t5-small-samsum-finetuned

DylanBan/t5-small-samsum-finetuned

t5-small-samsum-finetuned is a machine learning model from DylanBan. 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: Sep 18, 2025
Updated: Sep 18, 2025
SHA: 894f5e9d

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

t5-small-samsum-finetuned

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: 0.5675

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: 0.0001
train_batch_size: 2
eval_batch_size: 4
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
lr_scheduler_warmup_ratio: 0.06
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6871	1.0	7366	0.5675

Framework versions

Transformers 4.56.1
Pytorch 2.7.1+cu118
Datasets 4.0.0
Tokenizers 0.22.0

Library: transformers
Type: t5
License: apache-2.0
Created: Sep 18, 2025
Updated: Sep 18, 2025