---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: nb-mt5-base-finetuned-no-email-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. -->

# nb-mt5-base-finetuned-no-email-summary

This model is a fine-tuned version of [NbAiLab/nb-mt5-base](https://huggingface.co/NbAiLab/nb-mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0562
- Rouge1: 23.2345
- Rouge2: 9.8761
- Rougel: 21.7798
- Rougelsum: 21.7753

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 13.949        | 1.0   | 785  | 7.1715          | 2.2238  | 0.0    | 2.2256  | 2.2308    |
| 7.0892        | 2.0   | 1570 | 5.8052          | 12.5372 | 3.2395 | 12.1514 | 12.1407   |
| 5.9863        | 3.0   | 2355 | 5.0910          | 18.7517 | 6.61   | 17.5784 | 17.6163   |
| 5.3048        | 4.0   | 3140 | 4.6418          | 19.8868 | 7.6496 | 18.5489 | 18.5228   |
| 4.8419        | 5.0   | 3925 | 4.3614          | 19.7772 | 7.714  | 18.6827 | 18.6603   |
| 4.5517        | 6.0   | 4710 | 4.1811          | 22.1143 | 8.8939 | 20.6157 | 20.6484   |
| 4.3651        | 7.0   | 5495 | 4.0683          | 22.7613 | 9.6087 | 21.2802 | 21.297    |
| 4.2712        | 8.0   | 6280 | 4.0562          | 23.2345 | 9.8761 | 21.7798 | 21.7753   |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3