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

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: 2.3019
- Rouge1: 24.5314
- Rouge2: 13.108
- Rougel: 21.8551
- Rougelsum: 22.5551

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 4.2489        | 1.0   | 1914  | 2.6014          | 17.9396 | 6.9767  | 15.0632 | 15.8916   |
| 3.0569        | 2.0   | 3828  | 2.4547          | 21.317  | 10.0433 | 18.6257 | 19.3813   |
| 2.8661        | 3.0   | 5742  | 2.3843          | 23.6521 | 12.2829 | 21.0046 | 21.7077   |
| 2.7543        | 4.0   | 7656  | 2.3642          | 23.8878 | 12.7041 | 21.3321 | 22.0867   |
| 2.682         | 5.0   | 9570  | 2.3379          | 24.2206 | 12.9703 | 21.6077 | 22.3493   |
| 2.6276        | 6.0   | 11484 | 2.2974          | 24.5156 | 13.1087 | 21.8464 | 22.5609   |
| 2.588         | 7.0   | 13398 | 2.3012          | 24.7653 | 13.3338 | 22.0548 | 22.762    |
| 2.5723        | 8.0   | 15312 | 2.3019          | 24.5314 | 13.108  | 21.8551 | 22.5551   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0