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: bart-large-finetuned-eLife
+  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-large-finetuned-eLife
+
+This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1974
+- Rouge1: 19.8802
+- Rouge2: 5.0391
+- Rougel: 14.8302
+- Rougelsum: 17.0969
+- Gen Len: 20.0
+
+## 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: 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 | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.6794        | 1.0   | 544  | 2.2901          | 19.6619 | 4.9774 | 14.5683 | 16.7854   | 20.0    |
+| 2.3548        | 2.0   | 1088 | 2.2297          | 18.7282 | 4.8773 | 13.9942 | 16.2091   | 20.0    |
+| 2.1888        | 3.0   | 1632 | 2.1974          | 19.8802 | 5.0391 | 14.8302 | 17.0969   | 20.0    |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2