metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: custom_model
results: []
custom_model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7420
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 1.4865 | 1.0 | 369 | 1.3129 |
| 1.2021 | 2.0 | 738 | 1.1809 |
| 1.0322 | 3.0 | 1107 | 1.1234 |
| 0.9008 | 4.0 | 1476 | 1.0991 |
| 0.8134 | 5.0 | 1845 | 1.0827 |
| 0.7293 | 6.0 | 2214 | 1.0923 |
| 0.6539 | 7.0 | 2583 | 1.0942 |
| 0.5962 | 8.0 | 2952 | 1.1175 |
| 0.546 | 9.0 | 3321 | 1.1365 |
| 0.4915 | 10.0 | 3690 | 1.1490 |
| 0.4523 | 11.0 | 4059 | 1.1860 |
| 0.4204 | 12.0 | 4428 | 1.1977 |
| 0.3831 | 13.0 | 4797 | 1.2311 |
| 0.357 | 14.0 | 5166 | 1.2499 |
| 0.3378 | 15.0 | 5535 | 1.2674 |
| 0.3203 | 16.0 | 5904 | 1.2902 |
| 0.2943 | 17.0 | 6273 | 1.3226 |
| 0.2796 | 18.0 | 6642 | 1.3355 |
| 0.2679 | 19.0 | 7011 | 1.3618 |
| 0.2479 | 20.0 | 7380 | 1.3775 |
| 0.2361 | 21.0 | 7749 | 1.3995 |
| 0.2274 | 22.0 | 8118 | 1.4151 |
| 0.2102 | 23.0 | 8487 | 1.4315 |
| 0.1994 | 24.0 | 8856 | 1.4490 |
| 0.1943 | 25.0 | 9225 | 1.4714 |
| 0.1777 | 26.0 | 9594 | 1.4906 |
| 0.1697 | 27.0 | 9963 | 1.5078 |
| 0.1602 | 28.0 | 10332 | 1.5293 |
| 0.1497 | 29.0 | 10701 | 1.5457 |
| 0.1403 | 30.0 | 11070 | 1.5652 |
| 0.1315 | 31.0 | 11439 | 1.5814 |
| 0.124 | 32.0 | 11808 | 1.5987 |
| 0.1142 | 33.0 | 12177 | 1.6151 |
| 0.1057 | 34.0 | 12546 | 1.6354 |
| 0.1002 | 35.0 | 12915 | 1.6508 |
| 0.093 | 36.0 | 13284 | 1.6641 |
| 0.0867 | 37.0 | 13653 | 1.6808 |
| 0.081 | 38.0 | 14022 | 1.6866 |
| 0.076 | 39.0 | 14391 | 1.7061 |
| 0.0716 | 40.0 | 14760 | 1.7150 |
| 0.067 | 41.0 | 15129 | 1.7232 |
| 0.0638 | 42.0 | 15498 | 1.7322 |
| 0.0598 | 43.0 | 15867 | 1.7388 |
| 0.0575 | 44.0 | 16236 | 1.7446 |
| 0.0539 | 45.0 | 16605 | 1.7524 |
| 0.0525 | 46.0 | 16974 | 1.7580 |
| 0.0505 | 47.0 | 17343 | 1.7609 |
| 0.0479 | 48.0 | 17712 | 1.7612 |
| 0.0473 | 49.0 | 18081 | 1.7642 |
| 0.0462 | 50.0 | 18450 | 1.7644 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2