Cpod/t5-small-finetuned-cnn_dailymail-3-epochs

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: 1.8014
• Validation Loss: 1.6484
• Train Rouge1: 24.6091
• Train Rouge2: 11.8866
• Train Rougel: 20.3754
• Train Rougelsum: 23.2320
• Train Gen Len: 18.9998
• Epoch: 2

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	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
1.8623	1.6757	24.4518	11.7242	20.1766	23.0440	18.9987	0
1.8212	1.6567	24.5313	11.7909	20.2584	23.1484	18.9992	1
1.8014	1.6484	24.6091	11.8866	20.3754	23.2320	18.9998	2

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.10.1
• Tokenizers 0.13.2