---
library_name: peft
license: apache-2.0
base_model: google/mt5-base
tags:
- base_model:adapter:google/mt5-base
- lora
- transformers
model-index:
- name: mT5_tai-lo_to_chinese_LoRA_ver1.0.k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mT5_tai-lo_to_chinese_LoRA_ver1.0.k

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1796
- Chrf: 16.1759

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 16
- seed: 1
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 4000
- training_steps: 10000

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Chrf    |
|:-------------:|:------:|:-----:|:---------------:|:-------:|
| 9.1427        | 0.9337 | 1000  | 3.4432          | 0.1313  |
| 3.6246        | 1.8674 | 2000  | 3.2296          | 0.713   |
| 3.4624        | 2.8011 | 3000  | 3.3720          | 0.2161  |
| 3.2719        | 3.7348 | 4000  | 2.9802          | 2.1503  |
| 3.1149        | 4.6685 | 5000  | 2.8530          | 3.3285  |
| 2.8582        | 5.6022 | 6000  | 2.5916          | 7.6784  |
| 2.6203        | 6.5359 | 7000  | 2.4117          | 7.1325  |
| 2.4322        | 7.4697 | 8000  | 2.3129          | 12.998  |
| 2.2501        | 8.4034 | 9000  | 2.2295          | 11.9602 |
| 2.1502        | 9.3371 | 10000 | 2.1796          | 16.1759 |


### Framework versions

- PEFT 0.19.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2