metadata
license: mit
base_model: facebook/mbart-large-50
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-en-translation
results: []
mbart-en-translation
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2646
- Bleu: 51.3603
- Gen Len: 51.072
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 282 | 1.0701 | 46.0434 | 49.7947 |
| 1.2218 | 2.0 | 564 | 0.9959 | 49.3118 | 50.584 |
| 1.2218 | 3.0 | 846 | 1.0847 | 50.359 | 51.352 |
| 0.311 | 4.0 | 1128 | 1.2012 | 50.6484 | 50.9733 |
| 0.311 | 5.0 | 1410 | 1.2646 | 51.3603 | 51.072 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2