update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- mlsum
+metrics:
+- rouge
+model-index:
+- name: mode-bart-deutsch
+  results:
+  - task:
+      name: Summarization
+      type: summarization
+    dataset:
+      name: mlsum de
+      type: mlsum
+      args: de
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 41.698
+---
+
+<!-- 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. -->
+
+# mode-bart-deutsch
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the mlsum de dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2152
+- Rouge1: 41.698
+- Rouge2: 31.3548
+- Rougel: 38.2817
+- Rougelsum: 39.6349
+- Gen Len: 63.1723
+
+## 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: 5e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.16.0.dev0
+- Pytorch 1.10.0+cu111
+- Datasets 1.17.0
+- Tokenizers 0.10.3