distilbert_sst5_padding60model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1071
- Accuracy: 0.5005
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2904 | 1.0 | 534 | 1.2735 | 0.4204 |
| 1.0348 | 2.0 | 1068 | 1.1222 | 0.5217 |
| 0.8515 | 3.0 | 1602 | 1.1982 | 0.5172 |
| 0.6867 | 4.0 | 2136 | 1.3441 | 0.5018 |
| 0.5308 | 5.0 | 2670 | 1.5426 | 0.4964 |
| 0.396 | 6.0 | 3204 | 1.7466 | 0.5032 |
| 0.3113 | 7.0 | 3738 | 1.9661 | 0.4959 |
| 0.2237 | 8.0 | 4272 | 2.3050 | 0.4882 |
| 0.1863 | 9.0 | 4806 | 2.4120 | 0.5068 |
| 0.1458 | 10.0 | 5340 | 2.7065 | 0.4950 |
| 0.1202 | 11.0 | 5874 | 3.0306 | 0.4900 |
| 0.1124 | 12.0 | 6408 | 3.1912 | 0.5041 |
| 0.0838 | 13.0 | 6942 | 3.3632 | 0.5050 |
| 0.0798 | 14.0 | 7476 | 3.6172 | 0.4968 |
| 0.0475 | 15.0 | 8010 | 3.7530 | 0.4973 |
| 0.0436 | 16.0 | 8544 | 3.7669 | 0.5014 |
| 0.0302 | 17.0 | 9078 | 3.9727 | 0.5023 |
| 0.0223 | 18.0 | 9612 | 4.0368 | 0.5054 |
| 0.0236 | 19.0 | 10146 | 4.0607 | 0.5077 |
| 0.0247 | 20.0 | 10680 | 4.1071 | 0.5005 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3