---
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mBART_slang_to_standard_1
  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_1

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: 0.0006
- Bleu: 88.9448
- Gen Len: 41.403

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.7894        | 1.0   | 2266 | 0.1850          | 58.9932 | 61.974  |
| 0.0343        | 2.0   | 4532 | 0.0064          | 88.295  | 41.529  |
| 0.0051        | 3.0   | 6798 | 0.0006          | 88.9448 | 41.403  |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1