deberta_textclassification
This model is a fine-tuned version of microsoft/deberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2786
- Accuracy: 0.9467
- F1: 0.9622
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2349 | 1.0 | 1520 | 0.2316 | 0.9388 | 0.9565 |
| 0.1801 | 2.0 | 3040 | 0.2382 | 0.9467 | 0.9621 |
| 0.0914 | 3.0 | 4560 | 0.2786 | 0.9467 | 0.9622 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.4.0
- Tokenizers 0.19.1
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Model tree for duynhatran/deberta_textclassification
Base model
microsoft/deberta-base