kevinoli commited on
Commit
51f457f
1 Parent(s): ceda403

Training in progress, step 10500, checkpoint

Browse files
checkpoint-10500/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-10500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf6d0d612f9f4d14bcbdfad93b3853e5a2507ecbad22c0eb2805c003748d1099
3
+ size 1711848436
checkpoint-10500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44cf0c1ce62ac630b181eca1918f7aafda3288cccf001be3615b0ff112c2e551
3
+ size 3424043887
checkpoint-10500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d9be3731bd45b68aa3495049ac193f5be0636ae23217b87c22e9387c9699e277
3
+ size 14503
checkpoint-10500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31730a1cd24a99fc4c0ed7038088de976f3f766ad1e47c2c45a8361b50f52f9b
3
+ size 623
checkpoint-10500/trainer_state.json ADDED
@@ -0,0 +1,348 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6723716259002686,
3
+ "best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e3l37-l/checkpoint-10500",
4
+ "epoch": 1.1820330969267139,
5
+ "eval_steps": 500,
6
+ "global_step": 10500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.056287290329843524,
13
+ "grad_norm": 96.92656707763672,
14
+ "learning_rate": 2.9437127096701565e-07,
15
+ "loss": 0.3748,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.056287290329843524,
20
+ "eval_loss": 1.2226382493972778,
21
+ "eval_runtime": 131.2779,
22
+ "eval_samples_per_second": 15.037,
23
+ "eval_steps_per_second": 1.882,
24
+ "step": 500
25
+ },
26
+ {
27
+ "epoch": 0.11257458065968705,
28
+ "grad_norm": 402.31158447265625,
29
+ "learning_rate": 2.887425419340313e-07,
30
+ "loss": 0.3057,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.11257458065968705,
35
+ "eval_loss": 1.0702259540557861,
36
+ "eval_runtime": 131.0109,
37
+ "eval_samples_per_second": 15.067,
38
+ "eval_steps_per_second": 1.885,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.16886187098953057,
43
+ "grad_norm": 515.0911865234375,
44
+ "learning_rate": 2.831138129010469e-07,
45
+ "loss": 0.2239,
46
+ "step": 1500
47
+ },
48
+ {
49
+ "epoch": 0.16886187098953057,
50
+ "eval_loss": 0.9957238435745239,
51
+ "eval_runtime": 134.8377,
52
+ "eval_samples_per_second": 14.64,
53
+ "eval_steps_per_second": 1.832,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 0.2251491613193741,
58
+ "grad_norm": 3.1967105865478516,
59
+ "learning_rate": 2.774850838680626e-07,
60
+ "loss": 0.2229,
61
+ "step": 2000
62
+ },
63
+ {
64
+ "epoch": 0.2251491613193741,
65
+ "eval_loss": 0.9504629373550415,
66
+ "eval_runtime": 129.0169,
67
+ "eval_samples_per_second": 15.3,
68
+ "eval_steps_per_second": 1.914,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.2814364516492176,
73
+ "grad_norm": 276.22998046875,
74
+ "learning_rate": 2.718563548350782e-07,
75
+ "loss": 0.2098,
76
+ "step": 2500
77
+ },
78
+ {
79
+ "epoch": 0.2814364516492176,
80
+ "eval_loss": 0.9006705284118652,
81
+ "eval_runtime": 129.1816,
82
+ "eval_samples_per_second": 15.281,
83
+ "eval_steps_per_second": 1.912,
84
+ "step": 2500
85
+ },
86
+ {
87
+ "epoch": 0.33772374197906113,
88
+ "grad_norm": 1105.317138671875,
89
+ "learning_rate": 2.6622762580209386e-07,
90
+ "loss": 0.1938,
91
+ "step": 3000
92
+ },
93
+ {
94
+ "epoch": 0.33772374197906113,
95
+ "eval_loss": 0.8782906532287598,
96
+ "eval_runtime": 128.6387,
97
+ "eval_samples_per_second": 15.345,
98
