ted_talks_summarization

NochnoyRitzar/ted_talks_summarization

ted_talks_summarization 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. 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: Nov 26, 2023
Updated: Nov 26, 2023
SHA: 4560141a

Base models

Model card

From the Hugging Face model README

ted_talks_summarization

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

Loss: 3.0524
Rouge1: 0.2688
Rouge2: 0.0754
Rougel: 0.1731
Rougelsum: 0.1733
Gen Len: 128.0

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: 100
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.4159	1.0	249	3.1353	0.2603	0.0652	0.1631	0.1634	128.0
3.2981	2.0	498	3.0669	0.2673	0.0715	0.1696	0.1698	128.0
3.237	3.0	747	3.0524	0.2688	0.0754	0.1731	0.1733	128.0

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 26, 2023
Updated: Nov 26, 2023