| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: microsoft/git-base |
| | 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: 0.1599 |
| | - Wer Score: 5.0450 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 64 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:| |
| | | 7.1299 | 12.5 | 50 | 4.6555 | 17.9965 | |
| | | 2.9648 | 25.0 | 100 | 1.3396 | 9.0415 | |
| | | 0.714 | 37.5 | 150 | 0.2845 | 7.8824 | |
| | | 0.1933 | 50.0 | 200 | 0.1599 | 5.0450 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.45.0.dev0 |
| | - Pytorch 2.2.1+cu118 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.19.1 |
| | |
