hwm21 commited on
Commit
3bc48db
1 Parent(s): d5ca6de

Training in progress, step 3800, checkpoint

Browse files
checkpoint-3800/config.json ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/detr-resnet-50-dc5",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "relu",
5
+ "architectures": [
6
+ "DetrForObjectDetection"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "auxiliary_loss": false,
10
+ "backbone": "resnet50",
11
+ "backbone_config": null,
12
+ "backbone_kwargs": {
13
+ "in_chans": 3,
14
+ "out_indices": [
15
+ 1,
16
+ 2,
17
+ 3,
18
+ 4
19
+ ],
20
+ "output_stride": 16
21
+ },
22
+ "bbox_cost": 5,
23
+ "bbox_loss_coefficient": 5,
24
+ "class_cost": 1,
25
+ "classifier_dropout": 0.0,
26
+ "d_model": 256,
27
+ "decoder_attention_heads": 8,
28
+ "decoder_ffn_dim": 2048,
29
+ "decoder_layerdrop": 0.0,
30
+ "decoder_layers": 6,
31
+ "dice_loss_coefficient": 1,
32
+ "dilation": true,
33
+ "dropout": 0.1,
34
+ "encoder_attention_heads": 8,
35
+ "encoder_ffn_dim": 2048,
36
+ "encoder_layerdrop": 0.0,
37
+ "encoder_layers": 6,
38
+ "eos_coefficient": 0.1,
39
+ "giou_cost": 2,
40
+ "giou_loss_coefficient": 2,
41
+ "id2label": {
42
+ "0": "segment"
43
+ },
44
+ "init_std": 0.02,
45
+ "init_xavier_std": 1.0,
46
+ "is_encoder_decoder": true,
47
+ "label2id": {
48
+ "segment": 0
49
+ },
50
+ "mask_loss_coefficient": 1,
51
+ "max_position_embeddings": 1024,
52
+ "model_type": "detr",
53
+ "num_channels": 3,
54
+ "num_hidden_layers": 6,
55
+ "num_queries": 500,
56
+ "position_embedding_type": "sine",
57
+ "scale_embedding": false,
58
+ "torch_dtype": "float32",
59
+ "transformers_version": "4.44.1",
60
+ "use_pretrained_backbone": true,
61
+ "use_timm_backbone": true
62
+ }
checkpoint-3800/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5ea5286259c67a2b195b785a1d118e3bfcec15cb504c142db4c0a59ec3bca24
3
+ size 166904424
checkpoint-3800/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d30468cc1a1ffb1ec246546ab20910827ec9c7d4440584e1384e71ee0fc580c0
3
+ size 331310970
checkpoint-3800/preprocessor_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_annotations": true,
3
+ "do_normalize": true,
4
+ "do_pad": true,
5
+ "do_rescale": true,
6
+ "do_resize": true,
7
+ "format": "coco_detection",
8
+ "image_mean": [
9
+ 0.485,
10
+ 0.456,
11
+ 0.406
12
+ ],
13
+ "image_processor_type": "DetrImageProcessor",
14
+ "image_std": [
15
+ 0.229,
16
+ 0.224,
17
+ 0.225
18
+ ],
19
+ "pad_size": null,
20
+ "resample": 2,
21
+ "rescale_factor": 0.00392156862745098,
22
+ "size": {
23
+ "longest_edge": 1333,
24
+ "shortest_edge": 800
25
+ }
26
+ }
checkpoint-3800/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a885d1c9cd7783d110d3d86d3a7aa17c37355954f0b3713513fa3f63033d426b
3
+ size 14244
