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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: 0.6572 |
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- Rouge2 Recall: 0.5164 |
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- Rouge2 Fmeasure: 0.5662 |
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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 | 0.639 | 0.4989 | 0.5491 | |
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| 0.8545 | 2.0 | 1326 | 0.7433 | 0.6461 | 0.5057 | 0.5556 | |
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| 0.758 | 3.0 | 1989 | 0.7299 | 0.647 | 0.5033 | 0.5547 | |
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| 0.6431 | 4.0 | 2652 | 0.7185 | 0.6556 | 0.5101 | 0.5616 | |
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| 0.6058 | 5.0 | 3315 | 0.7126 | 0.6537 | 0.5144 | 0.5638 | |
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| 0.5726 | 6.0 | 3978 | 0.7117 | 0.6567 | 0.5169 | 0.5666 | |
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| 0.5168 | 7.0 | 4641 | 0.7150 | 0.6585 | 0.5154 | 0.566 | |
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| 0.5011 | 8.0 | 5304 | 0.7220 | 0.6568 | 0.5164 | 0.5664 | |
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| 0.4803 | 9.0 | 5967 | 0.7208 | 0.6573 | 0.5161 | 0.5662 | |
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| 0.4577 | 10.0 | 6630 | 0.7223 | 0.6572 | 0.5164 | 0.5662 | |
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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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