bert-wellness-classifier_teacher

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bert-wellness-classifier_teacher

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

• Loss: 0.7694
• Accuracy: 0.688
• Auc: 0.9
• Precision Class 0: 0.862
• Precision Class 1: 0.739
• Precision Class 2: 0.613
• Precision Class 3: 0.538
• Recall Class 0: 0.781
• Recall Class 1: 0.81
• Recall Class 2: 0.704
• Recall Class 3: 0.483

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0+cpu
• Datasets 3.0.1
• Tokenizers 0.20.0