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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: 0.2336
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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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- | 0.2457 | 1.0 | 1 | 182.1457 |
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- | 172.1656 | 2.0 | 2 | 70.2012 |
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- | 65.8886 | 3.0 | 3 | 0.9762 |
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- | 1.3285 | 4.0 | 4 | 32.2423 |
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- | 26.8466 | 5.0 | 5 | 17.0469 |
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- | 13.8796 | 6.0 | 6 | 12.6859 |
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- | 10.1587 | 7.0 | 7 | 7.0046 |
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- | 5.4361 | 8.0 | 8 | 2.5272 |
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- | 1.7421 | 9.0 | 9 | 0.5463 |
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- | 0.3238 | 10.0 | 10 | 0.2336 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.2122
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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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+ | 0.3875 | 1.0 | 1 | 193.7451 |
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+ | 176.6205 | 2.0 | 2 | 67.3707 |
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+ | 59.7935 | 3.0 | 3 | 0.7692 |
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+ | 0.6997 | 4.0 | 4 | 1.1924 |
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+ | 1.0481 | 5.0 | 5 | 6.9250 |
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+ | 6.4428 | 6.0 | 6 | 10.4059 |
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+ | 9.5356 | 7.0 | 7 | 3.7911 |
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+ | 3.5411 | 8.0 | 8 | 0.7080 |
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+ | 0.6259 | 9.0 | 9 | 2.0620 |
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+ | 1.8183 | 10.0 | 10 | 0.5511 |
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+ | 0.4832 | 11.0 | 11 | 1.8261 |
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+ | 1.7219 | 12.0 | 12 | 3.0991 |
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+ | 2.9314 | 13.0 | 13 | 1.2140 |
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+ | 1.1776 | 14.0 | 14 | 0.5618 |
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+ | 0.5003 | 15.0 | 15 | 1.2087 |
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+ | 1.019 | 16.0 | 16 | 0.3980 |
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+ | 0.3441 | 17.0 | 17 | 1.0748 |
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+ | 1.0519 | 18.0 | 18 | 1.8093 |
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+ | 1.7163 | 19.0 | 19 | 0.7556 |
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+ | 0.7415 | 20.0 | 20 | 0.4668 |
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+ | 0.4209 | 21.0 | 21 | 0.8939 |
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+ | 0.78 | 22.0 | 22 | 0.3421 |
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+ | 0.3046 | 23.0 | 23 | 0.7928 |
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+ | 0.773 | 24.0 | 24 | 1.3035 |
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+ | 1.2436 | 25.0 | 25 | 0.5759 |
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+ | 0.577 | 26.0 | 26 | 0.4136 |
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+ | 0.3697 | 27.0 | 27 | 0.7350 |
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+ | 0.6573 | 28.0 | 28 | 0.3152 |
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+ | 0.2891 | 29.0 | 29 | 0.6358 |
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+ | 0.6361 | 30.0 | 30 | 1.0179 |
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+ | 0.976 | 31.0 | 31 | 0.4738 |
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+ | 0.4792 | 32.0 | 32 | 0.3808 |
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+ | 0.3367 | 33.0 | 33 | 0.6379 |
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+ | 0.556 | 34.0 | 34 | 0.3007 |
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+ | 0.275 | 35.0 | 35 | 0.5268 |
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+ | 0.5081 | 36.0 | 36 | 0.8208 |
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+ | 0.8002 | 37.0 | 37 | 0.4035 |
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+ | 0.4111 | 38.0 | 38 | 0.3569 |
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+ | 0.3208 | 39.0 | 39 | 0.5670 |
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+ | 0.495 | 40.0 | 40 | 0.2902 |
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+ | 0.2728 | 41.0 | 41 | 0.4459 |
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+ | 0.4394 | 42.0 | 42 | 0.6731 |
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+ | 0.6649 | 43.0 | 43 | 0.3518 |
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+ | 0.3682 | 44.0 | 44 | 0.3366 |
