---
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: biobert_v1.1_pubmed-finetuned-squad
  results: []
---

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# biobert_v1.1_pubmed-finetuned-squad

This model is a fine-tuned version of [monologg/biobert_v1.1_pubmed](https://huggingface.co/monologg/biobert_v1.1_pubmed) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9448

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0213        | 1.0   | 8255 | 0.9448          |
| 0.9487        | 2.0   | 8255 | 0.9625          |

### Framework versions

- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3