kevinoli commited on
Commit
53a74ee
1 Parent(s): 7efb6ed

Training in progress, step 25500, checkpoint

Browse files
checkpoint-25500/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-25500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ebe2c26a8851131bf1362924a1ca04a6c47ba5159923878ec438d828fcc557a
3
+ size 1711848436
checkpoint-25500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:898b02e980fda923ec9da6f759fd1f65533b47a75b24fb24dd836a2379a1c604
3
+ size 3424043887
checkpoint-25500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:817e1baae2a2e5557822a7f9c029f8f56e9e8506adbfd61b42906a5efe09e6e3
3
+ size 14503
checkpoint-25500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a33e66fd3a8f198dcefb99f21bb5cc673fda7a862c4efd0e3c5836daa6cbfb5
3
+ size 623
checkpoint-25500/trainer_state.json ADDED
@@ -0,0 +1,798 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.829609751701355,
3
+ "best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e4l58-l/checkpoint-25500",
4
+ "epoch": 2.7197098976109215,
5
+ "eval_steps": 500,
6
+ "global_step": 25500,
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": 217.55360412597656,
14
+ "learning_rate": 4.933340443686007e-08,
15
+ "loss": 0.4667,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.05332764505119454,
20
+ "eval_loss": 1.4426143169403076,
21
+ "eval_runtime": 61.9901,
22
+ "eval_samples_per_second": 15.922,
23
+ "eval_steps_per_second": 2.0,
24
+ "step": 500
25
+ },
26
+ {
27
+ "epoch": 0.10665529010238908,
28
+ "grad_norm": 73.73340606689453,
29
+ "learning_rate": 4.8666808873720136e-08,
30
+ "loss": 0.4532,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.10665529010238908,
35
+ "eval_loss": 1.3815597295761108,
36
+ "eval_runtime": 62.4624,
37
+ "eval_samples_per_second": 15.801,
38
+ "eval_steps_per_second": 1.985,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.1599829351535836,
43
+ "grad_norm": 471.4011535644531,
44
+ "learning_rate": 4.80002133105802e-08,
45
+ "loss": 0.3749,
46
+ "step": 1500
47
+ },
48
+ {
49
+ "epoch": 0.1599829351535836,
50
+ "eval_loss": 1.3310539722442627,
51
+ "eval_runtime": 63.3918,
52
+ "eval_samples_per_second": 15.57,
53
+ "eval_steps_per_second": 1.956,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 0.21331058020477817,
58
+ "grad_norm": 11.962693214416504,
59
+ "learning_rate": 4.733361774744027e-08,
60
+ "loss": 0.336,
61
+ "step": 2000
62
+ },
63
+ {
64
+ "epoch": 0.21331058020477817,
65
+ "eval_loss": 1.2890639305114746,
66
+ "eval_runtime": 63.177,
67
+ "eval_samples_per_second": 15.623,
68
+ "eval_steps_per_second": 1.963,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.2666382252559727,
73
+ "grad_norm": 375.1609191894531,
74
+ "learning_rate": 4.666702218430034e-08,
75
+ "loss": 0.3585,
76
+ "step": 2500
77
+ },
78
+ {
79
+ "epoch": 0.2666382252559727,
80
+ "eval_loss": 1.2536433935165405,
81
+ "eval_runtime": 63.1512,
82
+ "eval_samples_per_second": 15.629,
83
+ "eval_steps_per_second": 1.964,
84
+ "step": 2500
85
+ },
86
+ {
87
+ "epoch": 0.3199658703071672,
88
+ "grad_norm": 0.0022936267778277397,
89
+ "learning_rate": 4.600042662116041e-08,
