deberta_sent4455
This model is a fine-tuned version of kisti/korscideberta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6488
- Accuracy: 0.7860
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: 1.5e-05
- train_batch_size: 16
- 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: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9289 | 1.32 | 500 | 0.9097 | 0.6835 |
| 0.5205 | 2.64 | 1000 | 0.7150 | 0.7593 |
| 0.3888 | 3.96 | 1500 | 0.6488 | 0.7860 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3