CoolFace
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SurajSphinx/shipping_qa_model_29_04_24

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

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shippingqamodel2904_24

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: 4.9818

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
No log1.0285.6661
No log2.0565.3693
No log3.0845.2166
No log4.01125.1823
No log5.01405.1586
No log6.01685.1086
No log7.01965.0692
No log8.02245.0256
No log9.02524.9902
No log10.02804.9818

Framework versions

  • —Transformers 4.41.0.dev0
  • —Pytorch 2.2.2+cu118
  • —Datasets 2.18.0
  • —Tokenizers 0.19.1