---
library_name: peft
license: apache-2.0
base_model: google/mt5-base
tags:
- base_model:adapter:google/mt5-base
- lora
- transformers
model-index:
- name: outputs
  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. -->

# outputs

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: 4.1438
- Chrf: 0.3504

## 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: 0.01
- train_batch_size: 4
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 2000.0
- training_steps: 20000

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Chrf   |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| 6.5309        | 0.9337 | 2000  | 6.1412          | 0.0    |
| 5.0243        | 1.8674 | 4000  | 4.7869          | 0.0    |
| 5.8503        | 2.8011 | 6000  | 4.6079          | 0.0    |
| 4.8561        | 3.7348 | 8000  | 5.4843          | 0.3906 |
| 5.3422        | 4.6685 | 10000 | 4.6969          | 0.1913 |
| 5.1278        | 5.6022 | 12000 | 4.5267          | 0.0638 |
| 4.7362        | 6.5359 | 14000 | 4.4173          | 0.5746 |
| 4.8027        | 7.4697 | 16000 | 4.2625          | 0.1913 |
| 4.4404        | 8.4034 | 18000 | 4.1877          | 0.1276 |
| 4.3010        | 9.3371 | 20000 | 4.1438          | 0.3504 |


### Framework versions

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