|
|
---
|
|
|
library_name: transformers
|
|
|
base_model: dmis-lab/biobert-base-cased-v1.2
|
|
|
tags:
|
|
|
- generated_from_trainer
|
|
|
metrics:
|
|
|
- precision
|
|
|
- recall
|
|
|
model-index:
|
|
|
- name: lifechart-biobert-classifier-hptuning
|
|
|
results: []
|
|
|
---
|
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
should probably proofread and complete it, then remove this comment. -->
|
|
|
|
|
|
# lifechart-biobert-classifier-hptuning
|
|
|
|
|
|
This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmis-lab/biobert-base-cased-v1.2) on an unknown dataset.
|
|
|
It achieves the following results on the evaluation set:
|
|
|
- Loss: 1.0893
|
|
|
- Macro F1: 0.7860
|
|
|
- Precision: 0.7904
|
|
|
- Recall: 0.7889
|
|
|
|
|
|
## 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: 2.387945549951255e-05
|
|
|
- train_batch_size: 8
|
|
|
- eval_batch_size: 16
|
|
|
- seed: 42
|
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
|
|
- lr_scheduler_type: linear
|
|
|
- lr_scheduler_warmup_ratio: 0.007988632624643532
|
|
|
- num_epochs: 4
|
|
|
|
|
|
### Training results
|
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Precision | Recall |
|
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|
|
|
|
| 1.5479 | 1.0 | 1641 | 0.8890 | 0.7486 | 0.7291 | 0.7857 |
|
|
|
| 0.6775 | 2.0 | 3282 | 0.9020 | 0.7831 | 0.7881 | 0.7877 |
|
|
|
| 0.4014 | 3.0 | 4923 | 0.9752 | 0.7728 | 0.7684 | 0.7851 |
|
|
|
| 0.2387 | 4.0 | 6564 | 1.0893 | 0.7860 | 0.7904 | 0.7889 |
|
|
|
|
|
|
|
|
|
### Framework versions
|
|
|
|
|
|
- Transformers 4.55.4
|
|
|
- Pytorch 2.8.0+cu128
|
|
|
- Datasets 4.0.0
|
|
|
- Tokenizers 0.21.4
|
|
|
|
