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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: pegasus-xsum_summarization
+  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-xsum_summarization
+
+This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9498
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.4508        | 1.0   | 50   | 2.5701          |
+| 2.655         | 2.0   | 100  | 2.2977          |
+| 2.3635        | 3.0   | 150  | 2.1554          |
+| 2.0941        | 4.0   | 200  | 2.0545          |
+| 2.0085        | 5.0   | 250  | 2.0147          |
+| 1.8447        | 6.0   | 300  | 1.9754          |
+| 1.7749        | 7.0   | 350  | 1.9592          |
+| 1.7061        | 8.0   | 400  | 1.9498          |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.0
+- Datasets 2.3.2
+- Tokenizers 0.12.1