UltimoUno commited on
Commit
a3f44bf
1 Parent(s): 4483b38

Uploaded checkpoint-1000

Browse files
config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "deepseek-ai/deepseek-coder-1.3b-instruct",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 32013,
9
+ "eos_token_id": 32021,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 5504,
14
+ "max_position_embeddings": 16384,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 16,
17
+ "num_hidden_layers": 24,
18
+ "num_key_value_heads": 16,
19
+ "pretraining_tp": 1,
20
+ "rms_norm_eps": 1e-06,
21
+ "rope_scaling": {
22
+ "factor": 4.0,
23
+ "type": "linear"
24
+ },
25
+ "rope_theta": 100000,
26
+ "tie_word_embeddings": false,
27
+ "torch_dtype": "bfloat16",
28
+ "transformers_version": "4.38.2",
29
+ "use_cache": true,
30
+ "vocab_size": 32256
31
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 32013,
4
+ "eos_token_id": 32021,
5
+ "transformers_version": "4.38.2"
6
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0fbb9cfe7cfb86eaaf9ee6c5c63c8be6dd7ecfcf77c953a89cc265995eddc2b
3
+ size 2692969128
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05dcd5fe3ca3347a838d3933a53fbd0ac66fb2cfd439b2289b691c7fd24419d6
3
+ size 5386075202
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2e155718eaa0de9768e57816e6e6874ba931ec4489afb1c2874db91c97f7a96
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c69e416a1c1c7cfbd03505995e73f15a3c32b1cc0b0dc09a821d33b4e92286e
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,729 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.026573657989501953,
3
+ "best_model_checkpoint": "runs/deepseek_20240423-162824/checkpoint-1000",
4
+ "epoch": 0.31330774653403304,
5
+ "eval_steps": 1000,
6
+ "global_step": 1000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "grad_norm": 11.5,
14
+ "learning_rate": 4.0000000000000003e-07,
15
+ "loss": 1.5189,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.01,
20
+ "grad_norm": 16.375,
21
+ "learning_rate": 8.000000000000001e-07,
22
+ "loss": 1.5082,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.01,
27
+ "grad_norm": 21.75,
28
+ "learning_rate": 1.2000000000000002e-06,
29
+ "loss": 1.4715,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.01,
34
+ "grad_norm": 13.8125,
35
+ "learning_rate": 1.6000000000000001e-06,
36
+ "loss": 1.4515,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.02,
41
+ "grad_norm": 9.8125,
42
+ "learning_rate": 2.0000000000000003e-06,
43
+ "loss": 1.5133,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.02,
48
+ "grad_norm": 10.25,
49
+ "learning_rate": 2.4000000000000003e-06,
50
+ "loss": 1.313,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.02,
55
+ "grad_norm": 18.125,
56
+ "learning_rate": 2.8000000000000003e-06,
57
+ "loss": 1.4489,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.03,
62
+ "grad_norm": 28.0,
63
+ "learning_rate": 3.2000000000000003e-06,
64
+ "loss": 1.2688,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.03,
69
+ "grad_norm": 9.25,
70
+ "learning_rate": 3.6000000000000003e-06,
71
+ "loss": 1.2326,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.03,
76
+ "grad_norm": 25.625,
77
+ "learning_rate": 4.000000000000001e-06,
78
+ "loss": 1.1791,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.03,
83
+ "grad_norm": 6.96875,
84
+ "learning_rate": 4.4e-06,
85
+ "loss": 0.9111,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.04,
90
+ "grad_norm": 6.84375,
91
+ "learning_rate": 4.800000000000001e-06,
92
+ "loss": 0.8633,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.04,
97
+ "grad_norm": 7.9375,
98
+ "learning_rate": 5.2e-06,
99
+ "loss": 0.5553,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.04,
104
+ "grad_norm": 14.5625,
105
+ "learning_rate": 5.600000000000001e-06,
106
+ "loss": 0.5916,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.05,
111
+ "grad_norm": 8.8125,
112
+ "learning_rate": 6e-06,
113
+ "loss": 0.4327,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.05,
118
+ "grad_norm": 3.9375,
119
+ "learning_rate": 6.4000000000000006e-06,
120
+ "loss": 0.2799,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.05,
125
+ "grad_norm": 2.34375,
126
+ "learning_rate": 6.800000000000001e-06,
127
+ "loss": 0.2369,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.06,
132
+ "grad_norm": 0.171875,
133
+ "learning_rate": 7.2000000000000005e-06,
134
+ "loss": 0.2997,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.06,
