss": 1.8173,
818
+ "step": 1350
819
+ },
820
+ {
821
+ "epoch": 0.38,
822
+ "learning_rate": 8.09577149257911e-05,
823
+ "loss": 1.8049,
824
+ "step": 1360
825
+ },
826
+ {
827
+ "epoch": 0.38,
828
+ "learning_rate": 8.081769812377485e-05,
829
+ "loss": 1.7982,
830
+ "step": 1370
831
+ },
832
+ {
833
+ "epoch": 0.39,
834
+ "learning_rate": 8.067768132175861e-05,
835
+ "loss": 1.814,
836
+ "step": 1380
837
+ },
838
+ {
839
+ "epoch": 0.39,
840
+ "learning_rate": 8.053766451974238e-05,
841
+ "loss": 1.8146,
842
+ "step": 1390
843
+ },
844
+ {
845
+ "epoch": 0.39,
846
+ "learning_rate": 8.039764771772613e-05,
847
+ "loss": 1.8239,
848
+ "step": 1400
849
+ },
850
+ {
851
+ "epoch": 0.39,
852
+ "learning_rate": 8.02576309157099e-05,
853
+ "loss": 1.802,
854
+ "step": 1410
855
+ },
856
+ {
857
+ "epoch": 0.4,
858
+ "learning_rate": 8.011761411369365e-05,
859
+ "loss": 1.8188,
860
+ "step": 1420
861
+ },
862
+ {
863
+ "epoch": 0.4,
864
+ "learning_rate": 7.997759731167741e-05,
865
+ "loss": 1.828,
866
+ "step": 1430
867
+ },
868
+ {
869
+ "epoch": 0.4,
870
+ "learning_rate": 7.983758050966116e-05,
871
+ "loss": 1.8091,
872
+ "step": 1440
873
+ },
874
+ {
875
+ "epoch": 0.41,
876
+ "learning_rate": 7.969756370764491e-05,
877
+ "loss": 1.8141,
878
+ "step": 1450
879
+ },
880
+ {
881
+ "epoch": 0.41,
882
+ "learning_rate": 7.955754690562868e-05,
883
+ "loss": 1.7822,
884
+ "step": 1460
885
+ },
886
+ {
887
+ "epoch": 0.41,
888
+ "learning_rate": 7.941753010361243e-05,
889
+ "loss": 1.8111,
890
+ "step": 1470
891
+ },
892
+ {
893
+ "epoch": 0.41,
894
+ "learning_rate": 7.92775133015962e-05,
895
+ "loss": 1.8062,
896
+ "step": 1480
897
+ },
898
+ {
899
+ "epoch": 0.42,
900
+ "learning_rate": 7.913749649957996e-05,
901
+ "loss": 1.8261,
902
+ "step": 1490
903
+ },
904
+ {
905
+ "epoch": 0.42,
906
+ "learning_rate": 7.899747969756371e-05,
907
+ "loss": 1.8266,
908
+ "step": 1500
909
+ },
910
+ {
911
+ "epoch": 0.42,
912
+ "learning_rate": 7.885746289554748e-05,
913
+ "loss": 1.7949,
914
+ "step": 1510
915
+ },
916
+ {
917
+ "epoch": 0.43,
918
+ "learning_rate": 7.871744609353123e-05,
919
+ "loss": 1.8335,
920
+ "step": 1520
921
+ },
922
+ {
923
+ "epoch": 0.43,
924
+ "learning_rate": 7.857742929151498e-05,
925
+ "loss": 1.8092,
926
+ "step": 1530
927
+ },
928
+ {
929
+ "epoch": 0.43,
930
+ "learning_rate": 7.843741248949874e-05,
931
+ "loss": 1.8151,
932
+ "step": 1540
933
+ },
934
+ {
935
+ "epoch": 0.43,
936
+ "learning_rate": 7.82973956874825e-05,
937
+ "loss": 1.7941,
938
+ "step": 1550
939
+ },
940
+ {
941
+ "epoch": 0.44,
942
+ "learning_rate": 7.815737888546626e-05,
943
+ "loss": 1.8149,
944
+ "step": 1560
945
+ },
946
+ {
947
+ "epoch": 0.44,
948
+ "learning_rate": 7.801736208345002e-05,
949
+ "loss": 1.7763,
950
+ "step": 1570
951
+ },
952
+ {
953
+ "epoch": 0.44,
954
+ "learning_rate": 7.787734528143377e-05,
955
+ "loss": 1.8153,
956
