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-base-finetuned-summarization
+  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-base-finetuned-summarization
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2885
+- Rouge1: 31.8585
+- Rouge2: 20.7559
+- Rougel: 28.879
+- Rougelsum: 29.6017
+
+## 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: 5.6e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 1.8516        | 1.0   | 308  | 1.3028          | 29.4331 | 19.2619 | 27.1598 | 28.1099   |
+| 1.2211        | 2.0   | 616  | 1.2506          | 30.2583 | 19.7126 | 28.1328 | 28.9654   |
+| 0.911         | 3.0   | 924  | 1.2316          | 29.3854 | 18.6132 | 27.3488 | 28.2225   |
+| 0.6824        | 4.0   | 1232 | 1.2583          | 32.0664 | 22.0751 | 29.521  | 30.5109   |
+| 0.542         | 5.0   | 1540 | 1.2885          | 31.8585 | 20.7559 | 28.879  | 29.6017   |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3