---
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mBART_slang_to_standard_augmented
  results: []
---

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

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: 0.0284
- Bleu: 96.9375
- Gen Len: 41.456

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.8419        | 1.0   | 3366  | 0.2810          | 76.5247 | 47.684  |
| 1.0628        | 2.0   | 6732  | 0.0525          | 93.5929 | 44.108  |
| 0.7883        | 3.0   | 10098 | 0.0284          | 96.9375 | 41.456  |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1