kevinoli commited on
Commit
335597f
1 Parent(s): d977738

Training in progress, step 23000, checkpoint

Browse files
checkpoint-23000/config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "openai/clip-vit-large-patch14-336",
3
+ "architectures": [
4
+ "CLIPModel"
5
+ ],
6
+ "initializer_factor": 1.0,
7
+ "logit_scale_init_value": 2.6592,
8
+ "model_type": "clip",
9
+ "projection_dim": 768,
10
+ "text_config": {
11
+ "dropout": 0.0,
12
+ "hidden_size": 768,
13
+ "intermediate_size": 3072,
14
+ "model_type": "clip_text_model",
15
+ "num_attention_heads": 12,
16
+ "projection_dim": 768
17
+ },
18
+ "torch_dtype": "float32",
19
+ "transformers_version": "4.45.0.dev0",
20
+ "vision_config": {
21
+ "dropout": 0.0,
22
+ "hidden_size": 1024,
23
+ "image_size": 336,
24
+ "intermediate_size": 4096,
25
+ "model_type": "clip_vision_model",
26
+ "num_attention_heads": 16,
27
+ "num_hidden_layers": 24,
28
+ "patch_size": 14,
29
+ "projection_dim": 768
30
+ }
31
+ }
checkpoint-23000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f36d757b79875ee080885e8ed8c2bc28177732ccbdd63e89b6dfd4ba94d89df
3
+ size 1711848436
checkpoint-23000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b6df1a6dad5cec4af046fd91262b858990eb4ec199274aff55a8cf975d1d9d9
3
+ size 3424043887
checkpoint-23000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:808a643a84510ed5faf1ca887880b5fa202c1a5fa5442b2da6283dd4ccf04802
3
+ size 14503
checkpoint-23000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3430f4cdb287af9eabdac9c7d54be5f3a88bb9f47ed3a0124efba175bf402aeb
3
+ size 623
checkpoint-23000/trainer_state.json ADDED
@@ -0,0 +1,723 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.874836266040802,
3
+ "best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e3l58-l/checkpoint-23000",
4
+ "epoch": 2.453071672354949,
5
+ "eval_steps": 500,
6
+ "global_step": 23000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05332764505119454,
13
+ "grad_norm": 217.40109252929688,
14
+ "learning_rate": 4.911120591581342e-08,
15
+ "loss": 0.4667,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.05332764505119454,
20
+ "eval_loss": 1.4427576065063477,
21
+ "eval_runtime": 60.328,
22
+ "eval_samples_per_second": 16.361,
23
+ "eval_steps_per_second": 2.055,
24
+ "step": 500
25
+ },
26
+ {
27
+ "epoch": 0.10665529010238908,
28
+ "grad_norm": 70.38941955566406,
29
+ "learning_rate": 4.822241183162685e-08,
30
+ "loss": 0.4534,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.10665529010238908,
35
+ "eval_loss": 1.3823094367980957,
36
+ "eval_runtime": 61.4884,
37
+ "eval_samples_per_second": 16.052,
38
+ "eval_steps_per_second": 2.017,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.1599829351535836,
43
+ "grad_norm": 389.9967956542969,
44
+ "learning_rate": 4.733361774744027e-08,
45
+ "loss": 0.3753,
46
+ "step": 1500
47
+ },
48
+ {
49
+ "epoch": 0.1599829351535836,
50
+ "eval_loss": 1.3328827619552612,
51
+ "eval_runtime": 63.0378,
52
+ "eval_samples_per_second": 15.657,
