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End of training

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  1. README.md +0 -16
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: apache-2.0
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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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- 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: []
@@ -16,13 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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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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-
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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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-
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-
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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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