+ "step": 1580
957
+ },
958
+ {
959
+ "epoch": 0.45,
960
+ "learning_rate": 7.773732847941754e-05,
961
+ "loss": 1.8114,
962
+ "step": 1590
963
+ },
964
+ {
965
+ "epoch": 0.45,
966
+ "learning_rate": 7.759731167740129e-05,
967
+ "loss": 1.8236,
968
+ "step": 1600
969
+ },
970
+ {
971
+ "epoch": 0.45,
972
+ "learning_rate": 7.745729487538504e-05,
973
+ "loss": 1.8221,
974
+ "step": 1610
975
+ },
976
+ {
977
+ "epoch": 0.45,
978
+ "learning_rate": 7.731727807336881e-05,
979
+ "loss": 1.8017,
980
+ "step": 1620
981
+ },
982
+ {
983
+ "epoch": 0.46,
984
+ "learning_rate": 7.717726127135256e-05,
985
+ "loss": 1.7907,
986
+ "step": 1630
987
+ },
988
+ {
989
+ "epoch": 0.46,
990
+ "learning_rate": 7.703724446933632e-05,
991
+ "loss": 1.8237,
992
+ "step": 1640
993
+ },
994
+ {
995
+ "epoch": 0.46,
996
+ "learning_rate": 7.689722766732009e-05,
997
+ "loss": 1.7818,
998
+ "step": 1650
999
+ },
1000
+ {
1001
+ "epoch": 0.46,
1002
+ "learning_rate": 7.675721086530384e-05,
1003
+ "loss": 1.7932,
1004
+ "step": 1660
1005
+ },
1006
+ {
1007
+ "epoch": 0.47,
1008
+ "learning_rate": 7.66171940632876e-05,
1009
+ "loss": 1.8069,
1010
+ "step": 1670
1011
+ },
1012
+ {
1013
+ "epoch": 0.47,
1014
+ "learning_rate": 7.647717726127136e-05,
1015
+ "loss": 1.8438,
1016
+ "step": 1680
1017
+ },
1018
+ {
1019
+ "epoch": 0.47,
1020
+ "learning_rate": 7.633716045925512e-05,
1021
+ "loss": 1.7775,
1022
+ "step": 1690
1023
+ },
1024
+ {
1025
+ "epoch": 0.48,
1026
+ "learning_rate": 7.619714365723887e-05,
1027
+ "loss": 1.834,
1028
+ "step": 1700
1029
+ },
1030
+ {
1031
+ "epoch": 0.48,
1032
+ "learning_rate": 7.605712685522262e-05,
1033
+ "loss": 1.7821,
1034
+ "step": 1710
1035
+ },
1036
+ {
1037
+ "epoch": 0.48,
1038
+ "learning_rate": 7.591711005320639e-05,
1039
+ "loss": 1.7951,
1040
+ "step": 1720
1041
+ },
1042
+ {
1043
+ "epoch": 0.48,
1044
+ "learning_rate": 7.577709325119014e-05,
1045
+ "loss": 1.815,
1046
+ "step": 1730
1047
+ },
1048
+ {
1049
+ "epoch": 0.49,
1050
+ "learning_rate": 7.56370764491739e-05,
1051
+ "loss": 1.8183,
1052
+ "step": 1740
1053
+ },
1054
+ {
1055
+ "epoch": 0.49,
1056
+ "learning_rate": 7.549705964715767e-05,
1057
+ "loss": 1.8088,
1058
+ "step": 1750
1059
+ },
1060
+ {
1061
+ "epoch": 0.49,
1062
+ "learning_rate": 7.535704284514142e-05,
1063
+ "loss": 1.8196,
1064
+ "step": 1760
1065
+ },
1066
+ {
1067
+ "epoch": 0.5,
1068
+ "learning_rate": 7.521702604312518e-05,
1069
+ "loss": 1.7952,
1070
+ "step": 1770
1071
+ },
1072
+ {
1073
+ "epoch": 0.5,
1074
+ "learning_rate": 7.507700924110894e-05,
1075
+ "loss": 1.8086,
1076
+ "step": 1780
1077
+ },
1078
+ {
1079
+ "epoch": 0.5,
1080
+ "learning_rate": 7.493699243909269e-05,
1081
+ "loss": 1.8127,
1082
+ "step": 1790
1083
+ },
1084
+ {
1085
+ "epoch": 0.5,
1086
+ "learning_rate": 7.479697563707645e-05,
1087
+ "loss": 1.8047,
1088
+ "step": 1800
1089
+ },
1090
+ {
1091
+ "epoch": 0.51,
