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

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: 0.5256
- Score: 43.6341
- Char Order: 6
- Word Order: 0
- Beta: 2

## 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: 16
- eval_batch_size: 16
- 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 | Score   | Char Order | Word Order | Beta |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:----------:|:----------:|:----:|
| 1.2999        | 1.0   | 2105 | 0.7759          | 36.9398 | 6          | 0          | 2    |
| 0.87          | 2.0   | 4210 | 0.5735          | 41.0183 | 6          | 0          | 2    |
| 0.7796        | 3.0   | 6315 | 0.5256          | 43.6341 | 6          | 0          | 2    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1