update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- samsum
+model-index:
+- name: pegasus-samsum
+  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-samsum
+
+This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3582
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6861        | 0.54  | 500  | 1.4850          |
+| 1.4425        | 1.09  | 1000 | 1.4123          |
+| 1.5097        | 1.63  | 1500 | 1.3808          |
+| 1.4757        | 2.17  | 2000 | 1.3634          |
+| 1.4058        | 2.72  | 2500 | 1.3582          |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.13.1
+- Datasets 2.6.1
+- Tokenizers 0.11.0