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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_prepro_fix |
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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_prepro_fix |
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This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6100 |
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- Rouge1: 35.5593 |
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- Rouge2: 13.0497 |
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- Rougel: 23.5672 |
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- Bleu1: 29.5206 |
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- Bleu2: 17.3914 |
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- Bleu3: 10.5577 |
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- Bleu4: 6.1502 |
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- Rdass: 0.6449 |
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- Gen Len: 49.7389 |
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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: 64 |
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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 | Bleu1 | Bleu2 | Bleu3 | Bleu4 | Rdass | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:------:|:------:|:-------:| |
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| 2.1622 | 1.51 | 1000 | 2.6687 | 35.4366 | 12.8631 | 23.1588 | 29.4018 | 17.2004 | 10.3744 | 6.052 | 0.6379 | 49.4266 | |
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| 2.0114 | 3.02 | 2000 | 2.6090 | 35.1436 | 13.0347 | 23.4682 | 28.8917 | 17.0965 | 10.1873 | 5.896 | 0.6389 | 46.1096 | |
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| 1.8758 | 4.53 | 3000 | 2.6100 | 35.5593 | 13.0497 | 23.5672 | 29.5206 | 17.3914 | 10.5577 | 6.1502 | 0.6449 | 49.7389 | |
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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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