bartpho-syllable-vn-ehealth

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

• Loss: 0.4964
• Rouge1: 8.5504
• Rouge2: 3.6991
• Rougel: 8.095
• Rougelsum: 8.2219
• 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	Gen Len
0.5729	1.0	17418	0.4964	8.5504	3.6991	8.095	8.2219	20.0

Framework versions

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