distilbert_distilbert-base-uncased-15-epoch
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.5739
- Accuracy: 0.4129
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: 5e-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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2998 | 1.0 | 5714 | 1.3409 | 0.3419 |
| 1.1366 | 2.0 | 11428 | 1.3753 | 0.3634 |
| 0.9035 | 3.0 | 17142 | 1.4999 | 0.3794 |
| 0.6883 | 4.0 | 22856 | 1.7468 | 0.3906 |
| 0.5177 | 5.0 | 28570 | 2.1011 | 0.3997 |
| 0.3968 | 6.0 | 34284 | 2.2910 | 0.4009 |
| 0.2936 | 7.0 | 39998 | 2.8000 | 0.4121 |
| 0.2403 | 8.0 | 45712 | 2.7002 | 0.4086 |
| 0.1843 | 9.0 | 51426 | 3.4014 | 0.4160 |
| 0.1478 | 10.0 | 57140 | 3.5690 | 0.4057 |
| 0.1231 | 11.0 | 62854 | 4.3858 | 0.4102 |
| 0.1027 | 12.0 | 68568 | 4.6814 | 0.4124 |
| 0.0897 | 13.0 | 74282 | 4.9962 | 0.4186 |
| 0.0823 | 14.0 | 79996 | 6.0199 | 0.4160 |
| 0.0631 | 15.0 | 85710 | 6.5739 | 0.4129 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0