This model is a fine-tuned version of google-bert/bert-base-german-cased on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 1.3851
eval_model_preparation_time: 0.0039
eval_accuracy: {'accuracy': 0.8091872791519434}
eval_f1score: {'f1': 0.8019023748870079}
eval_runtime: 6.5401
eval_samples_per_second: 43.272
eval_steps_per_second: 5.505
step: 0
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
