CoolFace
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ilaria-oneofftech/ikitracs_mitigation

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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ikitracs_mitigation

This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7245
  • F1-score: 0.2177

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: 9.24e-05
  • trainbatchsize: 3
  • evalbatchsize: 3
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 6
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 300
  • num_epochs: 8

Training results

Training LossEpochStepValidation LossF1-score
1.29831.02071.02390.1101
1.04752.04140.90270.1449
0.90953.06210.82140.1646
0.79964.08280.87720.1629
0.65855.010350.75040.2025
0.54736.012420.83240.2144
0.44237.014490.67990.2176
0.37418.016560.72450.2177

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3