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JoseA1988/learn_hf_food_not_food_text_classifier-distilbert-base-uncased

sourceHugging Faceapache-2.0updated 11d agoView on Hugging Face
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Model Card

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learnhffoodnotfoodtextclassifier-distilbert-base-uncased

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0021
  • —Accuracy: 1.0

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: 5e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —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: 10

Training results

Training LossEpochStepValidation LossAccuracy
0.48761.070.19490.98
0.10772.0140.03101.0
0.02223.0210.01001.0
0.00904.0280.00531.0
0.00535.0350.00351.0
0.00386.0420.00281.0
0.00317.0490.00241.0
0.00288.0560.00221.0
0.00269.0630.00211.0
0.002510.0700.00211.0

Framework versions

  • —Transformers 5.16.1
  • —Pytorch 2.11.0+cu128
  • —Datasets 5.0.1
  • —Tokenizers 0.23.1