pakawadeep/mt5-base-finetuned-ctfl-augmented

• Train Loss: 0.4325
• Validation Loss: 0.7749
• Train Rouge1: 8.6103
• Train Rouge2: 0.7921
• Train Rougel: 8.6987
• Train Rougelsum: 8.6987
• Train Gen Len: 11.8713
• Epoch: 29

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• 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

Framework versions

• Transformers 4.38.2
• TensorFlow 2.15.0
• Datasets 2.18.0
• Tokenizers 0.15.2