kokovova commited on
Commit
a68d39c
·
verified ·
1 Parent(s): db076be

Training in progress, step 50, checkpoint

Browse files
last-checkpoint/adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fa9a91274d9b0b92b4c6eb46f15f3c433a773032d7ae483f119a3a8af9a36ec7
3
  size 335604696
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ae275a5d593847471da51ddbf95ee47dc795cb5d50da9d179bbffe093604b45
3
  size 335604696
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cb92b2a82a75d56e875a2d34e5ec55de6c6cfca370ba857a6308dcb13fa66cde
3
  size 671466706
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52ae1c8b35c043691704e73b10234ab2aeffc45287c0c7e0d309e1505148642f
3
  size 671466706
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0f8d8412de774bcc9c6826e721d9aa613d29d76af4b510c94281cb78a6b9db24
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3dc5fd93b9b05230499931de5440078d246a5022cd07a79303d2793ff0bce7b6
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:99fc9c0ec571f76cf9b6d1229601c5173899cd18104e487c5627f5f4c56c6e8a
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46fa8207e86dee7d50b0ab12f1dd18c4426e8c65d06f97f8b2bd004a747e9cfa
3
  size 1064
last-checkpoint/trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.10576414595452142,
5
  "eval_steps": 25,
6
- "global_step": 25,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -198,6 +198,189 @@
198
  "eval_samples_per_second": 8.948,
199
  "eval_steps_per_second": 4.497,
200
  "step": 25
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
201
  }
202
  ],
203
  "logging_steps": 1,
@@ -217,7 +400,7 @@
217
  "attributes": {}
218
  }
219
  },
220
- "total_flos": 3.73005226082304e+16,
221
  "train_batch_size": 2,
222
  "trial_name": null,
223
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.21152829190904285,
5
  "eval_steps": 25,
6
+ "global_step": 50,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
198
  "eval_samples_per_second": 8.948,
199
  "eval_steps_per_second": 4.497,
200
  "step": 25
201
+ },
202
+ {
203
+ "epoch": 0.10999471179270227,
204
+ "grad_norm": 0.2562794089317322,
205
+ "learning_rate": 7.68649804173412e-05,
206
+ "loss": 0.1286,
207
+ "step": 26
208
+ },
209
+ {
210
+ "epoch": 0.11422527763088314,
211
+ "grad_norm": 1.385337471961975,
212
+ "learning_rate": 7.500000000000001e-05,
213
+ "loss": 0.1934,
214
+ "step": 27
215
+ },
216
+ {
217
+ "epoch": 0.11845584346906399,
218
+ "grad_norm": 0.28447943925857544,
219
+ "learning_rate": 7.308743066175172e-05,
220
+ "loss": 0.1475,
221
+ "step": 28
222
+ },
223
+ {
224
+ "epoch": 0.12268640930724485,
225
+ "grad_norm": 0.4681300222873688,
226
+ "learning_rate": 7.113091308703498e-05,
227
+ "loss": 0.1723,
228
+ "step": 29
229
+ },
230
+ {
231
+ "epoch": 0.12691697514542571,
232
+ "grad_norm": 0.33006489276885986,
233
+ "learning_rate": 6.91341716182545e-05,
234
+ "loss": 0.1467,
235
+ "step": 30
236
+ },
237
+ {
238
+ "epoch": 0.13114754098360656,
239
+ "grad_norm": 1.173805832862854,
240
+ "learning_rate": 6.710100716628344e-05,
241
+ "loss": 0.1347,
242
+ "step": 31
243
+ },
244
+ {
245
+ "epoch": 0.13537810682178741,
246
+ "grad_norm": 0.3175932466983795,
247
+ "learning_rate": 6.503528997521366e-05,
248
+ "loss": 0.154,
249
+ "step": 32
250
+ },
251
+ {
252
+ "epoch": 0.13960867265996826,
253
+ "grad_norm": 0.19901403784751892,
254
+ "learning_rate": 6.294095225512603e-05,
255
+ "loss": 0.1594,
256
+ "step": 33
