---
license: mit
base_model: facebook/mbart-large-50
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mbart-large-50-finetuned-model-hu_1121
  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. -->

# mbart-large-50-finetuned-model-hu_1121

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6534
- Rouge1: 35.6227
- Rouge2: 13.0189
- Rougel: 22.0402
- Rougelsum: 26.9175

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.9553        | 1.0   | 21353  | 2.5450          | 33.3195 | 12.2415 | 21.2029 | 25.3382   |
| 2.2811        | 2.0   | 42706  | 2.3570          | 33.6149 | 11.975  | 20.9943 | 25.726    |
| 1.9886        | 3.0   | 64059  | 2.3144          | 34.6221 | 12.2867 | 21.7798 | 26.1901   |
| 1.7463        | 4.0   | 85412  | 2.3198          | 35.2114 | 12.9183 | 22.215  | 27.1176   |
| 1.5245        | 5.0   | 106765 | 2.3774          | 35.1147 | 13.1621 | 22.3167 | 26.9264   |
| 1.3222        | 6.0   | 128118 | 2.4642          | 35.5719 | 13.1532 | 22.0023 | 26.8084   |
| 1.1456        | 7.0   | 149471 | 2.5673          | 35.9156 | 13.2115 | 22.2552 | 27.2581   |
| 1.0087        | 8.0   | 170824 | 2.6534          | 35.6227 | 13.0189 | 22.0402 | 26.9175   |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1