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-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-large-finetuned-summarization
+
+This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1841
+- Rouge1: 32.6763
+- Rouge2: 23.1598
+- Rougel: 31.2322
+- Rougelsum: 32.278
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 1.7048        | 1.0   | 308  | 1.1916          | 32.0296 | 21.6931 | 30.2623 | 31.1959   |
+| 1.1153        | 2.0   | 616  | 1.2054          | 30.7076 | 21.7771 | 29.3115 | 29.9377   |
+| 0.78          | 3.0   | 924  | 1.1096          | 32.4164 | 22.494  | 31.0367 | 31.8135   |
+| 0.5335        | 4.0   | 1232 | 1.1547          | 33.2561 | 23.6119 | 32.1371 | 32.591    |
+| 0.361         | 5.0   | 1540 | 1.1841          | 32.6763 | 23.1598 | 31.2322 | 32.278    |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3