| base_model: microsoft/trocr-large-handwritten | |
| library_name: peft | |
| metrics: | |
| - wer | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: output | |
| 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. --> | |
| # output | |
| This model is a fine-tuned version of [microsoft/trocr-large-handwritten](https://huggingface.co/microsoft/trocr-large-handwritten) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.2610 | |
| - Wer: 0.5593 | |
| ## 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: 0.0001 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - training_steps: 1000 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:------:|:----:|:---------------:|:------:| | |
| | 3.0289 | 0.2561 | 500 | 2.4179 | 0.5862 | | |
| | 2.7336 | 0.5122 | 1000 | 2.2610 | 0.5593 | | |
| ### Framework versions | |
| - PEFT 0.11.1 | |
| - Transformers 4.44.2 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 |