update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: facebook/bart-base
+tags:
+- generated_from_trainer
+datasets:
+- clupubhealth
+metrics:
+- rouge
+model-index:
+- name: clu-pubhealth-base-3
+ results:
+ - task:
+ name: Sequence-to-sequence Language Modeling
+ type: text2text-generation
+ dataset:
+ name: clupubhealth
+ type: clupubhealth
+ config: base
+ split: test
+ args: base
+ metrics:
+ - name: Rouge1
+ type: rouge
+ value: 28.0559
+---
+
+<!-- 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. -->
+
+# clu-pubhealth-base-3
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the clupubhealth dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2514
+- Rouge1: 28.0559
+- Rouge2: 9.0287
+- Rougel: 22.2344
+- Rougelsum: 22.4603
+- Gen Len: 19.695
+
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 20
+- total_train_batch_size: 160
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 3.2512 | 0.63 | 20 | 2.2514 | 28.0559 | 9.0287 | 22.2344 | 22.4603 | 19.695 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2