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tcapelle/bias-scorer-smollm2-135m

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

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bias-scorer-smollm2-135m

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4030
  • —F1: 0.8236
  • —Accuracy: 0.8297
  • —Precision: 0.8205
  • —Recall: 0.8297

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossF1AccuracyPrecisionRecall
No log000.61160.75040.73130.79270.7313
0.42660.5044100000.40320.82350.82970.82040.8297
0.37631.0088200000.40300.82360.82970.82050.8297
0.39561.5132300000.40300.82360.82970.82050.8297

Framework versions

  • —Transformers 4.46.3
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.1.0
  • —Tokenizers 0.20.3