electra-base-discriminator-finetuned-filtered-0609
This model is a fine-tuned version of google/electra-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1933
- Accuracy: 0.9745
- Precision: 0.9747
- Recall: 0.9745
- F1: 0.9746
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.238 | 1.0 | 3180 | 0.1861 | 0.9682 | 0.9686 | 0.9682 | 0.9682 |
| 0.1827 | 2.0 | 6360 | 0.2262 | 0.9645 | 0.9648 | 0.9645 | 0.9644 |
| 0.1326 | 3.0 | 9540 | 0.1904 | 0.9711 | 0.9716 | 0.9711 | 0.9712 |
| 0.1575 | 4.0 | 12720 | 0.2065 | 0.9676 | 0.9680 | 0.9676 | 0.9676 |
| 0.1224 | 5.0 | 15900 | 0.2666 | 0.9557 | 0.9571 | 0.9557 | 0.9558 |
| 0.1083 | 6.0 | 19080 | 0.1697 | 0.9752 | 0.9754 | 0.9752 | 0.9752 |
| 0.0792 | 7.0 | 22260 | 0.1684 | 0.9742 | 0.9744 | 0.9742 | 0.9742 |
| 0.0751 | 8.0 | 25440 | 0.1784 | 0.9723 | 0.9726 | 0.9723 | 0.9723 |
| 0.0572 | 9.0 | 28620 | 0.1868 | 0.9736 | 0.9737 | 0.9736 | 0.9736 |
| 0.0593 | 10.0 | 31800 | 0.1933 | 0.9745 | 0.9747 | 0.9745 | 0.9746 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.9.1+cu111
- Datasets 1.16.1
- Tokenizers 0.12.1