Cat Dog Classifier

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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 5.10.2
• Pytorch 2.12.0+cu130
• Datasets 4.0.0
• Tokenizers 0.22.2

--- library_name: transformers license: apache-2.0 base_model: google/vit-base-patch16-224 tags: - generated_from_trainer metrics: - accuracy model-index: - name: cat-dog-classifier results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # cat-dog-classifier This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0002 - Accuracy: 1.0 ## 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: 5e-05 - train_batch_size: 4 - eval_batch_size: 4 - 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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.0003 | 1.0 | 7 | 0.0017 | 1.0 | | 0.0001 | 2.0 | 14 | 0.0007 | 1.0 | | 0.0000 | 3.0 | 21 | 0.0004 | 1.0 | | 0.0000 | 4.0 | 28 | 0.0003 | 1.0 | | 0.0000 | 5.0 | 35 | 0.0002 | 1.0 | | 0.0000 | 6.0 | 42 | 0.0002 | 1.0 | | 0.0000 | 7.0 | 49 | 0.0002 | 1.0 | | 0.0000 | 8.0 | 56 | 0.0002 | 1.0 | | 0.0000 | 9.0 | 63 | 0.0002 | 1.0 | | 0.0000 | 10.0 | 70 | 0.0002 | 1.0 | ### Framework versions - Transformers 5.10.2 - Pytorch 2.12.0+cu130 - Datasets 4.0.0 - Tokenizers 0.22.2