checkpoint-3800/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4f399a7360363cddb4a17deda251d257e3f597961a65dceeff8e80dfcbd73f61
3
+ size 1064
checkpoint-3800/trainer_state.json ADDED
@@ -0,0 +1,565 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 46.91358024691358,
5
+ "eval_steps": 500,
6
+ "global_step": 3800,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.6172839506172839,
13
+ "grad_norm": 62.88630294799805,
14
+ "learning_rate": 9.916000000000001e-06,
15
+ "loss": 6.6856,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 1.2345679012345678,
20
+ "grad_norm": 387.6339111328125,
21
+ "learning_rate": 9.818000000000002e-06,
22
+ "loss": 5.5869,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 1.8518518518518519,
27
+ "grad_norm": 245.18975830078125,
28
+ "learning_rate": 9.718e-06,
29
+ "loss": 5.159,
30
+ "step": 150
31
+ },
32
+ {
33
+ "epoch": 2.4691358024691357,
34
+ "grad_norm": 330.3158264160156,
35
+ "learning_rate": 9.618e-06,
36
+ "loss": 4.0494,
37
+ "step": 200
38
+ },
39
+ {
40
+ "epoch": 3.0864197530864197,
41
+ "grad_norm": 138.14215087890625,
42
+ "learning_rate": 9.518000000000001e-06,
43
+ "loss": 3.6313,
44
+ "step": 250
45
+ },
46
+ {
47
+ "epoch": 3.7037037037037037,
48
+ "grad_norm": 166.69479370117188,
49
+ "learning_rate": 9.418e-06,
50
+ "loss": 3.3391,
51
+ "step": 300
52
+ },
53
+ {
54
+ "epoch": 4.320987654320987,
55
+ "grad_norm": 107.54407501220703,
56
+ "learning_rate": 9.318e-06,
57
+ "loss": 3.3295,
58
+ "step": 350
59
+ },
60
+ {
61
+ "epoch": 4.938271604938271,
62
+ "grad_norm": 293.8923034667969,
63
+ "learning_rate": 9.218e-06,
64
+ "loss": 3.0956,
65
+ "step": 400
66
+ },
67
+ {
68
+ "epoch": 5.555555555555555,
69
+ "grad_norm": 226.05360412597656,
70
+ "learning_rate": 9.118000000000001e-06,
71
+ "loss": 3.0271,
72
+ "step": 450
73
+ },
74
+ {
75
+ "epoch": 6.172839506172839,
76
+ "grad_norm": 352.8487854003906,
77
+ "learning_rate": 9.018e-06,
78
+ "loss": 3.0627,
79
+ "step": 500
80
+ },
81
+ {
82
+ "epoch": 6.790123456790123,
83
+ "grad_norm": 97.6641616821289,
84
+ "learning_rate": 8.918000000000002e-06,
85
+ "loss": 3.0312,
86
+ "step": 550
87
+ },
88
+ {
89
+ "epoch": 7.407407407407407,
90
+ "grad_norm": 90.92312622070312,
91
+ "learning_rate": 8.818000000000001e-06,
92
+ "loss": 3.0228,
93
+ "step": 600
94
+ },
95
+ {
96
+ "epoch": 8.024691358024691,
97
+ "grad_norm": 241.7625732421875,
98
+ "learning_rate": 8.718e-06,
99
+ "loss": 3.0873,
100
+ "step": 650
101
+ },
102
+ {
103
+ "epoch": 8.641975308641975,
104
+ "grad_norm": 162.14071655273438,
105
+ "learning_rate": 8.618000000000001e-06,
106
+ "loss": 2.9582,
107
+ "step": 700
108
+ },
109
+ {
110
+ "epoch": 9.25925925925926,
111
+ "grad_norm": 128.74766540527344,
112
+ "learning_rate": 8.518e-06,
113
+ "loss": 2.9787,
114
+ "step": 750
115
+ },
116
+ {
