End of training
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README.md
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base_model: facebook/bart-base
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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: bart-base-re-attention-seq-512
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results: []
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# bart-base-re-attention-seq-512
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3456
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- Rouge1: 29.0304
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- Rouge2: 21.6599
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- Rougel: 27.831
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- Rougelsum: 28.473
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- Gen Len: 20.0
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:------:|:---------:|:-------:|
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| 2.5274 | 1.0 | 18247 | 1.3456 | 29.0304 | 21.6599 | 27.831 | 28.473 | 20.0 |
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### Framework versions
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- Transformers 4.33.0
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base_model: facebook/bart-base
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tags:
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- generated_from_trainer
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model-index:
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- name: bart-base-re-attention-seq-512
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results: []
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# bart-base-re-attention-seq-512
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Framework versions
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- Transformers 4.33.0
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pytorch_model.bin
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