---
library_name: transformers
license: apache-2.0
base_model: google/mt5-large
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-large-finetuned-norwegian
  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-large-finetuned-norwegian

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8439
- Rouge1: 20.3786
- Rouge2: 9.3936
- Rougel: 17.7493
- Rougelsum: 18.6037

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 9.2094        | 1.0   | 18   | 3.7149          | 16.3818 | 4.3429  | 13.0076 | 13.4039   |
| 4.1851        | 2.0   | 36   | 3.4349          | 18.7804 | 6.4406  | 15.4037 | 17.0282   |
| 3.4627        | 3.0   | 54   | 3.1672          | 19.8826 | 9.1029  | 16.2944 | 17.7482   |
| 3.0208        | 4.0   | 72   | 2.9852          | 20.9577 | 10.0017 | 16.8634 | 18.7444   |
| 2.7108        | 5.0   | 90   | 2.8552          | 21.0429 | 10.7747 | 18.0074 | 19.1268   |
| 2.6392        | 6.0   | 108  | 2.7793          | 23.4492 | 11.9814 | 20.2148 | 21.1514   |
| 2.4402        | 7.0   | 126  | 2.7472          | 21.8771 | 11.9814 | 18.9203 | 19.9279   |
| 2.4144        | 8.0   | 144  | 2.7253          | 21.0632 | 10.8657 | 19.1266 | 19.6957   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0