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---
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-en-np-seqtoseq-sentence-translation
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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/darvilab/Training%20Sentence%20Translation/runs/b7p9pw9o)
# mbart-en-np-seqtoseq-sentence-translation
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: 0.9597
- Bleu: 48.1358
- Gen Len: 9.3
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.9421 | 1.0 | 7 | 1.7883 | 10.4307 | 9.1 |
| 1.5462 | 2.0 | 14 | 1.3980 | 7.5693 | 7.5 |
| 1.0467 | 3.0 | 21 | 0.9333 | 45.1288 | 9.4 |
| 0.4864 | 4.0 | 28 | 0.9698 | 48.1358 | 9.3 |
| 0.4757 | 5.0 | 35 | 0.9597 | 48.1358 | 9.3 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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