electra_multiple_choice
This model is a fine-tuned version of google/electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2639
- Accuracy: 0.58
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-06
- 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4223 | 1.0 | 3207 | 1.1865 | 0.54 |
| 1.2131 | 2.0 | 6414 | 1.0817 | 0.555 |
| 1.0754 | 3.0 | 9621 | 1.0016 | 0.61 |
| 0.9402 | 4.0 | 12828 | 0.9841 | 0.595 |
| 0.8207 | 5.0 | 16035 | 0.9912 | 0.63 |
| 0.7163 | 6.0 | 19242 | 1.0808 | 0.58 |
| 0.6187 | 7.0 | 22449 | 1.0956 | 0.6 |
| 0.5425 | 8.0 | 25656 | 1.1526 | 0.63 |
| 0.4763 | 9.0 | 28863 | 1.2639 | 0.58 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3