transformers pytorch tensorboard mbart text2text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: mbart_finetuned_dialect_translation_4
  results: []
---

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# mbart_finetuned_dialect_translation_4

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: 0.0109
- Bleu: 99.3856
- Gen Len: 14.951

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.1512        | 1.0   | 938  | 0.0563          | 98.0769 | 14.981  |
| 0.044         | 2.0   | 1876 | 0.0244          | 98.639  | 14.962  |
| 0.0214        | 3.0   | 2814 | 0.0109          | 99.3856 | 14.951  |


### Framework versions

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