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# daedra

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.

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.3.2
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "base_model": "dmis-lab/biobert-base-cased-v1.2", "model-index": [{"name": "daedra", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:dmis-lab/biobert-base-cased-v1.2 doi:10.57967/hf/1757 autotrain_compatible endpoints_compatible region:us