---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: mt5-small-gigatrue-slovak
  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-gigatrue-slovak

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: 2.1758

## 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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- 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

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 3.5063        | 0.1015 | 3000  | 2.3075          |
| 2.998         | 0.2030 | 6000  | 2.2417          |
| 2.9368        | 0.3044 | 9000  | 2.2237          |
| 2.9102        | 0.4059 | 12000 | 2.2064          |
| 2.8894        | 0.5074 | 15000 | 2.2052          |
| 2.8837        | 0.6089 | 18000 | 2.1945          |
| 2.8756        | 0.7104 | 21000 | 2.1984          |
| 2.8718        | 0.8119 | 24000 | 2.1881          |
| 2.868         | 0.9133 | 27000 | 2.1868          |
| 2.8644        | 1.0148 | 30000 | 2.1816          |
| 2.8644        | 1.1163 | 33000 | 2.1815          |
| 2.8566        | 1.2178 | 36000 | 2.1785          |
| 2.858         | 1.3193 | 39000 | 2.1745          |
| 2.8558        | 1.4207 | 42000 | 2.1784          |
| 2.8559        | 1.5222 | 45000 | 2.1775          |
| 2.85          | 1.6237 | 48000 | 2.1783          |
| 2.8521        | 1.7252 | 51000 | 2.1777          |
| 2.8488        | 1.8267 | 54000 | 2.1782          |
| 2.8501        | 1.9282 | 57000 | 2.1760          |
| 2.8521        | 2.0296 | 60000 | 2.1773          |
| 2.8526        | 2.1311 | 63000 | 2.1764          |
| 2.8494        | 2.2326 | 66000 | 2.1774          |
| 2.8501        | 2.3341 | 69000 | 2.1765          |
| 2.8489        | 2.4356 | 72000 | 2.1771          |
| 2.8501        | 2.5370 | 75000 | 2.1763          |
| 2.8506        | 2.6385 | 78000 | 2.1762          |
| 2.8472        | 2.7400 | 81000 | 2.1762          |
| 2.8512        | 2.8415 | 84000 | 2.1758          |
| 2.8494        | 2.9430 | 87000 | 2.1758          |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.21.0