update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-cnn-science-v3-e3
+  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. -->
+
+# bart-cnn-science-v3-e3
+
+This model is a fine-tuned version of [theojolliffe/bart-cnn-science](https://huggingface.co/theojolliffe/bart-cnn-science) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8586
+- Rouge1: 53.3497
+- Rouge2: 34.0001
+- Rougel: 35.6149
+- Rougelsum: 50.5723
+- Gen Len: 141.3519
+
+## 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| No log        | 1.0   | 398  | 0.9977          | 51.8104 | 31.5395 | 33.6887 | 49.2385   | 142.0    |
+| 1.1785        | 2.0   | 796  | 0.8875          | 53.7817 | 34.5394 | 35.9556 | 51.3317   | 141.537  |
+| 0.7376        | 3.0   | 1194 | 0.8586          | 53.3497 | 34.0001 | 35.6149 | 50.5723   | 141.3519 |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1