voiceassistant-intent-distilbert-clinc150

This model is a fine-tuned version of distilbert-base-uncased on clinc_oos dataset. It achieves the following results on the evaluation set:

• Loss: 0.5123
• Accuracy: 0.8818
• F1 Macro: 0.9090

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:

• learning_rate: 3e-05
• train_batch_size: 32
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.13.0+cu126
• Datasets 2.21.0
• Tokenizers 0.19.1