---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: mt5-small-gigatrue-slovak-D-456
  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-D-456

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: 2.6412

## 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: 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 4.5083        | 0.1015 | 3000  | 2.8375          |
| 3.6752        | 0.2030 | 6000  | 2.7422          |
| 3.598         | 0.3044 | 9000  | 2.7021          |
| 3.5651        | 0.4059 | 12000 | 2.6863          |
| 3.5409        | 0.5074 | 15000 | 2.6730          |
| 3.5353        | 0.6089 | 18000 | 2.6633          |
| 3.5268        | 0.7104 | 21000 | 2.6614          |
| 3.5223        | 0.8119 | 24000 | 2.6543          |
| 3.5185        | 0.9133 | 27000 | 2.6546          |
| 3.515         | 1.0148 | 30000 | 2.6510          |
| 3.5138        | 1.1163 | 33000 | 2.6481          |
| 3.508         | 1.2178 | 36000 | 2.6456          |
| 3.5071        | 1.3193 | 39000 | 2.6427          |
| 3.5058        | 1.4207 | 42000 | 2.6433          |
| 3.5063        | 1.5222 | 45000 | 2.6441          |
| 3.5003        | 1.6237 | 48000 | 2.6423          |
| 3.5018        | 1.7252 | 51000 | 2.6439          |
| 3.4992        | 1.8267 | 54000 | 2.6423          |
| 3.5011        | 1.9282 | 57000 | 2.6425          |
| 3.5017        | 2.0296 | 60000 | 2.6415          |
| 3.5014        | 2.1311 | 63000 | 2.6422          |
| 3.4996        | 2.2326 | 66000 | 2.6411          |
| 3.4998        | 2.3341 | 69000 | 2.6423          |
| 3.5002        | 2.4356 | 72000 | 2.6412          |
| 3.5011        | 2.5370 | 75000 | 2.6415          |
| 3.5005        | 2.6385 | 78000 | 2.6411          |
| 3.4975        | 2.7400 | 81000 | 2.6413          |
| 3.5013        | 2.8415 | 84000 | 2.6411          |
| 3.5006        | 2.9430 | 87000 | 2.6412          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3