metadata
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: []
mbart-en-np-seqtoseq-sentence-translation
This model is a fine-tuned version of 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