| library_name: transformers | |
| license: apache-2.0 | |
| base_model: google/vit-base-patch16-224-in21k | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: datrix-image-classification-job_be9b4baa | |
| 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. --> | |
| # datrix-image-classification-job_be9b4baa | |
| This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.7996 | |
| - Accuracy: 0.6466 | |
| ## 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 | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 1.0352 | 1.0 | 33 | 0.8677 | 0.5940 | | |
| | 0.8291 | 2.0 | 66 | 0.7996 | 0.6466 | | |
| | 0.8582 | 3.0 | 99 | 0.7889 | 0.6316 | | |
| ### Framework versions | |
| - Transformers 5.9.0 | |
| - Pytorch 2.12.0+cu130 | |
| - Datasets 4.8.5 | |
| - Tokenizers 0.22.2 | |