90
+ "loss": 0.303,
91
+ "step": 3000
92
+ },
93
+ {
94
+ "epoch": 0.3199658703071672,
95
+ "eval_loss": 1.2202869653701782,
96
+ "eval_runtime": 63.5857,
97
+ "eval_samples_per_second": 15.522,
98
+ "eval_steps_per_second": 1.95,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.37329351535836175,
103
+ "grad_norm": 15.805087089538574,
104
+ "learning_rate": 4.5333831058020476e-08,
105
+ "loss": 0.3242,
106
+ "step": 3500
107
+ },
108
+ {
109
+ "epoch": 0.37329351535836175,
110
+ "eval_loss": 1.195627212524414,
111
+ "eval_runtime": 63.4024,
112
+ "eval_samples_per_second": 15.567,
113
+ "eval_steps_per_second": 1.956,
114
+ "step": 3500
115
+ },
116
+ {
117
+ "epoch": 0.42662116040955633,
118
+ "grad_norm": 5.377908229827881,
119
+ "learning_rate": 4.4667235494880546e-08,
120
+ "loss": 0.2427,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.42662116040955633,
125
+ "eval_loss": 1.169384241104126,
126
+ "eval_runtime": 63.5082,
127
+ "eval_samples_per_second": 15.541,
128
+ "eval_steps_per_second": 1.953,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 0.47994880546075086,
133
+ "grad_norm": 150.5334930419922,
134
+ "learning_rate": 4.4000639931740615e-08,
135
+ "loss": 0.2993,
136
+ "step": 4500
137
+ },
138
+ {
139
+ "epoch": 0.47994880546075086,
140
+ "eval_loss": 1.145558476448059,
141
+ "eval_runtime": 62.3888,
142
+ "eval_samples_per_second": 15.82,
143
+ "eval_steps_per_second": 1.988,
144
+ "step": 4500
145
+ },
146
+ {
147
+ "epoch": 0.5332764505119454,
148
+ "grad_norm": 0.12246542423963547,
149
+ "learning_rate": 4.333404436860068e-08,
150
+ "loss": 0.3183,
151
+ "step": 5000
152
+ },
153
+ {
154
+ "epoch": 0.5332764505119454,
155
+ "eval_loss": 1.1201218366622925,
156
+ "eval_runtime": 63.7154,
157
+ "eval_samples_per_second": 15.491,
158
+ "eval_steps_per_second": 1.946,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 0.58660409556314,
163
+ "grad_norm": 0.3306196630001068,
164
+ "learning_rate": 4.266744880546075e-08,
165
+ "loss": 0.307,
166
+ "step": 5500
167
+ },
168
+ {
169
+ "epoch": 0.58660409556314,
170
+ "eval_loss": 1.0982334613800049,
171
+ "eval_runtime": 62.4882,
172
+ "eval_samples_per_second": 15.795,
173
+ "eval_steps_per_second": 1.984,
174
+ "step": 5500
175
+ },
176
+ {
177
+ "epoch": 0.6399317406143344,
178
+ "grad_norm": 149.38189697265625,
179
+ "learning_rate": 4.2000853242320816e-08,
180
+ "loss": 0.2638,
181
+ "step": 6000
182
+ },
183
+ {
184
+ "epoch": 0.6399317406143344,
185
+ "eval_loss": 1.0779541730880737,
186
+ "eval_runtime": 63.4101,
187
+ "eval_samples_per_second": 15.565,
188
+ "eval_steps_per_second": 1.956,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 0.693259385665529,
193
+ "grad_norm": 353.0036315917969,
194
+ "learning_rate": 4.1334257679180886e-08,
195
+ "loss": 0.2226,
196
+ "step": 6500
197
+ },
198
+ {
199
+ "epoch": 0.693259385665529,
200
+ "eval_loss": 1.0613036155700684,
201
+ "eval_runtime": 62.8292,
202
+ "eval_samples_per_second": 15.709,
203
+ "eval_steps_per_second": 1.974,
204
+ "step": 6500
205
+ },
206
+ {
207
+ "epoch": 0.7465870307167235,
208
