smehta12/initial_t5_small_model-finetuned-webis-tldr-17

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: 3.5103
• Validation Loss: 3.2985
• Train Rouge1: 17.6080
• Train Rouge2: 3.9092
• Train Rougel: 14.0764
• Train Rougelsum: 15.2964
• Train Gen Len: 18.2270
• 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	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
3.5103	3.2985	17.6080	3.9092	14.0764	15.2964	18.2270	0

Framework versions

• Transformers 4.34.1
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.14.1