---
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: 1.0
    - name: Recall
      type: recall
      value: 1.0
    - name: F1
      type: f1
      value: 1.0
    - name: Accuracy
      type: accuracy
      value: 1.0
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# test-ner-4

This model is a fine-tuned version of [pucpr/biobertpt-all](https://huggingface.co./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