---
datasets:
- squad_v2
model_index:
- name: sapbert-from-pubmedbert-squad2
results:
- task:
name: Question Answering
type: question-answering
dataset:
name: squad_v2
type: squad_v2
args: squad_v2
---
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# sapbert-from-pubmedbert-squad2
This model is a fine-tuned version of [cambridgeltl/SapBERT-from-PubMedBERT-fulltext](https://huggingface.co/cambridgeltl/SapBERT-from-PubMedBERT-fulltext) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2582
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.035 | 1.0 | 8298 | 0.9545 |
| 0.8053 | 2.0 | 16596 | 0.9988 |
| 0.5949 | 3.0 | 24894 | 0.9909 |
| 0.4878 | 4.0 | 33192 | 1.1428 |
| 0.3932 | 5.0 | 41490 | 1.2582 |
### Framework versions
- Transformers 4.7.0
- Pytorch 1.8.0
- Datasets 1.4.1
- Tokenizers 0.10.2