tawfikgh/t5-small-finetuned-xsum-150000

This model is a fine-tuned version of tawfikgh/t5-small-finetuned-xsum on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 2.6654
• Train Accuracy: 0.3307
• Validation Loss: 2.4052
• Validation Accuracy: 0.3549
• Train Rouge1: 29.4337
• Train Rouge2: 8.4567
• Train Rougel: 23.2104
• Train Rougelsum: 23.2060
• Train Gen Len: 18.8260
• 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 Gen Len	Epoch
2.6654	0.3307	2.4052	0.3549	29.4337	8.4567	23.2104	23.2060	18.8260	0

Framework versions

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