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