---
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-en-to-ta
  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-en-to-ta

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4647
- Bleu: 11.1468
- Gen Len: 13.55

## 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: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 5    | 4.5933          | 0.671   | 12.3    |
| No log        | 2.0   | 10   | 3.2502          | 1.6986  | 21.4    |
| No log        | 3.0   | 15   | 2.8232          | 2.4901  | 11.75   |
| No log        | 4.0   | 20   | 2.6240          | 5.2271  | 13.45   |
| No log        | 5.0   | 25   | 2.5471          | 3.0107  | 13.45   |
| No log        | 6.0   | 30   | 2.5015          | 5.5026  | 13.6    |
| No log        | 7.0   | 35   | 2.4671          | 6.4173  | 13.45   |
| No log        | 8.0   | 40   | 2.4647          | 11.1468 | 13.55   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1