End of training
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README.md
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---
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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-full-length
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results: []
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# bart-base-re-attention-full-length
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3891
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- Rouge1: 22.3018
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- Rouge2: 17.8356
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- Rougel: 21.5799
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- Rougelsum: 22.1186
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- Gen Len: 25.9895
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## Model description
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- num_epochs: 1
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 1.6685 | 1.0 | 4736 | 1.3891 | 22.3018 | 17.8356 | 21.5799 | 22.1186 | 25.9895 |
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### Framework versions
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- Transformers 4.35.0
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---
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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-full-length
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results: []
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# bart-base-re-attention-full-length
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This model was trained from scratch on the None dataset.
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## Model description
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.0
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model.safetensors
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