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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-finetuned-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-finetuned-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: 1.7626
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- Rouge2 Precision: 0.3149
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- Rouge2 Recall: 0.2118
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- Rouge2 Fmeasure: 0.2349
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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: 3
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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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| No log | 1.0 | 100 | 1.7898 | 0.3222 | 0.2373 | 0.2535 |
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| No log | 2.0 | 200 | 1.7738 | 0.3125 | 0.2167 | 0.2402 |
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| No log | 3.0 | 300 | 1.7626 | 0.3149 | 0.2118 | 0.2349 |
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### Framework versions
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- Transformers 4.12.2
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- Pytorch 1.9.0+cu111
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- Datasets 1.14.0
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- Tokenizers 0.10.3
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