---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: jobBERT-de_tc_professions_debates
  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. -->

# jobBERT-de_tc_professions_debates

This model is a fine-tuned version of [agne/jobBERT-de](https://huggingface.co/agne/jobBERT-de) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0581
- Precision: 0.9648
- Recall: 0.9481
- F1: 0.9564
- Accuracy: 0.9924

## 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: 5e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 31   | 0.0394          | 0.9430    | 0.9538 | 0.9484 | 0.9909   |
| No log        | 2.0   | 62   | 0.0462          | 0.9222    | 0.9577 | 0.9396 | 0.9897   |
| No log        | 3.0   | 93   | 0.0556          | 0.9556    | 0.9519 | 0.9538 | 0.9919   |
| No log        | 4.0   | 124  | 0.0604          | 0.9647    | 0.9462 | 0.9553 | 0.9924   |
| No log        | 5.0   | 155  | 0.0581          | 0.9648    | 0.9481 | 0.9564 | 0.9924   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.13.3