kevinoli commited on
Commit
ce38a33
1 Parent(s): a011f68

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 sha256:9458314d56fd7e7255dce8b882138f434cf56782fc123fd5bb7d22802f6e2f52
3
+ size 1711848436
checkpoint-12500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5fd26aa743cb38d6fb3058e48f2859b108673a6a26f7999ac2e6d7433437bcd1
3
+ size 3424043887
checkpoint-12500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44ce728a996d4cd2bb50f824c75c8ae07c806e6bf3c3d424b2413e32d621d8b9
3
+ size 14503
checkpoint-12500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12f6f703344336e4fe36132ccdbb3384941e10bf1460e3a16431c28611fe7bc3
3
+ size 623
checkpoint-12500/trainer_state.json ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.531768798828125,
3
+ "best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e4l57-l/checkpoint-12500",
4
+ "epoch": 2.3028739867354457,
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": 0.09211495946941783,
13
+ "grad_norm": 3.0293657779693604,
14
+ "learning_rate": 4.884856300663227e-07,
15
+ "loss": 0.271,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.09211495946941783,
20
+ "eval_loss": 1.069305419921875,
21
+ "eval_runtime": 75.1409,
22
+ "eval_samples_per_second": 16.063,
23
+ "eval_steps_per_second": 2.01,
24
+ "step": 500
25
+ },
26
+ {
27
+ "epoch": 0.18422991893883567,
28
+ "grad_norm": 7.3040852546691895,
29
+ "learning_rate": 4.769712601326456e-07,
30
+ "loss": 0.2493,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.18422991893883567,
35
+ "eval_loss": 0.9427077770233154,
36
+ "eval_runtime": 74.8926,
37
+ "eval_samples_per_second": 16.116,
38
+ "eval_steps_per_second": 2.016,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.2763448784082535,
43
+ "grad_norm": 0.020736657083034515,
44
+ "learning_rate": 4.654568901989683e-07,
45
+ "loss": 0.2348,
46
+ "step": 1500
47
+ },
48
+ {
49
+ "epoch": 0.2763448784082535,
50
+ "eval_loss": 0.8726764917373657,
51
+ "eval_runtime": 76.6621,
52
+ "eval_samples_per_second": 15.744,
53
+ "eval_steps_per_second": 1.97,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 0.36845983787767134,
58
+ "grad_norm": 5.3738909628009424e-05,
59
+ "learning_rate": 4.5394252026529107e-07,
60
+ "loss": 0.1552,
61
+ "step": 2000
62
+ },
63
+ {
64
+ "epoch": 0.36845983787767134,
65
+ "eval_loss": 0.8325753808021545,
66
+ "eval_runtime": 76.6127,
67
+ "eval_samples_per_second": 15.755,
68
+ "eval_steps_per_second": 1.971,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.46057479734708917,
73
+ "grad_norm": 404.510009765625,
74
+ "learning_rate": 4.4242815033161386e-07,
75
+ "loss": 0.1753,
76
+ "step": 2500
77
+ },
78
+ {
79
+ "epoch": 0.46057479734708917,
80
+ "eval_loss": 0.7550467848777771,
81
+ "eval_runtime": 76.8024,
82
+ "eval_samples_per_second": 15.716,
83
+ "eval_steps_per_second": 1.966,
84
+ "step": 2500
85
+ },
86
+ {
87
+ "epoch": 0.552689756816507,
88
+ "grad_norm": 370.7579650878906,
89
+ "learning_rate": 4.3091378039793665e-07,
90
+ "loss": 0.1659,
91
+ "step": 3000
92
+ },
93
+ {
94
+ "epoch": 0.552689756816507,
95
+ "eval_loss": 0.719167172908783,
96
+ "eval_runtime": 76.6327,
97
+ "eval_samples_per_second": 15.75,
98
+ "eval_steps_per_second": 1.97,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.6448047162859248,
103
+ "grad_norm": 24.97766876220703,
104
+ "learning_rate": 4.193994104642594e-07,
105
+ "loss": 0.105,
106
+ "step": 3500
107
+ },
108
+ {
109
+ "epoch": 0.6448047162859248,
110
+ "eval_loss": 0.7117515802383423,
111
+ "eval_runtime": 77.1286,
112
+ "eval_samples_per_second": 15.649,
113
+ "eval_steps_per_second": 1.958,
114
+ "step": 3500
115
+ },
116
+ {
117
+ "epoch": 0.7369196757553427,
118
