---
license: mit
base_model: dbmdz/bert-base-german-uncased
tags:
- generated_from_trainer
model-index:
- name: LernnaviBERT
  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. -->

# LernnaviBERT

This model is a fine-tuned version of [dbmdz/bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0060

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0385        | 1.0   | 2405 | 0.0137          |
| 0.0142        | 2.0   | 4810 | 0.0084          |
| 0.0096        | 3.0   | 7215 | 0.0072          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.2.0
- Datasets 2.2.1
- Tokenizers 0.15.1