t5-small-summarization-samsum

NochnoyRitzar/t5-small-summarization-samsum

t5-small-summarization-samsum is a machine learning model from NochnoyRitzar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

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Public

Updated Nov 7, 2023

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2.4 MB

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Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: Nov 7, 2023
Updated: Nov 7, 2023
SHA: 2eac4e11

Base models

Datasets

samsum

Model card

From the Hugging Face model README

t5-small-summarization-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: 1.7907
Rouge1: 0.4318
Rouge2: 0.2005
Rougel: 0.3629
Rougelsum: 0.3629
Gen Len: 16.8971

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: 5e-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
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.1074	0.54	500	1.9230	0.4011	0.182	0.3418	0.3417	15.7439
2.0526	1.09	1000	1.8559	0.4122	0.1841	0.3478	0.348	16.386
2.0075	1.63	1500	1.8193	0.4273	0.1955	0.3552	0.3551	16.8554
1.97	2.17	2000	1.8086	0.4222	0.1922	0.3551	0.3552	16.761
1.931	2.72	2500	1.7907	0.4318	0.2005	0.3629	0.3629	16.8971

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

License: apache-2.0
Created: Nov 7, 2023
Updated: Nov 7, 2023