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CyrexPro
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bart-base-finetuned-cnn_dailymail

Text2Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
bart
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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Apr27_15-29-20_DESKTOP-I570M0U/events.out.tfevents.1714222081.DESKTOP-I570M0U.706441.1 +2 -2
README.md CHANGED
@@ -15,16 +15,16 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.0513
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- - Rouge1: 24.267
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- - Rouge2: 11.7305
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- - Rougel: 20.2444
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- - Rougelsum: 22.6768
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- - Bleu 1: 4.2724
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- - Bleu 2: 2.7858
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- - Bleu 3: 2.0352
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- - Meteor: 12.0395
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- - Compression rate: 4.0329
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  ## Model description
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@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor | Compression rate |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:-------:|:----------------:|
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- | 1.1979 | 1.0 | 625 | 1.0653 | 23.882 | 11.5236 | 19.9616 | 22.36 | 4.1676 | 2.7136 | 1.9845 | 11.8215 | 4.0625 |
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- | 1.0449 | 2.0 | 1250 | 1.0513 | 24.267 | 11.7305 | 20.2444 | 22.6768 | 4.2724 | 2.7858 | 2.0352 | 12.0395 | 4.0329 |
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  ### Framework versions
 
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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: 1.0630
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+ - Rouge1: 24.3848
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+ - Rouge2: 11.9084
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+ - Rougel: 20.4417
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+ - Rougelsum: 22.8529
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+ - Bleu 1: 4.2165
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+ - Bleu 2: 2.7545
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+ - Bleu 3: 2.0142
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+ - Meteor: 12.0942
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+ - Compression rate: 4.0424
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor | Compression rate |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:-------:|:----------------:|
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+ | 1.0338 | 1.0 | 625 | 1.0627 | 24.0787 | 11.6839 | 20.0581 | 22.5223 | 4.1226 | 2.7042 | 1.978 | 11.9435 | 4.0643 |
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+ | 0.9118 | 2.0 | 1250 | 1.0630 | 24.3848 | 11.9084 | 20.4417 | 22.8529 | 4.2165 | 2.7545 | 2.0142 | 12.0942 | 4.0424 |
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  ### Framework versions
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