enriquesaou commited on
Commit
6ff4495
1 Parent(s): 87d9710

End of training

Browse files
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
3
  base_model: google-t5/t5-small
4
  tags:
5
  - generated_from_trainer
 
 
6
  model-index:
7
  - name: debug_seq2seq_squad
8
  results: []
@@ -14,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
14
  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/wdlupjr7)
15
  # debug_seq2seq_squad
16
 
17
- This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
 
 
18
 
19
  ## Model description
20
 
 
3
  base_model: google-t5/t5-small
4
  tags:
5
  - generated_from_trainer
6
+ datasets:
7
+ - squad_v2
8
  model-index:
9
  - name: debug_seq2seq_squad
10
  results: []
 
16
  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/wdlupjr7)
17
  # debug_seq2seq_squad
18
 
19
+ This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the squad_v2 dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.7565
22
 
23
  ## Model description
24
 
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "eval_loss": 0.7564865946769714,
4
+ "eval_runtime": 109.7627,
5
+ "eval_samples": 12309,
6
+ "eval_samples_per_second": 112.142,
7
+ "eval_steps_per_second": 14.021,
8
+ "total_flos": 2.645641233904435e+16,
9
+ "train_loss": 0.5331895410246172,
10
+ "train_runtime": 7144.6567,
11
+ "train_samples": 130319,
12
+ "train_samples_per_second": 36.48,
13
+ "train_steps_per_second": 3.04
14
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "eval_loss": 0.7564865946769714,
4
+ "eval_runtime": 109.7627,
5
+ "eval_samples": 12309,
6
+ "eval_samples_per_second": 112.142,
7
+ "eval_steps_per_second": 14.021
8
+ }
runs/Jun03_20-36-48_3ae2d9ab28bf/events.out.tfevents.1717454282.3ae2d9ab28bf.7388.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:793ce4c20be7b4c6587b21c6f440034e6c1d1f2e85d951eb1406c9cc4c1846b0
3
+ size 364
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "total_flos": 2.645641233904435e+16,
4
+ "train_loss": 0.5331895410246172,
5
+ "train_runtime": 7144.6567,
6
+ "train_samples": 130319,
7
+ "train_samples_per_second": 36.48,
8
+ "train_steps_per_second": 3.04
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,343 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 21720,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04604051565377532,
13
+ "grad_norm": 4.105458736419678,
14
+ "learning_rate": 2.930939226519337e-05,
15
+ "loss": 0.7338,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.09208103130755065,
20
+ "grad_norm": 6.632126331329346,
21
+ "learning_rate": 2.861878453038674e-05,
22
+ "loss": 0.6214,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.13812154696132597,
27
+ "grad_norm": 5.542463302612305,
28
+ "learning_rate": 2.7928176795580113e-05,
29
+ "loss": 0.6065,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.1841620626151013,
34
+ "grad_norm": 8.155370712280273,
35
+ "learning_rate": 2.7237569060773482e-05,
36
+ "loss": 0.5881,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 0.2302025782688766,
41
+ "grad_norm": 3.674407720565796,
42
+ "learning_rate": 2.6546961325966852e-05,
43
+ "loss": 0.582,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 0.27624309392265195,
48
+ "grad_norm": 3.3256947994232178,
49
+ "learning_rate": 2.585635359116022e-05,
50
+ "loss": 0.577,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 0.32228360957642727,
55
+ "grad_norm": 4.420624732971191,
56
+ "learning_rate": 2.516574585635359e-05,
57
+ "loss": 0.5748,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 0.3683241252302026,
62