+ "grad_norm": 0.13188917934894562,
209
+ "learning_rate": 4.0667662116040955e-08,
210
+ "loss": 0.2453,
211
+ "step": 7000
212
+ },
213
+ {
214
+ "epoch": 0.7465870307167235,
215
+ "eval_loss": 1.0443507432937622,
216
+ "eval_runtime": 62.7457,
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": 59.391639709472656,
224
+ "learning_rate": 4.000106655290102e-08,
225
+ "loss": 0.272,
226
+ "step": 7500
227
+ },
228
+ {
229
+ "epoch": 0.7999146757679181,
230
+ "eval_loss": 1.0300519466400146,
231
+ "eval_runtime": 62.3719,
232
+ "eval_samples_per_second": 15.824,
233
+ "eval_steps_per_second": 1.988,
234
+ "step": 7500
235
+ },
236
+ {
237
+ "epoch": 0.8532423208191127,
238
+ "grad_norm": 495.4797668457031,
239
+ "learning_rate": 3.9334470989761093e-08,
240
+ "loss": 0.283,
241
+ "step": 8000
242
+ },
243
+ {
244
+ "epoch": 0.8532423208191127,
245
+ "eval_loss": 1.0166898965835571,
246
+ "eval_runtime": 62.0338,
247
+ "eval_samples_per_second": 15.911,
248
+ "eval_steps_per_second": 1.999,
249
+ "step": 8000
250
+ },
251
+ {
252
+ "epoch": 0.9065699658703071,
253
+ "grad_norm": 159.0310821533203,
254
+ "learning_rate": 3.866787542662116e-08,
255
+ "loss": 0.2331,
256
+ "step": 8500
257
+ },
258
+ {
259
+ "epoch": 0.9065699658703071,
260
+ "eval_loss": 1.003544807434082,
261
+ "eval_runtime": 62.9704,
262
+ "eval_samples_per_second": 15.674,
263
+ "eval_steps_per_second": 1.969,
264
+ "step": 8500
265
+ },
266
+ {
267
+ "epoch": 0.9598976109215017,
268
+ "grad_norm": 45.40327835083008,
269
+ "learning_rate": 3.8001279863481225e-08,
270
+ "loss": 0.2362,
271
+ "step": 9000
272
+ },
273
+ {
274
+ "epoch": 0.9598976109215017,
275
+ "eval_loss": 0.992453396320343,
276
+ "eval_runtime": 63.1405,
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": 621.8538818359375,
284
+ "learning_rate": 3.7334684300341295e-08,
285
+ "loss": 0.2396,
286
+ "step": 9500
287
+ },
288
+ {
289
+ "epoch": 1.0132252559726962,
290
+ "eval_loss": 0.9829725027084351,
291
+ "eval_runtime": 62.3244,
292
+ "eval_samples_per_second": 15.836,
293
+ "eval_steps_per_second": 1.99,
294
+ "step": 9500
295
+ },
296
+ {
297
+ "epoch": 1.0665529010238908,
298
+ "grad_norm": 461.60736083984375,
299
+ "learning_rate": 3.6668088737201364e-08,
300
+ "loss": 0.2013,
301
+ "step": 10000
302
+ },
303
+ {
304
+ "epoch": 1.0665529010238908,
305
+ "eval_loss": 0.9735796451568604,
306
+ "eval_runtime": 63.0763,
307
+ "eval_samples_per_second": 15.648,
308
+ "eval_steps_per_second": 1.966,
309
+ "step": 10000
310
+ },
311
+ {
312
+ "epoch": 1.1198805460750854,
313
+ "grad_norm": 7.0309906005859375,
314
+ "learning_rate": 3.6001493174061433e-08,
315
+ "loss": 0.2082,
316
+ "step": 10500
317
+ },
318
+ {
319
+ "epoch": 1.1198805460750854,
320
+ "eval_loss": 0.9639086127281189,
321
+ "eval_runtime": 63.0238,
322
+ "eval_samples_per_second": 15.661,
323
+ "eval_steps_per_second": 1.968,
324
+ "step": 10500
325
+ },
326
+ {
327
+ "epoch": 1.17320819112628,
328
+ "grad_norm": 304.01995849609375,
329
+ "learning_rate": 3.5334897610921496e-08,
330
+ "loss": 0.2023,
331
+ "step": 11000
332
+ },
333
+ {
334
+ "epoch": 1.17320819112628,
