t5-basefinetuned-summscreen-modhyperparams-20ep

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mfaraggg/t5-basefinetuned-summscreen-modhyperparams-20ep

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: 2.4734
• Validation Loss: 2.7143
• Train Rouge1: 15.1331
• Train Rouge2: 3.0532
• Train Rougel: 11.6256
• Train Rougelsum: 12.9536
• Train Gen Len: 19.0
• Epoch: 14

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

Framework versions

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