kevinoli commited on
Commit
2ab9cd7
·
verified ·
1 Parent(s): bc0fd98

Training in progress, step 10000, checkpoint

Browse files
checkpoint-10000/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-10000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:49bff3cb630dda4bcfb98aca15fb4e1dfa9232b63323519a2e8a95c84d6f6999
3
+ size 1711848436
checkpoint-10000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29dc2f1f1b38dcc26f6cbc203bdcddc2944f3f5629b8325a4315cfcedf977724
3
+ size 3424043887
checkpoint-10000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33032314e21c83aa4d40a2ddf48735643a463bbe34be187c5ad96c64a466b625
3
+ size 14503
checkpoint-10000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:acded272c94574aca21022b02a567c3264b96ace0ee0891bcadaa3c7fed2203c
3
+ size 623
checkpoint-10000/trainer_state.json ADDED
@@ -0,0 +1,333 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9592632055282593,
3
+ "best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e6l56-l/checkpoint-10000",
4
+ "epoch": 1.8422991893883567,
5
+ "eval_steps": 500,
6
+ "global_step": 10000,
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": 0.49671515822410583,
14
+ "learning_rate": 4.923237533775486e-06,
15
+ "loss": 0.2159,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.09211495946941783,
20
+ "eval_loss": 1.4818799495697021,
21
+ "eval_runtime": 72.2844,
22
+ "eval_samples_per_second": 16.698,
23
+ "eval_steps_per_second": 2.089,
24
+ "step": 500
25
+ },
26
+ {
27
+ "epoch": 0.18422991893883567,
28
+ "grad_norm": 0.0015633106231689453,
29
+ "learning_rate": 4.846475067550971e-06,
30
+ "loss": 0.2648,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.18422991893883567,
35
+ "eval_loss": 1.4225908517837524,
36
+ "eval_runtime": 73.6999,
37
+ "eval_samples_per_second": 16.377,
38
+ "eval_steps_per_second": 2.049,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.2763448784082535,
43
+ "grad_norm": 0.047471947968006134,
44
+ "learning_rate": 4.769712601326456e-06,
45
+ "loss": 0.328,
46
+ "step": 1500
47
+ },
48
+ {
49
+ "epoch": 0.2763448784082535,
50
+ "eval_loss": 1.412400245666504,
51
+ "eval_runtime": 74.9915,
52
+ "eval_samples_per_second": 16.095,
53
+ "eval_steps_per_second": 2.014,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 0.36845983787767134,
58
+ "grad_norm": 3.9284778208248383e-10,
59
+ "learning_rate": 4.692950135101941e-06,
60
+ "loss": 0.1813,
61
+ "step": 2000
62
+ },
63
+ {
64
+ "epoch": 0.36845983787767134,
65
+ "eval_loss": 1.2844351530075073,
66
+ "eval_runtime": 74.7649,
67
+ "eval_samples_per_second": 16.144,
68
+ "eval_steps_per_second": 2.02,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.46057479734708917,
73
+ "grad_norm": 514.6055297851562,
74
+ "learning_rate": 4.616187668877426e-06,
75
+ "loss": 0.4836,
76
+ "step": 2500
77
+ },
78
+ {
79
+ "epoch": 0.46057479734708917,
80
+ "eval_loss": 1.301351547241211,
81
+ "eval_runtime": 74.7994,
82
+ "eval_samples_per_second": 16.136,
83
+ "eval_steps_per_second": 2.019,
84
+ "step": 2500
85
+ },
86
+ {
87
+ "epoch": 0.552689756816507,
88
+ "grad_norm": 127.98405456542969,
89
+ "learning_rate": 4.5394252026529115e-06,
90
+ "loss": 0.2803,
91
+ "step": 3000
92
+ },
93
+ {
94
+ "epoch": 0.552689756816507,