335
+ "eval_loss": 0.9558469653129578,
336
+ "eval_runtime": 62.1866,
337
+ "eval_samples_per_second": 15.872,
338
+ "eval_steps_per_second": 1.994,
339
+ "step": 11000
340
+ },
341
+ {
342
+ "epoch": 1.2265358361774745,
343
+ "grad_norm": 0.0017981340643018484,
344
+ "learning_rate": 3.4668302047781565e-08,
345
+ "loss": 0.2331,
346
+ "step": 11500
347
+ },
348
+ {
349
+ "epoch": 1.2265358361774745,
350
+ "eval_loss": 0.9465070962905884,
351
+ "eval_runtime": 63.1547,
352
+ "eval_samples_per_second": 15.628,
353
+ "eval_steps_per_second": 1.963,
354
+ "step": 11500
355
+ },
356
+ {
357
+ "epoch": 1.2798634812286689,
358
+ "grad_norm": 0.8147886395454407,
359
+ "learning_rate": 3.4001706484641635e-08,
360
+ "loss": 0.1784,
361
+ "step": 12000
362
+ },
363
+ {
364
+ "epoch": 1.2798634812286689,
365
+ "eval_loss": 0.9392343163490295,
366
+ "eval_runtime": 62.9221,
367
+ "eval_samples_per_second": 15.686,
368
+ "eval_steps_per_second": 1.971,
369
+ "step": 12000
370
+ },
371
+ {
372
+ "epoch": 1.3331911262798635,
373
+ "grad_norm": 0.01276802271604538,
374
+ "learning_rate": 3.3335110921501704e-08,
375
+ "loss": 0.1953,
376
+ "step": 12500
377
+ },
378
+ {
379
+ "epoch": 1.3331911262798635,
380
+ "eval_loss": 0.9316345453262329,
381
+ "eval_runtime": 62.2816,
382
+ "eval_samples_per_second": 15.847,
383
+ "eval_steps_per_second": 1.991,
384
+ "step": 12500
385
+ },
386
+ {
387
+ "epoch": 1.386518771331058,
388
+ "grad_norm": 0.07341516762971878,
389
+ "learning_rate": 3.2668515358361773e-08,
390
+ "loss": 0.1867,
391
+ "step": 13000
392
+ },
393
+ {
394
+ "epoch": 1.386518771331058,
395
+ "eval_loss": 0.9270105957984924,
396
+ "eval_runtime": 63.2619,
397
+ "eval_samples_per_second": 15.602,
398
+ "eval_steps_per_second": 1.96,
399
+ "step": 13000
400
+ },
401
+ {
402
+ "epoch": 1.4398464163822526,
403
+ "grad_norm": 17.55596923828125,
404
+ "learning_rate": 3.200191979522184e-08,
405
+ "loss": 0.22,
406
+ "step": 13500
407
+ },
408
+ {
409
+ "epoch": 1.4398464163822526,
410
+ "eval_loss": 0.919725775718689,
411
+ "eval_runtime": 63.3459,
412
+ "eval_samples_per_second": 15.581,
413
+ "eval_steps_per_second": 1.958,
414
+ "step": 13500
415
+ },
416
+ {
417
+ "epoch": 1.493174061433447,
418
+ "grad_norm": 3.4780771732330322,
419
+ "learning_rate": 3.133532423208191e-08,
420
+ "loss": 0.1656,
421
+ "step": 14000
422
+ },
423
+ {
424
+ "epoch": 1.493174061433447,
425
+ "eval_loss": 0.9148014783859253,
426
+ "eval_runtime": 62.257,
427
+ "eval_samples_per_second": 15.854,
428
+ "eval_steps_per_second": 1.992,
429
+ "step": 14000
430
+ },
431
+ {
432
+ "epoch": 1.5465017064846416,
433
+ "grad_norm": 158.22390747070312,
434
+ "learning_rate": 3.066872866894198e-08,
435
+ "loss": 0.1968,
436
+ "step": 14500
437
+ },
438
+ {
439
+ "epoch": 1.5465017064846416,
440
+ "eval_loss": 0.9096349477767944,
441
+ "eval_runtime": 63.3671,
442
+ "eval_samples_per_second": 15.576,
443
+ "eval_steps_per_second": 1.957,
444
+ "step": 14500
445
+ },
446
+ {
447
+ "epoch": 1.5998293515358362,
448
+ "grad_norm": 621.3922729492188,
449
+ "learning_rate": 3.0002133105802044e-08,
450
