kevinoli commited on
Commit
e72ee33
1 Parent(s): 242b539

Training in progress, step 12500, checkpoint

Browse files
checkpoint-12500/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-12500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7e3fd16099426455efff4833878caa460e12cddbef8c5955642c3ab32d885b6
3
+ size 1711848436
checkpoint-12500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f50d8c0ef2e89b80e7aa4210d2b7c14af0e71a9d4cfa797b8fc1a99be05bc57
3
+ size 3424043887
checkpoint-12500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db030b30be6b93c99db6305a4a98097d55df00d054b7ea5674087844c194270b
3
+ size 14503
checkpoint-12500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ea02033f794b39b2796c8b06730a737bdd358bf661c368a409741348b1b636e
3
+ size 623
checkpoint-12500/trainer_state.json ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7920646667480469,
3
+ "best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e3l17-l/checkpoint-12500",
4
+ "epoch": 1.3331911262798635,
5
+ "eval_steps": 500,
6
+ "global_step": 12500,
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": 246.1711883544922,
14
+ "learning_rate": 9.822241183162683e-08,
15
+ "loss": 0.4515,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.05332764505119454,
20
+ "eval_loss": 1.3850886821746826,
21
+ "eval_runtime": 63.8439,
22
+ "eval_samples_per_second": 15.46,
23
+ "eval_steps_per_second": 1.942,
24
+ "step": 500
25
+ },
26
+ {
27
+ "epoch": 0.10665529010238908,
28
+ "grad_norm": 81.48503875732422,
29
+ "learning_rate": 9.64448236632537e-08,
30
+ "loss": 0.4148,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.10665529010238908,
35
+ "eval_loss": 1.284144401550293,
36
+ "eval_runtime": 63.853,
37
+ "eval_samples_per_second": 15.457,
38
+ "eval_steps_per_second": 1.942,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.1599829351535836,
43
+ "grad_norm": 718.367919921875,
44
+ "learning_rate": 9.466723549488054e-08,
45
+ "loss": 0.3281,
46
+ "step": 1500
47
+ },
48
+ {
49
+ "epoch": 0.1599829351535836,
50
+ "eval_loss": 1.2112621068954468,
51
+ "eval_runtime": 64.127,
52
+ "eval_samples_per_second": 15.391,
53
+ "eval_steps_per_second": 1.934,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 0.21331058020477817,
58
+ "grad_norm": 4.5923566818237305,
59
+ "learning_rate": 9.288964732650739e-08,
60
+ "loss": 0.2912,
61
+ "step": 2000
62
+ },
63
+ {
64
+ "epoch": 0.21331058020477817,
65
+ "eval_loss": 1.159011960029602,
66
+ "eval_runtime": 63.7062,
67
+ "eval_samples_per_second": 15.493,
68
+ "eval_steps_per_second": 1.946,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.2666382252559727,
73
+ "grad_norm": 319.4483642578125,
74
+ "learning_rate": 9.111205915813424e-08,
75
+ "loss": 0.3073,
76
+ "step": 2500
77
+ },
78
+ {
79
+ "epoch": 0.2666382252559727,
80
+ "eval_loss": 1.1095446348190308,
81
+ "eval_runtime": 63.9925,
82
+ "eval_samples_per_second": 15.424,
83
+ "eval_steps_per_second": 1.938,
84
+ "step": 2500
85
+ },
86
+ {
87
+ "epoch": 0.3199658703071672,
88
+ "grad_norm": 0.00027541385497897863,
89
+ "learning_rate": 8.933447098976109e-08,
90
+ "loss": 0.2446,
91
+ "step": 3000
92
+ },
93
+ {
94
+ "epoch": 0.3199658703071672,
95
+ "eval_loss": 1.069318175315857,
96
+ "eval_runtime": 64.1107,
97
+ "eval_samples_per_second": 15.395,
98
+ "eval_steps_per_second": 1.934,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.37329351535836175,
103
+ "grad_norm": 5.2035698890686035,
104
+ "learning_rate": 8.755688282138793e-08,
105
+ "loss": 0.273,
106
+ "step": 3500
107
+ },
108
+ {
109
+ "epoch": 0.37329351535836175,
110
+ "eval_loss": 1.043074369430542,
111
+ "eval_runtime": 63.9447,
112
+ "eval_samples_per_second": 15.435,
113
+ "eval_steps_per_second": 1.939,
114
+ "step": 3500
115
+ },
116
+ {
117
+ "epoch": 0.42662116040955633,
118
+ "grad_norm": 3.6792104244232178,
119
+ "learning_rate": 8.57792946530148e-08,
