--- language: - de tags: - text-classification - german-news-classification datasets: - gnad10 metrics: - accuracy - precision - recall - f1 model-index: - name: Mathking/bert-base-german-cased-gnad10 results: - task: type: text-classification name: Text Classification dataset: name: gnad10 type: gnad10 config: default split: train metrics: - type: accuracy value: 0.9557598702001082 name: Accuracy verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTkxNjAwNTYzYjRjZmQ0M2UxMWQzYzk0YWFjZjRmYzcwNGEyYmRiNDIwNTlmNDNhYjAzNzBmNzU5MTg3MTM1ZSIsInZlcnNpb24iOjF9.1KfABx9YVvR2QiSXwtCBV8ijYGqwiQD3N3i7c1KV2Ke9tQvWA4_HnN7wvCKokESR-zEwIHWfALSveWIgoiSNBg - type: f1 value: 0.9550736462647613 name: F1 Macro verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDNkYjU0NzAxNjBlOGQ1MWU2OGE5NWFkOGFlNTYwZGFkNTRiMDcwNDRlYmNiMTUxMzViM2Q4MmUyMjU2ZTQwYyIsInZlcnNpb24iOjF9.E9ysIc4ZYrpOpQTJsmLRN1q8Pg-5pWLlvs8WbTeJy2JYNmpBNblaGyeiHckZ8g8gD3Rqv7W9inpivmHRcI4-BQ - type: f1 value: 0.9557598702001082 name: F1 Micro verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWMxNmVjMjYyNTAxYmYwN2YxNjAzOWQ2MDY3OGRhYzE4NWYwYTUyNjRhNmU2M2Y3MzFiYzI2ZTk4YWQ3NGNkNSIsInZlcnNpb24iOjF9.csdfLvORGZJY11TbWzylKfhz53BAncrjNgCDIGtWzK1AtJutkJj-SQo8rEd9o3Z5BKlH3Ta28O3Y7wKoc4PuDQ - type: f1 value: 0.9556789875763837 name: F1 Weighted verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2I1ZmNjMzViMDY1YWMyNzRkNDY0OTY1YTFkZWViN2JiMDlkMjJjNTZmZDFjZDIxZjA0YzI1NThiODUwMDlhZiIsInZlcnNpb24iOjF9.83yH-SfIAeB9Y3XNPcnn8N3g9puooZRgcBfNMeAKNqNM93U1qEE6JjFvhZBO_UU05cgfqnPp7Pt6h-JQcmdwBA - type: precision value: 0.953834169384936 name: Precision Macro verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjQ4YjA2MTZlMmYxMTA4ZTM5MDU1NjI3ZWE4YTBiZDBhMDUwN2FiODZkNjM5OWNiNGU2NjU5ZDE0OTUyODZmNyIsInZlcnNpb24iOjF9.sWcghxM9DeaaldnXR5sLz8KUHVhdjJ8GY_c4f-kZ0-0BDzf4CYURUVziWnlrRTjlUH-hVyfdKd1ufHvLotRgCg - type: precision value: 0.9557598702001082 name: Precision Micro verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWIzZmNlZTcxNzhhMzZhNWQ1ZWI4YzZjMDYyOTMwY2Q5N2EwMzFhMzE4OTFkZjg1NTIyYjVkMGNjZDYwZmQ2YSIsInZlcnNpb24iOjF9.rQ7ZIKeP25hLfHaYdPqX-VZCHoL-YohqGV9NZ-TAIHvNQbj0lPpX_nS89cJ1C0tSoHCeP14lIOWNncRJzQOOCA - type: precision value: 0.9558822798145145 name: Precision Weighted verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDQzOTMxMGQ4YTI5MDUzNjdhNzdjY2QzNGVlNzUyODE4ZTI1MTY4NTkxZDVhMTBjZjhhMjlmNzRiNjEyOTk3NiIsInZlcnNpb24iOjF9.DWBZXL1mP7oNYQJKCORItDvkZm-l7TcIETNjdeVyS0BnxoEbqEE22OOJwnGLAk-wHtfx7jEKAA7ijQ1qF7cfAg - type: recall value: 0.956651983810566 name: Recall Macro verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTFhYTUyZWQ0N2VhOWQxMjY0MGM1ZjExOGE4NDQ5ODMzMmQ5YThkZTYzZjg0YmUwMDhlZDllMDk3MzY2ZWUzZSIsInZlcnNpb24iOjF9.H7UhmKtJ_5FZOQmZP-wPTrHHde-XxtMAj3kluHz6-8P1KOwJkxk24Lu7vTwHf3564XtnJC8eW2C5uyWDTpcgBg - type: recall value: 0.9557598702001082 name: Recall Micro verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGY1MWZkOWYzNjg1NGU5YmFmODY2MDNjYWQ3OTUwNTgzMWRlZGUwNzU5NDY2NzFjZTMxOTBiMWVhZWIyNDYzMCIsInZlcnNpb24iOjF9.oKQ0zRYEs-sloah-BJvBKX5SFqWt8UX-0jCi3ldaLwNVJjM-rcdvsERyoYQ-QTLPKsZp4nko3-ic-BDCwGp9Bw - type: recall value: 0.9557598702001082 name: Recall Weighted verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDlhMmIwOTBkOTIzOTlkZjNiMzlkMmE5NzQ3MzY5NTUxODQyMzY1OTJjNWY4NjI0N2NjYmY5NjkwZjU0MTA1YyIsInZlcnNpb24iOjF9.4FExU6skNNcvIrToS3MR04Q7ho7_PITTqPk8WMdOggaVvnwj8ujxcXyJMSRioQ1ttVlpg_oGismsSD9zttYkBg - type: loss value: 0.17337004840373993 name: loss verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzVmMmQ5OGE0OTU3MTg0NDg4YzhlODU1NWUyODM0NzFjODM3MTY5MWI2OTAyMzU5OTQ2YTljZTJkN2JkYTcyNSIsInZlcnNpb24iOjF9.jeYTrX35vtswkWi8ROqynY_W4rHfxonic74PviTNAKJzTF7tUCI2a9IBavXvSQhMfGv0NEkZzX8N8o4hQTvWDw --- # German BERT for News Classification This a bert-base-german-cased model finetuned for text classification on german news articles ## Training data Used the training set from the 10KGNAD dataset (gnad10 on HuggingFace Datasets).