update model card README.md

README.md

@@ -0,0 +1,75 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- gnad10
+metrics:
+- f1
+model-index:
+- name: my_awesome_model
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: gnad10
+      type: gnad10
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.9001230044993416
+---
+
+<!-- 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. -->
+
+# my_awesome_model
+
+This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the gnad10 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3414
+- F1: 0.9001
+
+## 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: 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.5884        | 1.0   | 578  | 0.3510          | 0.8940 |
+| 0.2389        | 2.0   | 1156 | 0.3414          | 0.9001 |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 2.0.0.dev20230126+cu117
+- Datasets 2.9.0
+- Tokenizers 0.13.2