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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-paraphrasing
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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-paraphrasing
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This model is a fine-tuned version of [gayanin/bart-mlm-pubmed](https://huggingface.co/gayanin/bart-mlm-pubmed) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4617
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- Rouge2 Precision: 0.8361
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- Rouge2 Recall: 0.6703
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- Rouge2 Fmeasure: 0.7304
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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: 8
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- eval_batch_size: 8
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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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| 0.4845 | 1.0 | 1325 | 0.4270 | 0.8332 | 0.6701 | 0.7294 |
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| 0.3911 | 2.0 | 2650 | 0.4195 | 0.8358 | 0.6713 | 0.7313 |
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| 0.328 | 3.0 | 3975 | 0.4119 | 0.8355 | 0.6706 | 0.7304 |
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| 0.2783 | 4.0 | 5300 | 0.4160 | 0.8347 | 0.6678 | 0.7284 |
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| 0.2397 | 5.0 | 6625 | 0.4329 | 0.8411 | 0.6747 | 0.7351 |
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| 0.2155 | 6.0 | 7950 | 0.4389 | 0.8382 | 0.6716 | 0.7321 |
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| 0.1888 | 7.0 | 9275 | 0.4432 | 0.838 | 0.6718 | 0.7323 |
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| 0.1724 | 8.0 | 10600 | 0.4496 | 0.8381 | 0.6714 | 0.7319 |
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| 0.1586 | 9.0 | 11925 | 0.4575 | 0.8359 | 0.6704 | 0.7303 |
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| 0.1496 | 10.0 | 13250 | 0.4617 | 0.8361 | 0.6703 | 0.7304 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.4
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- Tokenizers 0.11.6
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