53
+ "eval_steps_per_second": 1.967,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 0.21331058020477817,
58
+ "grad_norm": 13.427445411682129,
59
+ "learning_rate": 4.6444823663253694e-08,
60
+ "loss": 0.3361,
61
+ "step": 2000
62
+ },
63
+ {
64
+ "epoch": 0.21331058020477817,
65
+ "eval_loss": 1.2922736406326294,
66
+ "eval_runtime": 63.1958,
67
+ "eval_samples_per_second": 15.618,
68
+ "eval_steps_per_second": 1.962,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.2666382252559727,
73
+ "grad_norm": 320.7197265625,
74
+ "learning_rate": 4.555602957906712e-08,
75
+ "loss": 0.3597,
76
+ "step": 2500
77
+ },
78
+ {
79
+ "epoch": 0.2666382252559727,
80
+ "eval_loss": 1.257211685180664,
81
+ "eval_runtime": 63.3241,
82
+ "eval_samples_per_second": 15.586,
83
+ "eval_steps_per_second": 1.958,
84
+ "step": 2500
85
+ },
86
+ {
87
+ "epoch": 0.3199658703071672,
88
+ "grad_norm": 0.0019184721168130636,
89
+ "learning_rate": 4.4667235494880546e-08,
90
+ "loss": 0.3042,
91
+ "step": 3000
92
+ },
93
+ {
94
+ "epoch": 0.3199658703071672,
95
+ "eval_loss": 1.2240594625473022,
96
+ "eval_runtime": 63.5118,
97
+ "eval_samples_per_second": 15.54,
98
+ "eval_steps_per_second": 1.952,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.37329351535836175,
103
+ "grad_norm": 11.738512992858887,
104
+ "learning_rate": 4.3778441410693965e-08,
105
+ "loss": 0.3252,
106
+ "step": 3500
107
+ },
108
+ {
109
+ "epoch": 0.37329351535836175,
110
+ "eval_loss": 1.1988952159881592,
111
+ "eval_runtime": 63.5384,
112
+ "eval_samples_per_second": 15.534,
113
+ "eval_steps_per_second": 1.952,
114
+ "step": 3500
115
+ },
116
+ {
117
+ "epoch": 0.42662116040955633,
118
+ "grad_norm": 5.839956283569336,
119
+ "learning_rate": 4.28896473265074e-08,
120
+ "loss": 0.2439,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.42662116040955633,
125
+ "eval_loss": 1.1730674505233765,
126
+ "eval_runtime": 62.3497,
127
+ "eval_samples_per_second": 15.83,
128
+ "eval_steps_per_second": 1.989,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 0.47994880546075086,
133
+ "grad_norm": 154.76502990722656,
134
+ "learning_rate": 4.2000853242320816e-08,
135
+ "loss": 0.3004,
136
+ "step": 4500
137
+ },
138
+ {
139
+ "epoch": 0.47994880546075086,
140
+ "eval_loss": 1.1497682332992554,
141
+ "eval_runtime": 63.5491,
142
+ "eval_samples_per_second": 15.531,
143
+ "eval_steps_per_second": 1.951,
144
+ "step": 4500
145
+ },
146
+ {
147
+ "epoch": 0.5332764505119454,
148
+ "grad_norm": 0.13150489330291748,
149
+ "learning_rate": 4.111205915813424e-08,
150
+ "loss": 0.3205,
151
+ "step": 5000
152
+ },
153
+ {
154
+ "epoch": 0.5332764505119454,
155
+ "eval_loss": 1.1258739233016968,
156
+ "eval_runtime": 62.1884,
157
+ "eval_samples_per_second": 15.871,
158
+ "eval_steps_per_second": 1.994,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 0.58660409556314,
163
+ "grad_norm": 0.3719326853752136,
164
+ "learning_rate": 4.022326507394767e-08,
165
+ "loss": 0.3091,
