vit5-base-finetuned-VN

honganhle/vit5-base-finetuned-VN

vit5-base-finetuned-VN is a machine learning model from honganhle. 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. The card lists the license as mit.

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

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At a glance

Library: transformers
License: mit
Model type: t5
Access: Public
Created: Apr 28, 2024
Updated: Apr 28, 2024
SHA: 4b481b8a

Model card

From the Hugging Face model README

vit5-base-finetuned-VN

This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8246
Rouge1: 46.3428
Rouge2: 20.2208
Rougel: 32.2913
Rougelsum: 32.4194
Gen Len: 18.9541

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
2.1117	1.0	2007	1.8246	46.3428	20.2208	32.2913	32.4194	18.9541

Framework versions

Transformers 4.30.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: mit
Created: Apr 28, 2024
Updated: Apr 28, 2024