metadata
base_model: dmis-lab/biobert-v1.1
tags:
- generated_from_trainer
datasets:
- financial_phrasebank
metrics:
- f1
model-index:
- name: bioBERT-finetuned-financial-phrasebank
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: financial_phrasebank
type: financial_phrasebank
config: sentences_66agree
split: train
args: sentences_66agree
metrics:
- name: F1
type: f1
value: 0.9153044889504942
bioBERT-finetuned-financial-phrasebank
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