update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-model2-1309
+  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-model2-1309
+
+This model is a fine-tuned version of [theojolliffe/bart-paraphrase-v4-e1-feedback](https://huggingface.co/theojolliffe/bart-paraphrase-v4-e1-feedback) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1465
+- Rouge1: 60.8818
+- Rouge2: 53.2203
+- Rougel: 60.2427
+- Rougelsum: 60.557
+- Gen Len: 19.6498
+
+## 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.914         | 1.0   | 867  | 0.1465          | 60.8818 | 53.2203 | 60.2427 | 60.557    | 19.6498 |
+
+
+### Framework versions
+
+- Transformers 4.12.3
+- Pytorch 1.9.0
+- Datasets 1.18.0
+- Tokenizers 0.10.3