GuysTrans/bart-base-vn-re-attention-vn-tokenizer

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bart-base-vn-re-attention-vn-tokenizer

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 2.4481
• —Rouge1: 18.0845
• —Rouge2: 8.2722
• —Rougel: 15.4154
• —Rougelsum: 16.6591
• —Bleu-1: 0.0007
• —Bleu-2: 0.0004
• —Bleu-3: 0.0002
• —Bleu-4: 0.0001
• —Gen Len: 19.811

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.0.0
• —Datasets 2.1.0
• —Tokenizers 0.14.1