139
+ "grad_norm": 0.287109375,
140
+ "learning_rate": 7.600000000000001e-06,
141
+ "loss": 0.0946,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.06,
146
+ "grad_norm": 18.25,
147
+ "learning_rate": 8.000000000000001e-06,
148
+ "loss": 0.1124,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.07,
153
+ "grad_norm": 1.546875,
154
+ "learning_rate": 8.400000000000001e-06,
155
+ "loss": 0.1131,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.07,
160
+ "grad_norm": 0.71484375,
161
+ "learning_rate": 8.8e-06,
162
+ "loss": 0.0652,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.07,
167
+ "grad_norm": 1.859375,
168
+ "learning_rate": 9.200000000000002e-06,
169
+ "loss": 0.1486,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.08,
174
+ "grad_norm": 1.65625,
175
+ "learning_rate": 9.600000000000001e-06,
176
+ "loss": 0.2169,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.08,
181
+ "grad_norm": 0.1357421875,
182
+ "learning_rate": 1e-05,
183
+ "loss": 0.2408,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.08,
188
+ "grad_norm": 0.055908203125,
189
+ "learning_rate": 1.04e-05,
190
+ "loss": 0.1166,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.08,
195
+ "grad_norm": 5.375,
196
+ "learning_rate": 1.0800000000000002e-05,
197
+ "loss": 0.0114,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.09,
202
+ "grad_norm": 0.0927734375,
203
+ "learning_rate": 1.1200000000000001e-05,
204
+ "loss": 0.1631,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.09,
209
+ "grad_norm": 0.07177734375,
210
+ "learning_rate": 1.16e-05,
211
+ "loss": 0.0603,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.09,
216
+ "grad_norm": 0.482421875,
217
+ "learning_rate": 1.2e-05,
218
+ "loss": 0.1077,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.1,
223
+ "grad_norm": 12.5625,
224
+ "learning_rate": 1.2400000000000002e-05,
225
+ "loss": 0.0832,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.1,
230
+ "grad_norm": 0.048095703125,
231
+ "learning_rate": 1.2800000000000001e-05,
232
+ "loss": 0.0496,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.1,
237
+ "grad_norm": 0.400390625,
238
+ "learning_rate": 1.3200000000000002e-05,
239
+ "loss": 0.1024,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.11,
244
+ "grad_norm": 20.625,
245
+ "learning_rate": 1.3600000000000002e-05,
246
+ "loss": 0.1108,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.11,
251
+ "grad_norm": 0.01611328125,
252
+ "learning_rate": 1.4e-05,
253
+ "loss": 0.0336,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.11,
258
+ "grad_norm": 0.01544189453125,
259
+ "learning_rate": 1.4400000000000001e-05,
260
+ "loss": 0.0165,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.12,
265
+ "grad_norm": 28.0,
266
+ "learning_rate": 1.48e-05,
267
+ "loss": 0.113,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.12,
272
+ "grad_norm": 0.0155029296875,
273
+ "learning_rate": 1.5200000000000002e-05,
274
+ "loss": 0.0221,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.12,
279
+ "grad_norm": 0.0164794921875,
280
+ "learning_rate": 1.5600000000000003e-05,
281
+ "loss": 0.1383,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.13,
286
+ "grad_norm": 1.3203125,
287
+ "learning_rate": 1.6000000000000003e-05,
288
+ "loss": 0.0589,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.13,
293
+ "grad_norm": 0.00909423828125,
294
+ "learning_rate": 1.64e-05,
295
+ "loss": 0.055,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.13,
300
+ "grad_norm": 0.236328125,
301
+ "learning_rate": 1.6800000000000002e-05,
302
+ "loss": 0.0195,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.13,
307
+ "grad_norm": 0.01025390625,
308
+ "learning_rate": 1.72e-05,
309
+ "loss": 0.1477,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.14,
314
+ "grad_norm": 0.007415771484375,
315
+ "learning_rate": 1.76e-05,
316
+ "loss": 0.0708,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.14,
321
+ "grad_norm": 0.01214599609375,
322
+ "learning_rate": 1.8e-05,
323
+ "loss": 0.0808,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.14,
328
+ "grad_norm": 11.3125,
329
+ "learning_rate": 1.8400000000000003e-05,
330
+ "loss": 0.0689,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.15,
335
+ "grad_norm": 0.013427734375,
336
+ "learning_rate": 1.88e-05,
337
+ "loss": 0.1786,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.15,
342
+ "grad_norm": 0.0113525390625,
