---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: mt5-small-gigatrue-slovak-D-34567
  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-34567

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: 3.1159

## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 4.8045        | 0.1015 | 3000  | 3.3921          |
| 4.1932        | 0.2030 | 6000  | 3.2547          |
| 4.1098        | 0.3044 | 9000  | 3.2044          |
| 4.0752        | 0.4059 | 12000 | 3.1740          |
| 4.0515        | 0.5074 | 15000 | 3.1574          |
| 4.0446        | 0.6089 | 18000 | 3.1490          |
| 4.036         | 0.7104 | 21000 | 3.1390          |
| 4.0298        | 0.8119 | 24000 | 3.1365          |
| 4.0273        | 0.9133 | 27000 | 3.1308          |
| 4.023         | 1.0148 | 30000 | 3.1286          |
| 4.0229        | 1.1163 | 33000 | 3.1245          |
| 4.0158        | 1.2178 | 36000 | 3.1234          |
| 4.0163        | 1.3193 | 39000 | 3.1217          |
| 4.0156        | 1.4207 | 42000 | 3.1208          |
| 4.0147        | 1.5222 | 45000 | 3.1194          |
| 4.0114        | 1.6237 | 48000 | 3.1172          |
| 4.0113        | 1.7252 | 51000 | 3.1181          |
| 4.0097        | 1.8267 | 54000 | 3.1170          |
| 4.0105        | 1.9282 | 57000 | 3.1161          |
| 4.0115        | 2.0296 | 60000 | 3.1166          |
| 4.0117        | 2.1311 | 63000 | 3.1167          |
| 4.0082        | 2.2326 | 66000 | 3.1160          |
| 4.0089        | 2.3341 | 69000 | 3.1157          |
| 4.0087        | 2.4356 | 72000 | 3.1156          |
| 4.0104        | 2.5370 | 75000 | 3.1158          |
| 4.0088        | 2.6385 | 78000 | 3.1159          |
| 4.007         | 2.7400 | 81000 | 3.1159          |
| 4.0116        | 2.8415 | 84000 | 3.1160          |
| 4.0099        | 2.9430 | 87000 | 3.1159          |


### Framework versions

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