metadata
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: biobert_v1.1_pubmed-finetuned-squad
results: []
biobert_v1.1_pubmed-finetuned-squad
This model is a fine-tuned version of 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