257
+ },
258
+ {
259
+ "epoch": 0.14383923849814914,
260
+ "grad_norm": 1.1052857637405396,
261
+ "learning_rate": 6.0821980696905146e-05,
262
+ "loss": 0.2117,
263
+ "step": 34
264
+ },
265
+ {
266
+ "epoch": 0.14806980433633,
267
+ "grad_norm": 0.11121287196874619,
268
+ "learning_rate": 5.868240888334653e-05,
269
+ "loss": 0.1437,
270
+ "step": 35
271
+ },
272
+ {
273
+ "epoch": 0.15230037017451084,
274
+ "grad_norm": 0.18161903321743011,
275
+ "learning_rate": 5.6526309611002594e-05,
276
+ "loss": 0.1203,
277
+ "step": 36
278
+ },
279
+ {
280
+ "epoch": 0.1565309360126917,
281
+ "grad_norm": 0.1642102152109146,
282
+ "learning_rate": 5.435778713738292e-05,
283
+ "loss": 0.1832,
284
+ "step": 37
285
+ },
286
+ {
287
+ "epoch": 0.16076150185087257,
288
+ "grad_norm": 0.2714860439300537,
289
+ "learning_rate": 5.218096936826681e-05,
290
+ "loss": 0.1728,
291
+ "step": 38
292
+ },
293
+ {
294
+ "epoch": 0.16499206768905342,
295
+ "grad_norm": 0.3132612109184265,
296
+ "learning_rate": 5e-05,
297
+ "loss": 0.149,
298
+ "step": 39
299
+ },
300
+ {
301
+ "epoch": 0.16922263352723427,
302
+ "grad_norm": 0.17970287799835205,
303
+ "learning_rate": 4.781903063173321e-05,
304
+ "loss": 0.1759,
305
+ "step": 40
306
+ },
307
+ {
308
+ "epoch": 0.17345319936541512,
309
+ "grad_norm": 0.2791941463947296,
310
+ "learning_rate": 4.564221286261709e-05,
311
+ "loss": 0.1519,
312
+ "step": 41
313
+ },
314
+ {
315
+ "epoch": 0.177683765203596,
316
+ "grad_norm": 0.38692009449005127,
317
+ "learning_rate": 4.347369038899744e-05,
318
+ "loss": 0.1627,
319
+ "step": 42
320
+ },
321
+ {
322
+ "epoch": 0.18191433104177684,
323
+ "grad_norm": 0.1635783314704895,
324
+ "learning_rate": 4.131759111665349e-05,
325
+ "loss": 0.1533,
326
+ "step": 43
327
+ },
328
+ {
329
+ "epoch": 0.1861448968799577,
330
+ "grad_norm": 0.23903019726276398,
331
+ "learning_rate": 3.917801930309486e-05,
332
+ "loss": 0.1517,
333
+ "step": 44
334
+ },
335
+ {
336
+ "epoch": 0.19037546271813854,
337
+ "grad_norm": 0.551013708114624,
338
+ "learning_rate": 3.705904774487396e-05,
339
+ "loss": 0.1954,
340
+ "step": 45
341
+ },
342
+ {
343
+ "epoch": 0.19460602855631942,
344
+ "grad_norm": 0.722944438457489,
345
+ "learning_rate": 3.4964710024786354e-05,
346
+ "loss": 0.1574,
347
+ "step": 46
348
+ },
349
+ {
350
+ "epoch": 0.19883659439450027,
351
+ "grad_norm": 0.6895685791969299,
352
+ "learning_rate": 3.289899283371657e-05,
353
+ "loss": 0.1543,
354
+ "step": 47
355
+ },
356
+ {
357
+ "epoch": 0.20306716023268112,
358
+ "grad_norm": 4.492163181304932,
359
+ "learning_rate": 3.086582838174551e-05,
360
+ "loss": 0.252,
361
+ "step": 48
362
+ },
363
+ {
364
+ "epoch": 0.20729772607086197,
365
+ "grad_norm": 0.8367879986763,
366
+ "learning_rate": 2.886908691296504e-05,
367
+ "loss": 0.1803,
368
+ "step": 49
369
+ },
370
+ {
371
+ "epoch": 0.21152829190904285,
372
+ "grad_norm": 0.26023951172828674,
373
+ "learning_rate": 2.6912569338248315e-05,
374
+ "loss": 0.1944,
375
+ "step": 50
376
+ },
377
+ {
378
+ "epoch": 0.21152829190904285,
379
+ "eval_loss": 0.162020742893219,
380
+ "eval_runtime": 22.2041,
381
+ "eval_samples_per_second": 8.962,
382
+ "eval_steps_per_second": 4.504,
383
+ "step": 50
384
  }
385
  ],
386
  "logging_steps": 1,
 
400
  "attributes": {}
401
  }
402
  },
403
+ "total_flos": 7.46010452164608e+16,
404
  "train_batch_size": 2,
405
  "trial_name": null,
406
  "trial_params": null