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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: kaelte |
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results: [] |
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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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# kaelte |
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This model is a fine-tuned version of [svalabs/gbert-large-zeroshot-nli](https://huggingface.co/svalabs/gbert-large-zeroshot-nli) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1126 |
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- F1: 0.9887 |
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## Label-Übersetzung |
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- 0 Freie_Kühlung |
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- 1 Kälteanlage_Allgemein |
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- 2 Kältemaschine |
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- 3 Kältespeicher |
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- 4 Rückkühlwerk |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 0.98 | 46 | 0.3264 | 0.9074 | |
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| No log | 1.98 | 92 | 0.1266 | 0.9590 | |
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| No log | 2.98 | 138 | 0.0603 | 0.9887 | |
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| No log | 3.98 | 184 | 0.1000 | 0.9887 | |
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| No log | 4.98 | 230 | 0.1075 | 0.9887 | |
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| No log | 5.98 | 276 | 0.1091 | 0.9887 | |
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| No log | 6.98 | 322 | 0.1109 | 0.9887 | |
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| No log | 7.98 | 368 | 0.1119 | 0.9887 | |
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| No log | 8.98 | 414 | 0.1124 | 0.9887 | |
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| No log | 9.98 | 460 | 0.1126 | 0.9887 | |
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### Framework versions |
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- Transformers 4.22.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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