---
library_name: peft
license: apache-2.0
base_model: google/mt5-xl
tags:
- generated_from_trainer
model-index:
- name: mT5-finetuned
  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-finetuned

This model is a fine-tuned version of [google/mt5-xl](https://huggingface.co/google/mt5-xl) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0545

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 250  | 3.3187          |
| 4.5221        | 2.0   | 500  | 3.1072          |
| 4.5221        | 3.0   | 750  | 3.0545          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0