---
library_name: transformers
license: mit
base_model: emilyalsentzer/Bio_ClinicalBERT
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

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: 0.1244

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4117        | 1.0   | 120  | 2.2653          |
| 1.3456        | 2.0   | 240  | 1.2659          |
| 0.7226        | 3.0   | 360  | 0.6767          |
| 0.3995        | 4.0   | 480  | 0.3916          |
| 0.2018        | 5.0   | 600  | 0.2460          |
| 0.0991        | 6.0   | 720  | 0.1662          |
| 0.0593        | 7.0   | 840  | 0.1411          |
| 0.0444        | 8.0   | 960  | 0.1292          |
| 0.0366        | 9.0   | 1080 | 0.1269          |
| 0.0389        | 10.0  | 1200 | 0.1244          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1