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-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-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: 1.2573
+- Rouge1: 49.0193
+- Rouge2: 28.6311
+- Rougel: 31.3363
+- Rougelsum: 46.1408
+- 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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 132  | 1.3178          | 48.4526 | 28.6361 | 30.2875 | 45.4822   | 142.0   |
+| No log        | 2.0   | 264  | 1.2404          | 48.139  | 28.2459 | 29.3584 | 45.0785   | 142.0   |
+| No log        | 3.0   | 396  | 1.2389          | 49.74   | 29.7834 | 33.143  | 46.8147   | 142.0   |
+| 0.9855        | 4.0   | 528  | 1.2573          | 49.0193 | 28.6311 | 31.3363 | 46.1408   | 142.0   |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.1.0
+- Tokenizers 0.12.1