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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: final_bart
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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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# final_bart
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This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6848
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- Rouge1: 35.7722
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- Rouge2: 12.5127
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- Rougel: 23.3002
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- Rdass: 0.6248
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- Bleu1: 30.5261
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- Bleu2: 17.6264
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- Bleu3: 10.3974
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- Bleu4: 5.4348
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- Gen Len: 53.47
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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: 3e-05
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- train_batch_size: 64
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- eval_batch_size: 128
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rdass | Bleu1 | Bleu2 | Bleu3 | Bleu4 | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:------:|:-------:|:-------:|:-------:|:------:|:-------:|
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| 2.1542 | 1.5 | 1000 | 2.7491 | 33.5554 | 11.2371 | 22.006 | 0.6093 | 27.9938 | 15.5354 | 8.2494 | 4.42 | 50.08 |
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| 2.0071 | 2.99 | 2000 | 2.6813 | 35.0501 | 12.2759 | 22.6669 | 0.6155 | 29.6866 | 17.1396 | 9.7016 | 5.3559 | 54.04 |
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| 1.8694 | 4.49 | 3000 | 2.6848 | 35.7722 | 12.5127 | 23.3002 | 0.6248 | 30.5261 | 17.6264 | 10.3974 | 5.4348 | 53.47 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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