| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: ViT-chess-V4 | |
| 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. --> | |
| # ViT-chess-V4 | |
| This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 4.2867 | |
| - Accuracy: 0.1942 | |
| ## 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: 10 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:------:|:---------------:|:--------:| | |
| | 5.4877 | 1.0 | 45000 | 5.4554 | 0.1044 | | |
| | 4.9794 | 2.0 | 90000 | 5.0001 | 0.1371 | | |
| | 4.5956 | 3.0 | 135000 | 4.6720 | 0.1596 | | |
| | 4.3402 | 4.0 | 180000 | 4.4082 | 0.1834 | | |
| | 4.097 | 5.0 | 225000 | 4.2867 | 0.1942 | | |
| ### Framework versions | |
| - Transformers 4.18.0 | |
| - Pytorch 1.11.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |