ViT5_Dialogue_Summarization

chamdentimem/ViT5_Dialogue_Summarization

ViT5_Dialogue_Summarization is a machine learning model from chamdentimem. 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: Mar 10, 2024
Updated: Mar 22, 2024
SHA: 27bc05b0

Base models

VietAI/vit5-base

Model card

From the Hugging Face model README

ViT5_Dialogue_Summarization

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6377
Rouge1: 51.4583
Rouge2: 28.5387
Rougel: 40.9957
Rougelsum: 45.4297
Gen Len: 16.1661

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
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
0.5898	1.0	7366	0.6377	51.4583	28.5387	40.9957	45.4297	16.1661

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: mit
Created: Mar 10, 2024
Updated: Mar 22, 2024