+ "loss": 0.1676,
451
+ "step": 15000
452
+ },
453
+ {
454
+ "epoch": 1.5998293515358362,
455
+ "eval_loss": 0.9056846499443054,
456
+ "eval_runtime": 63.2369,
457
+ "eval_samples_per_second": 15.608,
458
+ "eval_steps_per_second": 1.961,
459
+ "step": 15000
460
+ },
461
+ {
462
+ "epoch": 1.6531569965870307,
463
+ "grad_norm": 26.23398208618164,
464
+ "learning_rate": 2.9335537542662113e-08,
465
+ "loss": 0.2074,
466
+ "step": 15500
467
+ },
468
+ {
469
+ "epoch": 1.6531569965870307,
470
+ "eval_loss": 0.8993550539016724,
471
+ "eval_runtime": 62.3767,
472
+ "eval_samples_per_second": 15.823,
473
+ "eval_steps_per_second": 1.988,
474
+ "step": 15500
475
+ },
476
+ {
477
+ "epoch": 1.7064846416382253,
478
+ "grad_norm": 283.3314514160156,
479
+ "learning_rate": 2.8668941979522183e-08,
480
+ "loss": 0.1847,
481
+ "step": 16000
482
+ },
483
+ {
484
+ "epoch": 1.7064846416382253,
485
+ "eval_loss": 0.8954482078552246,
486
+ "eval_runtime": 63.2168,
487
+ "eval_samples_per_second": 15.613,
488
+ "eval_steps_per_second": 1.962,
489
+ "step": 16000
490
+ },
491
+ {
492
+ "epoch": 1.75981228668942,
493
+ "grad_norm": 12.151030540466309,
494
+ "learning_rate": 2.800234641638225e-08,
495
+ "loss": 0.1845,
496
+ "step": 16500
497
+ },
498
+ {
499
+ "epoch": 1.75981228668942,
500
+ "eval_loss": 0.8900338411331177,
501
+ "eval_runtime": 63.5581,
502
+ "eval_samples_per_second": 15.529,
503
+ "eval_steps_per_second": 1.951,
504
+ "step": 16500
505
+ },
506
+ {
507
+ "epoch": 1.8131399317406145,
508
+ "grad_norm": 0.7503092288970947,
509
+ "learning_rate": 2.7335750853242318e-08,
510
+ "loss": 0.1721,
511
+ "step": 17000
512
+ },
513
+ {
514
+ "epoch": 1.8131399317406145,
515
+ "eval_loss": 0.8872589468955994,
516
+ "eval_runtime": 62.0282,
517
+ "eval_samples_per_second": 15.912,
518
+ "eval_steps_per_second": 1.999,
519
+ "step": 17000
520
+ },
521
+ {
522
+ "epoch": 1.8664675767918089,
523
+ "grad_norm": 180.9355926513672,
524
+ "learning_rate": 2.6669155290102384e-08,
525
+ "loss": 0.2627,
526
+ "step": 17500
527
+ },
528
+ {
529
+ "epoch": 1.8664675767918089,
530
+ "eval_loss": 0.8810189962387085,
531
+ "eval_runtime": 62.7212,
532
+ "eval_samples_per_second": 15.736,
533
+ "eval_steps_per_second": 1.977,
534
+ "step": 17500
535
+ },
536
+ {
537
+ "epoch": 1.9197952218430034,
538
+ "grad_norm": 0.10503419488668442,
539
+ "learning_rate": 2.600255972696246e-08,
540
+ "loss": 0.1623,
541
+ "step": 18000
542
+ },
543
+ {
544
+ "epoch": 1.9197952218430034,
545
+ "eval_loss": 0.8773773908615112,
546
+ "eval_runtime": 62.9181,
547
+ "eval_samples_per_second": 15.687,
548
+ "eval_steps_per_second": 1.971,
549
+ "step": 18000
550
+ },
551
+ {
552
+ "epoch": 1.9731228668941978,
553
+ "grad_norm": 477.76715087890625,
554
+ "learning_rate": 2.5335964163822526e-08,
555
+ "loss": 0.2162,
556
+ "step": 18500
557
+ },
558
+ {
559
+ "epoch": 1.9731228668941978,
560
+ "eval_loss": 0.8713328242301941,
561
+ "eval_runtime": 62.3477,
562
+ "eval_samples_per_second": 15.831,
563
+ "eval_steps_per_second": 1.989,
564
+ "step": 18500
565
+ },
566
+ {
567
+ "epoch": 2.0264505119453924,
568
