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  1. README.md +29 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1679
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- - Rouge1: 33.2921
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- - Rouge2: 26.4362
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- - Rougel: 33.3429
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- - Rougelsum: 33.528
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- - Gen Len: 15.06
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  ## Model description
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@@ -45,15 +45,32 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | No log | 1.0 | 125 | 0.2445 | 0.0 | 0.0 | 0.0 | 0.0 | 200.0 |
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- | No log | 2.0 | 250 | 0.1816 | 33.2921 | 26.4362 | 33.3429 | 33.528 | 12.04 |
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- | No log | 3.0 | 375 | 0.1679 | 33.2921 | 26.4362 | 33.3429 | 33.528 | 15.06 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1305
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+ - Rouge1: 34.725
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+ - Rouge2: 21.4916
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+ - Rougel: 33.3614
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+ - Rougelsum: 34.1142
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+ - Gen Len: 20.706
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 20
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 0.0684 | 1.0 | 7500 | 0.0752 | 34.4312 | 25.586 | 34.2067 | 34.2816 | 14.065 |
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+ | 0.0626 | 2.0 | 15000 | 0.0694 | 38.0498 | 26.9882 | 37.2064 | 37.6682 | 19.492 |
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+ | 0.0599 | 3.0 | 22500 | 0.0676 | 37.9403 | 26.7796 | 37.0514 | 37.571 | 21.805 |
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+ | 0.054 | 4.0 | 30000 | 0.0661 | 38.1215 | 26.8065 | 37.3608 | 37.7763 | 18.883 |
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+ | 0.0484 | 5.0 | 37500 | 0.0658 | 39.0689 | 27.489 | 38.0601 | 38.8175 | 20.556 |
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+ | 0.043 | 6.0 | 45000 | 0.0679 | 38.5537 | 26.6503 | 37.4722 | 38.1314 | 20.994 |
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+ | 0.0378 | 7.0 | 52500 | 0.0701 | 37.8821 | 26.1994 | 36.7872 | 37.4123 | 19.978 |
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+ | 0.0324 | 8.0 | 60000 | 0.0741 | 38.5791 | 26.2187 | 37.3411 | 38.0767 | 21.761 |
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+ | 0.0269 | 9.0 | 67500 | 0.0787 | 36.2698 | 24.3513 | 35.1553 | 35.7864 | 20.512 |
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+ | 0.0199 | 10.0 | 75000 | 0.0848 | 34.8266 | 22.0111 | 33.591 | 34.3348 | 19.67 |
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+ | 0.0158 | 11.0 | 82500 | 0.0921 | 34.5083 | 21.5876 | 33.273 | 34.0396 | 20.663 |
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+ | 0.0114 | 12.0 | 90000 | 0.0990 | 33.6601 | 20.3509 | 32.3799 | 33.1785 | 21.574 |
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+ | 0.0078 | 13.0 | 97500 | 0.1057 | 33.5222 | 20.262 | 32.3084 | 33.0449 | 20.7 |
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+ | 0.0057 | 14.0 | 105000 | 0.1122 | 32.9482 | 19.0875 | 31.6809 | 32.4176 | 21.562 |
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+ | 0.0037 | 15.0 | 112500 | 0.1172 | 33.2572 | 19.0712 | 31.8675 | 32.7193 | 21.432 |
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+ | 0.0027 | 16.0 | 120000 | 0.1215 | 34.0583 | 20.5815 | 32.5961 | 33.4699 | 21.379 |
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+ | 0.0019 | 17.0 | 127500 | 0.1257 | 34.3046 | 21.1929 | 33.0026 | 33.6992 | 20.687 |
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+ | 0.0013 | 18.0 | 135000 | 0.1280 | 34.9621 | 21.8578 | 33.6017 | 34.3908 | 21.249 |
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+ | 0.001 | 19.0 | 142500 | 0.1298 | 35.1328 | 21.8242 | 33.7634 | 34.5288 | 20.567 |
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+ | 0.0007 | 20.0 | 150000 | 0.1305 | 34.725 | 21.4916 | 33.3614 | 34.1142 | 20.706 |
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  ### Framework versions
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