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

# crawler_cat_brick_model

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: 0.9439
- Precision: 0.8768
- Recall: 0.8768
- F1: 0.8768
- Accuracy: 0.8768

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.9828        | 1.0   | 5026  | 1.7270          | 0.7746    | 0.7746 | 0.7746 | 0.7746   |
| 1.2807        | 2.0   | 10052 | 1.3068          | 0.8189    | 0.8189 | 0.8189 | 0.8189   |
| 0.9826        | 3.0   | 15078 | 1.0816          | 0.8535    | 0.8535 | 0.8535 | 0.8535   |
| 0.6745        | 4.0   | 20104 | 0.9756          | 0.8699    | 0.8699 | 0.8699 | 0.8699   |
| 0.5616        | 5.0   | 25130 | 0.9439          | 0.8768    | 0.8768 | 0.8768 | 0.8768   |


### Framework versions

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