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-ing-extraction-e4
+  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-ing-extraction-e4
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6226
+- Rouge1: 10.8186
+- Rouge2: 4.3032
+- Rougel: 10.7802
+- Rougelsum: 10.7952
+- Gen Len: 57.5739
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 0.6235        | 1.0   | 762  | 3.1458          | 14.9141 | 5.5712 | 14.7529 | 14.8292   | 57.6903 |
+| 0.2435        | 2.0   | 1524 | 2.2255          | 6.4408  | 2.4546 | 6.4219  | 6.4393    | 57.2955 |
+| 0.1467        | 3.0   | 2286 | 2.9673          | 9.9243  | 3.9008 | 9.932   | 9.9268    | 57.6506 |
+| 0.0627        | 4.0   | 3048 | 2.6226          | 10.8186 | 4.3032 | 10.7802 | 10.7952   | 57.5739 |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3