kevinoli commited on
Commit
b0a0b61
1 Parent(s): 1db707d

Training in progress, step 8000, checkpoint

Browse files
checkpoint-8000/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-8000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9bfdbab037d7be7f3214d53ec2f44a17db06d7098b4ccb3225bde2de5d3f8d2f
3
+ size 1711848436
checkpoint-8000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:81e076735a53fc138b4bec05c38e0af48213e87ba7977f60678e675db454db51
3
+ size 3424043887
checkpoint-8000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:41054f6a7f29c2148ed6fea73ad66d1725aa683821303aeecc507f856769e9c4
3
+ size 14503
checkpoint-8000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:317593d155dea1aea0c78337da8622d9f9baf2402f8ca216fca56eeec2e50bb3
3
+ size 623
checkpoint-8000/trainer_state.json ADDED
@@ -0,0 +1,273 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.4991577863693237,
3
+ "best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e5l510-l/checkpoint-8000",
4
+ "epoch": 1.4738393515106853,
5
+ "eval_steps": 500,
6
+ "global_step": 8000,
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": 21.660480499267578,
14
+ "learning_rate": 4.907885040530583e-10,
15
+ "loss": 0.3974,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.09211495946941783,
20
+ "eval_loss": 1.5028706789016724,
21
+ "eval_runtime": 74.0662,
22
+ "eval_samples_per_second": 16.296,
23
+ "eval_steps_per_second": 2.039,
24
+ "step": 500
25
+ },
26
+ {
27
+ "epoch": 0.18422991893883567,
28
+ "grad_norm": 60.26338577270508,
29
+ "learning_rate": 4.815770081061165e-10,
30
+ "loss": 0.462,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.18422991893883567,
35
+ "eval_loss": 1.5025668144226074,
36
+ "eval_runtime": 75.1835,
37
+ "eval_samples_per_second": 16.054,
38
+ "eval_steps_per_second": 2.008,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.2763448784082535,
43
+ "grad_norm": 1.4199143648147583,
44
+ "learning_rate": 4.723655121591747e-10,
45
+ "loss": 0.5249,
46
+ "step": 1500
47
+ },
48
+ {
49
+ "epoch": 0.2763448784082535,
50
+ "eval_loss": 1.5022265911102295,
51
+ "eval_runtime": 76.3442,
52
+ "eval_samples_per_second": 15.81,
53
+ "eval_steps_per_second": 1.978,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 0.36845983787767134,
58
+ "grad_norm": 1.2705016136169434,
59
+ "learning_rate": 4.6315401621223287e-10,
60
+ "loss": 0.4642,
61
+ "step": 2000
62
+ },
63
+ {
64
+ "epoch": 0.36845983787767134,
65
+ "eval_loss": 1.5019283294677734,
66
+ "eval_runtime": 77.0512,
67
+ "eval_samples_per_second": 15.665,
68
+ "eval_steps_per_second": 1.96,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.46057479734708917,
73
+ "grad_norm": 335.6837463378906,
74
+ "learning_rate": 4.5394252026529114e-10,
75
+ "loss": 0.5056,
76
+ "step": 2500
77
+ },
78
+ {
79
+ "epoch": 0.46057479734708917,
80
+ "eval_loss": 1.5015931129455566,
81
+ "eval_runtime": 76.8527,
82
+ "eval_samples_per_second": 15.705,
83
+ "eval_steps_per_second": 1.965,
84
+ "step": 2500
85
+ },
86
+ {
87
+ "epoch": 0.552689756816507,
88
+ "grad_norm": 402.1738586425781,
89
+ "learning_rate": 4.4473102431834935e-10,
90
+ "loss": 0.4604,
91
+ "step": 3000
92
+ },
93
+ {
94
+ "epoch": 0.552689756816507,
95
+ "eval_loss": 1.501311182975769,
96
+ "eval_runtime": 76.7728,
97
+ "eval_samples_per_second": 15.722,
98
+ "eval_steps_per_second": 1.967,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.6448047162859248,
103
+ "grad_norm": 120.70919799804688,
104
+ "learning_rate": 4.3551952837140756e-10,
105
+ "loss": 0.4508,
106
+ "step": 3500
107
+ },
108
+ {
109
+ "epoch": 0.6448047162859248,
110
+ "eval_loss": 1.5010316371917725,
111
+ "eval_runtime": 77.0074,
112
+ "eval_samples_per_second": 15.674,
113
+ "eval_steps_per_second": 1.961,
114
+ "step": 3500
115
+ },
116
+ {
117
+ "epoch": 0.7369196757553427,
118
+ "grad_norm": 103.2845687866211,
119
+ "learning_rate": 4.2630803242446577e-10,
120
+ "loss": 0.4674,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.7369196757553427,
