CoolFace
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imwizard/redteaming_model_flanT5_classification_1

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
1likes9downloads
Model Card

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results

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4802

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: 2e-05
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 10

Training results

Training LossEpochStepValidation Loss
No log1.01470.4424
No log2.02940.4278
No log3.04410.4246
0.4934.05880.4282
0.4935.07350.4263
0.4936.08820.4384
0.4177.010290.4556
0.4178.011760.4548
0.4179.013230.4768
0.41710.014700.4802

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1