<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
distilbert-base-uncased-becasv2-5
This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 3.0409
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 5.3475 |
| No log | 2.0 | 12 | 4.6045 |
| No log | 3.0 | 18 | 4.1832 |
| No log | 4.0 | 24 | 3.8223 |
| No log | 5.0 | 30 | 3.4798 |
| No log | 6.0 | 36 | 3.2615 |
| No log | 7.0 | 42 | 3.1414 |
| No log | 8.0 | 48 | 3.1067 |
| No log | 9.0 | 54 | 2.9950 |
| No log | 10.0 | 60 | 2.9482 |
| No log | 11.0 | 66 | 2.9536 |
| No log | 12.0 | 72 | 3.0180 |
| No log | 13.0 | 78 | 3.0515 |
| No log | 14.0 | 84 | 3.0444 |
| No log | 15.0 | 90 | 3.0409 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