166
+ "step": 5500
167
+ },
168
+ {
169
+ "epoch": 0.58660409556314,
170
+ "eval_loss": 1.1053005456924438,
171
+ "eval_runtime": 63.437,
172
+ "eval_samples_per_second": 15.559,
173
+ "eval_steps_per_second": 1.955,
174
+ "step": 5500
175
+ },
176
+ {
177
+ "epoch": 0.6399317406143344,
178
+ "grad_norm": 170.89846801757812,
179
+ "learning_rate": 3.9334470989761093e-08,
180
+ "loss": 0.2657,
181
+ "step": 6000
182
+ },
183
+ {
184
+ "epoch": 0.6399317406143344,
185
+ "eval_loss": 1.0857468843460083,
186
+ "eval_runtime": 62.4055,
187
+ "eval_samples_per_second": 15.816,
188
+ "eval_steps_per_second": 1.987,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 0.693259385665529,
193
+ "grad_norm": 323.0997619628906,
194
+ "learning_rate": 3.844567690557451e-08,
195
+ "loss": 0.2251,
196
+ "step": 6500
197
+ },
198
+ {
199
+ "epoch": 0.693259385665529,
200
+ "eval_loss": 1.0695208311080933,
201
+ "eval_runtime": 63.1085,
202
+ "eval_samples_per_second": 15.64,
203
+ "eval_steps_per_second": 1.965,
204
+ "step": 6500
205
+ },
206
+ {
207
+ "epoch": 0.7465870307167235,
208
+ "grad_norm": 0.13254186511039734,
209
+ "learning_rate": 3.7556882821387945e-08,
210
+ "loss": 0.248,
211
+ "step": 7000
212
+ },
213
+ {
214
+ "epoch": 0.7465870307167235,
215
+ "eval_loss": 1.0535719394683838,
216
+ "eval_runtime": 62.3504,
217
+ "eval_samples_per_second": 15.83,
218
+ "eval_steps_per_second": 1.989,
219
+ "step": 7000
220
+ },
221
+ {
222
+ "epoch": 0.7999146757679181,
223
+ "grad_norm": 63.14700698852539,
224
+ "learning_rate": 3.6668088737201364e-08,
225
+ "loss": 0.2745,
226
+ "step": 7500
227
+ },
228
+ {
229
+ "epoch": 0.7999146757679181,
230
+ "eval_loss": 1.0388950109481812,
231
+ "eval_runtime": 62.2311,
232
+ "eval_samples_per_second": 15.86,
233
+ "eval_steps_per_second": 1.993,
234
+ "step": 7500
235
+ },
236
+ {
237
+ "epoch": 0.8532423208191127,
238
+ "grad_norm": 623.6299438476562,
239
+ "learning_rate": 3.577929465301478e-08,
240
+ "loss": 0.2857,
241
+ "step": 8000
242
+ },
243
+ {
244
+ "epoch": 0.8532423208191127,
245
+ "eval_loss": 1.0260424613952637,
246
+ "eval_runtime": 62.2792,
247
+ "eval_samples_per_second": 15.848,
248
+ "eval_steps_per_second": 1.991,
249
+ "step": 8000
250
+ },
251
+ {
252
+ "epoch": 0.9065699658703071,
253
+ "grad_norm": 155.54579162597656,
254
+ "learning_rate": 3.4890500568828216e-08,
255
+ "loss": 0.2365,
256
+ "step": 8500
257
+ },
258
+ {
259
+ "epoch": 0.9065699658703071,
260
+ "eval_loss": 1.0136038064956665,
261
+ "eval_runtime": 62.583,
262
+ "eval_samples_per_second": 15.771,
263
+ "eval_steps_per_second": 1.981,
264
+ "step": 8500
265
+ },
266
+ {
267
+ "epoch": 0.9598976109215017,
268
+ "grad_norm": 76.14079284667969,
269
+ "learning_rate": 3.4001706484641635e-08,
270
+ "loss": 0.2382,
271
+ "step": 9000
272
+ },
273
+ {
274
+ "epoch": 0.9598976109215017,
275
+ "eval_loss": 1.0034172534942627,
276
+ "eval_runtime": 63.5592,
277
+ "eval_samples_per_second": 15.529,
278