+ "grad_norm": 5.609716892242432,
63
+ "learning_rate": 2.4475138121546964e-05,
64
+ "loss": 0.5532,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 0.4143646408839779,
69
+ "grad_norm": 10.64582633972168,
70
+ "learning_rate": 2.3784530386740334e-05,
71
+ "loss": 0.5705,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 0.4604051565377532,
76
+ "grad_norm": 4.55027437210083,
77
+ "learning_rate": 2.3093922651933703e-05,
78
+ "loss": 0.5542,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 0.5064456721915286,
83
+ "grad_norm": 4.849785327911377,
84
+ "learning_rate": 2.2403314917127073e-05,
85
+ "loss": 0.5561,
86
+ "step": 5500
87
+ },
88
+ {
89
+ "epoch": 0.5524861878453039,
90
+ "grad_norm": 7.6427154541015625,
91
+ "learning_rate": 2.1712707182320442e-05,
92
+ "loss": 0.5427,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 0.5985267034990792,
97
+ "grad_norm": 4.943839073181152,
98
+ "learning_rate": 2.1022099447513815e-05,
99
+ "loss": 0.548,
100
+ "step": 6500
101
+ },
102
+ {
103
+ "epoch": 0.6445672191528545,
104
+ "grad_norm": 3.1242663860321045,
105
+ "learning_rate": 2.0331491712707185e-05,
106
+ "loss": 0.5401,
107
+ "step": 7000
108
+ },
109
+ {
110
+ "epoch": 0.6906077348066298,
111
+ "grad_norm": 4.478808403015137,
112
+ "learning_rate": 1.9640883977900554e-05,
113
+ "loss": 0.5444,
114
+ "step": 7500
115
+ },
116
+ {
117
+ "epoch": 0.7366482504604052,
118
+ "grad_norm": 5.4113054275512695,
119
+ "learning_rate": 1.8950276243093924e-05,
120
+ "loss": 0.545,
121
+ "step": 8000
122
+ },
123
+ {
124
+ "epoch": 0.7826887661141805,
125
+ "grad_norm": 3.117663860321045,
126
+ "learning_rate": 1.825966850828729e-05,
127
+ "loss": 0.5268,
128
+ "step": 8500
129
+ },
130
+ {
131
+ "epoch": 0.8287292817679558,
132
+ "grad_norm": 4.178927421569824,
133
+ "learning_rate": 1.7569060773480663e-05,
134
+ "loss": 0.5441,
135
+ "step": 9000
136
+ },
137
+ {
138
+ "epoch": 0.8747697974217311,
139
+ "grad_norm": 8.61349868774414,
140
+ "learning_rate": 1.6878453038674033e-05,
141
+ "loss": 0.5383,
142
+ "step": 9500
143
+ },
144
+ {
145
+ "epoch": 0.9208103130755064,
146
+ "grad_norm": 5.246815204620361,
147
+ "learning_rate": 1.6187845303867402e-05,
148
+ "loss": 0.5386,
149
+ "step": 10000
150
+ },
151
+ {
152
+ "epoch": 0.9668508287292817,
153
+ "grad_norm": 5.026543140411377,
154
+ "learning_rate": 1.5497237569060772e-05,
155
+ "loss": 0.5313,
156
+ "step": 10500
157
+ },
158
+ {
159
+ "epoch": 1.0128913443830572,
160
+ "grad_norm": 3.600374937057495,
161
+ "learning_rate": 1.4806629834254145e-05,
162
+ "loss": 0.5252,
163
+ "step": 11000
164
+ },
165
+ {
166
+ "epoch": 1.0589318600368325,
167
+ "grad_norm": 3.5238852500915527,
168
+ "learning_rate": 1.4116022099447514e-05,
169
+ "loss": 0.4928,
170
+ "step": 11500
171
+ },
172
+ {
173
+ "epoch": 1.1049723756906078,
174
+ "grad_norm": 4.74073600769043,
175
+ "learning_rate": 1.3425414364640886e-05,
176
+ "loss": 0.5087,
177
+ "step": 12000
178
+ },
179
+ {
180
+ "epoch": 1.1510128913443831,
181
+ "grad_norm": 8.856585502624512,
182
+ "learning_rate": 1.2734806629834255e-05,
183
+ "loss": 0.4898,
184
+ "step": 12500
185
+ },
186
+ {
187
+ "epoch": 1.1970534069981584,
188
+ "grad_norm": 8.898761749267578,
189
+ "learning_rate": 1.2044198895027623e-05,
190
+ "loss": 0.5066,
191
+ "step": 13000
192
+ },
193
+ {
194
+ "epoch": 1.2430939226519337,
195
+ "grad_norm": 5.918560028076172,
196
+ "learning_rate": 1.1353591160220994e-05,
197
+ "loss": 0.5149,
198
+ "step": 13500
199
+ },
200
+ {
201
+ "epoch": 1.289134438305709,
202
+ "grad_norm": 4.796153545379639,
