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MIDICausalFinetuning2

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  1. README.md +102 -102
  2. config.json +5 -6
  3. generation_config.json +2 -2
  4. model.safetensors +2 -2
  5. training_args.bin +1 -1
README.md CHANGED
@@ -11,9 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # MIDICausalFinetuning2
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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: 0.0792
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  ## Model description
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@@ -44,106 +44,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 1 | 0.2220 |
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- | No log | 2.0 | 2 | 0.3231 |
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- | No log | 3.0 | 3 | 0.1594 |
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- | No log | 4.0 | 4 | 0.2779 |
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- | No log | 5.0 | 5 | 0.5279 |
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- | No log | 6.0 | 6 | 0.5107 |
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- | No log | 7.0 | 7 | 0.3730 |
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- | No log | 8.0 | 8 | 0.1183 |
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- | No log | 9.0 | 9 | 0.2105 |
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- | No log | 10.0 | 10 | 0.3465 |
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- | No log | 11.0 | 11 | 0.3662 |
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- | No log | 12.0 | 12 | 0.3249 |
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- | No log | 13.0 | 13 | 0.2316 |
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- | No log | 14.0 | 14 | 0.1033 |
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- | No log | 15.0 | 15 | 0.1101 |
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- | No log | 16.0 | 16 | 0.1897 |
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- | No log | 17.0 | 17 | 0.2074 |
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- | No log | 18.0 | 18 | 0.1727 |
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- | No log | 19.0 | 19 | 0.1067 |
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- | No log | 20.0 | 20 | 0.0694 |
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- | No log | 21.0 | 21 | 0.1424 |
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- | No log | 22.0 | 22 | 0.2002 |
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- | No log | 23.0 | 23 | 0.2203 |
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- | No log | 24.0 | 24 | 0.2071 |
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- | No log | 25.0 | 25 | 0.1653 |
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- | No log | 26.0 | 26 | 0.1028 |
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- | No log | 27.0 | 27 | 0.0684 |
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- | No log | 28.0 | 28 | 0.1184 |
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- | No log | 29.0 | 29 | 0.1826 |
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- | No log | 30.0 | 30 | 0.2139 |
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- | No log | 31.0 | 31 | 0.2120 |
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- | No log | 32.0 | 32 | 0.1774 |
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- | No log | 33.0 | 33 | 0.1160 |
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- | No log | 34.0 | 34 | 0.0666 |
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- | No log | 35.0 | 35 | 0.1077 |
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- | No log | 36.0 | 36 | 0.1752 |
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- | No log | 37.0 | 37 | 0.2090 |
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- | No log | 38.0 | 38 | 0.2131 |
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- | No log | 39.0 | 39 | 0.1884 |
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- | No log | 40.0 | 40 | 0.1337 |
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- | No log | 41.0 | 41 | 0.0706 |
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- | No log | 42.0 | 42 | 0.1016 |
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- | No log | 43.0 | 43 | 0.1948 |
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- | No log | 44.0 | 44 | 0.2694 |
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- | No log | 45.0 | 45 | 0.3035 |
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- | No log | 46.0 | 46 | 0.2986 |
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- | No log | 47.0 | 47 | 0.2562 |
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- | No log | 48.0 | 48 | 0.1692 |
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- | No log | 49.0 | 49 | 0.0745 |
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- | No log | 50.0 | 50 | 0.1205 |
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- | No log | 51.0 | 51 | 0.1986 |
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- | No log | 52.0 | 52 | 0.2338 |
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- | No log | 53.0 | 53 | 0.2541 |
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- | No log | 54.0 | 54 | 0.2320 |
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- | No log | 55.0 | 55 | 0.1643 |
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- | No log | 56.0 | 56 | 0.0704 |
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- | No log | 57.0 | 57 | 0.0978 |
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- | No log | 58.0 | 58 | 0.1339 |
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- | No log | 59.0 | 59 | 0.1193 |
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- | No log | 60.0 | 60 | 0.0714 |
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- | No log | 61.0 | 61 | 0.0755 |
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- | No log | 62.0 | 62 | 0.1143 |
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- | No log | 63.0 | 63 | 0.1206 |
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- | No log | 64.0 | 64 | 0.0819 |
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- | No log | 65.0 | 65 | 0.0846 |
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- | No log | 66.0 | 66 | 0.2298 |
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- | No log | 67.0 | 67 | 0.3107 |
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- | No log | 68.0 | 68 | 0.4166 |
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- | No log | 69.0 | 69 | 0.4878 |
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- | No log | 70.0 | 70 | 0.5105 |
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- | No log | 71.0 | 71 | 0.5005 |
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- | No log | 72.0 | 72 | 0.4607 |
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- | No log | 73.0 | 73 | 0.3838 |
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- | No log | 74.0 | 74 | 0.2592 |
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- | No log | 75.0 | 75 | 0.0993 |
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- | No log | 76.0 | 76 | 0.1212 |
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- | No log | 77.0 | 77 | 0.2278 |
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- | No log | 78.0 | 78 | 0.2807 |
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- | No log | 79.0 | 79 | 0.2971 |
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- | No log | 80.0 | 80 | 0.2864 |
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- | No log | 81.0 | 81 | 0.2735 |
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- | No log | 82.0 | 82 | 0.2480 |
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- | No log | 83.0 | 83 | 0.2467 |
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- | No log | 84.0 | 84 | 0.2657 |
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- | No log | 85.0 | 85 | 0.2947 |
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- | No log | 86.0 | 86 | 0.3001 |
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- | No log | 87.0 | 87 | 0.2881 |
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- | No log | 88.0 | 88 | 0.2645 |
