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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: bart-mlm-pubmed
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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-mlm-pubmed
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7223
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- Rouge2 Precision: 0.6577
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- Rouge2 Recall: 0.5167
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- Rouge2 Fmeasure: 0.5667
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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: 16
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- eval_batch_size: 16
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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: 10
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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 | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| 1.0322 | 1.0 | 663 | 0.7891 | 0.6398 | 0.4995 | 0.5499 |
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| 0.8545 | 2.0 | 1326 | 0.7433 | 0.6464 | 0.5061 | 0.5559 |
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| 0.758 | 3.0 | 1989 | 0.7299 | 0.6479 | 0.5041 | 0.5553 |
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| 0.6431 | 4.0 | 2652 | 0.7185 | 0.656 | 0.5106 | 0.562 |
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| 0.6058 | 5.0 | 3315 | 0.7126 | 0.6542 | 0.5153 | 0.5648 |
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| 0.5726 | 6.0 | 3978 | 0.7117 | 0.6572 | 0.5176 | 0.5674 |
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| 0.5168 | 7.0 | 4641 | 0.7150 | 0.659 | 0.5161 | 0.5668 |
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| 0.5011 | 8.0 | 5304 | 0.7220 | 0.6574 | 0.517 | 0.5669 |
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| 0.4803 | 9.0 | 5967 | 0.7208 | 0.6579 | 0.5167 | 0.5668 |
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| 0.4577 | 10.0 | 6630 | 0.7223 | 0.6577 | 0.5167 | 0.5667 |
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### Framework versions
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- Transformers 4.12.3
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- Pytorch 1.9.0+cu111
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- Datasets 1.15.1
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- Tokenizers 0.10.3
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