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

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: 1.9291
- Rouge1: 15.9842
- Rouge2: 5.0275
- Rougel: 12.6308
- Rougelsum: 14.0073

## 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: 0.001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.6446        | 1.0   | 108450 | 2.4043          | 13.4797 | 3.1596 | 10.6012 | 11.798    |
| 2.3864        | 2.0   | 216900 | 2.3327          | 13.955  | 3.387  | 10.9208 | 12.165    |
| 2.3381        | 3.0   | 325350 | 2.2699          | 14.2671 | 3.5872 | 11.1539 | 12.4443   |
| 2.2583        | 4.0   | 433800 | 2.2085          | 14.5162 | 3.9249 | 11.4167 | 12.697    |
| 2.178         | 5.0   | 542250 | 2.1429          | 14.8376 | 4.1524 | 11.6426 | 12.9856   |
| 2.0847        | 6.0   | 650700 | 2.0678          | 15.0717 | 4.3497 | 11.8584 | 13.1779   |
| 1.9676        | 7.0   | 759150 | 1.9866          | 15.7074 | 4.7106 | 12.3935 | 13.7652   |
| 1.8196        | 8.0   | 867600 | 1.9291          | 15.9842 | 5.0275 | 12.6308 | 14.0073   |


### Framework versions

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