README.md

metadata

library_name: transformers
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
  - generated_from_trainer
datasets:
  - iva_mt_wslot
metrics:
  - bleu
model-index:
  - name: mbart-translation
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: iva_mt_wslot
          type: iva_mt_wslot
          config: en-pl
          split: validation
          args: en-pl
        metrics:
          - name: Bleu
            type: bleu
            value: 40.615

mbart-translation

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the iva_mt_wslot dataset. It achieves the following results on the evaluation set:

• Loss: 1.0132
• Bleu: 40.615
• Gen Len: 14.4961

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use 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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.0632	1.0	2546	1.0132	40.615	14.4961

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3