+ "grad_norm": 222.06802368164062,
569
+ "learning_rate": 2.4669368600682595e-08,
570
+ "loss": 0.1802,
571
+ "step": 19000
572
+ },
573
+ {
574
+ "epoch": 2.0264505119453924,
575
+ "eval_loss": 0.8679063320159912,
576
+ "eval_runtime": 63.0768,
577
+ "eval_samples_per_second": 15.648,
578
+ "eval_steps_per_second": 1.966,
579
+ "step": 19000
580
+ },
581
+ {
582
+ "epoch": 2.079778156996587,
583
+ "grad_norm": 48.63727569580078,
584
+ "learning_rate": 2.400277303754266e-08,
585
+ "loss": 0.179,
586
+ "step": 19500
587
+ },
588
+ {
589
+ "epoch": 2.079778156996587,
590
+ "eval_loss": 0.86326664686203,
591
+ "eval_runtime": 63.3068,
592
+ "eval_samples_per_second": 15.591,
593
+ "eval_steps_per_second": 1.959,
594
+ "step": 19500
595
+ },
596
+ {
597
+ "epoch": 2.1331058020477816,
598
+ "grad_norm": 0.5827552080154419,
599
+ "learning_rate": 2.333617747440273e-08,
600
+ "loss": 0.1549,
601
+ "step": 20000
602
+ },
603
+ {
604
+ "epoch": 2.1331058020477816,
605
+ "eval_loss": 0.8606277108192444,
606
+ "eval_runtime": 62.3116,
607
+ "eval_samples_per_second": 15.84,
608
+ "eval_steps_per_second": 1.99,
609
+ "step": 20000
610
+ },
611
+ {
612
+ "epoch": 2.186433447098976,
613
+ "grad_norm": 0.060927845537662506,
614
+ "learning_rate": 2.2669581911262796e-08,
615
+ "loss": 0.1742,
616
+ "step": 20500
617
+ },
618
+ {
619
+ "epoch": 2.186433447098976,
620
+ "eval_loss": 0.8584741353988647,
621
+ "eval_runtime": 63.1659,
622
+ "eval_samples_per_second": 15.626,
623
+ "eval_steps_per_second": 1.963,
624
+ "step": 20500
625
+ },
626
+ {
627
+ "epoch": 2.2397610921501707,
628
+ "grad_norm": 16.044307708740234,
629
+ "learning_rate": 2.2002986348122866e-08,
630
+ "loss": 0.1448,
631
+ "step": 21000
632
+ },
633
+ {
634
+ "epoch": 2.2397610921501707,
635
+ "eval_loss": 0.8546220064163208,
636
+ "eval_runtime": 63.0133,
637
+ "eval_samples_per_second": 15.663,
638
+ "eval_steps_per_second": 1.968,
639
+ "step": 21000
640
+ },
641
+ {
642
+ "epoch": 2.2930887372013653,
643
+ "grad_norm": 0.07948703318834305,
644
+ "learning_rate": 2.1336390784982935e-08,
645
+ "loss": 0.2066,
646
+ "step": 21500
647
+ },
648
+ {
649
+ "epoch": 2.2930887372013653,
650
+ "eval_loss": 0.8512936234474182,
651
+ "eval_runtime": 62.3887,
652
+ "eval_samples_per_second": 15.82,
653
+ "eval_steps_per_second": 1.988,
654
+ "step": 21500
655
+ },
656
+ {
657
+ "epoch": 2.34641638225256,
658
+ "grad_norm": 0.0013235179940238595,
659
+ "learning_rate": 2.0669795221843004e-08,
660
+ "loss": 0.1483,
661
+ "step": 22000
662
+ },
663
+ {
664
+ "epoch": 2.34641638225256,
665
+ "eval_loss": 0.8480631709098816,
666
+ "eval_runtime": 63.1614,
667
+ "eval_samples_per_second": 15.627,
668
+ "eval_steps_per_second": 1.963,
669
+ "step": 22000
670
+ },
671
+ {
672
+ "epoch": 2.399744027303754,
673
+ "grad_norm": 0.001996780978515744,
674
+ "learning_rate": 2.000319965870307e-08,
675
+ "loss": 0.1813,
676
+ "step": 22500
677
+ },
678
+ {
679
+ "epoch": 2.399744027303754,
680
+ "eval_loss": 0.84471195936203,
681
+ "eval_runtime": 63.0032,
682
+ "eval_samples_per_second": 15.666,
683
+ "eval_steps_per_second": 1.968,
684
