---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-km-phoneme
  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-small-km-phoneme

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5647
- Rouge1: 86.1261
- Rouge2: 75.069
- Rougel: 85.8365
- Rougelsum: 85.8199
- Gen Len: 9.4504

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.0708        | 1.0   | 2514 | 0.7873          | 81.0997 | 66.3068 | 80.6177 | 80.6219   | 9.3808  |
| 0.8576        | 2.0   | 5028 | 0.6091          | 85.158  | 73.3987 | 84.8532 | 84.8374   | 9.4117  |
| 0.813         | 3.0   | 7542 | 0.5647          | 86.1261 | 75.069  | 85.8365 | 85.8199   | 9.4504  |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3