mfaraggg/t5-basefinetuned-summscreen-modhyperparams

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 2.9369
• Validation Loss: 2.8029
• Train Rouge1: 15.1361
• Train Rouge2: 3.0992
• Train Rougel: 11.7925
• Train Rougelsum: 13.1963
• Train Gen Len: 18.9908
• 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': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
3.2939	2.9001	14.3953	2.5567	11.0942	12.5452	19.0	0
3.0163	2.8419	14.9975	2.9256	11.5849	12.9266	19.0	1
2.9369	2.8029	15.1361	3.0992	11.7925	13.1963	18.9908	2

Framework versions

• Transformers 4.35.0
• TensorFlow 2.14.0
• Datasets 2.14.6
• Tokenizers 0.14.1