+ "grad_norm": 305.62060546875,
119
+ "learning_rate": 4.0788504053058217e-07,
120
+ "loss": 0.1336,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.7369196757553427,
125
+ "eval_loss": 0.6952972412109375,
126
+ "eval_runtime": 76.7253,
127
+ "eval_samples_per_second": 15.731,
128
+ "eval_steps_per_second": 1.968,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 0.8290346352247605,
133
+ "grad_norm": 506.12237548828125,
134
+ "learning_rate": 3.9637067059690496e-07,
135
+ "loss": 0.1154,
136
+ "step": 4500
137
+ },
138
+ {
139
+ "epoch": 0.8290346352247605,
140
+ "eval_loss": 0.6744509935379028,
141
+ "eval_runtime": 76.9493,
142
+ "eval_samples_per_second": 15.686,
143
+ "eval_steps_per_second": 1.962,
144
+ "step": 4500
145
+ },
146
+ {
147
+ "epoch": 0.9211495946941783,
148
+ "grad_norm": 8.823301322991028e-05,
149
+ "learning_rate": 3.8485630066322774e-07,
150
+ "loss": 0.108,
151
+ "step": 5000
152
+ },
153
+ {
154
+ "epoch": 0.9211495946941783,
155
+ "eval_loss": 0.6559990048408508,
156
+ "eval_runtime": 75.2391,
157
+ "eval_samples_per_second": 16.042,
158
+ "eval_steps_per_second": 2.007,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 1.013264554163596,
163
+ "grad_norm": 0.0008560372516512871,
164
+ "learning_rate": 3.733419307295504e-07,
165
+ "loss": 0.1106,
166
+ "step": 5500
167
+ },
168
+ {
169
+ "epoch": 1.013264554163596,
170
+ "eval_loss": 0.6367496848106384,
171
+ "eval_runtime": 77.0031,
172
+ "eval_samples_per_second": 15.675,
173
+ "eval_steps_per_second": 1.961,
174
+ "step": 5500
175
+ },
176
+ {
177
+ "epoch": 1.105379513633014,
178
+ "grad_norm": 0.04510360211133957,
179
+ "learning_rate": 3.618275607958732e-07,
180
+ "loss": 0.0591,
181
+ "step": 6000
182
+ },
183
+ {
184
+ "epoch": 1.105379513633014,
185
+ "eval_loss": 0.6259325742721558,
186
+ "eval_runtime": 75.2787,
187
+ "eval_samples_per_second": 16.034,
188
+ "eval_steps_per_second": 2.006,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 1.1974944731024317,
193
+ "grad_norm": 0.0005158882704563439,
194
+ "learning_rate": 3.50313190862196e-07,
195
+ "loss": 0.0745,
196
+ "step": 6500
197
+ },
198
+ {
199
+ "epoch": 1.1974944731024317,
200
+ "eval_loss": 0.6209793090820312,
201
+ "eval_runtime": 77.1989,
202
+ "eval_samples_per_second": 15.635,
203
+ "eval_steps_per_second": 1.956,
204
+ "step": 6500
205
+ },
206
+ {
207
+ "epoch": 1.2896094325718497,
208
+ "grad_norm": 3.5883346072296263e-07,
209
+ "learning_rate": 3.387988209285188e-07,
210
+ "loss": 0.0502,
211
+ "step": 7000
212
+ },
213
+ {
214
+ "epoch": 1.2896094325718497,
215
+ "eval_loss": 0.6133300065994263,
216
+ "eval_runtime": 75.1116,
217
+ "eval_samples_per_second": 16.069,
218
+ "eval_steps_per_second": 2.01,
219
+ "step": 7000
220
+ },
221
+ {
222
+ "epoch": 1.3817243920412676,
223
+ "grad_norm": 21.66597557067871,
224
+ "learning_rate": 3.272844509948415e-07,
225
+ "loss": 0.079,
226
+ "step": 7500
227
+ },
228
+ {
229
+ "epoch": 1.3817243920412676,
230
+ "eval_loss": 0.6006803512573242,
231
+ "eval_runtime": 75.0086,
232
+ "eval_samples_per_second": 16.091,
233
+ "eval_steps_per_second": 2.013,
234
+ "step": 7500
235
+ },
236
+ {
237
+ "epoch": 1.4738393515106853,
238
+ "grad_norm": 7.992870814632624e-05,
239
+ "learning_rate": 3.157700810611643e-07,
240
+ "loss": 0.0776,
241
+ "step": 8000
242
+ },
243
+ {
244
+ "epoch": 1.4738393515106853,
245
+ "eval_loss": 0.5866427421569824,
246
+ "eval_runtime": 75.6702,
247
+ "eval_samples_per_second": 15.951,
248
+ "eval_steps_per_second": 1.996,
249
+ "step": 8000
250
+ },
251
+ {
252
+ "epoch": 1.565954310980103,
253
+ "grad_norm": 0.0010381735628470778,
254
+ "learning_rate": 3.042557111274871e-07,
255
+ "loss": 0.0492,
256