203
+ "learning_rate": 1.0662983425414364e-05,
204
+ "loss": 0.5006,
205
+ "step": 14000
206
+ },
207
+ {
208
+ "epoch": 1.3351749539594844,
209
+ "grad_norm": 5.584662914276123,
210
+ "learning_rate": 9.972375690607735e-06,
211
+ "loss": 0.5058,
212
+ "step": 14500
213
+ },
214
+ {
215
+ "epoch": 1.3812154696132597,
216
+ "grad_norm": 9.456035614013672,
217
+ "learning_rate": 9.281767955801105e-06,
218
+ "loss": 0.4885,
219
+ "step": 15000
220
+ },
221
+ {
222
+ "epoch": 1.427255985267035,
223
+ "grad_norm": 3.6488196849823,
224
+ "learning_rate": 8.591160220994474e-06,
225
+ "loss": 0.4914,
226
+ "step": 15500
227
+ },
228
+ {
229
+ "epoch": 1.4732965009208103,
230
+ "grad_norm": 3.0951404571533203,
231
+ "learning_rate": 7.900552486187846e-06,
232
+ "loss": 0.5016,
233
+ "step": 16000
234
+ },
235
+ {
236
+ "epoch": 1.5193370165745856,
237
+ "grad_norm": 5.87822151184082,
238
+ "learning_rate": 7.209944751381215e-06,
239
+ "loss": 0.5117,
240
+ "step": 16500
241
+ },
242
+ {
243
+ "epoch": 1.565377532228361,
244
+ "grad_norm": 5.016966819763184,
245
+ "learning_rate": 6.519337016574586e-06,
246
+ "loss": 0.5134,
247
+ "step": 17000
248
+ },
249
+ {
250
+ "epoch": 1.6114180478821363,
251
+ "grad_norm": 8.312193870544434,
252
+ "learning_rate": 5.828729281767956e-06,
253
+ "loss": 0.4934,
254
+ "step": 17500
255
+ },
256
+ {
257
+ "epoch": 1.6574585635359116,
258
+ "grad_norm": 5.323014736175537,
259
+ "learning_rate": 5.1381215469613265e-06,
260
+ "loss": 0.5025,
261
+ "step": 18000
262
+ },
263
+ {
264
+ "epoch": 1.703499079189687,
265
+ "grad_norm": 4.238588809967041,
266
+ "learning_rate": 4.447513812154697e-06,
267
+ "loss": 0.4948,
268
+ "step": 18500
269
+ },
270
+ {
271
+ "epoch": 1.7495395948434622,
272
+ "grad_norm": 3.3375260829925537,
273
+ "learning_rate": 3.756906077348067e-06,
274
+ "loss": 0.5086,
275
+ "step": 19000
276
+ },
277
+ {
278
+ "epoch": 1.7955801104972375,
279
+ "grad_norm": 6.620930194854736,
280
+ "learning_rate": 3.0662983425414365e-06,
281
+ "loss": 0.4931,
282
+ "step": 19500
283
+ },
284
+ {
285
+ "epoch": 1.8416206261510129,
286
+ "grad_norm": 4.153687000274658,
287
+ "learning_rate": 2.375690607734807e-06,
288
+ "loss": 0.4853,
289
+ "step": 20000
290
+ },
291
+ {
292
+ "epoch": 1.8876611418047882,
293
+ "grad_norm": 5.683996677398682,
294
+ "learning_rate": 1.6850828729281769e-06,
295
+ "loss": 0.492,
296
+ "step": 20500
297
+ },
298
+ {
299
+ "epoch": 1.9337016574585635,
300
+ "grad_norm": 3.776688575744629,
301
+ "learning_rate": 9.944751381215469e-07,
302
+ "loss": 0.4876,
303
+ "step": 21000
304
+ },
305
+ {
306
+ "epoch": 1.979742173112339,
307
+ "grad_norm": 2.931673526763916,
308
+ "learning_rate": 3.0386740331491715e-07,
309
+ "loss": 0.5069,
310
+ "step": 21500
311
+ },
312
+ {
313
+ "epoch": 2.0,
314
+ "step": 21720,
315
+ "total_flos": 2.645641233904435e+16,
316
+ "train_loss": 0.5331895410246172,
317
+ "train_runtime": 7144.6567,
318
+ "train_samples_per_second": 36.48,
319
+ "train_steps_per_second": 3.04
320
+ }
321
+ ],
322
+ "logging_steps": 500,
323
+ "max_steps": 21720,
324
+ "num_input_tokens_seen": 0,
325
+ "num_train_epochs": 2,
326
+ "save_steps": 500,
327
+ "stateful_callbacks": {
328
+ "TrainerControl": {
329
+ "args": {
330
+ "should_epoch_stop": false,
331
+ "should_evaluate": false,
332
+ "should_log": false,
333
+ "should_save": true,
334
+ "should_training_stop": true
335
+ },
336
+ "attributes": {}
337
+ }
338
+ },
339
+ "total_flos": 2.645641233904435e+16,
340
+ "train_batch_size": 12,
341
+ "trial_name": null,
342
+ "trial_params": null
343
+ }