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AV_MAE_2class_complete_lora_DF1M

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1726
  • Accuracy: 0.9642
  • F1: 0.9641

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: 5e-05
  • 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
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 18792
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.1843 1.0 18792 0.1726 0.9642 0.9641

Framework versions

  • PEFT 0.10.0
  • Transformers 4.37.2
  • Pytorch 2.2.1+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.1
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