metadata

license: apache-2.0
base_model: GuysTrans/bart-base-vn-ehealth-vn-tokenizer
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-base-vn-ehealth-vn-tokenizer
    results: []

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