lesso03 commited on
Commit
dbda13b
·
verified ·
1 Parent(s): 0a770b5

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 sha256:9e9461f145c4a7fc1ed9ac5d93fce0db5ed6267d4805fc04d67c8d16a395963b
3
  size 159967880
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d361f722689a6c0f347aeb5f528f3d441589056395c0d91f0fd78f22a7aa84e5
3
  size 159967880
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3c0505071d3eef5486e0adb7de4bc50e2ded3ef8408f98b10e2409b231b7402a
3
  size 320194002
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09f3f7f407e922bb7bbb38827750059f8eb3e41224c40787be68796549935b7e
3
  size 320194002
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f6d6eaf276fdf021006f90bf821ce46a64808e39f4e0c975649dc880600155fc
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cad57760029cf28563e59df0d6afdcc3b95ff86cb77fe0cab8e460b3d873d363
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8c931ece4da598a541d357f6c98f67481603252e193960022d37ddd49c584b1f
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a89ffc445067fef9d6d02bb3ff9e61d5e3209e6fa67c7259b3b364b90dbaa2cd
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": 0.015206812652068127,
5
  "eval_steps": 9,
6
- "global_step": 25,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -206,6 +206,205 @@
206
  "learning_rate": 9.330127018922194e-05,
207
  "loss": 1.5088,
208
  "step": 25
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
209
  }
210
  ],
211
  "logging_steps": 1,
@@ -225,7 +424,7 @@
225
  "attributes": {}
226
  }
227
  },
228
- "total_flos": 3.26729100951552e+16,
229
  "train_batch_size": 8,
230
  "trial_name": null,
231
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.030413625304136254,
5
  "eval_steps": 9,
6
+ "global_step": 50,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
206
  "learning_rate": 9.330127018922194e-05,
207
  "loss": 1.5088,
208
  "step": 25
209
+ },
210
+ {
211
+ "epoch": 0.015815085158150853,
212
+ "grad_norm": 5.111483573913574,
213
+ "learning_rate": 9.24024048078213e-05,
214
+ "loss": 1.0722,
215
+ "step": 26
216
+ },
217
+ {
218
+ "epoch": 0.016423357664233577,
219
+ "grad_norm": 6.778738498687744,
220
+ "learning_rate": 9.145187862775209e-05,
221
+ "loss": 1.4215,
222
+ "step": 27
223
+ },
224
+ {
225
+ "epoch": 0.016423357664233577,
226
+ "eval_loss": 0.6313769221305847,
227
+ "eval_runtime": 251.1945,
228
+ "eval_samples_per_second": 5.514,
229
+ "eval_steps_per_second": 0.693,
230
+ "step": 27
231
+ },
232
+ {
233
+ "epoch": 0.0170316301703163,
234
+ "grad_norm": 5.726966381072998,
235
+ "learning_rate": 9.045084971874738e-05,
236
+ "loss": 1.2793,
237
+ "step": 28
238
+ },
239
+ {
240
+ "epoch": 0.017639902676399026,
241
+ "grad_norm": 9.59007453918457,
242
+ "learning_rate": 8.940053768033609e-05,
243
+ "loss": 1.0635,
244
+ "step": 29
245
+ },
246
+ {
247
+ "epoch": 0.01824817518248175,
248
+ "grad_norm": 7.323919296264648,
249
+ "learning_rate": 8.83022221559489e-05,
250
+ "loss": 1.2779,
251
+ "step": 30
252
+ },
253
+ {
254
+ "epoch": 0.018856447688564478,
255
+ "grad_norm": 9.515922546386719,
256
+ "learning_rate": 8.715724127386972e-05,
257
+ "loss": 2.2738,
258
+ "step": 31
259
+ },
260
+ {
261
+ "epoch": 0.019464720194647202,
262
+ "grad_norm": 6.336705207824707,
263
+ "learning_rate": 8.596699001693255e-05,
264
+ "loss": 0.897,
265
+ "step": 32
266
+ },
267
+ {
268
+ "epoch": 0.020072992700729927,
269
+ "grad_norm": 4.728940963745117,
270
+ "learning_rate": 8.473291852294987e-05,
271
+ "loss": 0.9216,
272
+ "step": 33
273
+ },
274
+ {
275
+ "epoch": 0.02068126520681265,
276
