Buatan-Finetuned-UCF_RGBCROP-Aug-4B32F
This model is a fine-tuned version of TanAlexanderlz/3_Buatan_RGBCROP_Aug-4B32F on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8993
- Accuracy: 0.6548
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1050
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0801 | 0.1 | 105 | 0.8599 | 0.75 |
| 0.0035 | 1.1 | 210 | 1.6105 | 0.7361 |
| 0.0001 | 2.1 | 315 | 1.1519 | 0.8194 |
| 0.0 | 3.1 | 420 | 1.0968 | 0.8333 |
| 0.0 | 4.1 | 525 | 1.1146 | 0.8333 |
| 0.0 | 5.1 | 630 | 1.1586 | 0.8333 |
| 0.0 | 6.1 | 735 | 1.1721 | 0.8333 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
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