---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Facebook_Mit_HPS_5_Epoch
  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. -->

# Facebook_Mit_HPS_5_Epoch

This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4774
- Accuracy: 0.9315

## 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: 5.546392051994155e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 5
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 292  | 0.2181          | 0.9264   |
| 0.2411        | 2.0   | 584  | 0.2571          | 0.9289   |
| 0.2411        | 3.0   | 876  | 0.5712          | 0.8947   |
| 0.0558        | 4.0   | 1168 | 0.4675          | 0.9332   |
| 0.0558        | 5.0   | 1460 | 0.4774          | 0.9315   |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
