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syncopation-transformer

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Safetensors
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End of training

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  1. README.md +102 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ 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: 1.1460
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  ## Model description
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@@ -39,22 +39,112 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 1 | 213.8262 |
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- | No log | 2.0 | 2 | 86.0476 |
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- | No log | 3.0 | 3 | 1.8898 |
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- | No log | 4.0 | 4 | 11.8308 |
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- | No log | 5.0 | 5 | 6.8865 |
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- | No log | 6.0 | 6 | 5.2928 |
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- | No log | 7.0 | 7 | 1.8665 |
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- | No log | 8.0 | 8 | 0.1144 |
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- | No log | 9.0 | 9 | 0.7031 |
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- | 29.3281 | 10.0 | 10 | 1.1460 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.0973
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 1 | 192.8459 |
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+ | No log | 2.0 | 2 | 64.4402 |
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+ | No log | 3.0 | 3 | 3.7712 |
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+ | No log | 4.0 | 4 | 0.3231 |
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+ | No log | 5.0 | 5 | 9.1778 |
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+ | No log | 6.0 | 6 | 13.1925 |
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+ | No log | 7.0 | 7 | 5.6001 |
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+ | No log | 8.0 | 8 | 0.1200 |
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+ | No log | 9.0 | 9 | 0.7680 |
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+ | 26.677 | 10.0 | 10 | 0.0755 |
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+ | 26.677 | 11.0 | 11 | 3.4709 |
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+ | 26.677 | 12.0 | 12 | 5.3153 |
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+ | 26.677 | 13.0 | 13 | 2.6850 |
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+ | 26.677 | 14.0 | 14 | 0.0772 |
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+ | 26.677 | 15.0 | 15 | 0.1906 |
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+ | 26.677 | 16.0 | 16 | 0.1281 |
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+ | 26.677 | 17.0 | 17 | 0.0957 |
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+ | 26.677 | 18.0 | 18 | 0.2089 |
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+ | 26.677 | 19.0 | 19 | 0.0748 |
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+ | 0.9411 | 20.0 | 20 | 0.2931 |
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+ | 0.9411 | 21.0 | 21 | 0.0878 |
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+ | 0.9411 | 22.0 | 22 | 0.3664 |
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+ | 0.9411 | 23.0 | 23 | 0.1125 |
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+ | 0.9411 | 24.0 | 24 | 0.7279 |
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+ | 0.9411 | 25.0 | 25 | 1.0839 |
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+ | 0.9411 | 26.0 | 26 | 0.3350 |
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+ | 0.9411 | 27.0 | 27 | 0.4076 |
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+ | 0.9411 | 28.0 | 28 | 0.8740 |
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+ | 0.9411 | 29.0 | 29 | 0.3742 |
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+ | 0.3824 | 30.0 | 30 | 0.2117 |
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+ | 0.3824 | 31.0 | 31 | 0.4093 |
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+ | 0.3824 | 32.0 | 32 | 0.1054 |
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+ | 0.3824 | 33.0 | 33 | 0.6465 |
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+ | 0.3824 | 34.0 | 34 | 1.0987 |
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+ | 0.3824 | 35.0 | 35 | 0.5409 |
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+ | 0.3824 | 36.0 | 36 | 0.0975 |
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+ | 0.3824 | 37.0 | 37 | 0.1994 |
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+ | 0.3824 | 38.0 | 38 | 0.0748 |
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+ | 0.3824 | 39.0 | 39 | 0.7246 |
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+ | 0.3106 | 40.0 | 40 | 1.1199 |
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+ | 0.3106 | 41.0 | 41 | 0.5915 |
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+ | 0.3106 | 42.0 | 42 | 0.0758 |