+ "eval_steps_per_second": 1.951,
279
+ "step": 9000
280
+ },
281
+ {
282
+ "epoch": 1.0132252559726962,
283
+ "grad_norm": 571.6434936523438,
284
+ "learning_rate": 3.311291240045506e-08,
285
+ "loss": 0.2419,
286
+ "step": 9500
287
+ },
288
+ {
289
+ "epoch": 1.0132252559726962,
290
+ "eval_loss": 0.994463324546814,
291
+ "eval_runtime": 61.8407,
292
+ "eval_samples_per_second": 15.96,
293
+ "eval_steps_per_second": 2.005,
294
+ "step": 9500
295
+ },
296
+ {
297
+ "epoch": 1.0665529010238908,
298
+ "grad_norm": 540.1460571289062,
299
+ "learning_rate": 3.2224118316268486e-08,
300
+ "loss": 0.2047,
301
+ "step": 10000
302
+ },
303
+ {
304
+ "epoch": 1.0665529010238908,
305
+ "eval_loss": 0.9851205348968506,
306
+ "eval_runtime": 62.1686,
307
+ "eval_samples_per_second": 15.876,
308
+ "eval_steps_per_second": 1.995,
309
+ "step": 10000
310
+ },
311
+ {
312
+ "epoch": 1.1198805460750854,
313
+ "grad_norm": 6.2389655113220215,
314
+ "learning_rate": 3.133532423208191e-08,
315
+ "loss": 0.2133,
316
+ "step": 10500
317
+ },
318
+ {
319
+ "epoch": 1.1198805460750854,
320
+ "eval_loss": 0.9759647250175476,
321
+ "eval_runtime": 62.8691,
322
+ "eval_samples_per_second": 15.699,
323
+ "eval_steps_per_second": 1.972,
324
+ "step": 10500
325
+ },
326
+ {
327
+ "epoch": 1.17320819112628,
328
+ "grad_norm": 321.5069885253906,
329
+ "learning_rate": 3.044653014789533e-08,
330
+ "loss": 0.207,
331
+ "step": 11000
332
+ },
333
+ {
334
+ "epoch": 1.17320819112628,
335
+ "eval_loss": 0.9683472514152527,
336
+ "eval_runtime": 61.915,
337
+ "eval_samples_per_second": 15.941,
338
+ "eval_steps_per_second": 2.003,
339
+ "step": 11000
340
+ },
341
+ {
342
+ "epoch": 1.2265358361774745,
343
+ "grad_norm": 0.0028632767498493195,
344
+ "learning_rate": 2.955773606370876e-08,
345
+ "loss": 0.2369,
346
+ "step": 11500
347
+ },
348
+ {
349
+ "epoch": 1.2265358361774745,
350
+ "eval_loss": 0.9597958922386169,
351
+ "eval_runtime": 62.4216,
352
+ "eval_samples_per_second": 15.812,
353
+ "eval_steps_per_second": 1.986,
354
+ "step": 11500
355
+ },
356
+ {
357
+ "epoch": 1.2798634812286689,
358
+ "grad_norm": 1.046075701713562,
359
+ "learning_rate": 2.8668941979522183e-08,
360
+ "loss": 0.1834,
361
+ "step": 12000
362
+ },
363
+ {
364
+ "epoch": 1.2798634812286689,
365
+ "eval_loss": 0.9528058767318726,
366
+ "eval_runtime": 62.9687,
367
+ "eval_samples_per_second": 15.674,
368
+ "eval_steps_per_second": 1.969,
369
+ "step": 12000
370
+ },
371
+ {
372
+ "epoch": 1.3331911262798635,
373
+ "grad_norm": 0.01093329768627882,
374
+ "learning_rate": 2.778014789533561e-08,
375
+ "loss": 0.2002,
376
+ "step": 12500
377
+ },
378
+ {
379
+ "epoch": 1.3331911262798635,
380
+ "eval_loss": 0.9465218782424927,
381
+ "eval_runtime": 62.0222,
382
+ "eval_samples_per_second": 15.914,
383
+ "eval_steps_per_second": 1.999,
384
+ "step": 12500
385
+ },
386
+ {
387
+ "epoch": 1.386518771331058,
388
+ "grad_norm": 0.13472874462604523,
389
+ "learning_rate": 2.689135381114903e-08,
390