125
+ "eval_loss": 1.5007821321487427,
126
+ "eval_runtime": 76.7277,
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": 464.5989074707031,
134
+ "learning_rate": 4.17096536477524e-10,
135
+ "loss": 0.4435,
136
+ "step": 4500
137
+ },
138
+ {
139
+ "epoch": 0.8290346352247605,
140
+ "eval_loss": 1.500537633895874,
141
+ "eval_runtime": 76.8855,
142
+ "eval_samples_per_second": 15.699,
143
+ "eval_steps_per_second": 1.964,
144
+ "step": 4500
145
+ },
146
+ {
147
+ "epoch": 0.9211495946941783,
148
+ "grad_norm": 6.3550262451171875,
149
+ "learning_rate": 4.078850405305822e-10,
150
+ "loss": 0.4573,
151
+ "step": 5000
152
+ },
153
+ {
154
+ "epoch": 0.9211495946941783,
155
+ "eval_loss": 1.5003185272216797,
156
+ "eval_runtime": 77.2072,
157
+ "eval_samples_per_second": 15.633,
158
+ "eval_steps_per_second": 1.956,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 1.013264554163596,
163
+ "grad_norm": 0.6333007216453552,
164
+ "learning_rate": 3.9867354458364045e-10,
165
+ "loss": 0.4681,
166
+ "step": 5500
167
+ },
168
+ {
169
+ "epoch": 1.013264554163596,
170
+ "eval_loss": 1.5001204013824463,
171
+ "eval_runtime": 76.9383,
172
+ "eval_samples_per_second": 15.688,
173
+ "eval_steps_per_second": 1.963,
174
+ "step": 5500
175
+ },
176
+ {
177
+ "epoch": 1.105379513633014,
178
+ "grad_norm": 238.3988800048828,
179
+ "learning_rate": 3.894620486366986e-10,
180
+ "loss": 0.4862,
181
+ "step": 6000
182
+ },
183
+ {
184
+ "epoch": 1.105379513633014,
185
+ "eval_loss": 1.4999229907989502,
186
+ "eval_runtime": 76.9483,
187
+ "eval_samples_per_second": 15.686,
188
+ "eval_steps_per_second": 1.962,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 1.1974944731024317,
193
+ "grad_norm": 492.2626953125,
194
+ "learning_rate": 3.8025055268975687e-10,
195
+ "loss": 0.4231,
196
+ "step": 6500
197
+ },
198
+ {
199
+ "epoch": 1.1974944731024317,
200
+ "eval_loss": 1.4997295141220093,
201
+ "eval_runtime": 75.1791,
202
+ "eval_samples_per_second": 16.055,
203
+ "eval_steps_per_second": 2.009,
204
+ "step": 6500
205
+ },
206
+ {
207
+ "epoch": 1.2896094325718497,
208
+ "grad_norm": 3.0739829540252686,
209
+ "learning_rate": 3.7103905674281503e-10,
210
+ "loss": 0.3734,
211
+ "step": 7000
212
+ },
213
+ {
214
+ "epoch": 1.2896094325718497,
215
+ "eval_loss": 1.4995641708374023,
216
+ "eval_runtime": 76.6897,
217
+ "eval_samples_per_second": 15.739,
218
+ "eval_steps_per_second": 1.969,
219
+ "step": 7000
220
+ },
221
+ {
222
+ "epoch": 1.3817243920412676,
223
+ "grad_norm": 142.28684997558594,
224
+ "learning_rate": 3.618275607958733e-10,
225
+ "loss": 0.4606,
226
+ "step": 7500
227
+ },
228
+ {
229
+ "epoch": 1.3817243920412676,
230
+ "eval_loss": 1.4993607997894287,
231
+ "eval_runtime": 75.831,
232
+ "eval_samples_per_second": 15.917,
233
+ "eval_steps_per_second": 1.991,
234
+ "step": 7500
235
+ },
236
+ {
237
+ "epoch": 1.4738393515106853,
238
+ "grad_norm": 1.5455149412155151,
239
+ "learning_rate": 3.526160648489315e-10,
240
+ "loss": 0.467,
241
+ "step": 8000
242
+ },
243
+ {
244
+ "epoch": 1.4738393515106853,
245
+ "eval_loss": 1.4991577863693237,
246
+ "eval_runtime": 75.1339,
247
+ "eval_samples_per_second": 16.065,
248
+ "eval_steps_per_second": 2.01,
249
+ "step": 8000
250
+ }
251
+ ],
252
+ "logging_steps": 500,
253
+ "max_steps": 27140,
254
+ "num_input_tokens_seen": 0,
255
+ "num_train_epochs": 5,
256
+ "save_steps": 500,
257
+ "stateful_callbacks": {
258
+ "TrainerControl": {
259
+ "args": {
260
+ "should_epoch_stop": false,
261
+ "should_evaluate": false,
262
+ "should_log": false,
263
+ "should_save": true,
264
+ "should_training_stop": false
265
+ },
266
+ "attributes": {}
267
+ }
268
+ },
269
+ "total_flos": 2878786326782520.0,
270
+ "train_batch_size": 2,
271
+ "trial_name": null,
272
+ "trial_params": null
273
+ }
checkpoint-8000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4216477e635a737e95915c1d07b3b9cd2ee3a4f3b4c352bfa7225c18c894aa58
3
+ size 4847