metadata
library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: multiun
results: []
multiun
This model is a fine-tuned version of facebook/mbart-large-50 on the Helsinki-NLP/multiun dataset. It achieves the following results on the evaluation set:
- Loss: 1.0111
- Bleu: 48.9323
- Gen Len: 31.9584
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 469 | 1.1402 | 44.7592 | 31.1336 |
| 3.1839 | 2.0 | 938 | 1.0111 | 48.9323 | 31.9584 |
Framework versions
- Transformers 4.50.1
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1