---
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