---
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-large-50-many-to-many-mmt-finetuned-pt-to-en-arabic-hindi
  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-many-to-many-mmt-finetuned-pt-to-en-arabic-hindi

This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8373
- Bleu: 5.0308
- Gen Len: 52.3902

## 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: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 77   | 2.9700          | 1.8614 | 49.3137 |
| No log        | 2.0   | 154  | 2.8490          | 2.477  | 49.817  |
| No log        | 3.0   | 231  | 2.9014          | 2.9323 | 51.0426 |
| No log        | 4.0   | 308  | 3.0640          | 3.7026 | 62.0698 |
| No log        | 5.0   | 385  | 3.2683          | 3.9123 | 49.7686 |
| No log        | 6.0   | 462  | 3.4488          | 4.2838 | 52.1925 |
| 1.7841        | 7.0   | 539  | 3.5876          | 4.6755 | 53.1631 |
| 1.7841        | 8.0   | 616  | 3.7173          | 4.4499 | 48.1984 |
| 1.7841        | 9.0   | 693  | 3.7868          | 4.8237 | 51.9214 |
| 1.7841        | 10.0  | 770  | 3.8373          | 5.0308 | 52.3902 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1