| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - imagefolder | |
| model-index: | |
| - name: git-base-pokemon | |
| 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. --> | |
| # git-base-pokemon | |
| This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.4530 | |
| - Wer Score: 16.5809 | |
| ## 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: 128 | |
| - eval_batch_size: 128 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 256 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 50 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer Score | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:| | |
| | 7.2955 | 16.67 | 50 | 5.0105 | 21.4433 | | |
| | 3.6221 | 33.33 | 100 | 2.2745 | 21.3860 | | |
| | 1.8264 | 50.0 | 150 | 1.4530 | 16.5809 | | |
| ### Framework versions | |
| - Transformers 4.27.4 | |
| - Pytorch 1.13.0a0+d321be6 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 | |