metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-german-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: trainer_output
results: []
trainer_output
This model is a fine-tuned version of distilbert/distilbert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3713
- Accuracy: 0.8983
- F1: 0.8950
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7353 | 0.9881 | 750 | 0.4152 | 0.8782 | 0.8693 |
| 0.3605 | 1.9763 | 1500 | 0.3601 | 0.8978 | 0.8947 |
| 0.2648 | 2.9644 | 2250 | 0.3713 | 0.8983 | 0.8950 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1