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t5-small-finetuned-samsum – AI Model by Nour33 | AlphaNeural AI
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Nour33
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t5-small-finetuned-samsum
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transformers
pytorch
tf
t5
text2text-generation
generated_from_keras_callback
apache-2.0
text-generation-inference
endpoints_compatible
us
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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