+ "loss": 0.1918,
391
+ "step": 13000
392
+ },
393
+ {
394
+ "epoch": 1.386518771331058,
395
+ "eval_loss": 0.9417626857757568,
396
+ "eval_runtime": 62.4603,
397
+ "eval_samples_per_second": 15.802,
398
+ "eval_steps_per_second": 1.985,
399
+ "step": 13000
400
+ },
401
+ {
402
+ "epoch": 1.4398464163822526,
403
+ "grad_norm": 19.54829216003418,
404
+ "learning_rate": 2.600255972696246e-08,
405
+ "loss": 0.2264,
406
+ "step": 13500
407
+ },
408
+ {
409
+ "epoch": 1.4398464163822526,
410
+ "eval_loss": 0.9353039860725403,
411
+ "eval_runtime": 63.2324,
412
+ "eval_samples_per_second": 15.609,
413
+ "eval_steps_per_second": 1.961,
414
+ "step": 13500
415
+ },
416
+ {
417
+ "epoch": 1.493174061433447,
418
+ "grad_norm": 6.569502353668213,
419
+ "learning_rate": 2.511376564277588e-08,
420
+ "loss": 0.171,
421
+ "step": 14000
422
+ },
423
+ {
424
+ "epoch": 1.493174061433447,
425
+ "eval_loss": 0.930813729763031,
426
+ "eval_runtime": 61.9703,
427
+ "eval_samples_per_second": 15.927,
428
+ "eval_steps_per_second": 2.001,
429
+ "step": 14000
430
+ },
431
+ {
432
+ "epoch": 1.5465017064846416,
433
+ "grad_norm": 153.30908203125,
434
+ "learning_rate": 2.4224971558589305e-08,
435
+ "loss": 0.2029,
436
+ "step": 14500
437
+ },
438
+ {
439
+ "epoch": 1.5465017064846416,
440
+ "eval_loss": 0.9262459874153137,
441
+ "eval_runtime": 62.3851,
442
+ "eval_samples_per_second": 15.821,
443
+ "eval_steps_per_second": 1.988,
444
+ "step": 14500
445
+ },
446
+ {
447
+ "epoch": 1.5998293515358362,
448
+ "grad_norm": 578.005615234375,
449
+ "learning_rate": 2.333617747440273e-08,
450
+ "loss": 0.173,
451
+ "step": 15000
452
+ },
453
+ {
454
+ "epoch": 1.5998293515358362,
455
+ "eval_loss": 0.9224158525466919,
456
+ "eval_runtime": 63.0306,
457
+ "eval_samples_per_second": 15.659,
458
+ "eval_steps_per_second": 1.967,
459
+ "step": 15000
460
+ },
461
+ {
462
+ "epoch": 1.6531569965870307,
463
+ "grad_norm": 38.18622970581055,
464
+ "learning_rate": 2.2447383390216153e-08,
465
+ "loss": 0.2126,
466
+ "step": 15500
467
+ },
468
+ {
469
+ "epoch": 1.6531569965870307,
470
+ "eval_loss": 0.9170305132865906,
471
+ "eval_runtime": 61.9661,
472
+ "eval_samples_per_second": 15.928,
473
+ "eval_steps_per_second": 2.001,
474
+ "step": 15500
475
+ },
476
+ {
477
+ "epoch": 1.7064846416382253,
478
+ "grad_norm": 279.6297302246094,
479
+ "learning_rate": 2.155858930602958e-08,
480
+ "loss": 0.1933,
481
+ "step": 16000
482
+ },
483
+ {
484
+ "epoch": 1.7064846416382253,
485
+ "eval_loss": 0.9142164587974548,
486
+ "eval_runtime": 62.0524,
487
+ "eval_samples_per_second": 15.906,
488
+ "eval_steps_per_second": 1.998,
489
+ "step": 16000
490
+ },
491
+ {
492
+ "epoch": 1.75981228668942,
493
+ "grad_norm": 32.153900146484375,
494
+ "learning_rate": 2.0669795221843004e-08,
495
+ "loss": 0.1911,
496
+ "step": 16500
497
+ },
498
+ {
499
+ "epoch": 1.75981228668942,
500
+ "eval_loss": 0.9099463820457458,
501
+ "eval_runtime": 63.0816,
502
+ "eval_samples_per_second": 15.646,
