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student_electra_small
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: 0.6385
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: 1022
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2869 | 0.4 | 1200 | 0.9636 |
| 0.9176 | 0.81 | 2400 | 0.8391 |
| 0.7991 | 1.21 | 3600 | 0.7501 |
| 0.7191 | 1.62 | 4800 | 0.6928 |
| 0.6846 | 2.02 | 6000 | 0.6669 |
| 0.6356 | 2.43 | 7200 | 0.6525 |
| 0.6087 | 2.83 | 8400 | 0.6383 |
| 0.5962 | 3.24 | 9600 | 0.6397 |
| 0.5749 | 3.64 | 10800 | 0.6385 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.13.2
