T5FineTune

Pavitra05/T5FineTune

T5FineTune is a machine learning model from Pavitra05. 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 apache-2.0.

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

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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Nov 17, 2023
Updated: Nov 17, 2023
SHA: 0431febd

Base models

google/flan-t5-base

Model card

From the Hugging Face model README

T5FineTune

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.1869
Rouge1: 0.2412
Rouge2: 0.0125
Rougel: 0.2437
Rougelsum: 0.2456

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: 0.0003
train_batch_size: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	40	2.4261	0.1017	0.0625	0.1004	0.1013
No log	2.0	80	2.1869	0.2412	0.0125	0.2437	0.2456

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 17, 2023
Updated: Nov 17, 2023