503
+ "eval_steps_per_second": 1.966,
504
+ "step": 16500
505
+ },
506
+ {
507
+ "epoch": 1.8131399317406145,
508
+ "grad_norm": 1.433034062385559,
509
+ "learning_rate": 1.9781001137656427e-08,
510
+ "loss": 0.1809,
511
+ "step": 17000
512
+ },
513
+ {
514
+ "epoch": 1.8131399317406145,
515
+ "eval_loss": 0.9075033664703369,
516
+ "eval_runtime": 62.1223,
517
+ "eval_samples_per_second": 15.888,
518
+ "eval_steps_per_second": 1.996,
519
+ "step": 17000
520
+ },
521
+ {
522
+ "epoch": 1.8664675767918089,
523
+ "grad_norm": 211.28334045410156,
524
+ "learning_rate": 1.8892207053469853e-08,
525
+ "loss": 0.2699,
526
+ "step": 17500
527
+ },
528
+ {
529
+ "epoch": 1.8664675767918089,
530
+ "eval_loss": 0.9023045897483826,
531
+ "eval_runtime": 62.2896,
532
+ "eval_samples_per_second": 15.845,
533
+ "eval_steps_per_second": 1.991,
534
+ "step": 17500
535
+ },
536
+ {
537
+ "epoch": 1.9197952218430034,
538
+ "grad_norm": 0.22130072116851807,
539
+ "learning_rate": 1.800341296928328e-08,
540
+ "loss": 0.1682,
541
+ "step": 18000
542
+ },
543
+ {
544
+ "epoch": 1.9197952218430034,
545
+ "eval_loss": 0.8992673754692078,
546
+ "eval_runtime": 63.0217,
547
+ "eval_samples_per_second": 15.661,
548
+ "eval_steps_per_second": 1.968,
549
+ "step": 18000
550
+ },
551
+ {
552
+ "epoch": 1.9731228668941978,
553
+ "grad_norm": 463.95916748046875,
554
+ "learning_rate": 1.7114618885096697e-08,
555
+ "loss": 0.2248,
556
+ "step": 18500
557
+ },
558
+ {
559
+ "epoch": 1.9731228668941978,
560
+ "eval_loss": 0.8949461579322815,
561
+ "eval_runtime": 62.3865,
562
+ "eval_samples_per_second": 15.821,
563
+ "eval_steps_per_second": 1.988,
564
+ "step": 18500
565
+ },
566
+ {
567
+ "epoch": 2.0264505119453924,
568
+ "grad_norm": 257.9815979003906,
569
+ "learning_rate": 1.6225824800910123e-08,
570
+ "loss": 0.1892,
571
+ "step": 19000
572
+ },
573
+ {
574
+ "epoch": 2.0264505119453924,
575
+ "eval_loss": 0.892412543296814,
576
+ "eval_runtime": 62.3214,
577
+ "eval_samples_per_second": 15.837,
578
+ "eval_steps_per_second": 1.99,
579
+ "step": 19000
580
+ },
581
+ {
582
+ "epoch": 2.079778156996587,
583
+ "grad_norm": 50.01844787597656,
584
+ "learning_rate": 1.533703071672355e-08,
585
+ "loss": 0.1907,
586
+ "step": 19500
587
+ },
588
+ {
589
+ "epoch": 2.079778156996587,
590
+ "eval_loss": 0.8893100619316101,
591
+ "eval_runtime": 62.9983,
592
+ "eval_samples_per_second": 15.667,
593
+ "eval_steps_per_second": 1.968,
594
+ "step": 19500
595
+ },
596
+ {
597
+ "epoch": 2.1331058020477816,
598
+ "grad_norm": 1.0831713676452637,
599
+ "learning_rate": 1.4448236632536973e-08,
600
+ "loss": 0.1661,
601
+ "step": 20000
602
+ },
603
+ {
604
+ "epoch": 2.1331058020477816,
605
+ "eval_loss": 0.887154757976532,
606
+ "eval_runtime": 62.2417,
607
+ "eval_samples_per_second": 15.858,
608
+ "eval_steps_per_second": 1.992,
609
+ "step": 20000
610
+ },
611
+ {
612
+ "epoch": 2.186433447098976,
613
+ "grad_norm": 0.08456582576036453,
614
+ "learning_rate": 1.3559442548350397e-08,
