update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- scitldr
+model-index:
+- name: distilbart-cnn-12-6-finetuned-scitldr
+  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-scitldr
+
+This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the scitldr dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 3.7113
+- eval_rouge1: 31.4431
+- eval_rouge2: 13.1766
+- eval_rougeL: 24.2038
+- eval_rougeLsum: 26.3167
+- eval_runtime: 151.7265
+- eval_samples_per_second: 4.08
+- eval_steps_per_second: 0.514
+- epoch: 4.0
+- step: 996
+
+## 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: 5.6e-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: 8
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.6.1
+- Tokenizers 0.13.1