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# bhr_descriptions_trained_BiomedBERT

This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1232

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 31   | 2.3015          |
| No log        | 2.0   | 62   | 2.1430          |
| No log        | 3.0   | 93   | 2.0668          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract", "model-index": [{"name": "bhr_descriptions_trained_BiomedBERT", "results": []}]}
transformers tensorboard safetensors bert fill-mask generated_from_trainer base_model:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract license:mit autotrain_compatible endpoints_compatible region:us