117
+ "epoch": 9.876543209876543,
118
+ "grad_norm": 164.0232391357422,
119
+ "learning_rate": 8.418000000000001e-06,
120
+ "loss": 2.969,
121
+ "step": 800
122
+ },
123
+ {
124
+ "epoch": 10.493827160493828,
125
+ "grad_norm": 110.58142852783203,
126
+ "learning_rate": 8.318e-06,
127
+ "loss": 2.884,
128
+ "step": 850
129
+ },
130
+ {
131
+ "epoch": 11.11111111111111,
132
+ "grad_norm": 111.70948791503906,
133
+ "learning_rate": 8.218e-06,
134
+ "loss": 2.8216,
135
+ "step": 900
136
+ },
137
+ {
138
+ "epoch": 11.728395061728396,
139
+ "grad_norm": 111.31181335449219,
140
+ "learning_rate": 8.118000000000001e-06,
141
+ "loss": 2.8621,
142
+ "step": 950
143
+ },
144
+ {
145
+ "epoch": 12.345679012345679,
146
+ "grad_norm": 84.1104507446289,
147
+ "learning_rate": 8.018e-06,
148
+ "loss": 2.7653,
149
+ "step": 1000
150
+ },
151
+ {
152
+ "epoch": 12.962962962962964,
153
+ "grad_norm": 85.67730712890625,
154
+ "learning_rate": 7.918e-06,
155
+ "loss": 2.8418,
156
+ "step": 1050
157
+ },
158
+ {
159
+ "epoch": 13.580246913580247,
160
+ "grad_norm": 567.8911743164062,
161
+ "learning_rate": 7.818e-06,
162
+ "loss": 2.789,
163
+ "step": 1100
164
+ },
165
+ {
166
+ "epoch": 14.197530864197532,
167
+ "grad_norm": 98.47197723388672,
168
+ "learning_rate": 7.718000000000001e-06,
169
+ "loss": 2.7996,
170
+ "step": 1150
171
+ },
172
+ {
173
+ "epoch": 14.814814814814815,
174
+ "grad_norm": 86.87311553955078,
175
+ "learning_rate": 7.618000000000001e-06,
176
+ "loss": 2.7087,
177
+ "step": 1200
178
+ },
179
+ {
180
+ "epoch": 15.432098765432098,
181
+ "grad_norm": 115.806640625,
182
+ "learning_rate": 7.518000000000001e-06,
183
+ "loss": 2.6898,
184
+ "step": 1250
185
+ },
186
+ {
187
+ "epoch": 16.049382716049383,
188
+ "grad_norm": 108.76448059082031,
189
+ "learning_rate": 7.418000000000001e-06,
190
+ "loss": 2.7533,
191
+ "step": 1300
192
+ },
193
+ {
194
+ "epoch": 16.666666666666668,
195
+ "grad_norm": 137.66285705566406,
196
+ "learning_rate": 7.318000000000001e-06,
197
+ "loss": 2.6817,
198
+ "step": 1350
199
+ },
200
+ {
201
+ "epoch": 17.28395061728395,
202
+ "grad_norm": 167.23983764648438,
203
+ "learning_rate": 7.218e-06,
204
+ "loss": 2.6612,
205
+ "step": 1400
206
+ },
207
+ {
208
+ "epoch": 17.901234567901234,
209
+ "grad_norm": 80.27250671386719,
210
+ "learning_rate": 7.118e-06,
211
+ "loss": 2.7053,
212
+ "step": 1450
213
+ },
214
+ {
215
+ "epoch": 18.51851851851852,
216
+ "grad_norm": 87.89417266845703,
217
+ "learning_rate": 7.018e-06,
218
+ "loss": 2.6016,
219
+ "step": 1500
220
+ },
221
+ {
222
+ "epoch": 19.135802469135804,
223
+ "grad_norm": 244.07081604003906,
224
+ "learning_rate": 6.9180000000000005e-06,
225
+ "loss": 2.6377,
226
+ "step": 1550
227
+ },
228
+ {
229
+ "epoch": 19.753086419753085,
230
