---
license: mit
base_model: dbmdz/bert-base-german-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: class_classificator_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. -->

# class_classificator_results

This model is a fine-tuned version of [dbmdz/bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7191
- Precision: 0.9280
- Recall: 0.9280
- F1: 0.9280
- Accuracy: 0.9280

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.3487        | 1.0   | 2527  | 1.1844          | 0.8355    | 0.8355 | 0.8355 | 0.8355   |
| 0.9081        | 2.0   | 5054  | 0.9115          | 0.8897    | 0.8897 | 0.8897 | 0.8897   |
| 0.6327        | 3.0   | 7581  | 0.7873          | 0.9038    | 0.9038 | 0.9038 | 0.9038   |
| 0.3874        | 4.0   | 10108 | 0.7599          | 0.9196    | 0.9196 | 0.9196 | 0.9196   |
| 0.2643        | 5.0   | 12635 | 0.7191          | 0.9280    | 0.9280 | 0.9280 | 0.9280   |
| 0.2146        | 6.0   | 15162 | 0.7315          | 0.9300    | 0.9300 | 0.9300 | 0.9300   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1