120
+ "loss": 0.193,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.42662116040955633,
125
+ "eval_loss": 1.0195527076721191,
126
+ "eval_runtime": 63.8076,
127
+ "eval_samples_per_second": 15.468,
128
+ "eval_steps_per_second": 1.943,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 0.47994880546075086,
133
+ "grad_norm": 111.2447280883789,
134
+ "learning_rate": 8.400170648464163e-08,
135
+ "loss": 0.2419,
136
+ "step": 4500
137
+ },
138
+ {
139
+ "epoch": 0.47994880546075086,
140
+ "eval_loss": 0.9946303963661194,
141
+ "eval_runtime": 63.8873,
142
+ "eval_samples_per_second": 15.449,
143
+ "eval_steps_per_second": 1.941,
144
+ "step": 4500
145
+ },
146
+ {
147
+ "epoch": 0.5332764505119454,
148
+ "grad_norm": 0.024256089702248573,
149
+ "learning_rate": 8.222411831626848e-08,
150
+ "loss": 0.2577,
151
+ "step": 5000
152
+ },
153
+ {
154
+ "epoch": 0.5332764505119454,
155
+ "eval_loss": 0.9679088592529297,
156
+ "eval_runtime": 62.896,
157
+ "eval_samples_per_second": 15.693,
158
+ "eval_steps_per_second": 1.972,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 0.58660409556314,
163
+ "grad_norm": 0.05403488501906395,
164
+ "learning_rate": 8.044653014789534e-08,
165
+ "loss": 0.2468,
166
+ "step": 5500
167
+ },
168
+ {
169
+ "epoch": 0.58660409556314,
170
+ "eval_loss": 0.9470070004463196,
171
+ "eval_runtime": 64.2367,
172
+ "eval_samples_per_second": 15.365,
173
+ "eval_steps_per_second": 1.93,
174
+ "step": 5500
175
+ },
176
+ {
177
+ "epoch": 0.6399317406143344,
178
+ "grad_norm": 56.23408508300781,
179
+ "learning_rate": 7.866894197952219e-08,
180
+ "loss": 0.2148,
181
+ "step": 6000
182
+ },
183
+ {
184
+ "epoch": 0.6399317406143344,
185
+ "eval_loss": 0.9275079369544983,
186
+ "eval_runtime": 62.7425,
187
+ "eval_samples_per_second": 15.731,
188
+ "eval_steps_per_second": 1.976,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 0.693259385665529,
193
+ "grad_norm": 335.7691955566406,
194
+ "learning_rate": 7.689135381114903e-08,
195
+ "loss": 0.179,
196
+ "step": 6500
197
+ },
198
+ {
199
+ "epoch": 0.693259385665529,
200
+ "eval_loss": 0.9107733964920044,
201
+ "eval_runtime": 63.711,
202
+ "eval_samples_per_second": 15.492,
203
+ "eval_steps_per_second": 1.946,
204
+ "step": 6500
205
+ },
206
+ {
207
+ "epoch": 0.7465870307167235,
208
+ "grad_norm": 0.0303946640342474,
209
+ "learning_rate": 7.511376564277589e-08,
210
+ "loss": 0.1992,
211
+ "step": 7000
212
+ },
213
+ {
214
+ "epoch": 0.7465870307167235,
215
+ "eval_loss": 0.8946455121040344,
216
+ "eval_runtime": 62.7465,
217
+ "eval_samples_per_second": 15.73,
218
+ "eval_steps_per_second": 1.976,
219
+ "step": 7000
220
+ },
221
+ {
222
+ "epoch": 0.7999146757679181,
223
+ "grad_norm": 24.27122688293457,
224
+ "learning_rate": 7.333617747440273e-08,
225
+ "loss": 0.2264,
226
+ "step": 7500
227
+ },
228
+ {
229
+ "epoch": 0.7999146757679181,
230
+ "eval_loss": 0.8790715932846069,
231
+ "eval_runtime": 62.625,
232
+ "eval_samples_per_second": 15.76,
233
+ "eval_steps_per_second": 1.98,
234
+ "step": 7500
235
+ },
236
+ {
237
+ "epoch": 0.8532423208191127,
238
+ "grad_norm": 485.13018798828125,
239
+ "learning_rate": 7.155858930602957e-08,
240
+ "loss": 0.2349,
241
+ "step": 8000
242
+ },
243
+ {
244
+ "epoch": 0.8532423208191127,
245
+ "eval_loss": 0.8648595213890076,
246
+ "eval_runtime": 63.4718,
247
+ "eval_samples_per_second": 15.55,
248
+ "eval_steps_per_second": 1.954,
249
+ "step": 8000
250
+ },
251
+ {
252
+ "epoch": 0.9065699658703071,
253
+ "grad_norm": 39.18803787231445,
254
+ "learning_rate": 6.978100113765643e-08,
255
+ "loss": 0.1869,
256
+ "step": 8500
257
+ },
258
+ {
259
+ "epoch": 0.9065699658703071,
260
+ "eval_loss": 0.8521347641944885,
261
+ "eval_runtime": 62.649,
262
+ "eval_samples_per_second": 15.754,
263
+ "eval_steps_per_second": 1.979,
264
+ "step": 8500
265
+ },
266
+ {
267
