pytorch bert generated_from_trainer region:us
---
metrics:
- precision
- recall
- f1
tags:
- generated_from_trainer
model-index:
- name: biobert-v1.1-BC2GM-NCBI-BC5CDR-IOBES
  results: []
---

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# biobert-v1.1-BC2GM-NCBI-BC5CDR-IOBES

This model is a fine-tuned version of [sujeongh/biobert-v1.1-BC2GM-NCBI-IOBES](https://huggingface.co/sujeongh/biobert-v1.1-BC2GM-NCBI-IOBES) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3932
- Precision: 0.8824
- Recall: 0.1339
- F1: 0.2326

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 0.4535        | 1.0   | 1    | 0.4246          | 0.0       | 0.0    | 0.0    |
| 0.4535        | 2.0   | 2    | 0.4094          | 0.25      | 0.0045 | 0.0088 |
| 0.4535        | 3.0   | 3    | 0.4015          | 0.6       | 0.0268 | 0.0513 |
| 0.4535        | 4.0   | 4    | 0.3960          | 0.8182    | 0.0804 | 0.1463 |
| 0.4535        | 5.0   | 5    | 0.3932          | 0.8824    | 0.1339 | 0.2326 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3
