update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased-finetuned-tagesschau-subcategories
+  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-uncased-finetuned-tagesschau-subcategories
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7723
+- Accuracy: 0.7267
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.4   | 30   | 1.3433          | 0.5667   |
+| No log        | 0.8   | 60   | 1.0861          | 0.6933   |
+| No log        | 1.2   | 90   | 0.9395          | 0.7067   |
+| No log        | 1.6   | 120  | 0.8647          | 0.68     |
+| No log        | 2.0   | 150  | 0.8018          | 0.72     |
+| No log        | 2.4   | 180  | 0.7723          | 0.7267   |
+| No log        | 2.8   | 210  | 0.7616          | 0.72     |
+| No log        | 3.2   | 240  | 0.7348          | 0.7067   |
+| No log        | 3.6   | 270  | 0.7747          | 0.72     |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2