+ "step": 8500
257
+ },
258
+ {
259
+ "epoch": 1.565954310980103,
260
+ "eval_loss": 0.5679212212562561,
261
+ "eval_runtime": 75.0643,
262
+ "eval_samples_per_second": 16.08,
263
+ "eval_steps_per_second": 2.012,
264
+ "step": 8500
265
+ },
266
+ {
267
+ "epoch": 1.658069270449521,
268
+ "grad_norm": 1.733377956725235e-07,
269
+ "learning_rate": 2.927413411938099e-07,
270
+ "loss": 0.0794,
271
+ "step": 9000
272
+ },
273
+ {
274
+ "epoch": 1.658069270449521,
275
+ "eval_loss": 0.5761673450469971,
276
+ "eval_runtime": 76.2738,
277
+ "eval_samples_per_second": 15.825,
278
+ "eval_steps_per_second": 1.98,
279
+ "step": 9000
280
+ },
281
+ {
282
+ "epoch": 1.750184229918939,
283
+ "grad_norm": 3.1063287359023306e-11,
284
+ "learning_rate": 2.812269712601326e-07,
285
+ "loss": 0.0677,
286
+ "step": 9500
287
+ },
288
+ {
289
+ "epoch": 1.750184229918939,
290
+ "eval_loss": 0.5565799474716187,
291
+ "eval_runtime": 75.6897,
292
+ "eval_samples_per_second": 15.947,
293
+ "eval_steps_per_second": 1.995,
294
+ "step": 9500
295
+ },
296
+ {
297
+ "epoch": 1.8422991893883567,
298
+ "grad_norm": 0.00010032750287791714,
299
+ "learning_rate": 2.697126013264554e-07,
300
+ "loss": 0.0566,
301
+ "step": 10000
302
+ },
303
+ {
304
+ "epoch": 1.8422991893883567,
305
+ "eval_loss": 0.5482199192047119,
306
+ "eval_runtime": 75.0029,
307
+ "eval_samples_per_second": 16.093,
308
+ "eval_steps_per_second": 2.013,
309
+ "step": 10000
310
+ },
311
+ {
312
+ "epoch": 1.9344141488577744,
313
+ "grad_norm": 5.553330595375883e-08,
314
+ "learning_rate": 2.581982313927782e-07,
315
+ "loss": 0.0828,
316
+ "step": 10500
317
+ },
318
+ {
319
+ "epoch": 1.9344141488577744,
320
+ "eval_loss": 0.5500391125679016,
321
+ "eval_runtime": 76.2612,
322
+ "eval_samples_per_second": 15.827,
323
+ "eval_steps_per_second": 1.98,
324
+ "step": 10500
325
+ },
326
+ {
327
+ "epoch": 2.026529108327192,
328
+ "grad_norm": 1.5537947319899104e-06,
329
+ "learning_rate": 2.466838614591009e-07,
330
+ "loss": 0.0573,
331
+ "step": 11000
332
+ },
333
+ {
334
+ "epoch": 2.026529108327192,
335
+ "eval_loss": 0.5341849327087402,
336
+ "eval_runtime": 75.6131,
337
+ "eval_samples_per_second": 15.963,
338
+ "eval_steps_per_second": 1.997,
339
+ "step": 11000
340
+ },
341
+ {
342
+ "epoch": 2.1186440677966103,
343
+ "grad_norm": 36.10622024536133,
344
+ "learning_rate": 2.3516949152542374e-07,
345
+ "loss": 0.0401,
346
+ "step": 11500
347
+ },
348
+ {
349
+ "epoch": 2.1186440677966103,
350
+ "eval_loss": 0.5351412296295166,
351
+ "eval_runtime": 74.8873,
352
+ "eval_samples_per_second": 16.118,
353
+ "eval_steps_per_second": 2.016,
354
+ "step": 11500
355
+ },
356
+ {
357
+ "epoch": 2.210759027266028,
358
+ "grad_norm": 0.49580878019332886,
359
+ "learning_rate": 2.236551215917465e-07,
360
+ "loss": 0.0152,
361
+ "step": 12000
362
+ },
363
+ {
364
+ "epoch": 2.210759027266028,
365
+ "eval_loss": 0.5349487662315369,
366
+ "eval_runtime": 76.3109,
367
+ "eval_samples_per_second": 15.817,
368
+ "eval_steps_per_second": 1.979,
369
+ "step": 12000
370
+ },
371
+ {
372
+ "epoch": 2.3028739867354457,
373
+ "grad_norm": 1.7469781637191772,
374
+ "learning_rate": 2.1214075165806928e-07,
375
+ "loss": 0.0638,
376
+ "step": 12500
377
+ },
378
+ {
379
+ "epoch": 2.3028739867354457,
380
+ "eval_loss": 0.531768798828125,
381
+ "eval_runtime": 75.5712,
382
+ "eval_samples_per_second": 15.972,
383
+ "eval_steps_per_second": 1.998,
384
+ "step": 12500
385
+ }
386
+ ],
387
+ "logging_steps": 500,
388
+ "max_steps": 21712,
389
+ "num_input_tokens_seen": 0,
390
+ "num_train_epochs": 4,
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:bf76416e4a857628175385db7f617e54451cd7ffb62c1f9590ee9f30268f8c5b
3
+ size 4847