---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: biobert-v1.1-BC2GM-IOBES
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# biobert-v1.1-BC2GM-IOBES

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2095
- Precision: 0.4505
- Recall: 0.4762
- F1: 0.4630

## 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: 16
- eval_batch_size: 16
- seed: 42
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 0.1812        | 1.0   | 2    | 0.2149          | 0.4706    | 0.4571 | 0.4638 |
| 0.1812        | 2.0   | 4    | 0.2109          | 0.4519    | 0.4476 | 0.4498 |
| 0.1812        | 3.0   | 6    | 0.2095          | 0.4505    | 0.4762 | 0.4630 |


### Framework versions

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