95
+ "eval_loss": 1.1920161247253418,
96
+ "eval_runtime": 75.5447,
97
+ "eval_samples_per_second": 15.977,
98
+ "eval_steps_per_second": 1.999,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.6448047162859248,
103
+ "grad_norm": 0.048586923629045486,
104
+ "learning_rate": 4.462662736428396e-06,
105
+ "loss": 0.2056,
106
+ "step": 3500
107
+ },
108
+ {
109
+ "epoch": 0.6448047162859248,
110
+ "eval_loss": 1.1428992748260498,
111
+ "eval_runtime": 75.7202,
112
+ "eval_samples_per_second": 15.94,
113
+ "eval_steps_per_second": 1.994,
114
+ "step": 3500
115
+ },
116
+ {
117
+ "epoch": 0.7369196757553427,
118
+ "grad_norm": 228.63064575195312,
119
+ "learning_rate": 4.385900270203882e-06,
120
+ "loss": 0.2174,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.7369196757553427,
125
+ "eval_loss": 1.1957736015319824,
126
+ "eval_runtime": 74.1933,
127
+ "eval_samples_per_second": 16.268,
128
+ "eval_steps_per_second": 2.035,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 0.8290346352247605,
133
+ "grad_norm": 226.2799530029297,
134
+ "learning_rate": 4.3091378039793666e-06,
135
+ "loss": 0.2236,
136
+ "step": 4500
137
+ },
138
+ {
139
+ "epoch": 0.8290346352247605,
140
+ "eval_loss": 1.0961644649505615,
141
+ "eval_runtime": 74.6968,
142
+ "eval_samples_per_second": 16.159,
143
+ "eval_steps_per_second": 2.022,
144
+ "step": 4500
145
+ },
146
+ {
147
+ "epoch": 0.9211495946941783,
148
+ "grad_norm": 8.084862640478363e-12,
149
+ "learning_rate": 4.232375337754851e-06,
150
+ "loss": 0.1966,
151
+ "step": 5000
152
+ },
153
+ {
154
+ "epoch": 0.9211495946941783,
155
+ "eval_loss": 1.1026136875152588,
156
+ "eval_runtime": 75.566,
157
+ "eval_samples_per_second": 15.973,
158
+ "eval_steps_per_second": 1.998,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 1.013264554163596,
163
+ "grad_norm": 1.592839794284373e-06,
164
+ "learning_rate": 4.155612871530337e-06,
165
+ "loss": 0.2547,
166
+ "step": 5500
167
+ },
168
+ {
169
+ "epoch": 1.013264554163596,
170
+ "eval_loss": 1.0125067234039307,
171
+ "eval_runtime": 74.4786,
172
+ "eval_samples_per_second": 16.206,
173
+ "eval_steps_per_second": 2.027,
174
+ "step": 5500
175
+ },
176
+ {
177
+ "epoch": 1.105379513633014,
178
+ "grad_norm": 0.06377054750919342,
179
+ "learning_rate": 4.078850405305822e-06,
180
+ "loss": 0.1057,
181
+ "step": 6000
182
+ },
183
+ {
184
+ "epoch": 1.105379513633014,
185
+ "eval_loss": 1.1245251893997192,
186
+ "eval_runtime": 74.102,
187
+ "eval_samples_per_second": 16.288,
188
+ "eval_steps_per_second": 2.038,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 1.1974944731024317,
193
+ "grad_norm": 0.00903751328587532,
194
+ "learning_rate": 4.002087939081307e-06,
195
+ "loss": 0.1085,
196
+ "step": 6500
197
+ },
198
+ {
199
+ "epoch": 1.1974944731024317,
200
+ "eval_loss": 1.1834831237792969,
201
+ "eval_runtime": 74.4532,
202
+ "eval_samples_per_second": 16.212,
203
+ "eval_steps_per_second": 2.028,
204
+ "step": 6500
205
+ },
206
+ {
207
+ "epoch": 1.2896094325718497,
208
+ "grad_norm": 5.0311258631419165e-11,
209
+ "learning_rate": 3.925325472856792e-06,
210
+ "loss": 0.1174,
211
+ "step": 7000
212
+ },
213
+ {
214
+ "epoch": 1.2896094325718497,
215
+ "eval_loss": 1.1334316730499268,
