distilbert-base-uncased-FT-ner-JNLPBA

Model Card for Model ID

Fine-tuned distilbert model. Trained on train set of JNLPBA 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 JNLPBA 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 -->

learning_rate=5e-5 per_device_train_batch_size=16 per_device_eval_batch_size=16 num_train_epochs=3 weight_decay=0.01

Evaluation

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Testing Data

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Test set of JNLPBA dataset.

Results

Precision: 0.73 Recall: 0.83 Micro-F1: 0.78

Environmental Impact

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• Hardware Type: 1xRTX A4000
• Hours used: 00:19:00