bert-finetuned-joint_intent_slots_ubb_endava

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BeardedJohn/bert-finetuned-joint_intent_slots_ubb_endava

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

• Train Loss: 5.1282
• Train Output 1 Loss: 0.2030
• Train Output 2 Loss: 4.9252
• Train Output 1 Accuracy: 0.9719
• Train Output 2 Accuracy: 0.6116
• Validation Loss: 4.7179
• Validation Output 1 Loss: 0.0092
• Validation Output 2 Loss: 4.7087
• Validation Output 1 Accuracy: 0.9978
• Validation Output 2 Accuracy: 0.9997
• 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': 'Adam', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Framework versions

• Transformers 4.25.1
• TensorFlow 2.9.2
• Tokenizers 0.13.2