+ "step": 22500
685
+ },
686
+ {
687
+ "epoch": 2.453071672354949,
688
+ "grad_norm": 0.24369017779827118,
689
+ "learning_rate": 1.933660409556314e-08,
690
+ "loss": 0.1617,
691
+ "step": 23000
692
+ },
693
+ {
694
+ "epoch": 2.453071672354949,
695
+ "eval_loss": 0.8411402702331543,
696
+ "eval_runtime": 62.707,
697
+ "eval_samples_per_second": 15.74,
698
+ "eval_steps_per_second": 1.977,
699
+ "step": 23000
700
+ },
701
+ {
702
+ "epoch": 2.506399317406143,
703
+ "grad_norm": 9.377041816711426,
704
+ "learning_rate": 1.8670008532423206e-08,
705
+ "loss": 0.1664,
706
+ "step": 23500
707
+ },
708
+ {
709
+ "epoch": 2.506399317406143,
710
+ "eval_loss": 0.8393682837486267,
711
+ "eval_runtime": 63.143,
712
+ "eval_samples_per_second": 15.631,
713
+ "eval_steps_per_second": 1.964,
714
+ "step": 23500
715
+ },
716
+ {
717
+ "epoch": 2.5597269624573378,
718
+ "grad_norm": 118.065673828125,
719
+ "learning_rate": 1.800341296928328e-08,
720
+ "loss": 0.1786,
721
+ "step": 24000
722
+ },
723
+ {
724
+ "epoch": 2.5597269624573378,
725
+ "eval_loss": 0.8357825875282288,
726
+ "eval_runtime": 63.3183,
727
+ "eval_samples_per_second": 15.588,
728
+ "eval_steps_per_second": 1.958,
729
+ "step": 24000
730
+ },
731
+ {
732
+ "epoch": 2.6130546075085324,
733
+ "grad_norm": 3.0652036666870117,
734
+ "learning_rate": 1.7336817406143344e-08,
735
+ "loss": 0.1465,
736
+ "step": 24500
737
+ },
738
+ {
739
+ "epoch": 2.6130546075085324,
740
+ "eval_loss": 0.8330481648445129,
741
+ "eval_runtime": 63.0565,
742
+ "eval_samples_per_second": 15.653,
743
+ "eval_steps_per_second": 1.966,
744
+ "step": 24500
745
+ },
746
+ {
747
+ "epoch": 2.666382252559727,
748
+ "grad_norm": 68.4100570678711,
749
+ "learning_rate": 1.6670221843003414e-08,
750
+ "loss": 0.1289,
751
+ "step": 25000
752
+ },
753
+ {
754
+ "epoch": 2.666382252559727,
755
+ "eval_loss": 0.831382691860199,
756
+ "eval_runtime": 62.8466,
757
+ "eval_samples_per_second": 15.705,
758
+ "eval_steps_per_second": 1.973,
759
+ "step": 25000
760
+ },
761
+ {
762
+ "epoch": 2.7197098976109215,
763
+ "grad_norm": 0.03573409095406532,
764
+ "learning_rate": 1.600362627986348e-08,
765
+ "loss": 0.1662,
766
+ "step": 25500
767
+ },
768
+ {
769
+ "epoch": 2.7197098976109215,
770
+ "eval_loss": 0.829609751701355,
771
+ "eval_runtime": 63.536,
772
+ "eval_samples_per_second": 15.535,
773
+ "eval_steps_per_second": 1.952,
774
+ "step": 25500
775
+ }
776
+ ],
777
+ "logging_steps": 500,
778
+ "max_steps": 37504,
779
+ "num_input_tokens_seen": 0,
780
+ "num_train_epochs": 4,
781
+ "save_steps": 500,
782
+ "stateful_callbacks": {
783
+ "TrainerControl": {
784
+ "args": {
785
+ "should_epoch_stop": false,
786
+ "should_evaluate": false,
787
+ "should_log": false,
788
+ "should_save": true,
789
+ "should_training_stop": false
790
+ },
791
+ "attributes": {}
792
+ }
793
+ },
794
+ "total_flos": 9174557473832520.0,
795
+ "train_batch_size": 2,
796
+ "trial_name": null,
797
+ "trial_params": null
798
+ }
checkpoint-25500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87e35dca972e13467c750106c19301b098fbd2918fda1087487e227bac3aca37
3
+ size 4847