metadata

base_model: dmis-lab/biobert-base-cased-v1.1
tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: biobert-base-cased-v1.1-finetuned-squad
    results: []

biobert-base-cased-v1.1-finetuned-squad

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.1 on the squad_v2 dataset. It achieves the following results on the evaluation set:

Loss: 1.0533

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.0543	1.0	8309	1.0156
0.7837	2.0	16618	0.9430
0.5895	3.0	24927	1.0533

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3