update model card README.md

README.md

@@ -0,0 +1,63 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: distilbart-cnn-12-6-finetuned-1.1.0
+  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. -->
+
+# distilbart-cnn-12-6-finetuned-1.1.0
+
+This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0274
+- Rouge1: 84.662
+- Rouge2: 83.5616
+- Rougel: 84.4282
+- Rougelsum: 84.4667
+
+## 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: 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 0.0911        | 1.0   | 97   | 0.0286          | 85.8678 | 84.7683 | 85.7147 | 85.6949   |
+| 0.0442        | 2.0   | 194  | 0.0274          | 84.662  | 83.5616 | 84.4282 | 84.4667   |
+
+
+### Framework versions
+
+- Transformers 4.22.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.2
+- Tokenizers 0.12.1