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mBart50-tl-en2vi-lora

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

  • Loss: 6.6172
  • Bleu: 34.4063
  • Gen Len: 32.7321

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: 0.0005
  • 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: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
6.9999 0.21 2000 6.6880 32.0922 32.1749
6.9674 0.42 4000 6.6544 32.7344 32.7289
6.9357 0.63 6000 6.6310 34.0802 32.4878
6.9162 0.84 8000 6.6172 34.4063 32.7321

Framework versions

  • PEFT 0.9.1.dev0
  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2
  • Datasets 2.1.0
  • Tokenizers 0.15.2
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Adapter for

Dataset used to train hautran7201/mBart50-tl-en2vi-lora