---
license: apache-2.0
base_model: google/byt5-small
tags:
- generated_from_trainer
model-index:
- name: byt5_3k_4d
  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. -->

# byt5_3k_4d

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: 0.0734

## 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: 800
- eval_batch_size: 800
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 4    | 0.0858          |
| No log        | 2.0   | 8    | 0.0784          |
| 0.2758        | 3.0   | 12   | 0.0821          |
| 0.2758        | 4.0   | 16   | 0.0756          |
| 0.2665        | 5.0   | 20   | 0.0801          |
| 0.2665        | 6.0   | 24   | 0.0745          |
| 0.2665        | 7.0   | 28   | 0.0699          |
| 0.2578        | 8.0   | 32   | 0.0731          |
| 0.2578        | 9.0   | 36   | 0.0740          |
| 0.254         | 10.0  | 40   | 0.0734          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2