---
license: mit
base_model: deepset/gelectra-large-germanquad
tags:
- generated_from_trainer
model-index:
- name: Finetuned_Question_Answering_Model2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Finetuned_Question_Answering_Model2

This model is a fine-tuned version of [deepset/gelectra-large-germanquad](https://huggingface.co/deepset/gelectra-large-germanquad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4686

## 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: 5
- eval_batch_size: 10
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5891        | 1.0   | 16   | 2.3028          |
| 0.5036        | 2.0   | 32   | 2.0374          |
| 0.1452        | 3.0   | 48   | 2.3434          |
| 0.0193        | 4.0   | 64   | 2.5063          |
| 0.2838        | 5.0   | 80   | 2.6404          |
| 0.013         | 6.0   | 96   | 3.3407          |
| 1.3265        | 7.0   | 112  | 3.3117          |
| 0.0045        | 8.0   | 128  | 3.3379          |
| 0.0028        | 9.0   | 144  | 3.4341          |
| 0.0046        | 10.0  | 160  | 3.4686          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1