update model card README.md

README.md

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+---
+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: []
+---
+
+<!-- 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. -->
+
+# 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