electra-small-discriminator-finetuned-combined
This model is a fine-tuned version of google/electra-small-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9867
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4549 | 1.0 | 3729 | 1.0343 |
| 1.2366 | 2.0 | 7458 | 0.9665 |
| 1.0805 | 3.0 | 11187 | 0.9867 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.0
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/electra-small-discriminator