transformers pytorch bert fill-mask generated_from_trainer base_model:emilyalsentzer/Bio_ClinicalBERT license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: emilyalsentzer/Bio_ClinicalBERT
tags:
- generated_from_trainer
model-index:
- name: Bio_ClinicalBERT-finetuned-imdb
  results: []
---

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# Bio_ClinicalBERT-finetuned-imdb

This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8706

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2229        | 1.0   | 13   | 1.9111          |
| 2.0172        | 2.0   | 26   | 1.9485          |
| 1.9783        | 3.0   | 39   | 1.9386          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
