README.md

metadata

base_model: pucpr/biobertpt-all
tags:
  - generated_from_trainer
datasets:
  - adalbertojunior/substance_quantity
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: test-ner-4
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: adalbertojunior/substance_quantity
          type: adalbertojunior/substance_quantity
        metrics:
          - name: Precision
            type: precision
            value: 1
          - name: Recall
            type: recall
            value: 1
          - name: F1
            type: f1
            value: 1
          - name: Accuracy
            type: accuracy
            value: 1

test-ner-4

This model is a fine-tuned version of pucpr/biobertpt-all on the adalbertojunior/substance_quantity dataset. It achieves the following results on the evaluation set:

• Loss: 0.0001
• Precision: 1.0
• Recall: 1.0
• F1: 1.0
• Accuracy: 1.0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.11.0
• Tokenizers 0.14.1