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ontochem_biobert_v2

Token Classification
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bert
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metadata
base_model: dmis-lab/biobert-base-cased-v1.1
tags:
  - generated_from_trainer
model-index:
  - name: ontochem_biobert_v2
    results: []

ontochem_biobert_v2

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

  • Loss: 0.0312

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 6

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 96 0.6038
No log 2.0 192 0.0551
No log 3.0 288 0.0369
No log 4.0 384 0.0338
No log 5.0 480 0.0307
0.2606 6.0 576 0.0312

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2