CodeIsAbstract commited on
Commit
382f966
·
verified ·
1 Parent(s): 22c69b8

Training in progress, step 4000, checkpoint

Browse files
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1f907b0bed5e2f8cf858db047aa22f79320ace855462d3e01515d8384d133c06
3
  size 1976267
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1568527f327df07256f5a6c4e9bbd9b77a59a0494cbe6ba8a95a0e7c9329df65
3
  size 1976267
last-checkpoint/pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5ed1d8ea23bc21d353cc09795bf8da7e15e7897910a93e297620cb29f241e863
3
  size 741336195
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4c813450e0c95fd384d2ff2898b39d648674b117ab52e8fd7daff5eed04513e6
3
  size 741336195
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1598f69323c5211489e239f2a4a33d79e9afe5826ee72973f1d7e1a5afa7e09a
3
  size 14455
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa51b6645b4eccecb101cadb683ef0e972138fa3a9aba5da3ee559d38423cf09
3
  size 14455
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fc933910f13fa41b7f95dbbbc23336663568ef33e75bf367c77b2082bd938180
3
  size 1465
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d04230f28149ed35951faa6c0efeb666df4e8906da2d72b8b274de5d8730258
3
  size 1465
last-checkpoint/trainer_state.json CHANGED
@@ -2,9 +2,9 @@
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
- "epoch": 0.04,
6
  "eval_steps": 1000,
7
- "global_step": 2000,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
@@ -166,6 +166,164 @@
166
  "eval_samples_per_second": 114.538,
167
  "eval_steps_per_second": 14.317,
168
  "step": 2000
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
169
  }
170
  ],
171
  "logging_steps": 100,
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 0.08,
6
  "eval_steps": 1000,
7
+ "global_step": 4000,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
 
