README.md

---
base_model: google/mt5-small
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mt5-base-ainu-kana
  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. -->

# mt5-base-ainu-kana

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0804
- Chrf: 97.6659

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Chrf    |
|:-------------:|:------:|:-----:|:---------------:|:-------:|
| 0.3825        | 0.9999 | 4701  | 0.2094          | 93.1478 |
| 0.213         | 2.0    | 9403  | 0.1313          | 95.6819 |
| 0.1512        | 2.9999 | 14104 | 0.1083          | 96.3753 |
| 0.1164        | 4.0    | 18806 | 0.1005          | 96.6527 |
| 0.0979        | 4.9999 | 23507 | 0.0901          | 97.1337 |
| 0.0844        | 6.0    | 28209 | 0.0859          | 97.2226 |
| 0.0779        | 6.9999 | 32910 | 0.0807          | 97.4449 |
| 0.0574        | 8.0    | 37612 | 0.0817          | 97.5779 |
| 0.0544        | 8.9999 | 42313 | 0.0802          | 97.6210 |
| 0.0484        | 9.9989 | 47010 | 0.0804          | 97.6659 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1