TestZee/t5-base-finetuned-question-generation-data-t5-base

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: 4.0855
• Validation Loss: 4.4354
• Train Rouge1: 27.4892
• Train Rouge2: 8.6370
• Train Rougel: 24.3146
• Train Rougelsum: 24.3146
• 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': 1e-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
4.0855	4.4354	27.4892	8.6370	24.3146	24.3146	19.0	0

Framework versions

• Transformers 4.26.1
• TensorFlow 2.9.2
• Datasets 2.9.0
• Tokenizers 0.13.2