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rorschach-40/home-batch_7_2000_-text-classification

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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home-batch72000_-text-classification

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5590
  • Precision: 0.8036
  • Recall: 1.0
  • F1: 0.8911

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: 0.0003
  • trainbatchsize: 10
  • evalbatchsize: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 2

Training results

Training LossEpochStepValidation LossPrecisionRecallF1
No log1.0260.50760.73330.97780.8381
No log2.0520.55900.80361.00.8911

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2