update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-stats-extract
+  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-stats-extract
+
+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: 0.3450
+- Rouge1: 62.2604
+- Rouge2: 51.3208
+- Rougel: 55.5471
+- Rougelsum: 58.157
+- Gen Len: 90.4286
+
+## 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   | 4    | 1.0447          | 51.308  | 37.3054 | 44.334  | 47.5415   | 74.0    |
+| No log        | 2.0   | 8    | 0.5919          | 55.1069 | 43.0158 | 49.1003 | 51.4122   | 92.2857 |
+| No log        | 3.0   | 12   | 0.4159          | 60.2464 | 48.6734 | 54.0306 | 54.847    | 95.1429 |
+| No log        | 4.0   | 16   | 0.3450          | 62.2604 | 51.3208 | 55.5471 | 58.157    | 90.4286 |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3