---
tags:
- generated_from_trainer
model-index:
- name: RoBERTa-legal-de-cased_German_legal_SQuAD_17
  results: []
---

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# RoBERTa-legal-de-cased_German_legal_SQuAD_17

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9667

## 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: 160
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 17

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 2    | 6.2537          |
| No log        | 2.0   | 4    | 6.3434          |
| No log        | 3.0   | 6    | 6.2256          |
| No log        | 4.0   | 8    | 6.0253          |
| No log        | 5.0   | 10   | 5.8198          |
| No log        | 6.0   | 12   | 5.5768          |
| No log        | 7.0   | 14   | 5.4665          |
| No log        | 8.0   | 16   | 5.4053          |
| No log        | 9.0   | 18   | 5.3656          |
| No log        | 10.0  | 20   | 5.3181          |
| No log        | 11.0  | 22   | 5.2573          |
| No log        | 12.0  | 24   | 5.1785          |
| No log        | 13.0  | 26   | 5.1147          |
| No log        | 14.0  | 28   | 5.0536          |
| No log        | 15.0  | 30   | 5.0101          |
| No log        | 16.0  | 32   | 4.9799          |
| No log        | 17.0  | 34   | 4.9667          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0