---
language: de
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- elenanereiss/german-ler
metrics:
- precision
- recall
- f1
---

## 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: 1e-05
- train_batch_size: 12
- eval_batch_size: 16
- max seq length: 512
- num_epochs: 3


### Results 

eval_loss = 0.020239440724253654
eval_accuracy_score = 0.9953227664227791
eval_precision = 0.9212203128016991
eval_recall = 0.9458762886597938
eval_f1 = 0.9333855032769246
eval_runtime = 111.4147
eval_samples_per_second = 59.875
eval_steps_per_second = 3.743
epoch = 3.0


test_loss = 0.011871221475303173
test_accuracy_score = 0.9969460436964865
test_precision = 0.9449558173784978
test_recall = 0.9644870349492672
test_f1 = 0.9546215361725869
test_runtime = 111.5143
test_samples_per_second = 59.849
test_steps_per_second = 3.748