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deberta-v3-base-TEST
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: 0.3559
- Precision: 0.9466
- Recall: 0.9466
- F1: 0.9466
- Accuracy: 0.9466
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3895 | 1.0 | 2500 | 0.3901 | 0.9180 | 0.9180 | 0.9180 | 0.9180 |
| 0.2499 | 2.0 | 5000 | 0.3513 | 0.9368 | 0.9368 | 0.9368 | 0.9368 |
| 0.13 | 3.0 | 7500 | 0.3559 | 0.9466 | 0.9466 | 0.9466 | 0.9466 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
