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Akshith4/yt_summarizer

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4469
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- - Rouge1: 54.1048
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- - Rouge2: 29.4288
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- - Rougel: 44.7135
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- - Rougelsum: 49.7824
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- - Gen Len: 30.1333
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  ## Model description
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@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | 1.4237 | 0.9997 | 1841 | 1.5096 | 52.578 | 27.25 | 43.167 | 47.8705 | 29.2381 |
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- | 1.0961 | 2.0 | 3683 | 1.4730 | 53.0543 | 28.2549 | 43.5716 | 48.5957 | 30.1355 |
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- | 0.8667 | 2.9997 | 5524 | 1.5579 | 52.8621 | 28.224 | 43.9952 | 48.5389 | 28.0488 |
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- | 0.7011 | 3.9989 | 7364 | 1.6067 | 52.4772 | 27.6106 | 43.5235 | 48.0805 | 29.8877 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6098
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+ - Rouge1: 52.3831
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+ - Rouge2: 27.5513
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+ - Rougel: 43.5051
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+ - Rougelsum: 48.1509
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+ - Gen Len: 30.1941
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 1.4242 | 0.9997 | 1841 | 1.5158 | 52.6686 | 27.364 | 43.1196 | 47.9363 | 30.5824 |
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+ | 1.0951 | 2.0 | 3683 | 1.5060 | 52.8177 | 27.6542 | 43.6251 | 48.207 | 30.2051 |
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+ | 0.8624 | 2.9997 | 5524 | 1.5495 | 52.6928 | 28.1014 | 43.8451 | 48.4256 | 28.4212 |
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+ | 0.6984 | 3.9989 | 7364 | 1.6098 | 52.3831 | 27.5513 | 43.5051 | 48.1509 | 30.1941 |
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  ### Framework versions
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