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youralien/ModernBERT-Reflections-goodareas-classifier

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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ModernBERT-Reflections-goodareas-classifier

This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 5.2884
  • —Accuracy: 0.8704
  • —Precision: 0.3922
  • —Recall: 0.2105
  • —F1: 0.2740

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: 7e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracyPrecisionRecallF1
0.64491.04610.54410.75790.26700.62110.3734
0.51522.09220.49870.76040.29050.73680.4167
0.40853.013830.67480.80930.31740.55790.4046
0.22934.018442.33480.86670.39390.27370.3230
0.02645.023055.28840.87040.39220.21050.2740

Framework versions

  • —Transformers 4.48.0.dev0
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.1.0
  • —Tokenizers 0.21.0