--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: jobBERT-de_tc_professions_debates results: [] --- # jobBERT-de_tc_professions_debates This model is a fine-tuned version of [agne/jobBERT-de](https://huggingface.co/agne/jobBERT-de) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0581 - Precision: 0.9648 - Recall: 0.9481 - F1: 0.9564 - Accuracy: 0.9924 ## 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: 5e-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: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | No log | 1.0 | 31 | 0.0394 | 0.9430 | 0.9538 | 0.9484 | 0.9909 | | No log | 2.0 | 62 | 0.0462 | 0.9222 | 0.9577 | 0.9396 | 0.9897 | | No log | 3.0 | 93 | 0.0556 | 0.9556 | 0.9519 | 0.9538 | 0.9919 | | No log | 4.0 | 124 | 0.0604 | 0.9647 | 0.9462 | 0.9553 | 0.9924 | | No log | 5.0 | 155 | 0.0581 | 0.9648 | 0.9481 | 0.9564 | 0.9924 | ### Framework versions - Transformers 4.28.0 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.13.3