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T5-CNN-Daily-Mail – AI Model by tawfikgh | AlphaNeural AI
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tawfikgh
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T5-CNN-Daily-Mail
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transformers
tf
tensorboard
t5
text2text-generation
generated_from_keras_callback
google-t5/t5-small
finetune
apache-2.0
endpoints_compatible
us
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tawfikgh/T5-CNN-Daily-Mail
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: 1.9837
Train Accuracy: 0.4441
Validation Loss: 1.8009
Validation Accuracy: 0.4649
Train Rouge1: 22.7067
Train Rouge2: 9.1444
Train Rougel: 18.3611
Train Rougelsum: 21.1853
Train F1: 0.9184
Train Gen Len: 19.0
Epoch: 0
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
Train Accuracy
Validation Loss
Validation Accuracy
Train Rouge1
Train Rouge2
Train Rougel
Train Rougelsum
Train F1
Train Gen Len
Epoch
1.9837
0.4441
1.8009
0.4649
22.7067
9.1444
18.3611
21.1853
0.9184
19.0
0
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.0