+ "grad_norm": 5.460188865661621,
277
+ "learning_rate": 8.345653031794292e-05,
278
+ "loss": 1.0803,
279
+ "step": 34
280
+ },
281
+ {
282
+ "epoch": 0.021289537712895375,
283
+ "grad_norm": 5.335496425628662,
284
+ "learning_rate": 8.213938048432697e-05,
285
+ "loss": 1.2525,
286
+ "step": 35
287
+ },
288
+ {
289
+ "epoch": 0.021897810218978103,
290
+ "grad_norm": 7.545004844665527,
291
+ "learning_rate": 8.07830737662829e-05,
292
+ "loss": 0.9629,
293
+ "step": 36
294
+ },
295
+ {
296
+ "epoch": 0.021897810218978103,
297
+ "eval_loss": 0.5044350624084473,
298
+ "eval_runtime": 251.2533,
299
+ "eval_samples_per_second": 5.512,
300
+ "eval_steps_per_second": 0.693,
301
+ "step": 36
302
+ },
303
+ {
304
+ "epoch": 0.022506082725060828,
305
+ "grad_norm": 8.623957633972168,
306
+ "learning_rate": 7.938926261462366e-05,
307
+ "loss": 1.3611,
308
+ "step": 37
309
+ },
310
+ {
311
+ "epoch": 0.023114355231143552,
312
+ "grad_norm": 4.0373735427856445,
313
+ "learning_rate": 7.795964517353735e-05,
314
+ "loss": 0.5133,
315
+ "step": 38
316
+ },
317
+ {
318
+ "epoch": 0.023722627737226276,
319
+ "grad_norm": 5.937623500823975,
320
+ "learning_rate": 7.649596321166024e-05,
321
+ "loss": 1.0959,
322
+ "step": 39
323
+ },
324
+ {
325
+ "epoch": 0.024330900243309004,
326
+ "grad_norm": 4.628834247589111,
327
+ "learning_rate": 7.500000000000001e-05,
328
+ "loss": 0.612,
329
+ "step": 40
330
+ },
331
+ {
332
+ "epoch": 0.024939172749391728,
333
+ "grad_norm": 4.886986255645752,
334
+ "learning_rate": 7.347357813929454e-05,
335
+ "loss": 1.1789,
336
+ "step": 41
337
+ },
338
+ {
339
+ "epoch": 0.025547445255474453,
340
+ "grad_norm": 6.197083950042725,
341
+ "learning_rate": 7.191855733945387e-05,
342
+ "loss": 1.2511,
343
+ "step": 42
344
+ },
345
+ {
346
+ "epoch": 0.026155717761557177,
347
+ "grad_norm": 4.846970558166504,
348
+ "learning_rate": 7.033683215379002e-05,
349
+ "loss": 0.7351,
350
+ "step": 43
351
+ },
352
+ {
353
+ "epoch": 0.0267639902676399,
354
+ "grad_norm": 19.016860961914062,
355
+ "learning_rate": 6.873032967079561e-05,
356
+ "loss": 1.2659,
357
+ "step": 44
358
+ },
359
+ {
360
+ "epoch": 0.02737226277372263,
361
+ "grad_norm": 5.002533435821533,
362
+ "learning_rate": 6.710100716628344e-05,
363
+ "loss": 0.974,
364
+ "step": 45
365
+ },
366
+ {
367
+ "epoch": 0.02737226277372263,
368
+ "eval_loss": 0.501889705657959,
369
+ "eval_runtime": 251.1579,
370
+ "eval_samples_per_second": 5.514,
371
+ "eval_steps_per_second": 0.693,
372
+ "step": 45
373
+ },
374
+ {
375
+ "epoch": 0.027980535279805353,
376
+ "grad_norm": 16.9000301361084,
377
+ "learning_rate": 6.545084971874738e-05,
378
+ "loss": 1.1102,
379
+ "step": 46
380
+ },
381
+ {
382
+ "epoch": 0.028588807785888078,
383
+ "grad_norm": 4.386449813842773,
384
+ "learning_rate": 6.378186779084995e-05,
385
+ "loss": 0.7829,
386
+ "step": 47
387
+ },
388
+ {
389
+ "epoch": 0.029197080291970802,
390
+ "grad_norm": 3.59611177444458,
391
+ "learning_rate": 6.209609477998338e-05,
392
+ "loss": 0.7655,
393
+ "step": 48
394
+ },
395
+ {
396
+ "epoch": 0.029805352798053526,
397
+ "grad_norm": 4.8466668128967285,
398
+ "learning_rate": 6.0395584540887963e-05,
399
+ "loss": 0.9544,
400
+ "step": 49
401
+ },
402
+ {
403
+ "epoch": 0.030413625304136254,
404
+ "grad_norm": 4.518596649169922,
405
+ "learning_rate": 5.868240888334653e-05,
406
+ "loss": 0.6498,
407
+ "step": 50
408
  }
409
  ],
410
  "logging_steps": 1,
 
424
  "attributes": {}
425
  }
426
  },
427
+ "total_flos": 6.53458201903104e+16,
428
  "train_batch_size": 8,
429
  "trial_name": null,
430
  "trial_params": null