615
+ "loss": 0.1852,
616
+ "step": 20500
617
+ },
618
+ {
619
+ "epoch": 2.186433447098976,
620
+ "eval_loss": 0.8855507969856262,
621
+ "eval_runtime": 61.7252,
622
+ "eval_samples_per_second": 15.99,
623
+ "eval_steps_per_second": 2.009,
624
+ "step": 20500
625
+ },
626
+ {
627
+ "epoch": 2.2397610921501707,
628
+ "grad_norm": 19.829164505004883,
629
+ "learning_rate": 1.2670648464163821e-08,
630
+ "loss": 0.1561,
631
+ "step": 21000
632
+ },
633
+ {
634
+ "epoch": 2.2397610921501707,
635
+ "eval_loss": 0.8829911947250366,
636
+ "eval_runtime": 62.7443,
637
+ "eval_samples_per_second": 15.731,
638
+ "eval_steps_per_second": 1.976,
639
+ "step": 21000
640
+ },
641
+ {
642
+ "epoch": 2.2930887372013653,
643
+ "grad_norm": 0.12170098721981049,
644
+ "learning_rate": 1.1781854379977247e-08,
645
+ "loss": 0.2146,
646
+ "step": 21500
647
+ },
648
+ {
649
+ "epoch": 2.2930887372013653,
650
+ "eval_loss": 0.8807759881019592,
651
+ "eval_runtime": 62.1264,
652
+ "eval_samples_per_second": 15.887,
653
+ "eval_steps_per_second": 1.996,
654
+ "step": 21500
655
+ },
656
+ {
657
+ "epoch": 2.34641638225256,
658
+ "grad_norm": 0.0019679605029523373,
659
+ "learning_rate": 1.0893060295790671e-08,
660
+ "loss": 0.16,
661
+ "step": 22000
662
+ },
663
+ {
664
+ "epoch": 2.34641638225256,
665
+ "eval_loss": 0.8785866498947144,
666
+ "eval_runtime": 62.1778,
667
+ "eval_samples_per_second": 15.874,
668
+ "eval_steps_per_second": 1.994,
669
+ "step": 22000
670
+ },
671
+ {
672
+ "epoch": 2.399744027303754,
673
+ "grad_norm": 0.0032679687719792128,
674
+ "learning_rate": 1.0004266211604095e-08,
675
+ "loss": 0.1904,
676
+ "step": 22500
677
+ },
678
+ {
679
+ "epoch": 2.399744027303754,
680
+ "eval_loss": 0.8765972852706909,
681
+ "eval_runtime": 63.05,
682
+ "eval_samples_per_second": 15.654,
683
+ "eval_steps_per_second": 1.967,
684
+ "step": 22500
685
+ },
686
+ {
687
+ "epoch": 2.453071672354949,
688
+ "grad_norm": 0.3566090762615204,
689
+ "learning_rate": 9.11547212741752e-09,
690
+ "loss": 0.1746,
691
+ "step": 23000
692
+ },
693
+ {
694
+ "epoch": 2.453071672354949,
695
+ "eval_loss": 0.874836266040802,
696
+ "eval_runtime": 62.6532,
697
+ "eval_samples_per_second": 15.753,
698
+ "eval_steps_per_second": 1.979,
699
+ "step": 23000
700
+ }
701
+ ],
702
+ "logging_steps": 500,
703
+ "max_steps": 28128,
704
+ "num_input_tokens_seen": 0,
705
+ "num_train_epochs": 3,
706
+ "save_steps": 500,
707
+ "stateful_callbacks": {
708
+ "TrainerControl": {
709
+ "args": {
710
+ "should_epoch_stop": false,
711
+ "should_evaluate": false,
712
+ "should_log": false,
713
+ "should_save": true,
714
+ "should_training_stop": false
715
+ },
716
+ "attributes": {}
717
+ }
718
+ },
719
+ "total_flos": 8275161595682520.0,
720
+ "train_batch_size": 2,
721
+ "trial_name": null,
722
+ "trial_params": null
723
+ }
checkpoint-23000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:590a3eed3f4b2ba9fcb0b831d5e4c3f2410a46be8f57155ebf9fdd97c6c96524
3
+ size 4847