update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: pegasus-cnn_dailymail-v4-e1-e4-feedback
+  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_dailymail-v4-e1-e4-feedback
+
+This model is a fine-tuned version of [theojolliffe/pegasus-cnn_dailymail-v4-e1](https://huggingface.co/theojolliffe/pegasus-cnn_dailymail-v4-e1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.1815
+- Rouge1: 59.7329
+- Rouge2: 42.429
+- Rougel: 53.5945
+- Rougelsum: 52.9219
+- Gen Len: 37.8636
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 90   | 5.5674          | 60.4652 | 43.8057 | 54.5759 | 52.5243   | 39.5    |
+| No log        | 2.0   | 180  | 5.3261          | 60.248  | 43.9953 | 54.9492 | 53.6372   | 38.6364 |
+| No log        | 3.0   | 270  | 5.2167          | 60.4887 | 43.6915 | 54.3825 | 53.5206   | 37.1364 |
+| No log        | 4.0   | 360  | 5.1815          | 59.7329 | 42.429  | 53.5945 | 52.9219   | 37.8636 |
+
+
+### Framework versions
+
+- Transformers 4.12.3
+- Pytorch 1.9.0
+- Datasets 1.18.0
+- Tokenizers 0.10.3