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+ | 0.3202 | 45.0 | 45 | 0.5087 |
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+ | 0.4577 | 46.0 | 46 | 0.2815 |
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+ | 0.2578 | 47.0 | 47 | 0.3818 |
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+ | 0.3896 | 48.0 | 48 | 0.5542 |
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+ | 0.5497 | 49.0 | 49 | 0.3102 |
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+ | 0.3193 | 50.0 | 50 | 0.3202 |
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+ | 0.2954 | 51.0 | 51 | 0.4611 |
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+ | 0.4 | 52.0 | 52 | 0.2750 |
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+ | 0.2485 | 53.0 | 53 | 0.3298 |
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+ | 0.3217 | 54.0 | 54 | 0.4582 |
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+ | 0.4494 | 55.0 | 55 | 0.2784 |
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+ | 0.2772 | 56.0 | 56 | 0.3036 |
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+ | 0.2832 | 57.0 | 57 | 0.4157 |
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+ | 0.37 | 58.0 | 58 | 0.2668 |
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+ | 0.25 | 59.0 | 59 | 0.2911 |
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+ | 0.2939 | 60.0 | 60 | 0.3842 |
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+ | 0.3931 | 61.0 | 61 | 0.2552 |
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+ | 0.2607 | 62.0 | 62 | 0.2865 |
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+ | 0.2761 | 63.0 | 63 | 0.3727 |
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+ | 0.3326 | 64.0 | 64 | 0.2578 |
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+ | 0.2541 | 65.0 | 65 | 0.2620 |
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+ | 0.2678 | 66.0 | 66 | 0.3262 |
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+ | 0.3435 | 67.0 | 67 | 0.2380 |
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+ | 0.2443 | 68.0 | 68 | 0.2699 |
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+ | 0.25 | 69.0 | 69 | 0.3334 |
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+ | 0.3088 | 70.0 | 70 | 0.2487 |
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+ | 0.2376 | 71.0 | 71 | 0.2404 |
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+ | 0.2436 | 72.0 | 72 | 0.2820 |
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+ | 0.2906 | 73.0 | 73 | 0.2257 |
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+ | 0.2263 | 74.0 | 74 | 0.2541 |
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+ | 0.2322 | 75.0 | 75 | 0.2976 |
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+ | 0.2684 | 76.0 | 76 | 0.2391 |
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+ | 0.2353 | 77.0 | 77 | 0.2257 |
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+ | 0.2371 | 78.0 | 78 | 0.2502 |
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+ | 0.2527 | 79.0 | 79 | 0.2178 |
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+ | 0.2257 | 80.0 | 80 | 0.2392 |
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+ | 0.229 | 81.0 | 81 | 0.2661 |
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+ | 0.2632 | 82.0 | 82 | 0.2299 |
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+ | 0.2335 | 83.0 | 83 | 0.2163 |
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+ | 0.2155 | 84.0 | 84 | 0.2283 |
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+ | 0.2309 | 85.0 | 85 | 0.2128 |
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+ | 0.2059 | 86.0 | 86 | 0.2267 |
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+ | 0.2337 | 87.0 | 87 | 0.2408 |
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+ | 0.2267 | 88.0 | 88 | 0.2220 |
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+ | 0.2138 | 89.0 | 89 | 0.2111 |
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+ | 0.2172 | 90.0 | 90 | 0.2151 |
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+ | 0.21 | 91.0 | 91 | 0.2102 |
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+ | 0.2127 | 92.0 | 92 | 0.2173 |
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+ | 0.2245 | 93.0 | 93 | 0.2226 |
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+ | 0.2154 | 94.0 | 94 | 0.2159 |
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+ | 0.202 | 95.0 | 95 | 0.2096 |
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+ | 0.2113 | 96.0 | 96 | 0.2098 |
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+ | 0.2145 | 97.0 | 97 | 0.2097 |
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+ | 0.2109 | 98.0 | 98 | 0.2113 |
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+ | 0.2057 | 99.0 | 99 | 0.2123 |
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+ | 0.2178 | 100.0 | 100 | 0.2122 |
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  ### Framework versions
model.safetensors CHANGED
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