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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# biobert-v1.1-ner

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5211
- Precision: 0.0
- Recall: 0.0
- F1: 0.0

## 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: 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|
| 0.575         | 1.0   | 2    | 0.5679          | 0.0       | 0.0    | 0.0 |
| 0.575         | 2.0   | 4    | 0.5512          | 0.0       | 0.0    | 0.0 |
| 0.575         | 3.0   | 6    | 0.5387          | 0.0       | 0.0    | 0.0 |
| 0.575         | 4.0   | 8    | 0.5294          | 0.0       | 0.0    | 0.0 |
| 0.5527        | 5.0   | 10   | 0.5236          | 0.0       | 0.0    | 0.0 |
| 0.5527        | 6.0   | 12   | 0.5211          | 0.0       | 0.0    | 0.0 |


### Framework versions

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