---
license: apache-2.0
base_model: google/byt5-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: bn2ipa2braincells-byt5-small
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bn2ipa2braincells-byt5-small

This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0193
- Wer: 0.0176

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.473         | 0.7   | 4000  | 0.0418          | 0.1341 |
| 0.0394        | 1.39  | 8000  | 0.0281          | 0.0623 |
| 0.03          | 2.09  | 12000 | 0.0258          | 0.0607 |
| 0.0236        | 2.78  | 16000 | 0.0196          | 0.0476 |
| 0.0195        | 3.48  | 20000 | 0.0189          | 0.0395 |
| 0.0168        | 4.17  | 24000 | 0.0201          | 0.0352 |
| 0.0139        | 4.87  | 28000 | 0.0174          | 0.0278 |
| 0.0113        | 5.57  | 32000 | 0.0165          | 0.0271 |
| 0.0093        | 6.26  | 36000 | 0.0165          | 0.0229 |
| 0.008         | 6.96  | 40000 | 0.0159          | 0.0213 |
| 0.0055        | 7.65  | 44000 | 0.0166          | 0.0203 |
| 0.0049        | 8.35  | 48000 | 0.0178          | 0.0191 |
| 0.0036        | 9.05  | 52000 | 0.0179          | 0.0183 |
| 0.0023        | 9.74  | 56000 | 0.0193          | 0.0176 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1