+ "eval_steps_per_second": 1.92,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.39401103230890466,
103
+ "grad_norm": 0.00043465400813147426,
104
+ "learning_rate": 2.605988967691095e-07,
105
+ "loss": 0.1688,
106
+ "step": 3500
107
+ },
108
+ {
109
+ "epoch": 0.39401103230890466,
110
+ "eval_loss": 0.8405746221542358,
111
+ "eval_runtime": 128.6989,
112
+ "eval_samples_per_second": 15.338,
113
+ "eval_steps_per_second": 1.919,
114
+ "step": 3500
115
+ },
116
+ {
117
+ "epoch": 0.4502983226387482,
118
+ "grad_norm": 0.027426382526755333,
119
+ "learning_rate": 2.549701677361252e-07,
120
+ "loss": 0.1457,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.4502983226387482,
125
+ "eval_loss": 0.813768208026886,
126
+ "eval_runtime": 128.7209,
127
+ "eval_samples_per_second": 15.336,
128
+ "eval_steps_per_second": 1.919,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 0.5065856129685917,
133
+ "grad_norm": 0.0012935090344399214,
134
+ "learning_rate": 2.4934143870314085e-07,
135
+ "loss": 0.179,
136
+ "step": 4500
137
+ },
138
+ {
139
+ "epoch": 0.5065856129685917,
140
+ "eval_loss": 0.7965527176856995,
141
+ "eval_runtime": 128.3969,
142
+ "eval_samples_per_second": 15.374,
143
+ "eval_steps_per_second": 1.924,
144
+ "step": 4500
145
+ },
146
+ {
147
+ "epoch": 0.5628729032984352,
148
+ "grad_norm": 0.0017458726651966572,
149
+ "learning_rate": 2.4371270967015646e-07,
150
+ "loss": 0.1224,
151
+ "step": 5000
152
+ },
153
+ {
154
+ "epoch": 0.5628729032984352,
155
+ "eval_loss": 0.7788484692573547,
156
+ "eval_runtime": 128.4939,
157
+ "eval_samples_per_second": 15.363,
158
+ "eval_steps_per_second": 1.922,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 0.6191601936282788,
163
+ "grad_norm": 65.76844787597656,
164
+ "learning_rate": 2.380839806371721e-07,
165
+ "loss": 0.1551,
166
+ "step": 5500
167
+ },
168
+ {
169
+ "epoch": 0.6191601936282788,
170
+ "eval_loss": 0.7626588344573975,
171
+ "eval_runtime": 128.7302,
172
+ "eval_samples_per_second": 15.334,
173
+ "eval_steps_per_second": 1.919,
174
+ "step": 5500
175
+ },
176
+ {
177
+ "epoch": 0.6754474839581223,
178
+ "grad_norm": 5.014094829559326,
179
+ "learning_rate": 2.3245525160418776e-07,
180
+ "loss": 0.1721,
181
+ "step": 6000
182
+ },
183
+ {
184
+ "epoch": 0.6754474839581223,
185
+ "eval_loss": 0.7464810609817505,
186
+ "eval_runtime": 128.749,
187
+ "eval_samples_per_second": 15.332,
188
+ "eval_steps_per_second": 1.918,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 0.7317347742879657,
193
+ "grad_norm": 0.0022696161177009344,
194
+ "learning_rate": 2.268265225712034e-07,
195
+ "loss": 0.1532,
196
+ "step": 6500
197
+ },
198
+ {
199
+ "epoch": 0.7317347742879657,
200
+ "eval_loss": 0.7335842251777649,
201
+ "eval_runtime": 128.8165,
202
+ "eval_samples_per_second": 15.324,
203
+ "eval_steps_per_second": 1.917,
204
+ "step": 6500
205
+ },
206
+ {
207
+ "epoch": 0.7880220646178093,
208
+ "grad_norm": 5.508715730684344e-06,
209
+ "learning_rate": 2.2119779353821906e-07,
210
+ "loss": 0.1991,
211
+ "step": 7000
212
+ },
213
+ {
214
+ "epoch": 0.7880220646178093,
215
+ "eval_loss": 0.7244272232055664,
216
+ "eval_runtime": 128.9211,
217
+ "eval_samples_per_second": 15.312,
218
+ "eval_steps_per_second": 1.916,
219
+ "step": 7000
220
+ },
221
+ {
222
+ "epoch": 0.8443093549476528,
223
+ "grad_norm": 0.30320531129837036,
224
+ "learning_rate": 2.155690645052347e-07,
