---
license: mit
tags:
- generated_from_trainer
model-index:
- name: LF6_Serice_Classifier
  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. -->

Model created to classify usser intents for LF6 project.

# LF6_Serice_Classifier

This model is a fine-tuned version of [dbmdz/bert-base-german-cased](https://huggingface.co/dbmdz/bert-base-german-cased) on an synthetic dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0457

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2098        | 1.0   | 600  | 0.0646          |
| 0.0501        | 2.0   | 1200 | 0.0522          |
| 0.037         | 3.0   | 1800 | 0.0457          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1
- Tokenizers 0.13.3