| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-224-in21k |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| model-index: |
| - name: datrix-image-classification-job_5472a213 |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: imagefolder |
| type: imagefolder |
| config: default |
| split: validation |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.25660377358490566 |
| --- |
| |
| <!-- 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. --> |
|
|
| # datrix-image-classification-job_5472a213 |
| |
| This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.7470 |
| - Accuracy: 0.2566 |
| |
| ## 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: 32 |
| - eval_batch_size: 64 |
| - 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 |
| - lr_scheduler_warmup_steps: 0.1 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 3.5699 | 1.0 | 239 | 3.5545 | 0.0642 | |
| | 3.3479 | 2.0 | 478 | 3.3057 | 0.1170 | |
| | 3.2327 | 3.0 | 717 | 3.1975 | 0.1208 | |
| | 3.1248 | 4.0 | 956 | 3.0876 | 0.1434 | |
| | 3.0689 | 5.0 | 1195 | 2.9798 | 0.1736 | |
| | 2.9669 | 6.0 | 1434 | 2.9051 | 0.2038 | |
| | 2.9706 | 7.0 | 1673 | 2.8224 | 0.2151 | |
| | 2.9171 | 8.0 | 1912 | 2.7895 | 0.2528 | |
| | 2.8688 | 9.0 | 2151 | 2.7562 | 0.2528 | |
| | 2.8695 | 10.0 | 2390 | 2.7470 | 0.2566 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.9.0 |
| - Pytorch 2.12.0+cu130 |
| - Datasets 5.0.0 |
| - Tokenizers 0.22.2 |
| |