343
+ "learning_rate": 1.9200000000000003e-05,
344
+ "loss": 0.0897,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.15,
349
+ "grad_norm": 0.2490234375,
350
+ "learning_rate": 1.9600000000000002e-05,
351
+ "loss": 0.0934,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.16,
356
+ "grad_norm": 13.0,
357
+ "learning_rate": 2e-05,
358
+ "loss": 0.1318,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.16,
363
+ "grad_norm": 0.0162353515625,
364
+ "learning_rate": 1.9955555555555557e-05,
365
+ "loss": 0.0156,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.16,
370
+ "grad_norm": 0.0693359375,
371
+ "learning_rate": 1.9911111111111112e-05,
372
+ "loss": 0.067,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.17,
377
+ "grad_norm": 0.007232666015625,
378
+ "learning_rate": 1.9866666666666667e-05,
379
+ "loss": 0.1199,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.17,
384
+ "grad_norm": 1.796875,
385
+ "learning_rate": 1.9822222222222226e-05,
386
+ "loss": 0.0882,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.17,
391
+ "grad_norm": 10.5,
392
+ "learning_rate": 1.977777777777778e-05,
393
+ "loss": 0.1482,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.18,
398
+ "grad_norm": 0.0086669921875,
399
+ "learning_rate": 1.9733333333333336e-05,
400
+ "loss": 0.0937,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.18,
405
+ "grad_norm": 0.328125,
406
+ "learning_rate": 1.968888888888889e-05,
407
+ "loss": 0.0845,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.18,
412
+ "grad_norm": 17.75,
413
+ "learning_rate": 1.9644444444444447e-05,
414
+ "loss": 0.1225,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.18,
419
+ "grad_norm": 0.0068359375,
420
+ "learning_rate": 1.9600000000000002e-05,
421
+ "loss": 0.1117,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.19,
426
+ "grad_norm": 0.00830078125,
427
+ "learning_rate": 1.9555555555555557e-05,
428
+ "loss": 0.1494,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.19,
433
+ "grad_norm": 0.01019287109375,
434
+ "learning_rate": 1.9511111111111113e-05,
435
+ "loss": 0.0575,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.19,
440
+ "grad_norm": 1.5,
441
+ "learning_rate": 1.9466666666666668e-05,
442
+ "loss": 0.0366,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.2,
447
+ "grad_norm": 0.035400390625,
448
+ "learning_rate": 1.9422222222222223e-05,
449
+ "loss": 0.0528,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.2,
454
+ "grad_norm": 0.00860595703125,
455
+ "learning_rate": 1.9377777777777778e-05,
456
+ "loss": 0.0518,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.2,
461
+ "grad_norm": 0.00732421875,
462
+ "learning_rate": 1.9333333333333333e-05,
463
+ "loss": 0.2077,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.21,
468
+ "grad_norm": 3.921875,
469
+ "learning_rate": 1.928888888888889e-05,
470
+ "loss": 0.0559,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.21,
475
+ "grad_norm": 0.01165771484375,
476
+ "learning_rate": 1.9244444444444444e-05,
477
+ "loss": 0.139,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.21,
482
+ "grad_norm": 0.03271484375,
483
+ "learning_rate": 1.9200000000000003e-05,
484
+ "loss": 0.0641,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.22,
489
+ "grad_norm": 0.007232666015625,
490
+ "learning_rate": 1.9155555555555558e-05,
491
+ "loss": 0.0861,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.22,
496
+ "grad_norm": 0.0341796875,
497
+ "learning_rate": 1.9111111111111113e-05,
498
+ "loss": 0.0353,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.22,
503
+ "grad_norm": 6.34375,
504
+ "learning_rate": 1.9066666666666668e-05,
505
+ "loss": 0.0446,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.23,
510
+ "grad_norm": 0.01019287109375,
511
+ "learning_rate": 1.9022222222222223e-05,
512
+ "loss": 0.1009,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.23,
517
+ "grad_norm": 0.007293701171875,
518
+ "learning_rate": 1.897777777777778e-05,
519
+ "loss": 0.0141,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.23,
524
+ "grad_norm": 0.009521484375,
525
+ "learning_rate": 1.8933333333333334e-05,
526
+ "loss": 0.106,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.23,
531
+ "grad_norm": 12.3125,
532
+ "learning_rate": 1.888888888888889e-05,
533
+ "loss": 0.1166,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.24,
538
+ "grad_norm": 12.875,
539
+ "learning_rate": 1.8844444444444444e-05,
