yuashi/voiceassistant-intent-bert-lora

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voiceassistant-intent-bert-lora

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

• —Loss: 0.4182
• —Accuracy: 0.9081
• —F1 Macro: 0.9130

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: 0.0003
• —trainbatchsize: 32
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.44.2
• —Pytorch 2.13.0+cu126
• —Datasets 2.21.0
• —Tokenizers 0.19.1