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kbulutozler/distilbert-base-uncased-FT-ner-BC2GM

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Fine-tuned distilbert model. Trained on train set of BC2GM dataset taken from BLURB.

Model Details

Model Sources [optional]

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  • —Repository: https://github.com/kbulutozler/medical-llm-benchmark

Training Details

Training Data

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Train set of BC2GM dataset.

Training Procedure

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Classical fine-tuning.

Training Hyperparameters
  • —Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

learningrate=5e-5 perdevicetrainbatchsize=16 perdeviceevalbatchsize=16 numtrainepochs=3 weightdecay=0.01

Evaluation

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Testing Data

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Test set of BC2GM dataset.

Results

Precision: 0.76 Recall: 0.79 Micro-F1: 0.77

Environmental Impact

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  • —Hardware Type: 1xRTX A4000
  • —Hours used: 00:10:00