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

Loss: 0.3305
F1: 0.9153

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	F1
No log	1.0	238	0.3082	0.8843
No log	2.0	476	0.3200	0.9001
0.3619	3.0	714	0.3305	0.9153

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

valenaparicio16/bioBERT-finetuned-financial-phrasebank

bioBERT-finetuned-financial-phrasebank

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

valenaparicio16/
bioBERT-finetuned-financial-phrasebank