metadata
license: apache-2.0
base_model: distilbert-base-german-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-german-cased
results: []
distilbert-base-german-cased
This model is a fine-tuned version of distilbert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4297
- Accuracy: 0.8842
- F1: 0.8843
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
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6037 | 1.0 | 1156 | 0.4114 | 0.8765 | 0.8765 |
| 0.4754 | 2.0 | 2312 | 0.4201 | 0.8784 | 0.8790 |
| 0.4359 | 3.0 | 3468 | 0.4297 | 0.8842 | 0.8843 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1
- Datasets 2.19.1
- Tokenizers 0.19.1