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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: bart-large-cnn-finetuned-pubmed-finetuned-roundup-e8
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bart-large-cnn-finetuned-pubmed-finetuned-roundup-e8
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This model is a fine-tuned version of [theojolliffe/bart-large-cnn-finetuned-pubmed](https://huggingface.co/theojolliffe/bart-large-cnn-finetuned-pubmed) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1034
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- Rouge1: 48.4605
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- Rouge2: 28.5961
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- Rougel: 32.5389
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- Rougelsum: 45.7358
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- Gen Len: 142.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 8
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| No log | 1.0 | 25 | 1.4278 | 47.952 | 29.4059 | 34.273 | 45.7244 | 142.0 |
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| No log | 2.0 | 50 | 1.4351 | 48.7561 | 29.4049 | 30.631 | 46.4074 | 142.0 |
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| No log | 3.0 | 75 | 1.5375 | 50.0069 | 31.4237 | 32.0834 | 47.679 | 142.0 |
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| No log | 4.0 | 100 | 1.6647 | 49.6919 | 28.8821 | 31.9357 | 47.0396 | 142.0 |
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| No log | 5.0 | 125 | 1.8070 | 47.8472 | 26.6979 | 30.7049 | 44.5848 | 142.0 |
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| No log | 6.0 | 150 | 1.9981 | 47.8352 | 27.0966 | 31.4529 | 46.5251 | 142.0 |
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| No log | 7.0 | 175 | 2.0904 | 48.6272 | 30.5493 | 32.7827 | 46.8462 | 142.0 |
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| No log | 8.0 | 200 | 2.1034 | 48.4605 | 28.5961 | 32.5389 | 45.7358 | 142.0 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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