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

This model is a fine-tuned version of [nozagleh/mt5-small-finetuned-icelandic-summary](https://huggingface.co/nozagleh/mt5-small-finetuned-icelandic-summary) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0847
- Rouge1: 24.7758
- Rouge2: 13.6541
- Rougel: 22.0304
- Rougelsum: 22.8727

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.6294        | 1.0   | 2552  | 2.1826          | 23.9594 | 13.1502 | 21.2044 | 22.1031   |
| 2.5328        | 2.0   | 5104  | 2.1888          | 24.0688 | 13.178  | 21.3606 | 22.1735   |
| 2.4571        | 3.0   | 7656  | 2.1371          | 24.1003 | 13.3883 | 21.4866 | 22.3277   |
| 2.4024        | 4.0   | 10208 | 2.1331          | 24.2949 | 13.2282 | 21.5826 | 22.4117   |
| 2.3513        | 5.0   | 12760 | 2.1198          | 24.1912 | 13.2633 | 21.5876 | 22.3797   |
| 2.3141        | 6.0   | 15312 | 2.1283          | 24.3672 | 13.2826 | 21.5934 | 22.472    |
| 2.2853        | 7.0   | 17864 | 2.0878          | 24.5056 | 13.3639 | 21.7807 | 22.6229   |
| 2.2567        | 8.0   | 20416 | 2.0952          | 24.4647 | 13.428  | 21.7303 | 22.6027   |
| 2.2373        | 9.0   | 22968 | 2.0908          | 24.5012 | 13.3905 | 21.7448 | 22.6278   |
| 2.2203        | 10.0  | 25520 | 2.0889          | 24.5345 | 13.4032 | 21.7559 | 22.6362   |
| 2.2033        | 11.0  | 28072 | 2.0857          | 24.7518 | 13.5923 | 21.9905 | 22.8425   |
| 2.199         | 12.0  | 30624 | 2.0847          | 24.7758 | 13.6541 | 22.0304 | 22.8727   |


### Framework versions

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