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---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-german-cased-finetuned-emotion
  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. -->

# bert-base-german-cased-finetuned-emotion

This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2345
- Accuracy: 0.6937
- F1: 0.6929

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.9412        | 1.0   | 140  | 1.4481          | 0.5402   | 0.5229 |
| 1.1779        | 2.0   | 280  | 1.1625          | 0.6375   | 0.6350 |
| 0.7914        | 3.0   | 420  | 1.0541          | 0.6732   | 0.6700 |
| 0.5264        | 4.0   | 560  | 1.0504          | 0.6821   | 0.6803 |
| 0.344         | 5.0   | 700  | 1.0638          | 0.6884   | 0.6853 |
| 0.2187        | 6.0   | 840  | 1.1309          | 0.6964   | 0.6945 |
| 0.1387        | 7.0   | 980  | 1.1504          | 0.7009   | 0.6986 |
| 0.0988        | 8.0   | 1120 | 1.2012          | 0.6964   | 0.6944 |
| 0.0705        | 9.0   | 1260 | 1.2153          | 0.7009   | 0.7003 |
| 0.0571        | 10.0  | 1400 | 1.2345          | 0.6937   | 0.6929 |


### Framework versions

- Transformers 4.19.0
- Pytorch 1.11.0+cu113
- Datasets 1.16.1
- Tokenizers 0.12.1
