update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Facebook_Mit_HPS_5_Epoch
+  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. -->
+
+# Facebook_Mit_HPS_5_Epoch
+
+This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4774
+- Accuracy: 0.9315
+
+## 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: 5.546392051994155e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 5
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 292  | 0.2181          | 0.9264   |
+| 0.2411        | 2.0   | 584  | 0.2571          | 0.9289   |
+| 0.2411        | 3.0   | 876  | 0.5712          | 0.8947   |
+| 0.0558        | 4.0   | 1168 | 0.4675          | 0.9332   |
+| 0.0558        | 5.0   | 1460 | 0.4774          | 0.9315   |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.0+cu111
+- Datasets 1.17.0
+- Tokenizers 0.10.3