update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: sshleifer/distilbart-cnn-6-6
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: nor-sum
+  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. -->
+
+# nor-sum
+
+This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1812
+- Rouge1: 0.2552
+- Rouge2: 0.0679
+- Rougel: 0.1884
+- Rougelsum: 0.1886
+- Gen Len: 65.3086
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.6231        | 1.0   | 3188  | 2.4652          | 0.2359 | 0.0563 | 0.1732 | 0.1733    | 66.1928 |
+| 2.3062        | 2.0   | 6377  | 2.2798          | 0.2524 | 0.0653 | 0.1864 | 0.1864    | 66.3107 |
+| 2.0817        | 3.0   | 9565  | 2.1973          | 0.2529 | 0.0675 | 0.189  | 0.1893    | 65.077  |
+| 1.9776        | 4.0   | 12752 | 2.1812          | 0.2552 | 0.0679 | 0.1884 | 0.1886    | 65.3086 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.1
+- Tokenizers 0.13.3