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

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0213
- Score: 28.7290
- 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:----------:|:----------:|:----:|
| 0.0604        | 1.0   | 11598 | 0.0277          | 28.6422 | 6          | 0          | 2    |
| 0.041         | 2.0   | 23196 | 0.0224          | 28.7007 | 6          | 0          | 2    |
| 0.0366        | 3.0   | 34794 | 0.0213          | 28.7290 | 6          | 0          | 2    |


### Framework versions

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