metadata
license: mit
base_model: bert-base-german-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Germeval24StageTask2
results: []
Germeval24StageTask2
This model is a fine-tuned version of bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4272
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 0.8575
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 150 | 0.4852 | 1.0 | 1.0 | 1.0 | 0.8099 |
| No log | 2.0 | 300 | 0.4305 | 1.0 | 1.0 | 1.0 | 0.8499 |
| No log | 3.0 | 450 | 0.4272 | 1.0 | 1.0 | 1.0 | 0.8575 |
| 0.4985 | 4.0 | 600 | 0.4776 | 1.0 | 1.0 | 1.0 | 0.8510 |
| 0.4985 | 5.0 | 750 | 0.5090 | 1.0 | 1.0 | 1.0 | 0.8629 |
| 0.4985 | 6.0 | 900 | 0.5940 | 1.0 | 1.0 | 1.0 | 0.8521 |
| 0.1257 | 7.0 | 1050 | 0.5592 | 1.0 | 1.0 | 1.0 | 0.8618 |
| 0.1257 | 8.0 | 1200 | 0.6132 | 1.0 | 1.0 | 1.0 | 0.8521 |
| 0.1257 | 9.0 | 1350 | 0.6580 | 1.0 | 1.0 | 1.0 | 0.8639 |
| 0.0448 | 10.0 | 1500 | 0.6727 | 1.0 | 1.0 | 1.0 | 0.8629 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1