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+ | 0.3106 | 43.0 | 43 | 0.1236 |
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+ | 0.3106 | 44.0 | 44 | 0.0807 |
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+ | 0.3106 | 45.0 | 45 | 0.7084 |
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+ | 0.3106 | 46.0 | 46 | 1.0392 |
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+ | 0.3106 | 47.0 | 47 | 0.5748 |
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+ | 0.3106 | 48.0 | 48 | 0.0760 |
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+ | 0.3106 | 49.0 | 49 | 0.0932 |
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+ | 0.2882 | 50.0 | 50 | 0.0903 |
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+ | 0.2882 | 51.0 | 51 | 0.5475 |
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+ | 0.2882 | 52.0 | 52 | 0.6946 |
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+ | 0.2882 | 53.0 | 53 | 0.3125 |
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+ | 0.2882 | 54.0 | 54 | 0.0986 |
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+ | 0.2882 | 55.0 | 55 | 0.1967 |
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+ | 0.2882 | 56.0 | 56 | 0.1001 |
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+ | 0.2882 | 57.0 | 57 | 0.2047 |
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+ | 0.2882 | 58.0 | 58 | 0.2976 |
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+ | 0.2882 | 59.0 | 59 | 0.1292 |
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+ | 0.1612 | 60.0 | 60 | 0.1672 |
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+ | 0.1612 | 61.0 | 61 | 0.2822 |
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+ | 0.1612 | 62.0 | 62 | 0.1514 |
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+ | 0.1612 | 63.0 | 63 | 0.1082 |
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+ | 0.1612 | 64.0 | 64 | 0.1593 |
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+ | 0.1612 | 65.0 | 65 | 0.0843 |
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+ | 0.1612 | 66.0 | 66 | 0.1180 |
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+ | 0.1612 | 67.0 | 67 | 0.0759 |
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+ | 0.1612 | 68.0 | 68 | 0.0953 |
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+ | 0.1612 | 69.0 | 69 | 0.1482 |
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+ | 0.1041 | 70.0 | 70 | 0.0926 |
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+ | 0.1041 | 71.0 | 71 | 0.1255 |
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+ | 0.1041 | 72.0 | 72 | 0.0799 |
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+ | 0.1041 | 73.0 | 73 | 0.1016 |
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+ | 0.1041 | 74.0 | 74 | 0.0844 |
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+ | 0.1041 | 75.0 | 75 | 0.1376 |
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+ | 0.1041 | 76.0 | 76 | 0.1075 |
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+ | 0.1041 | 77.0 | 77 | 0.0800 |
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+ | 0.1041 | 78.0 | 78 | 0.0858 |
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+ | 0.1041 | 79.0 | 79 | 0.0767 |
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+ | 0.0468 | 80.0 | 80 | 0.1910 |
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+ | 0.0468 | 81.0 | 81 | 0.2635 |
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+ | 0.0468 | 82.0 | 82 | 0.2050 |
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+ | 0.0468 | 83.0 | 83 | 0.0982 |
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+ | 0.0468 | 84.0 | 84 | 0.0816 |
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+ | 0.0468 | 85.0 | 85 | 0.0981 |
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+ | 0.0468 | 86.0 | 86 | 0.0829 |
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+ | 0.0468 | 87.0 | 87 | 0.0804 |
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+ | 0.0468 | 88.0 | 88 | 0.1765 |
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+ | 0.0468 | 89.0 | 89 | 0.2547 |
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+ | 0.0779 | 90.0 | 90 | 0.2526 |
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+ | 0.0779 | 91.0 | 91 | 0.1894 |
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+ | 0.0779 | 92.0 | 92 | 0.1140 |
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+ | 0.0779 | 93.0 | 93 | 0.0752 |
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+ | 0.0779 | 94.0 | 94 | 0.0785 |
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+ | 0.0779 | 95.0 | 95 | 0.0806 |
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+ | 0.0779 | 96.0 | 96 | 0.0770 |
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+ | 0.0779 | 97.0 | 97 | 0.0748 |
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+ | 0.0779 | 98.0 | 98 | 0.0791 |
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+ | 0.0779 | 99.0 | 99 | 0.0888 |
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+ | 0.0596 | 100.0 | 100 | 0.0973 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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