bart-base-vn-ehealth-tokenizer

GuysTrans/bart-base-vn-ehealth-tokenizer

bart-base-vn-ehealth-tokenizer is a machine learning model from GuysTrans. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
Model type: mbart
Access: Public
Created: Oct 29, 2023
Updated: Nov 4, 2023
SHA: 8b40120d

Base models

vinai/bartpho-syllable

Model card

From the Hugging Face model README

bart-base-vn-ehealth-tokenizer

This model is a fine-tuned version of vinai/bartpho-syllable on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5573
Rouge1: 19.5871
Rouge2: 9.8761
Rougel: 16.1785
Rougelsum: 18.0628
Bleu-1: 0.0074
Bleu-2: 0.0054
Bleu-3: 0.0039
Bleu-4: 0.0028
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
1.6631	1.0	17418	1.5573	19.5871	9.8761	16.1785	18.0628	0.0074	0.0054	0.0039	0.0028	20.0

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Library: transformers
Type: mbart
Created: Oct 29, 2023
Updated: Nov 4, 2023