---
license: cc0-1.0
base_model: bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BlueBERT_JNLPBA_NER
  results: []
---

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

This model is a fine-tuned version of [bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12](https://huggingface.co/bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1586
- Precision: 0.8051
- Recall: 0.8205
- F1: 0.8128
- Accuracy: 0.9473

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.3151        | 1.0   | 582  | 0.1675          | 0.7937    | 0.7926 | 0.7932 | 0.9439   |
| 0.1639        | 2.0   | 1164 | 0.1618          | 0.8068    | 0.8053 | 0.8061 | 0.9470   |
| 0.143         | 3.0   | 1746 | 0.1586          | 0.8051    | 0.8205 | 0.8128 | 0.9473   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0