Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- distilbart
+- summarization
+model-index:
+- name: MLQ-distilbart-bbc
+  results:
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: bbc
+      type: bbc
+      config: default
+      split: test
+    metrics:
+    - name: ROUGE-2
+      type: rouge
+      value: 61.43
+      verified: false
+      
+---
+<!-- 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. -->
+
+# MLQ-distilbart-bbc
+
+This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the BBC News Summary dataset (https://www.kaggle.com/pariza/bbc-news-summary).
+
+The model has been generated as part of the in-lab practice of **Deep NLP course** currently held at Politecnico di Torino.
+
+Training parameters:
+- `num_train_epochs=2`
+- `fp16=True`
+- `per_device_train_batch_size=1`
+- `warmup_steps=10`
+- `weight_decay=0.01`
+- `max_seq_length=100`