1092
+ "learning_rate": 7.46569588350602e-05,
1093
+ "loss": 1.8227,
1094
+ "step": 1810
1095
+ },
1096
+ {
1097
+ "epoch": 0.51,
1098
+ "learning_rate": 7.451694203304397e-05,
1099
+ "loss": 1.8252,
1100
+ "step": 1820
1101
+ },
1102
+ {
1103
+ "epoch": 0.51,
1104
+ "learning_rate": 7.437692523102773e-05,
1105
+ "loss": 1.8022,
1106
+ "step": 1830
1107
+ },
1108
+ {
1109
+ "epoch": 0.52,
1110
+ "learning_rate": 7.423690842901148e-05,
1111
+ "loss": 1.8159,
1112
+ "step": 1840
1113
+ },
1114
+ {
1115
+ "epoch": 0.52,
1116
+ "learning_rate": 7.409689162699525e-05,
1117
+ "loss": 1.8097,
1118
+ "step": 1850
1119
+ },
1120
+ {
1121
+ "epoch": 0.52,
1122
+ "learning_rate": 7.3956874824979e-05,
1123
+ "loss": 1.8104,
1124
+ "step": 1860
1125
+ },
1126
+ {
1127
+ "epoch": 0.52,
1128
+ "learning_rate": 7.381685802296275e-05,
1129
+ "loss": 1.8061,
1130
+ "step": 1870
1131
+ },
1132
+ {
1133
+ "epoch": 0.53,
1134
+ "learning_rate": 7.367684122094652e-05,
1135
+ "loss": 1.8273,
1136
+ "step": 1880
1137
+ },
1138
+ {
1139
+ "epoch": 0.53,
1140
+ "learning_rate": 7.353682441893027e-05,
1141
+ "loss": 1.8178,
1142
+ "step": 1890
1143
+ },
1144
+ {
1145
+ "epoch": 0.53,
1146
+ "learning_rate": 7.339680761691403e-05,
1147
+ "loss": 1.8238,
1148
+ "step": 1900
1149
+ },
1150
+ {
1151
+ "epoch": 0.53,
1152
+ "learning_rate": 7.32567908148978e-05,
1153
+ "loss": 1.7897,
1154
+ "step": 1910
1155
+ },
1156
+ {
1157
+ "epoch": 0.54,
1158
+ "learning_rate": 7.311677401288155e-05,
1159
+ "loss": 1.8134,
1160
+ "step": 1920
1161
+ },
1162
+ {
1163
+ "epoch": 0.54,
1164
+ "learning_rate": 7.297675721086531e-05,
1165
+ "loss": 1.8154,
1166
+ "step": 1930
1167
+ },
1168
+ {
1169
+ "epoch": 0.54,
1170
+ "learning_rate": 7.283674040884906e-05,
1171
+ "loss": 1.8324,
1172
+ "step": 1940
1173
+ },
1174
+ {
1175
+ "epoch": 0.55,
1176
+ "learning_rate": 7.269672360683283e-05,
1177
+ "loss": 1.7943,
1178
+ "step": 1950
1179
+ },
1180
+ {
1181
+ "epoch": 0.55,
1182
+ "learning_rate": 7.255670680481658e-05,
1183
+ "loss": 1.8176,
1184
+ "step": 1960
1185
+ },
1186
+ {
1187
+ "epoch": 0.55,
1188
+ "learning_rate": 7.241669000280033e-05,
1189
+ "loss": 1.8162,
1190
+ "step": 1970
1191
+ },
1192
+ {
1193
+ "epoch": 0.55,
1194
+ "learning_rate": 7.22766732007841e-05,
1195
+ "loss": 1.8369,
1196
+ "step": 1980
1197
+ },
1198
+ {
1199
+ "epoch": 0.56,
1200
+ "learning_rate": 7.213665639876786e-05,
1201
+ "loss": 1.7854,
1202
+ "step": 1990
1203
+ },
1204
+ {
1205
+ "epoch": 0.56,
1206
+ "learning_rate": 7.199663959675161e-05,
1207
+ "loss": 1.8253,
1208
+ "step": 2000
1209
+ }
1210
+ ],
1211
+ "max_steps": 7142,
1212
+ "num_train_epochs": 2,
1213
+ "total_flos": 2.274070628401152e+18,
1214
+ "trial_name": null,
1215
+ "trial_params": null
1216
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a0fb29546521ec4eae635ea411db7c9994e242ec10ed905109d6206d26aeb08
3
+ size 4027