fastvlm-textile-defect
This model is a fine-tuned version of apple/FastVLM-1.5B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2383
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: 1
- eval_batch_size: 1
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5375 | 1.0 | 332 | 0.5844 |
| 0.3039 | 2.0 | 664 | 0.3623 |
| 0.1281 | 3.0 | 996 | 0.2383 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Downloads last month
- 16
Model tree for aazgr/fastvlm-textile-defect
Base model
apple/FastVLM-1.5B