t5-small-for-summarization – AI Model by AbdulrahmanAhmed | AlphaNeural AI

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AbdulrahmanAhmed/
t5-small-for-summarization

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text2text-generation

generated_from_keras_callback

google-t5/t5-small

endpoints_compatible

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AbdulrahmanAhmed/t5-small-for-summarization

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

Train Loss: 2.5686
Validation Loss: 2.3311
Train Rouge1: 0.5638
Train Rouge2: 0.3216
Train Rougel: 0.517
Train Rougelsum: 0.5172
Train Gen Len: 64.0
Epoch: 2

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 Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
3.0079	2.5231	0.5435	0.2961	0.4938	0.4938	64.0	0
2.6807	2.3960	0.5551	0.3119	0.5083	0.5084	64.0	1
2.5686	2.3311	0.5638	0.3216	0.517	0.5172	64.0	2

Framework versions

Transformers 4.44.2
TensorFlow 2.17.0
Tokenizers 0.19.1