update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: pegasus_cnn_news_article_title_12000_with_3_epochs
+  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. -->
+
+# pegasus_cnn_news_article_title_12000_with_3_epochs
+
+This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1645
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2874        | 0.65  | 500  | 0.2258          |
+| 0.2286        | 1.31  | 1000 | 0.1843          |
+| 0.211         | 1.96  | 1500 | 0.1699          |
+| 0.18          | 2.61  | 2000 | 0.1645          |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1