---
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_BioNLP13CG_NER
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BlueBERT_BioNLP13CG_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: 0.2929
- Precision: 0.9311
- Recall: 0.9373
- F1: 0.9342
- Accuracy: 0.9309

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 0.99  | 95   | 0.4398          | 0.8891    | 0.8989 | 0.8940 | 0.8876   |
| No log        | 2.0   | 191  | 0.3148          | 0.9259    | 0.9325 | 0.9292 | 0.9252   |
| No log        | 2.98  | 285  | 0.2929          | 0.9311    | 0.9373 | 0.9342 | 0.9309   |


### Framework versions

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