update model card README.md

README.md

@@ -0,0 +1,81 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- pub_med_summarization_dataset
+metrics:
+- rouge
+model-index:
+- name: bart-large-cnn-finetuned-pubmed
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: pub_med_summarization_dataset
+      type: pub_med_summarization_dataset
+      args: document
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 40.4866
+---
+
+<!-- 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-large-cnn-finetuned-pubmed
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the pub_med_summarization_dataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8416
+- Rouge1: 40.4866
+- Rouge2: 16.7472
+- Rougel: 24.9831
+- Rougelsum: 36.4002
+- Gen Len: 142.0
+
+## 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| 1.932         | 1.0   | 4000  | 1.8110          | 38.1151 | 15.2255 | 23.4286 | 34.2521   | 141.8905 |
+| 1.7001        | 2.0   | 8000  | 1.7790          | 39.8217 | 16.3042 | 24.649  | 35.831    | 142.0    |
+| 1.5           | 3.0   | 12000 | 1.7971          | 40.6108 | 17.0446 | 25.1977 | 36.5556   | 141.9865 |
+| 1.3316        | 4.0   | 16000 | 1.8106          | 40.0466 | 16.4851 | 24.7094 | 36.0998   | 141.9335 |
+| 1.1996        | 5.0   | 20000 | 1.8416          | 40.4866 | 16.7472 | 24.9831 | 36.4002   | 142.0    |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.3
+- Tokenizers 0.11.6