216
+ "eval_runtime": 74.1756,
217
+ "eval_samples_per_second": 16.272,
218
+ "eval_steps_per_second": 2.036,
219
+ "step": 7000
220
+ },
221
+ {
222
+ "epoch": 1.3817243920412676,
223
+ "grad_norm": 3.813414917175351e-09,
224
+ "learning_rate": 3.848563006632278e-06,
225
+ "loss": 0.122,
226
+ "step": 7500
227
+ },
228
+ {
229
+ "epoch": 1.3817243920412676,
230
+ "eval_loss": 1.1058012247085571,
231
+ "eval_runtime": 74.0285,
232
+ "eval_samples_per_second": 16.305,
233
+ "eval_steps_per_second": 2.04,
234
+ "step": 7500
235
+ },
236
+ {
237
+ "epoch": 1.4738393515106853,
238
+ "grad_norm": 4.6230165935412515e-06,
239
+ "learning_rate": 3.7718005404077624e-06,
240
+ "loss": 0.1653,
241
+ "step": 8000
242
+ },
243
+ {
244
+ "epoch": 1.4738393515106853,
245
+ "eval_loss": 1.8118412494659424,
246
+ "eval_runtime": 73.9465,
247
+ "eval_samples_per_second": 16.323,
248
+ "eval_steps_per_second": 2.042,
249
+ "step": 8000
250
+ },
251
+ {
252
+ "epoch": 1.565954310980103,
253
+ "grad_norm": 6.103370031596e-10,
254
+ "learning_rate": 3.6950380741832476e-06,
255
+ "loss": 0.1144,
256
+ "step": 8500
257
+ },
258
+ {
259
+ "epoch": 1.565954310980103,
260
+ "eval_loss": 1.0845656394958496,
261
+ "eval_runtime": 73.8897,
262
+ "eval_samples_per_second": 16.335,
263
+ "eval_steps_per_second": 2.044,
264
+ "step": 8500
265
+ },
266
+ {
267
+ "epoch": 1.658069270449521,
268
+ "grad_norm": 0.023263949900865555,
269
+ "learning_rate": 3.6182756079587327e-06,
270
+ "loss": 0.1866,
271
+ "step": 9000
272
+ },
273
+ {
274
+ "epoch": 1.658069270449521,
275
+ "eval_loss": 1.2360613346099854,
276
+ "eval_runtime": 73.8786,
277
+ "eval_samples_per_second": 16.338,
278
+ "eval_steps_per_second": 2.044,
279
+ "step": 9000
280
+ },
281
+ {
282
+ "epoch": 1.750184229918939,
283
+ "grad_norm": 1.1146563672070897e-09,
284
+ "learning_rate": 3.541513141734218e-06,
285
+ "loss": 0.1385,
286
+ "step": 9500
287
+ },
288
+ {
289
+ "epoch": 1.750184229918939,
290
+ "eval_loss": 1.0680217742919922,
291
+ "eval_runtime": 73.8064,
292
+ "eval_samples_per_second": 16.354,
293
+ "eval_steps_per_second": 2.046,
294
+ "step": 9500
295
+ },
296
+ {
297
+ "epoch": 1.8422991893883567,
298
+ "grad_norm": 0.0801646038889885,
299
+ "learning_rate": 3.464750675509703e-06,
300
+ "loss": 0.1178,
301
+ "step": 10000
302
+ },
303
+ {
304
+ "epoch": 1.8422991893883567,
305
+ "eval_loss": 0.9592632055282593,
306
+ "eval_runtime": 73.9232,
307
+ "eval_samples_per_second": 16.328,
308
+ "eval_steps_per_second": 2.043,
309
+ "step": 10000
310
+ }
311
+ ],
312
+ "logging_steps": 500,
313
+ "max_steps": 32568,
314
+ "num_input_tokens_seen": 0,
315
+ "num_train_epochs": 6,
316
+ "save_steps": 500,
317
+ "stateful_callbacks": {
318
+ "TrainerControl": {
319
+ "args": {
320
+ "should_epoch_stop": false,
321
+ "should_evaluate": false,
322
+ "should_log": false,
323
+ "should_save": true,
324
+ "should_training_stop": false
325
+ },
326
+ "attributes": {}
327
+ }
328
+ },
329
+ "total_flos": 3598303029302520.0,
330
+ "train_batch_size": 2,
331
+ "trial_name": null,
332
+ "trial_params": null
333
+ }
checkpoint-10000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09987e134b23188d490a3f3d609c84b1bd02ce771791cf447dcb77366fe93878
3
+ size 4847