sentence-correction-t5-base

ayakiri/sentence-correction-t5-base

sentence-correction-t5-base is a machine learning model from ayakiri. 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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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jan 28, 2025
Updated: Jan 28, 2025
SHA: 240fce47

Base models

Model card

From the Hugging Face model README

sentence-correction-t5-base

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5388

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	374	0.5577
0.6047	2.0	748	0.5417
0.4606	3.0	1122	0.5375
0.4606	4.0	1496	0.5388

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 28, 2025
Updated: Jan 28, 2025