+ "grad_norm": 66.56304931640625,
231
+ "learning_rate": 6.818e-06,
232
+ "loss": 2.5969,
233
+ "step": 1600
234
+ },
235
+ {
236
+ "epoch": 20.37037037037037,
237
+ "grad_norm": 146.2065887451172,
238
+ "learning_rate": 6.718e-06,
239
+ "loss": 2.5849,
240
+ "step": 1650
241
+ },
242
+ {
243
+ "epoch": 20.987654320987655,
244
+ "grad_norm": 105.38662719726562,
245
+ "learning_rate": 6.618000000000001e-06,
246
+ "loss": 2.588,
247
+ "step": 1700
248
+ },
249
+ {
250
+ "epoch": 21.604938271604937,
251
+ "grad_norm": 172.37232971191406,
252
+ "learning_rate": 6.518000000000001e-06,
253
+ "loss": 2.5201,
254
+ "step": 1750
255
+ },
256
+ {
257
+ "epoch": 22.22222222222222,
258
+ "grad_norm": 1186.192626953125,
259
+ "learning_rate": 6.418000000000001e-06,
260
+ "loss": 2.5618,
261
+ "step": 1800
262
+ },
263
+ {
264
+ "epoch": 22.839506172839506,
265
+ "grad_norm": 181.00384521484375,
266
+ "learning_rate": 6.318000000000001e-06,
267
+ "loss": 2.496,
268
+ "step": 1850
269
+ },
270
+ {
271
+ "epoch": 23.45679012345679,
272
+ "grad_norm": 90.32185363769531,
273
+ "learning_rate": 6.2180000000000004e-06,
274
+ "loss": 2.5254,
275
+ "step": 1900
276
+ },
277
+ {
278
+ "epoch": 24.074074074074073,
279
+ "grad_norm": 117.39266967773438,
280
+ "learning_rate": 6.1180000000000005e-06,
281
+ "loss": 2.4665,
282
+ "step": 1950
283
+ },
284
+ {
285
+ "epoch": 24.691358024691358,
286
+ "grad_norm": 117.4901123046875,
287
+ "learning_rate": 6.018000000000001e-06,
288
+ "loss": 2.4541,
289
+ "step": 2000
290
+ },
291
+ {
292
+ "epoch": 25.308641975308642,
293
+ "grad_norm": 112.75492095947266,
294
+ "learning_rate": 5.918000000000001e-06,
295
+ "loss": 2.4716,
296
+ "step": 2050
297
+ },
298
+ {
299
+ "epoch": 25.925925925925927,
300
+ "grad_norm": 75.71508026123047,
301
+ "learning_rate": 5.818e-06,
302
+ "loss": 2.4643,
303
+ "step": 2100
304
+ },
305
+ {
306
+ "epoch": 26.54320987654321,
307
+ "grad_norm": 87.87818145751953,
308
+ "learning_rate": 5.718e-06,
309
+ "loss": 2.452,
310
+ "step": 2150
311
+ },
312
+ {
313
+ "epoch": 27.160493827160494,
314
+ "grad_norm": 119.02462005615234,
315
+ "learning_rate": 5.618e-06,
316
+ "loss": 2.4431,
317
+ "step": 2200
318
+ },
319
+ {
320
+ "epoch": 27.77777777777778,
321
+ "grad_norm": 95.6996841430664,
322
+ "learning_rate": 5.518e-06,
323
+ "loss": 2.396,
324
+ "step": 2250
325
+ },
326
+ {
327
+ "epoch": 28.395061728395063,
328
+ "grad_norm": 82.37759399414062,
329
+ "learning_rate": 5.420000000000001e-06,
330
+ "loss": 2.4554,
331
+ "step": 2300
332
+ },
333
+ {
334
+ "epoch": 29.012345679012345,
335
+ "grad_norm": 63.04928207397461,
336
+ "learning_rate": 5.320000000000001e-06,
337
+ "loss": 2.3868,
338
+ "step": 2350
339
+ },
340
+ {
341
+ "epoch": 29.62962962962963,
342
+ "grad_norm": 85.531494140625,
343
