Update README.md

README.md

@@ -1,64 +1,64 @@
----
-license: apache-2.0
-base_model: distilbert-base-german-cased
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-- f1
-model-index:
-- name: distilbert-base-german-cased
-  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. -->
-
-# distilbert-base-german-cased
-
-This model is a fine-tuned version of [distilbert-base-german-cased](https://huggingface.co/distilbert-base-german-cased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4297
-- Accuracy: 0.8842
-- F1: 0.8843
-
-## 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: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6037        | 1.0   | 1156 | 0.4114          | 0.8765   | 0.8765 |
-| 0.4754        | 2.0   | 2312 | 0.4201          | 0.8784   | 0.8790 |
-| 0.4359        | 3.0   | 3468 | 0.4297          | 0.8842   | 0.8843 |
-
-
-### Framework versions
-
-- Transformers 4.40.2
-- Pytorch 2.3.1
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+---
+license: apache-2.0
+base_model: finetuned-distilbert-base-german-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert-base-german-cased
+  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. -->
+
+# distilbert-base-german-cased
+
+This model is a fine-tuned version of [distilbert-base-german-cased](https://huggingface.co/distilbert-base-german-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4297
+- Accuracy: 0.8842
+- F1: 0.8843
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.6037        | 1.0   | 1156 | 0.4114          | 0.8765   | 0.8765 |
+| 0.4754        | 2.0   | 2312 | 0.4201          | 0.8784   | 0.8790 |
+| 0.4359        | 3.0   | 3468 | 0.4297          | 0.8842   | 0.8843 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.1
+- Datasets 2.19.1
+- Tokenizers 0.19.1