+ "epoch": 0.9598976109215017,
268
+ "grad_norm": 15.91203784942627,
269
+ "learning_rate": 6.800341296928327e-08,
270
+ "loss": 0.1859,
271
+ "step": 9000
272
+ },
273
+ {
274
+ "epoch": 0.9598976109215017,
275
+ "eval_loss": 0.8395125269889832,
276
+ "eval_runtime": 63.1398,
277
+ "eval_samples_per_second": 15.632,
278
+ "eval_steps_per_second": 1.964,
279
+ "step": 9000
280
+ },
281
+ {
282
+ "epoch": 1.0132252559726962,
283
+ "grad_norm": 545.9375610351562,
284
+ "learning_rate": 6.622582480091012e-08,
285
+ "loss": 0.1943,
286
+ "step": 9500
287
+ },
288
+ {
289
+ "epoch": 1.0132252559726962,
290
+ "eval_loss": 0.8300319910049438,
291
+ "eval_runtime": 63.2047,
292
+ "eval_samples_per_second": 15.616,
293
+ "eval_steps_per_second": 1.962,
294
+ "step": 9500
295
+ },
296
+ {
297
+ "epoch": 1.0665529010238908,
298
+ "grad_norm": 451.04473876953125,
299
+ "learning_rate": 6.444823663253697e-08,
300
+ "loss": 0.1419,
301
+ "step": 10000
302
+ },
303
+ {
304
+ "epoch": 1.0665529010238908,
305
+ "eval_loss": 0.8227387070655823,
306
+ "eval_runtime": 62.7357,
307
+ "eval_samples_per_second": 15.733,
308
+ "eval_steps_per_second": 1.977,
309
+ "step": 10000
310
+ },
311
+ {
312
+ "epoch": 1.1198805460750854,
313
+ "grad_norm": 12.075934410095215,
314
+ "learning_rate": 6.267064846416382e-08,
315
+ "loss": 0.1558,
316
+ "step": 10500
317
+ },
318
+ {
319
+ "epoch": 1.1198805460750854,
320
+ "eval_loss": 0.8159177303314209,
321
+ "eval_runtime": 62.8297,
322
+ "eval_samples_per_second": 15.709,
323
+ "eval_steps_per_second": 1.974,
324
+ "step": 10500
325
+ },
326
+ {
327
+ "epoch": 1.17320819112628,
328
+ "grad_norm": 363.5056457519531,
329
+ "learning_rate": 6.089306029579066e-08,
330
+ "loss": 0.15,
331
+ "step": 11000
332
+ },
333
+ {
334
+ "epoch": 1.17320819112628,
335
+ "eval_loss": 0.8096186518669128,
336
+ "eval_runtime": 63.3529,
337
+ "eval_samples_per_second": 15.579,
338
+ "eval_steps_per_second": 1.957,
339
+ "step": 11000
340
+ },
341
+ {
342
+ "epoch": 1.2265358361774745,
343
+ "grad_norm": 6.587007646885468e-06,
344
+ "learning_rate": 5.911547212741752e-08,
345
+ "loss": 0.1919,
346
+ "step": 11500
347
+ },
348
+ {
349
+ "epoch": 1.2265358361774745,
350
+ "eval_loss": 0.8023524284362793,
351
+ "eval_runtime": 62.9393,
352
+ "eval_samples_per_second": 15.682,
353
+ "eval_steps_per_second": 1.97,
354
+ "step": 11500
355
+ },
356
+ {
357
+ "epoch": 1.2798634812286689,
358
+ "grad_norm": 0.11630824208259583,
359
+ "learning_rate": 5.7337883959044365e-08,
360
+ "loss": 0.1298,
361
+ "step": 12000
362
+ },
363
+ {
364
+ "epoch": 1.2798634812286689,
365
+ "eval_loss": 0.7956322431564331,
366
+ "eval_runtime": 63.0726,
367
+ "eval_samples_per_second": 15.649,
368
+ "eval_steps_per_second": 1.966,
369
+ "step": 12000
370
+ },
371
+ {
372
+ "epoch": 1.3331911262798635,
373
+ "grad_norm": 0.0007865954539738595,
374
+ "learning_rate": 5.556029579067122e-08,
375
+ "loss": 0.1385,
376
+ "step": 12500
377
+ },
378
+ {
379
+ "epoch": 1.3331911262798635,
380
+ "eval_loss": 0.7920646667480469,
381
+ "eval_runtime": 63.3155,
382
+ "eval_samples_per_second": 15.589,
383
+ "eval_steps_per_second": 1.958,
384
+ "step": 12500
385
+ }
386
+ ],
387
+ "logging_steps": 500,
388
+ "max_steps": 28128,
389
+ "num_input_tokens_seen": 0,
390
+ "num_train_epochs": 3,
391
+ "save_steps": 500,
392
+ "stateful_callbacks": {
393
+ "TrainerControl": {
394
+ "args": {
395
+ "should_epoch_stop": false,
396
+ "should_evaluate": false,
397
+ "should_log": false,
398
+ "should_save": true,
399
+ "should_training_stop": false
400
+ },
401
+ "attributes": {}
402
+ }
403
+ },
404
+ "total_flos": 4497698907452520.0,
405
+ "train_batch_size": 2,
406
+ "trial_name": null,
407
+ "trial_params": null
408
+ }
checkpoint-12500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52c8db40c27633302368150be011282e1650a78d29cdfc5e366df6966e8e6c70
3
+ size 4847