225
+ "loss": 0.1551,
226
+ "step": 7500
227
+ },
228
+ {
229
+ "epoch": 0.8443093549476528,
230
+ "eval_loss": 0.718368411064148,
231
+ "eval_runtime": 128.8149,
232
+ "eval_samples_per_second": 15.324,
233
+ "eval_steps_per_second": 1.917,
234
+ "step": 7500
235
+ },
236
+ {
237
+ "epoch": 0.9005966452774964,
238
+ "grad_norm": 1.9788849385804497e-05,
239
+ "learning_rate": 2.0994033547225037e-07,
240
+ "loss": 0.1439,
241
+ "step": 8000
242
+ },
243
+ {
244
+ "epoch": 0.9005966452774964,
245
+ "eval_loss": 0.7040167450904846,
246
+ "eval_runtime": 128.4921,
247
+ "eval_samples_per_second": 15.363,
248
+ "eval_steps_per_second": 1.922,
249
+ "step": 8000
250
+ },
251
+ {
252
+ "epoch": 0.9568839356073399,
253
+ "grad_norm": 1.0750063665909693e-06,
254
+ "learning_rate": 2.04311606439266e-07,
255
+ "loss": 0.1361,
256
+ "step": 8500
257
+ },
258
+ {
259
+ "epoch": 0.9568839356073399,
260
+ "eval_loss": 0.6983720660209656,
261
+ "eval_runtime": 128.5929,
262
+ "eval_samples_per_second": 15.351,
263
+ "eval_steps_per_second": 1.921,
264
+ "step": 8500
265
+ },
266
+ {
267
+ "epoch": 1.0131712259371835,
268
+ "grad_norm": 187.1415557861328,
269
+ "learning_rate": 1.9868287740628167e-07,
270
+ "loss": 0.1144,
271
+ "step": 9000
272
+ },
273
+ {
274
+ "epoch": 1.0131712259371835,
275
+ "eval_loss": 0.6901102066040039,
276
+ "eval_runtime": 128.5322,
277
+ "eval_samples_per_second": 15.358,
278
+ "eval_steps_per_second": 1.922,
279
+ "step": 9000
280
+ },
281
+ {
282
+ "epoch": 1.069458516267027,
283
+ "grad_norm": 0.007205183617770672,
284
+ "learning_rate": 1.9305414837329728e-07,
285
+ "loss": 0.0643,
286
+ "step": 9500
287
+ },
288
+ {
289
+ "epoch": 1.069458516267027,
290
+ "eval_loss": 0.6831753253936768,
291
+ "eval_runtime": 128.59,
292
+ "eval_samples_per_second": 15.351,
293
+ "eval_steps_per_second": 1.921,
294
+ "step": 9500
295
+ },
296
+ {
297
+ "epoch": 1.1257458065968704,
298
+ "grad_norm": 0.4961595833301544,
299
+ "learning_rate": 1.8742541934031294e-07,
300
+ "loss": 0.0773,
301
+ "step": 10000
302
+ },
303
+ {
304
+ "epoch": 1.1257458065968704,
305
+ "eval_loss": 0.6732445955276489,
306
+ "eval_runtime": 128.732,
307
+ "eval_samples_per_second": 15.334,
308
+ "eval_steps_per_second": 1.919,
309
+ "step": 10000
310
+ },
311
+ {
312
+ "epoch": 1.1820330969267139,
313
+ "grad_norm": 0.0009373470675200224,
314
+ "learning_rate": 1.817966903073286e-07,
315
+ "loss": 0.0814,
316
+ "step": 10500
317
+ },
318
+ {
319
+ "epoch": 1.1820330969267139,
320
+ "eval_loss": 0.6723716259002686,
321
+ "eval_runtime": 126.1133,
322
+ "eval_samples_per_second": 15.653,
323
+ "eval_steps_per_second": 1.959,
324
+ "step": 10500
325
+ }
326
+ ],
327
+ "logging_steps": 500,
328
+ "max_steps": 26649,
329
+ "num_input_tokens_seen": 0,
330
+ "num_train_epochs": 3,
331
+ "save_steps": 500,
332
+ "stateful_callbacks": {
333
+ "TrainerControl": {
334
+ "args": {
335
+ "should_epoch_stop": false,
336
+ "should_evaluate": false,
337
+ "should_log": false,
338
+ "should_save": true,
339
+ "should_training_stop": false
340
+ },
341
+ "attributes": {}
342
+ }
343
+ },
344
+ "total_flos": 3778002325756890.0,
345
+ "train_batch_size": 2,
346
+ "trial_name": null,
347
+ "trial_params": null
348
+ }
checkpoint-10500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:074eb2b3aae1f3310fb0b27d83d259baa7ad74a32c8433c81af819e28558f6b0
3
+ size 4847