---
library_name: transformers
license: apache-2.0
base_model: Dr-BERT/DrBERT-7GB
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: DrBERT-7GB-finetuned-loinc
  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. -->

# DrBERT-7GB-finetuned-loinc

This model is a fine-tuned version of [Dr-BERT/DrBERT-7GB](https://huggingface.co/Dr-BERT/DrBERT-7GB) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6762
- Accuracy: 0.8519
- F1: 0.8516

## 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: 5e-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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 1268 | 0.6636          | 0.8410   | 0.8379 |
| No log        | 2.0   | 2536 | 0.6715          | 0.8401   | 0.8414 |
| No log        | 3.0   | 3804 | 0.6953          | 0.8538   | 0.8490 |
| No log        | 4.0   | 5072 | 0.6719          | 0.8522   | 0.8524 |
| No log        | 5.0   | 6340 | 0.6762          | 0.8519   | 0.8516 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.3.1+cxx11.abi
- Datasets 3.0.1
- Tokenizers 0.20.0