| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/byt5-small |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: IOC |
| 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. --> |
|
|
| # IOC |
|
|
| This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3699 |
| - Cer: 0.1666 |
| - Cer Raw: 0.1865 |
| - Exact Match: 0.1572 |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0003 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - 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 |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 7 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Cer | Cer Raw | Exact Match | |
| |:-------------:|:------:|:-----:|:---------------:|:------:|:-------:|:-----------:| |
| | 0.3578 | 3.5487 | 20000 | 0.3699 | 0.1666 | 0.1865 | 0.1572 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.6 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.3.0 |
| - Tokenizers 0.22.2 |
| |
