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-summarizer_03
+  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-summarizer_03
+
+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: 1.0999
+- Rouge1: 51.6222
+- Rouge2: 33.428
+- Rougel: 40.2093
+- Rougelsum: 47.7154
+- Gen Len: 102.7962
+
+## 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: 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| 0.9348        | 1.0   | 17166 | 0.9969          | 51.0763 | 32.9497 | 39.6851 | 47.0744   | 99.664   |
+| 0.7335        | 2.0   | 34332 | 1.0019          | 51.8002 | 33.8081 | 40.5887 | 47.9445   | 99.7884  |
+| 0.471         | 3.0   | 51498 | 1.0999          | 51.6222 | 33.428  | 40.2093 | 47.7154   | 102.7962 |
+
+
+### Framework versions
+
+- Transformers 4.12.3
+- Pytorch 1.9.0+cu111
+- Datasets 1.15.1
+- Tokenizers 0.10.3