---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mBart50_large_torch
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mBart50_large_torch

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9535
- Rouge1: 0.1566
- Rouge2: 0.0333
- Rougel: 0.1242
- Rougelsum: 0.124
- Gen Len: 88.63

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.1667        | 1.0   | 800  | 2.6328          | 0.102  | 0.0214 | 0.091  | 0.0909    | 81.98   |
| 1.9765        | 2.0   | 1600 | 2.5806          | 0.1317 | 0.0273 | 0.1096 | 0.1099    | 87.67   |
| 1.4771        | 3.0   | 2400 | 2.7266          | 0.1482 | 0.0321 | 0.1225 | 0.1227    | 92.88   |
| 1.0086        | 4.0   | 3200 | 2.9535          | 0.1566 | 0.0333 | 0.1242 | 0.124     | 88.63   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3