bart-base-translate-en-vi

This model is a fine-tuned version of GuysTrans/bart-base-translate-en-vi on the mt_eng_vietnamese dataset. It achieves the following results on the evaluation set:

• Loss: 0.6744
• Rouge1: 56.0521
• Rouge2: 34.1329
• Rougel: 47.1473
• Rougelsum: 47.8238
• Bleu: 12.7027
• Gen Len: 19.9921

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: 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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu	Gen Len
0.661	1.0	16665	0.6744	56.0521	34.1329	47.1473	47.8238	12.7027	19.9921

Framework versions

• Transformers 4.26.1
• Pytorch 2.1.0+cu118
• Datasets 2.10.1
• Tokenizers 0.13.3