CoolFace
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OpenPipe/sample-lora-pii-redaction

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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models/loras/OpenPipe/ft-development-0b0f52d6-bc53-4443-bbad-4a6103c95501-pii-7b-optimized

This model is a fine-tuned version of OpenPipe/mistral-ft-optimized-1218 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0174

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
  • trainbatchsize: 2
  • evalbatchsize: 2
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 10
  • num_epochs: 2

Training results

Training LossEpochStepValidation Loss
0.420.0210.3989
0.02580.21130.0304
0.0250.43260.0220
0.01460.64390.0204
0.02080.85520.0196
0.01361.07650.0187
0.01481.28780.0181
0.01781.49910.0180
0.02041.71040.0175
0.01281.921170.0174

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6
  • Tokenizers 0.14.1