update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-cnn-science-v3-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-cnn-science-v3-e4
+
+This model is a fine-tuned version of [theojolliffe/bart-cnn-science](https://huggingface.co/theojolliffe/bart-cnn-science) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8265
+- Rouge1: 53.0296
+- Rouge2: 33.4957
+- Rougel: 35.8876
+- Rougelsum: 50.0786
+- Gen Len: 141.5926
+
+## 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   | 398  | 0.9965          | 52.4108 | 32.1506 | 35.0281 | 50.0368   | 142.0    |
+| 1.176         | 2.0   | 796  | 0.8646          | 52.7182 | 32.9681 | 35.1454 | 49.9527   | 141.8333 |
+| 0.7201        | 3.0   | 1194 | 0.8354          | 52.5417 | 32.6428 | 35.8703 | 49.8037   | 142.0    |
+| 0.5244        | 4.0   | 1592 | 0.8265          | 53.0296 | 33.4957 | 35.8876 | 50.0786   | 141.5926 |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1