summarization_fine_tune_bbc_summary – AI Model by aknaraya | AlphaNeural AI

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aknaraya/
summarization_fine_tune_bbc_summary

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text2text-generation

generated_from_keras_callback

google-t5/t5-small

endpoints_compatible

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aknaraya/summarization_fine_tune_bbc_summary

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: 0.5873
Validation Loss: 0.3274
Train Lr: 2e-05
Epoch: 9

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
0.7762	0.4048	2e-05	0
0.7113	0.3899	2e-05	1
0.6596	0.3765	2e-05	2
0.6524	0.3654	2e-05	3
0.6652	0.3553	2e-05	4
0.6315	0.3476	2e-05	5
0.5763	0.3411	2e-05	6
0.5952	0.3358	2e-05	7
0.5940	0.3309	2e-05	8
0.5873	0.3274	2e-05	9

Framework versions

Transformers 4.41.0
TensorFlow 2.15.0
Datasets 2.19.1
Tokenizers 0.19.1