| --- |
| license: mit |
| base_model: MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33 |
| tags: |
| - generated_from_trainer |
| pipeline_tag: zero-shot-classification |
| widget: |
| - text: >- |
| Die Gemeinde Saint-Martin-de-l’Arçon liegt in den Monts de l’Espinouse im |
| Regionalen Naturpark Haut-Languedoc, etwa 31 Kilometer nordnordwestlich von |
| Béziers an der Mündung des Flusses Jaur in den Orb, der die Gemeinde im |
| Süden begrenzt. |
| candidate_labels: in Frankreich, in Deutschland, Dorf, Kleinstadt, Stadt, Großstadt |
| multi_class: true |
| metrics: |
| - accuracy |
| model-index: |
| - name: zeroshot-classification-test4 |
| results: [] |
| language: |
| - de |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # zeroshot-classification-de |
|
|
| This model is a fine-tuned version of [MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33](https://huggingface.co/MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33) on the michaelp11/wiki-tags dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4552 |
| - F1 Micro: 0.859 |
| - Accuracy: 0.859 |
| - Precision Micro: 0.859 |
| - Recall Micro: 0.859 |
|
|
| ## Intended uses & limitations |
|
|
| Zeroshot classification for german language - yay. |
|
|
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.06 |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Micro | Accuracy Balanced | Accuracy | Precision Macro | Recall Macro | Precision Micro | Recall Micro | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:| |
| | No log | 1.0 | 313 | 0.3407 | 0.8507 | 0.851 | 0.8509 | 0.851 | 0.8534 | 0.8509 | 0.851 | 0.851 | |
| | 0.373 | 2.0 | 626 | 0.3830 | 0.8600 | 0.86 | 0.8600 | 0.86 | 0.86 | 0.8600 | 0.86 | 0.86 | |
| | 0.373 | 3.0 | 939 | 0.4552 | 0.8589 | 0.859 | 0.8590 | 0.859 | 0.8596 | 0.8590 | 0.859 | 0.859 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.2 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
