distilgpt2-finetuned-wikitext2-agu
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1869
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7357 | 1.0 | 13655 | 3.6781 |
| 3.5721 | 2.0 | 27310 | 3.5302 |
| 3.4961 | 3.0 | 40965 | 3.4658 |
| 3.4406 | 4.0 | 54620 | 3.4242 |
| 3.4043 | 5.0 | 68275 | 3.3943 |
| 3.3789 | 6.0 | 81930 | 3.3726 |
| 3.3576 | 7.0 | 95585 | 3.3538 |
| 3.3389 | 8.0 | 109240 | 3.3389 |
| 3.3151 | 9.0 | 122895 | 3.3270 |
| 3.314 | 5.0 | 136545 | 3.3226 |
| 3.3044 | 6.0 | 163854 | 3.3124 |
| 3.2931 | 7.0 | 191163 | 3.3078 |
| 3.2874 | 8.0 | 218472 | 3.3094 |
| 3.2817 | 9.0 | 245781 | 3.2943 |
| 3.269 | 10.0 | 273090 | 3.2785 |
| 3.2423 | 11.0 | 300399 | 3.2651 |
| 3.2253 | 12.0 | 327708 | 3.2530 |
| 3.2096 | 13.0 | 355017 | 3.2435 |
| 3.1939 | 14.0 | 382326 | 3.2326 |
| 3.1786 | 15.0 | 409635 | 3.2225 |
| 3.1625 | 16.0 | 436944 | 3.2198 |
| 3.1619 | 17.0 | 464253 | 3.2180 |
| 3.1521 | 18.0 | 491562 | 3.2164 |
| 3.1555 | 19.0 | 518871 | 3.2152 |
| 3.1523 | 20.0 | 546180 | 3.2164 |
| 3.1639 | 21.0 | 573489 | 3.2133 |
| 3.1483 | 22.0 | 600798 | 3.2113 |
| 3.1497 | 23.0 | 628107 | 3.2077 |
| 3.1468 | 24.0 | 655416 | 3.2066 |
| 3.1461 | 25.0 | 682725 | 3.2052 |
| 3.1391 | 26.0 | 710034 | 3.2039 |
| 3.1384 | 27.0 | 737343 | 3.2031 |
| 3.135 | 28.0 | 764652 | 3.2020 |
| 3.1262 | 29.0 | 791961 | 3.2015 |
| 3.1357 | 30.0 | 819270 | 3.2019 |
| 3.1372 | 31.0 | 846579 | 3.2003 |
| 3.1346 | 32.0 | 873888 | 3.1988 |
| 3.134 | 33.0 | 901197 | 3.1975 |
| 3.1256 | 34.0 | 928506 | 3.1965 |
| 3.1261 | 35.0 | 955815 | 3.1950 |
| 3.1255 | 36.0 | 983124 | 3.1945 |
| 3.1278 | 37.0 | 1010433 | 3.1940 |
| 3.1186 | 38.0 | 1037742 | 3.1934 |
| 3.1136 | 39.0 | 1065051 | 3.1932 |
| 3.12 | 40.0 | 1092360 | 3.1931 |
| 3.12 | 41.0 | 1119669 | 3.1930 |
| 3.1165 | 42.0 | 1146978 | 3.1914 |
| 3.1166 | 43.0 | 1174287 | 3.1900 |
| 3.1139 | 44.0 | 1201596 | 3.1892 |
| 3.1135 | 45.0 | 1228905 | 3.1885 |
| 3.1077 | 46.0 | 1256214 | 3.1881 |
| 3.1097 | 47.0 | 1283523 | 3.1873 |
| 3.1076 | 48.0 | 1310832 | 3.1872 |
| 3.102 | 49.0 | 1338141 | 3.1870 |
| 3.1086 | 50.0 | 1365450 | 3.1869 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1
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