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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: byt5-small-wikipron-eng-latn-au-broad
  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-small-wikipron-eng-latn-au-broad

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: 0.1875
- Per: 0.3296
- Gen Len: 16.2507

## 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: 0.0002
- train_batch_size: 128
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Per    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.4225        | 1.0   | 243  | 0.3885          | 0.5182 | 16.046  |
| 0.386         | 2.0   | 486  | 0.2610          | 0.4201 | 16.1472 |
| 0.2876        | 3.0   | 729  | 0.2242          | 0.3699 | 16.1972 |
| 0.2459        | 4.0   | 972  | 0.2073          | 0.3501 | 16.25   |
| 0.2236        | 5.0   | 1215 | 0.1966          | 0.3402 | 16.2254 |
| 0.207         | 6.0   | 1458 | 0.1953          | 0.337  | 16.2453 |
| 0.1971        | 7.0   | 1701 | 0.1879          | 0.3339 | 16.2523 |
| 0.1888        | 8.0   | 1944 | 0.1879          | 0.3319 | 16.2565 |
| 0.1829        | 9.0   | 2187 | 0.1869          | 0.3305 | 16.2509 |
| 0.1783        | 10.0  | 2430 | 0.1875          | 0.3296 | 16.2507 |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2