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-3-4
+  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-3-4
+
+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: 1.1949
+- Rouge1: 49.6216
+- Rouge2: 29.1874
+- Rougel: 32.042
+- Rougelsum: 46.3679
+- Gen Len: 140.9688
+
+## 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   | 258  | 1.2708          | 48.8914 | 29.2868 | 30.6203 | 46.2886   | 142.0    |
+| 1.1751        | 2.0   | 516  | 1.1869          | 49.3567 | 28.4751 | 31.3075 | 46.3408   | 141.75   |
+| 1.1751        | 3.0   | 774  | 1.1869          | 48.8335 | 28.4976 | 30.5434 | 46.2584   | 141.625  |
+| 0.7391        | 4.0   | 1032 | 1.1949          | 49.6216 | 29.1874 | 32.042  | 46.3679   | 140.9688 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.1.0
+- Tokenizers 0.12.1