t5-small-finetuned-samsum

vasumathin298/t5-small-finetuned-samsum

t5-small-finetuned-samsum is a machine learning model from vasumathin298. 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: Oct 16, 2024
Updated: Oct 21, 2024
SHA: 134666fc

Base models

Datasets

samsum

Model card

From the Hugging Face model README

t5-small-finetuned-samsum

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

Loss: 1.8225
Rouge1: 38.0664
Rouge2: 16.3092
Rougel: 31.9662
Rougelsum: 35.0264
Gen Len: 14.4976

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.0656	0.9992	920	1.8225	38.0664	16.3092	31.9662	35.0264	14.4976

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 16, 2024
Updated: Oct 21, 2024