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chriskim2273/IOTNation_Classification_Model_0.7_5K_AND_ORIGINAL_DATASET_ROBERTA

sourceHugging Facecc-by-4.0updated 3y agoView on Hugging Face
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Model Card

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IOTNationClassificationModel0.75KANDORIGINALDATASETROBERTA

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0365
  • —Accuracy: 0.9927

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: 3e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3