metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - source_data_nlp
metrics:
  - precision
  - recall
  - f1
model-index:
  - name: sd-smallmol-roles-v2
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: source_data_nlp
          type: source_data_nlp
          args: SMALL_MOL_ROLES
        metrics:
          - name: Precision
            type: precision
            value: 0.9628394473558838
          - name: Recall
            type: recall
            value: 0.9716346153846154
          - name: F1
            type: f1
            value: 0.9672170375687963

sd-smallmol-roles-v2

This model is a fine-tuned version of michiyasunaga/BioLinkBERT-large on the source_data_nlp dataset. It achieves the following results on the evaluation set:

Loss: 0.0015
Accuracy Score: 0.9995
Precision: 0.9628
Recall: 0.9716
F1: 0.9672

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
train_batch_size: 32
eval_batch_size: 256
seed: 42
optimizer: Adafactor
lr_scheduler_type: linear
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Score	Precision	Recall	F1
0.0013	1.0	1569	0.0015	0.9995	0.9628	0.9716	0.9672

Framework versions

Transformers 4.20.0
Pytorch 1.11.0a0+bfe5ad2
Datasets 1.17.0
Tokenizers 0.12.1