t5-fine-tuned

SouthMemphis/t5-fine-tuned

t5-fine-tuned is a machine learning model from SouthMemphis. 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: Feb 28, 2024
Updated: Feb 28, 2024
SHA: 59a138ac

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

t5-fine-tuned

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

Loss: 2.2693
Bleu: 0.0266
Gen Len: 18.6386

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.6619	1.0	875	2.3101	0.0119	18.7209
2.4541	2.0	1750	2.2693	0.0266	18.6386

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu118
Datasets 2.17.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 28, 2024
Updated: Feb 28, 2024