paraphrase-mpnet-base-v2_mbti_full

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paraphrase-mpnet-base-v2_mbti_full

This model is a fine-tuned version of sentence-transformers/paraphrase-mpnet-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5933
• F1: 0.5931
• Roc Auc: 0.6834

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.39.1
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2