Fine_Tune_T5_Model_News_Summarization

Pragathi0111/Fine_Tune_T5_Model_News_Summarization

Fine_Tune_T5_Model_News_Summarization is a machine learning model from Pragathi0111. 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: Dec 10, 2023
Updated: Dec 14, 2023
SHA: aed53373

Base models

Model card

From the Hugging Face model README

Pragathi0111/Fine_Tune_T5_Model_News_Summarization

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: 2.3417
Validation Loss: 2.4556
Train Lr: 2e-05
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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Lr	Epoch
2.4420	2.5966	2e-05	0
2.4388	2.5729	2e-05	1
2.2632	2.5500	2e-05	2
2.4379	2.5284	2e-05	3
2.5256	2.5081	2e-05	4
2.3115	2.4890	2e-05	5
2.1365	2.4718	2e-05	6
2.3417	2.4556	2e-05	7

Framework versions

Transformers 4.35.2
TensorFlow 2.14.0
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: t5
License: apache-2.0
Created: Dec 10, 2023
Updated: Dec 14, 2023