---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-detector-de-stress-detector-de-stress
  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. -->

# roberta-base-bne-detector-de-stress-detector-de-stress

This model is a fine-tuned version of [ValenHumano/roberta-base-bne-detector-de-stress](https://huggingface.co/ValenHumano/roberta-base-bne-detector-de-stress) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4838
- Accuracy: 0.7571

## 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4735        | 1.0   | 169  | 0.3888          | 0.8143   |
| 0.2484        | 2.0   | 338  | 0.4838          | 0.7571   |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3