---
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-long-sumeczech
  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-long-sumeczech

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:
'eval_loss': 2.8214199542999268, 
'eval_rouge1': 12.8674, 
'eval_rouge2': 2.6891, 
'eval_rougeL': 10.0662, 
'eval_rougeLsum': 11.2368

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:------:|:---------:|
| 3.5441        | 1.0   | 15064  | 3.0664          | 11.0135 | 1.7163 | 8.2892 | 9.7803    |
| 3.4047        | 2.0   | 30128  | 2.9725          | 10.5507 | 1.8535 | 8.0843 | 9.3876    |
| 3.2782        | 3.0   | 45192  | 2.9240          | 10.5563 | 1.9566 | 8.1144 | 9.4192    |
| 3.2035        | 4.0   | 60256  | 2.8895          | 10.5418 | 2.0105 | 8.132  | 9.3701    |
| 3.1538        | 5.0   | 75320  | 2.8712          | 10.6085 | 1.9954 | 8.1587 | 9.4499    |
| 3.1197        | 6.0   | 90384  | 2.8562          | 10.6394 | 2.0582 | 8.1855 | 9.4841    |
| 3.0976        | 7.0   | 105448 | 2.8439          | 10.7537 | 2.0754 | 8.2822 | 9.5754    |
| 3.0849        | 8.0   | 120512 | 2.8402          | 10.751  | 2.1081 | 8.2982 | 9.5911    |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1