T5-CNN-Daily-Mail-30000

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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

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.0