deberta-v3-base-finetuned-subjective
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: 1.0300
- Accuracy: 0.54
- F1: 0.5372
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 |
|---|---|---|---|---|---|
| 1.3623 | 1.0 | 26 | 1.3154 | 0.33 | 0.1638 |
| 1.2452 | 2.0 | 52 | 1.1446 | 0.465 | 0.3791 |
| 1.1157 | 3.0 | 78 | 1.0573 | 0.53 | 0.5277 |
| 1.0187 | 4.0 | 104 | 1.0184 | 0.54 | 0.5403 |
| 0.9542 | 5.0 | 130 | 1.0300 | 0.54 | 0.5372 |
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-subjective
Base model
microsoft/deberta-v3-base