bart-base-vn-ehealth-vn-tokenizer

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

• Loss: 1.8861
• Rouge1: 18.3743
• Rouge2: 8.2872
• Rougel: 15.0815
• Rougelsum: 16.566
• Bleu-1: 0.0006
• Bleu-2: 0.0004
• Bleu-3: 0.0003
• Bleu-4: 0.0002
• Gen Len: 20.0

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu-1	Bleu-2	Bleu-3	Bleu-4	Gen Len
2.0519	1.0	21772	1.8861	18.3743	8.2872	15.0815	16.566	0.0006	0.0004	0.0003	0.0002	20.0

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3