+ "learning_rate": 5.220000000000001e-06,
344
+ "loss": 2.4088,
345
+ "step": 2400
346
+ },
347
+ {
348
+ "epoch": 30.246913580246915,
349
+ "grad_norm": 148.06163024902344,
350
+ "learning_rate": 5.12e-06,
351
+ "loss": 2.4479,
352
+ "step": 2450
353
+ },
354
+ {
355
+ "epoch": 30.864197530864196,
356
+ "grad_norm": 120.42308807373047,
357
+ "learning_rate": 5.02e-06,
358
+ "loss": 2.4293,
359
+ "step": 2500
360
+ },
361
+ {
362
+ "epoch": 31.48148148148148,
363
+ "grad_norm": 47.70389938354492,
364
+ "learning_rate": 4.92e-06,
365
+ "loss": 2.3727,
366
+ "step": 2550
367
+ },
368
+ {
369
+ "epoch": 32.098765432098766,
370
+ "grad_norm": 67.6549301147461,
371
+ "learning_rate": 4.8200000000000004e-06,
372
+ "loss": 2.3938,
373
+ "step": 2600
374
+ },
375
+ {
376
+ "epoch": 32.71604938271605,
377
+ "grad_norm": 71.10252380371094,
378
+ "learning_rate": 4.7200000000000005e-06,
379
+ "loss": 2.3758,
380
+ "step": 2650
381
+ },
382
+ {
383
+ "epoch": 33.333333333333336,
384
+ "grad_norm": 69.4305419921875,
385
+ "learning_rate": 4.620000000000001e-06,
386
+ "loss": 2.3855,
387
+ "step": 2700
388
+ },
389
+ {
390
+ "epoch": 33.95061728395062,
391
+ "grad_norm": 58.54874038696289,
392
+ "learning_rate": 4.520000000000001e-06,
393
+ "loss": 2.3638,
394
+ "step": 2750
395
+ },
396
+ {
397
+ "epoch": 34.5679012345679,
398
+ "grad_norm": 135.54541015625,
399
+ "learning_rate": 4.42e-06,
400
+ "loss": 2.3785,
401
+ "step": 2800
402
+ },
403
+ {
404
+ "epoch": 35.18518518518518,
405
+ "grad_norm": 191.87705993652344,
406
+ "learning_rate": 4.32e-06,
407
+ "loss": 2.3247,
408
+ "step": 2850
409
+ },
410
+ {
411
+ "epoch": 35.80246913580247,
412
+ "grad_norm": 101.19218444824219,
413
+ "learning_rate": 4.22e-06,
414
+ "loss": 2.3322,
415
+ "step": 2900
416
+ },
417
+ {
418
+ "epoch": 36.41975308641975,
419
+ "grad_norm": 97.59493255615234,
420
+ "learning_rate": 4.12e-06,
421
+ "loss": 2.3189,
422
+ "step": 2950
423
+ },
424
+ {
425
+ "epoch": 37.03703703703704,
426
+ "grad_norm": 50.98225784301758,
427
+ "learning_rate": 4.0200000000000005e-06,
428
+ "loss": 2.3337,
429
+ "step": 3000
430
+ },
431
+ {
432
+ "epoch": 37.65432098765432,
433
+ "grad_norm": 78.88179016113281,
434
+ "learning_rate": 3.920000000000001e-06,
435
+ "loss": 2.3707,
436
+ "step": 3050
437
+ },
438
+ {
439
+ "epoch": 38.27160493827161,
440
+ "grad_norm": 136.63319396972656,
441
+ "learning_rate": 3.820000000000001e-06,
442
+ "loss": 2.2602,
443
+ "step": 3100
444
+ },
445
+ {
446
+ "epoch": 38.888888888888886,
447
+ "grad_norm": 87.68150329589844,
448
+ "learning_rate": 3.7200000000000004e-06,
449
+ "loss": 2.3111,
450
+ "step": 3150
451
+ },
452
+ {
453
+ "epoch": 39.50617283950617,
454
+ "grad_norm": 179.4459686279297,
455
+ "learning_rate": 3.62e-06,
456
+ "loss": 2.3092,
