trash_classifier2
This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.0806
- Accuracy: 0.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.477 | 1.0 | 102 | 2.0441 | 0.0 |
| 1.3737 | 2.0 | 204 | 2.0723 | 0.0 |
| 1.5232 | 3.0 | 306 | 2.1164 | 0.0 |
| 1.1161 | 4.0 | 408 | 2.0944 | 0.0 |
| 1.1238 | 5.0 | 510 | 2.0806 | 0.0 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
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Model tree for aiaicom/trash_classifier2
Base model
microsoft/resnet-50