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@@ -8,6 +8,7 @@ metrics:
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  model-index:
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  - name: PTS-Bart-Large-CNN
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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
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # PTS-Bart-Large-CNN
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- This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2638
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  - Rouge1: 0.6376
@@ -24,7 +25,7 @@ It achieves the following results on the evaluation set:
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  - Rougelsum: 0.5387
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  - Gen Len: 76.8417
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- ## Model description
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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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@@ -69,4 +70,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.41.2
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: PTS-Bart-Large-CNN
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  results: []
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+ pipeline_tag: summarization
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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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  # PTS-Bart-Large-CNN
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+ This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the PTS dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2638
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  - Rouge1: 0.6376
 
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  - Rougelsum: 0.5387
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  - Gen Len: 76.8417
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+ <!-- ## Model description
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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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  - Transformers 4.41.2
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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+ - Tokenizers 0.19.1