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Training done for bart-large-cnn

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  1. README.md +4 -3
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@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # bart-large-cnn-samsum
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- This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5032
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  ## Model description
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@@ -50,11 +50,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.3905 | 0.5431 | 500 | 1.5032 |
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  ### Framework versions
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  - Transformers 4.46.3
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  - Pytorch 2.5.1+cu121
 
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  - Tokenizers 0.20.3
 
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  # bart-large-cnn-samsum
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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: 1.5051
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.3826 | 0.5431 | 500 | 1.5051 |
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  ### Framework versions
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  - Transformers 4.46.3
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  - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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  - Tokenizers 0.20.3