---
license: mit
tags:
- generated_from_trainer
datasets:
- gnad10
metrics:
- f1
model-index:
- name: my_awesome_model
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: gnad10
      type: gnad10
      config: default
      split: test
      args: default
    metrics:
    - name: F1
      type: f1
      value: 0.9001230044993416
---

<!-- 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. -->

# my_awesome_model

This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the gnad10 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3414
- F1: 0.9001

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5884        | 1.0   | 578  | 0.3510          | 0.8940 |
| 0.2389        | 2.0   | 1156 | 0.3414          | 0.9001 |


### Framework versions

- Transformers 4.26.0
- Pytorch 2.0.0.dev20230126+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2