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metadata
base_model: dmis-lab/biobert-base-cased-v1.1
tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: biobert-base-cased-v1.1-finetuned-squad
    results: []

biobert-base-cased-v1.1-finetuned-squad

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.1 on the squad_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0533

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.0543 1.0 8309 1.0156
0.7837 2.0 16618 0.9430
0.5895 3.0 24927 1.0533

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3