deberta-v3-base-finetuned-t_value
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2736
- Accuracy: 0.97
- F1: 0.9726
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6946 | 1.0 | 26 | 0.6792 | 0.395 | 0.5181 |
| 0.6304 | 2.0 | 52 | 0.4900 | 0.82 | 0.8706 |
| 0.4186 | 3.0 | 78 | 0.3621 | 0.97 | 0.9726 |
| 0.2977 | 4.0 | 104 | 0.3089 | 0.97 | 0.9726 |
| 0.2423 | 5.0 | 130 | 0.2736 | 0.97 | 0.9726 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
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Model tree for Gregorig/deberta-v3-base-finetuned-t_value
Base model
microsoft/deberta-v3-base