finetuned-ai-real-beit
This model is a fine-tuned version of vikas117/finetuned-ai-real-beit on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2805
- Accuracy: 0.9339
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4366 | 0.4545 | 10 | 0.0494 | 0.9752 |
| 0.0713 | 0.9091 | 20 | 0.1101 | 0.9587 |
| 0.0302 | 1.3636 | 30 | 0.2225 | 0.9587 |
| 0.0531 | 1.8182 | 40 | 0.2805 | 0.9339 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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