update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-finetuned-bpmn
+  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. -->
+
+# bert-finetuned-bpmn
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2656
+- Precision: 0.7314
+- Recall: 0.8366
+- F1: 0.7805
+- Accuracy: 0.8939
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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   | 10   | 0.8437          | 0.1899    | 0.3203 | 0.2384 | 0.7005   |
+| No log        | 2.0   | 20   | 0.4967          | 0.5421    | 0.7582 | 0.6322 | 0.8417   |
+| No log        | 3.0   | 30   | 0.3403          | 0.6719    | 0.8431 | 0.7478 | 0.8867   |
+| No log        | 4.0   | 40   | 0.2821          | 0.6923    | 0.8235 | 0.7522 | 0.8903   |
+| No log        | 5.0   | 50   | 0.2656          | 0.7314    | 0.8366 | 0.7805 | 0.8939   |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.7.1
+- Tokenizers 0.13.2