update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-large-cnn-finetuned-roundup-2-4
+  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-cnn-finetuned-roundup-2-4
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0908
+- Rouge1: 51.9961
+- Rouge2: 32.3963
+- Rougel: 32.1774
+- Rougelsum: 50.1033
+- Gen Len: 141.0
+
+## 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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| No log        | 1.0   | 167  | 1.2152          | 52.234  | 33.1104 | 33.308  | 49.5516   | 142.0    |
+| No log        | 2.0   | 334  | 1.1054          | 52.7096 | 33.4698 | 33.9595 | 49.8736   | 140.3333 |
+| 1.0437        | 3.0   | 501  | 1.0796          | 51.699  | 32.4255 | 34.0294 | 49.5276   | 141.7143 |
+| 1.0437        | 4.0   | 668  | 1.0908          | 51.9961 | 32.3963 | 32.1774 | 50.1033   | 141.0    |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.1.0
+- Tokenizers 0.12.1