update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: PegasusMedicalSummary
+  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. -->
+
+# PegasusMedicalSummary
+
+This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1438
+- Rouge1: 0.4318
+- Rouge2: 0.2525
+- Rougel: 0.3524
+- Rougelsum: 0.3525
+- Gen Len: 55.882
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 6.5172        | 1.0   | 999  | 0.1784          | 0.4161 | 0.2373 | 0.3388 | 0.3384    | 52.102  |
+| 0.3174        | 2.0   | 1999 | 0.1550          | 0.4236 | 0.2434 | 0.343  | 0.3428    | 54.458  |
+| 0.2632        | 3.0   | 2999 | 0.1462          | 0.4269 | 0.2467 | 0.3465 | 0.3464    | 55.503  |
+| 0.2477        | 4.0   | 3996 | 0.1438          | 0.4318 | 0.2525 | 0.3524 | 0.3525    | 55.882  |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu117
+- Datasets 2.11.0
+- Tokenizers 0.13.3