166
  "eval_samples_per_second": 114.538,
167
  "eval_steps_per_second": 14.317,
168
  "step": 2000
169
+ },
170
+ {
171
+ "epoch": 0.042,
172
+ "grad_norm": 5.402246475219727,
173
+ "learning_rate": 1.6792e-05,
174
+ "loss": 6.878953857421875,
175
+ "step": 2100
176
+ },
177
+ {
178
+ "epoch": 0.044,
179
+ "grad_norm": 5.448638916015625,
180
+ "learning_rate": 1.7592000000000004e-05,
181
+ "loss": 6.885161743164063,
182
+ "step": 2200
183
+ },
184
+ {
185
+ "epoch": 0.046,
186
+ "grad_norm": 5.395037651062012,
187
+ "learning_rate": 1.8392e-05,
188
+ "loss": 6.817017822265625,
189
+ "step": 2300
190
+ },
191
+ {
192
+ "epoch": 0.048,
193
+ "grad_norm": 7.231200695037842,
194
+ "learning_rate": 1.9192000000000002e-05,
195
+ "loss": 6.765516357421875,
196
+ "step": 2400
197
+ },
198
+ {
199
+ "epoch": 0.05,
200
+ "grad_norm": 4.857005596160889,
201
+ "learning_rate": 1.9992e-05,
202
+ "loss": 6.7409033203125,
203
+ "step": 2500
204
+ },
205
+ {
206
+ "epoch": 0.052,
207
+ "grad_norm": 4.149160861968994,
208
+ "learning_rate": 1.9999785636239034e-05,
209
+ "loss": 6.67716064453125,
210
+ "step": 2600
211
+ },
212
+ {
213
+ "epoch": 0.054,
214
+ "grad_norm": 3.6910853385925293,
215
+ "learning_rate": 1.9999133871331222e-05,
216
+ "loss": 6.673251342773438,
217
+ "step": 2700
218
+ },
219
+ {
220
+ "epoch": 0.056,
221
+ "grad_norm": 5.89624547958374,
222
+ "learning_rate": 1.9998044711915177e-05,
223
+ "loss": 6.649310302734375,
224
+ "step": 2800
225
+ },
226
+ {
227
+ "epoch": 0.058,
228
+ "grad_norm": 5.415604114532471,
229
+ "learning_rate": 1.999651820563426e-05,
230
+ "loss": 6.534013061523438,
231
+ "step": 2900
232
+ },
233
+ {
234
+ "epoch": 0.06,
235
+ "grad_norm": 7.183228969573975,
236
+ "learning_rate": 1.99945544192628e-05,
237
+ "loss": 6.565379028320312,
238
+ "step": 3000
239
+ },
240
+ {
241
+ "epoch": 0.06,
242
+ "eval_accuracy": 0.1556751467710372,
243
+ "eval_loss": 6.592763900756836,
244
+ "eval_runtime": 8.7378,
245
+ "eval_samples_per_second": 114.445,
246
+ "eval_steps_per_second": 14.306,
247
+ "step": 3000
248
+ },
249
+ {
250
+ "epoch": 0.062,
251
+ "grad_norm": 8.597551345825195,
252
+ "learning_rate": 1.9992153438703174e-05,
253
+ "loss": 6.53469970703125,
254
+ "step": 3100
255
+ },
256
+ {
257
+ "epoch": 0.064,
258
+ "grad_norm": 3.4981071949005127,
259
+ "learning_rate": 1.9989315368982053e-05,
260
+ "loss": 6.47679931640625,
261
+ "step": 3200
262
+ },
263
+ {
264
+ "epoch": 0.066,
265
+ "grad_norm": 6.5537614822387695,
266
+ "learning_rate": 1.99860403342458e-05,
267
+ "loss": 6.47298828125,
268
+ "step": 3300
269
+ },
270
+ {
271
+ "epoch": 0.068,
272
+ "grad_norm": 5.503767967224121,
273
+ "learning_rate": 1.9982328477755036e-05,
274
+ "loss": 6.516907348632812,
275
+ "step": 3400
276
+ },
277
+ {
278
+ "epoch": 0.07,
279
+ "grad_norm": 11.562784194946289,
280
+ "learning_rate": 1.9978179961878405e-05,
281
+ "loss": 6.511883544921875,
282
+ "step": 3500
283
+ },
284
+ {
285
+ "epoch": 0.072,
286
+ "grad_norm": 36.503265380859375,
287
+ "learning_rate": 1.9973594968085412e-05,
288
+ "loss": 6.553932495117188,
289
+ "step": 3600
290
+ },
291
+ {
292
+ "epoch": 0.074,
293
+ "grad_norm": 199.27720642089844,
294
+ "learning_rate": 1.996857369693855e-05,
295
+ "loss": 7.200830688476563,
296
+ "step": 3700
297
+ },
298
+ {
299
+ "epoch": 0.076,
300
+ "grad_norm": 1094.3033447265625,
301
+ "learning_rate": 1.996311636808449e-05,
302
+ "loss": 7.753666381835938,
303
+ "step": 3800
304
+ },
305
+ {
306
+ "epoch": 0.078,
307
+ "grad_norm": 472.0617370605469,
308
+ "learning_rate": 1.9957223220244462e-05,
309
+ "loss": 7.77503173828125,
310
+ "step": 3900
311
+ },
312
+ {
313
+ "epoch": 0.08,
314
+ "grad_norm": 270.61187744140625,
315
+ "learning_rate": 1.9950894511203855e-05,
316
+ "loss": 7.76434814453125,
317
+ "step": 4000
318
+ },
319
+ {
320
+ "epoch": 0.08,
321
+ "eval_accuracy": 0.04172015655577299,
322
+ "eval_loss": 7.808525085449219,
323
+ "eval_runtime": 8.5336,
324
+ "eval_samples_per_second": 117.184,
325
+ "eval_steps_per_second": 14.648,
326
+ "step": 4000
327
  }
328
  ],
329
  "logging_steps": 100,