metadata

license: apache-2.0
base_model: tawfikgh/T5-CNN-Daily-Mail
tags:
  - generated_from_keras_callback
model-index:
  - name: tawfikgh/T5-CNN-Daily-Mail-30000
    results: []

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