t5-small-finetuned-samsum

Nour33/t5-small-finetuned-samsum

t5-small-finetuned-samsum is a machine learning model from Nour33. 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.

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: Feb 3, 2023
Updated: Jul 8, 2023
SHA: 4eb587b0

Model card

From the Hugging Face model README

t5-small-finetuned-samsum

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

Train Loss: 1.7087
Validation Loss: 1.6756
Epoch: 7

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 14728, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.1000	1.7915	0
1.9259	1.7424	1
1.8512	1.7167	2
1.8005	1.6925	3
1.7655	1.6840	4
1.7392	1.6799	5
1.7204	1.6757	6
1.7087	1.6756	7

Framework versions

Transformers 4.26.0
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 3, 2023
Updated: Jul 8, 2023