540
+ "loss": 0.1105,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.24,
545
+ "grad_norm": 21.25,
546
+ "learning_rate": 1.88e-05,
547
+ "loss": 0.0407,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.24,
552
+ "grad_norm": 18.25,
553
+ "learning_rate": 1.8755555555555558e-05,
554
+ "loss": 0.1127,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.25,
559
+ "grad_norm": 0.032958984375,
560
+ "learning_rate": 1.8711111111111113e-05,
561
+ "loss": 0.022,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.25,
566
+ "grad_norm": 8.6875,
567
+ "learning_rate": 1.866666666666667e-05,
568
+ "loss": 0.1099,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.25,
573
+ "grad_norm": 0.005950927734375,
574
+ "learning_rate": 1.8622222222222224e-05,
575
+ "loss": 0.0456,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.26,
580
+ "grad_norm": 0.005279541015625,
581
+ "learning_rate": 1.857777777777778e-05,
582
+ "loss": 0.086,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.26,
587
+ "grad_norm": 0.03662109375,
588
+ "learning_rate": 1.8533333333333334e-05,
589
+ "loss": 0.0814,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.26,
594
+ "grad_norm": 0.0089111328125,
595
+ "learning_rate": 1.848888888888889e-05,
596
+ "loss": 0.0382,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.27,
601
+ "grad_norm": 292.0,
602
+ "learning_rate": 1.8444444444444448e-05,
603
+ "loss": 0.0244,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.27,
608
+ "grad_norm": 0.01263427734375,
609
+ "learning_rate": 1.8400000000000003e-05,
610
+ "loss": 0.0213,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.27,
615
+ "grad_norm": 0.004608154296875,
616
+ "learning_rate": 1.835555555555556e-05,
617
+ "loss": 0.0438,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.28,
622
+ "grad_norm": 0.005340576171875,
623
+ "learning_rate": 1.8311111111111114e-05,
624
+ "loss": 0.2058,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.28,
629
+ "grad_norm": 0.04931640625,
630
+ "learning_rate": 1.826666666666667e-05,
631
+ "loss": 0.0169,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.28,
636
+ "grad_norm": 9.5,
637
+ "learning_rate": 1.8222222222222224e-05,
638
+ "loss": 0.0693,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.29,
643
+ "grad_norm": 0.00396728515625,
644
+ "learning_rate": 1.817777777777778e-05,
645
+ "loss": 0.0502,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 0.29,
650
+ "grad_norm": 0.0206298828125,
651
+ "learning_rate": 1.8133333333333335e-05,
652
+ "loss": 0.0479,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 0.29,
657
+ "grad_norm": 0.046875,
658
+ "learning_rate": 1.808888888888889e-05,
659
+ "loss": 0.0184,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 0.29,
664
+ "grad_norm": 13.6875,
665
+ "learning_rate": 1.8044444444444445e-05,
666
+ "loss": 0.0315,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 0.3,
671
+ "grad_norm": 10.0,
672
+ "learning_rate": 1.8e-05,
673
+ "loss": 0.0702,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 0.3,
678
+ "grad_norm": 7.84375,
679
+ "learning_rate": 1.7955555555555556e-05,
680
+ "loss": 0.162,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 0.3,
685
+ "grad_norm": 11.25,
686
+ "learning_rate": 1.791111111111111e-05,
687
+ "loss": 0.0772,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 0.31,
692
+ "grad_norm": 0.0206298828125,
693
+ "learning_rate": 1.7866666666666666e-05,
694
+ "loss": 0.078,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 0.31,
699
+ "grad_norm": 0.0546875,
700
+ "learning_rate": 1.782222222222222e-05,
701
+ "loss": 0.0804,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 0.31,
706
+ "grad_norm": 0.053466796875,
707
+ "learning_rate": 1.7777777777777777e-05,
708
+ "loss": 0.0512,
709
+ "step": 1000
710
+ },
711
+ {
712
+ "epoch": 0.31,
713
+ "eval_loss": 0.026573657989501953,
714
+ "eval_runtime": 53.6666,
715
+ "eval_samples_per_second": 18.634,
716
+ "eval_steps_per_second": 18.634,
717
+ "step": 1000
718
+ }
719
+ ],
720
+ "logging_steps": 10,
721
+ "max_steps": 5000,
722
+ "num_input_tokens_seen": 0,
723
+ "num_train_epochs": 2,
724
+ "save_steps": 1000,
725
+ "total_flos": 1.5733698330624e+16,
726
+ "train_batch_size": 1,
727
+ "trial_name": null,
728
+ "trial_params": null
729
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e6c08c59fe8aaee6289e0b5cfe4247074e4ae5111df1b495e3c9cd5dd0e0293
3
+ size 4856