457
+ "step": 3200
458
+ },
459
+ {
460
+ "epoch": 40.123456790123456,
461
+ "grad_norm": 76.10836791992188,
462
+ "learning_rate": 3.52e-06,
463
+ "loss": 2.3029,
464
+ "step": 3250
465
+ },
466
+ {
467
+ "epoch": 40.74074074074074,
468
+ "grad_norm": 85.23873901367188,
469
+ "learning_rate": 3.4200000000000007e-06,
470
+ "loss": 2.2699,
471
+ "step": 3300
472
+ },
473
+ {
474
+ "epoch": 41.358024691358025,
475
+ "grad_norm": 156.77699279785156,
476
+ "learning_rate": 3.3200000000000004e-06,
477
+ "loss": 2.2795,
478
+ "step": 3350
479
+ },
480
+ {
481
+ "epoch": 41.97530864197531,
482
+ "grad_norm": 87.01202392578125,
483
+ "learning_rate": 3.2200000000000005e-06,
484
+ "loss": 2.2961,
485
+ "step": 3400
486
+ },
487
+ {
488
+ "epoch": 42.592592592592595,
489
+ "grad_norm": 208.42947387695312,
490
+ "learning_rate": 3.12e-06,
491
+ "loss": 2.2692,
492
+ "step": 3450
493
+ },
494
+ {
495
+ "epoch": 43.20987654320987,
496
+ "grad_norm": 82.78223419189453,
497
+ "learning_rate": 3.0200000000000003e-06,
498
+ "loss": 2.2482,
499
+ "step": 3500
500
+ },
501
+ {
502
+ "epoch": 43.82716049382716,
503
+ "grad_norm": 110.6844482421875,
504
+ "learning_rate": 2.92e-06,
505
+ "loss": 2.2755,
506
+ "step": 3550
507
+ },
508
+ {
509
+ "epoch": 44.44444444444444,
510
+ "grad_norm": 57.944942474365234,
511
+ "learning_rate": 2.82e-06,
512
+ "loss": 2.302,
513
+ "step": 3600
514
+ },
515
+ {
516
+ "epoch": 45.06172839506173,
517
+ "grad_norm": 72.0767593383789,
518
+ "learning_rate": 2.7200000000000002e-06,
519
+ "loss": 2.2305,
520
+ "step": 3650
521
+ },
522
+ {
523
+ "epoch": 45.67901234567901,
524
+ "grad_norm": 154.40426635742188,
525
+ "learning_rate": 2.6200000000000003e-06,
526
+ "loss": 2.2532,
527
+ "step": 3700
528
+ },
529
+ {
530
+ "epoch": 46.2962962962963,
531
+ "grad_norm": 112.4802017211914,
532
+ "learning_rate": 2.52e-06,
533
+ "loss": 2.2596,
534
+ "step": 3750
535
+ },
536
+ {
537
+ "epoch": 46.91358024691358,
538
+ "grad_norm": 97.9261245727539,
539
+ "learning_rate": 2.42e-06,
540
+ "loss": 2.2296,
541
+ "step": 3800
542
+ }
543
+ ],
544
+ "logging_steps": 50,
545
+ "max_steps": 5000,
546
+ "num_input_tokens_seen": 0,
547
+ "num_train_epochs": 62,
548
+ "save_steps": 100,
549
+ "stateful_callbacks": {
550
+ "TrainerControl": {
551
+ "args": {
552
+ "should_epoch_stop": false,
553
+ "should_evaluate": false,
554
+ "should_log": false,
555
+ "should_save": true,
556
+ "should_training_stop": false
557
+ },
558
+ "attributes": {}
559
+ }
560
+ },
561
+ "total_flos": 1.4525240315904e+19,
562
+ "train_batch_size": 8,
563
+ "trial_name": null,
564
+ "trial_params": null
565
+ }
checkpoint-3800/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4dae0b4d732b15d565b589748a29a09a17e2ddd7d7ab9df017470bce43888a34
3
+ size 5240