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Ivaylo-Iv/ai_train_poc_food_text_classifier

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

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aitrainpocfoodtext_classifier

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: 0.0019
  • 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: 0.0001
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
0.00051.070.00121.0
0.00042.0140.00131.0
0.00033.0210.00141.0
0.00034.0280.00151.0
0.00025.0350.00161.0
0.00026.0420.00171.0
0.00027.0490.00181.0
0.00028.0560.00181.0
0.00029.0630.00191.0
0.000210.0700.00191.0

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.19.1