update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: etsummerizer_v2
+  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. -->
+
+# etsummerizer_v2
+
+This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3484
+- Rouge1: 0.5448
+- Rouge2: 0.3092
+- Rougel: 0.4363
+- Rougelsum: 0.4370
+
+## 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: 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 3.5           | 1.0   | 30   | 0.5565          | 0.5111 | 0.2863 | 0.4092 | 0.4093    |
+| 0.3056        | 2.0   | 60   | 0.3612          | 0.5267 | 0.3021 | 0.4277 | 0.4286    |
+| 0.1716        | 3.0   | 90   | 0.3484          | 0.5448 | 0.3092 | 0.4363 | 0.4370    |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.0+cpu
+- Datasets 2.1.0
+- Tokenizers 0.13.3