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-1000-pad-early-lit
+  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-1000-pad-early-lit
+
+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: 0.4800
+- Rouge1: 28.4538
+- Rouge2: 13.5656
+- Rougel: 22.2066
+- Rougelsum: 25.3361
+- Gen Len: 66.53
+
+## 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.1556        | 1.0   | 1000 | 0.4383          | 29.1275 | 14.1415 | 22.5802 | 26.37     | 65.93   |
+| 0.0853        | 2.0   | 2000 | 0.4800          | 28.4538 | 13.5656 | 22.2066 | 25.3361   | 66.53   |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.10.2
+- Datasets 1.18.3
+- Tokenizers 0.11.0