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asn1814/openbookqa_bert-base-uncased_fact_retrieval

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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openbookqabert-base-uncasedfact_retrieval

This model is a fine-tuned version of asn1814/openbookqa_bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.9008
  • —Accuracy: 0.57

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
0.21231.01551.78250.554
0.0962.03102.12960.57
0.05163.04652.44700.566
0.02064.06202.75270.56
0.01355.07752.90080.57

Framework versions

  • —Transformers 4.38.1
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2