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T5-CNN-Daily-Mail-30000 – AI Model by tawfikgh | AlphaNeural AI
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tawfikgh
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T5-CNN-Daily-Mail-30000
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transformers
tf
tensorboard
t5
text2text-generation
generated_from_keras_callback
tawfikgh/T5-CNN-Daily-Mail
finetune
apache-2.0
endpoints_compatible
us
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tawfikgh/T5-CNN-Daily-Mail-30000
This model is a fine-tuned version of
tawfikgh/T5-CNN-Daily-Mail
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.9838
Train Accuracy: 0.4388
Validation Loss: 1.7669
Validation Accuracy: 0.4634
Train Rouge1: 23.0643
Train Rouge2: 9.2989
Train Rougel: 18.6586
Train Rougelsum: 21.4398
Train F1: 0.9629
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': 5e-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
1.9838
0.4388
1.7669
0.4634
23.0643
9.2989
18.6586
21.4398
0.9629
19.0
0
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.0