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- | No log | 89.0 | 89 | 0.2312 |
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- | No log | 90.0 | 90 | 0.1919 |
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- | No log | 91.0 | 91 | 0.1683 |
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- | No log | 92.0 | 92 | 0.1534 |
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- | No log | 93.0 | 93 | 0.1325 |
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- | No log | 94.0 | 94 | 0.1247 |
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- | No log | 95.0 | 95 | 0.1123 |
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- | No log | 96.0 | 96 | 0.1052 |
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- | No log | 97.0 | 97 | 0.0964 |
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- | No log | 98.0 | 98 | 0.0883 |
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- | No log | 99.0 | 99 | 0.0824 |
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- | No log | 100.0 | 100 | 0.0792 |
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  ### Framework versions
 
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  # MIDICausalFinetuning2
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+ This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1068
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 1 | 3.6134 |
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+ | No log | 2.0 | 2 | 3.0302 |
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+ | No log | 3.0 | 3 | 2.6249 |
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+ | No log | 4.0 | 4 | 2.2908 |
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+ | No log | 5.0 | 5 | 1.9804 |
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+ | No log | 6.0 | 6 | 1.6890 |
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+ | No log | 7.0 | 7 | 1.4256 |
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+ | No log | 8.0 | 8 | 1.1977 |
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+ | No log | 9.0 | 9 | 1.0097 |
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+ | No log | 10.0 | 10 | 0.8565 |
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+ | No log | 11.0 | 11 | 0.7343 |
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+ | No log | 12.0 | 12 | 0.6354 |
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+ | No log | 13.0 | 13 | 0.5562 |
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+ | No log | 14.0 | 14 | 0.4943 |
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+ | No log | 15.0 | 15 | 0.4439 |
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+ | No log | 16.0 | 16 | 0.4030 |
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+ | No log | 17.0 | 17 | 0.3669 |
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+ | No log | 18.0 | 18 | 0.3356 |
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+ | No log | 19.0 | 19 | 0.3081 |
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+ | No log | 20.0 | 20 | 0.2850 |
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+ | No log | 21.0 | 21 | 0.2650 |
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+ | No log | 22.0 | 22 | 0.2477 |
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+ | No log | 23.0 | 23 | 0.2327 |
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+ | No log | 24.0 | 24 | 0.2189 |
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+ | No log | 25.0 | 25 | 0.2075 |
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+ | No log | 26.0 | 26 | 0.1977 |
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+ | No log | 27.0 | 27 | 0.1889 |
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+ | No log | 28.0 | 28 | 0.1809 |
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+ | No log | 29.0 | 29 | 0.1740 |
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+ | No log | 30.0 | 30 | 0.1678 |
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+ | No log | 31.0 | 31 | 0.1622 |
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+ | No log | 32.0 | 32 | 0.1575 |
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+ | No log | 33.0 | 33 | 0.1534 |
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+ | No log | 34.0 | 34 | 0.1499 |
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+ | No log | 35.0 | 35 | 0.1466 |
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+ | No log | 36.0 | 36 | 0.1435 |
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+ | No log | 37.0 | 37 | 0.1408 |
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+ | No log | 38.0 | 38 | 0.1385 |
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+ | No log | 39.0 | 39 | 0.1362 |
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+ | No log | 40.0 | 40 | 0.1342 |
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+ | No log | 41.0 | 41 | 0.1320 |
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+ | No log | 42.0 | 42 | 0.1300 |
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+ | No log | 43.0 | 43 | 0.1283 |
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+ | No log | 44.0 | 44 | 0.1271 |
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+ | No log | 45.0 | 45 | 0.1258 |
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+ | No log | 46.0 | 46 | 0.1244 |
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+ | No log | 47.0 | 47 | 0.1231 |
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+ | No log | 48.0 | 48 | 0.1223 |
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+ | No log | 49.0 | 49 | 0.1216 |
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+ | No log | 50.0 | 50 | 0.1213 |
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+ | No log | 51.0 | 51 | 0.1209 |
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+ | No log | 52.0 | 52 | 0.1201 |
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+ | No log | 53.0 | 53 | 0.1190 |
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+ | No log | 54.0 | 54 | 0.1178 |
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+ | No log | 55.0 | 55 | 0.1169 |
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+ | No log | 56.0 | 56 | 0.1164 |
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+ | No log | 57.0 | 57 | 0.1161 |
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+ | No log | 58.0 | 58 | 0.1160 |
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+ | No log | 59.0 | 59 | 0.1160 |
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+ | No log | 60.0 | 60 | 0.1161 |
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+ | No log | 61.0 | 61 | 0.1158 |
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+ | No log | 62.0 | 62 | 0.1155 |
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+ | No log | 63.0 | 63 | 0.1146 |
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+ | No log | 64.0 | 64 | 0.1135 |
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+ | No log | 65.0 | 65 | 0.1125 |
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+ | No log | 66.0 | 66 | 0.1120 |
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+ | No log | 67.0 | 67 | 0.1121 |
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+ | No log | 68.0 | 68 | 0.1124 |
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+ | No log | 69.0 | 69 | 0.1126 |
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+ | No log | 70.0 | 70 | 0.1131 |
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+ | No log | 71.0 | 71 | 0.1133 |
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+ | No log | 72.0 | 72 | 0.1128 |
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+ | No log | 73.0 | 73 | 0.1119 |
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+ | No log | 74.0 | 74 | 0.1113 |
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+ | No log | 75.0 | 75 | 0.1107 |
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+ | No log | 76.0 | 76 | 0.1101 |
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+ | No log | 77.0 | 77 | 0.1096 |
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+ | No log | 78.0 | 78 | 0.1092 |
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+ | No log | 79.0 | 79 | 0.1090 |
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+ | No log | 80.0 | 80 | 0.1088 |
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+ | No log | 81.0 | 81 | 0.1089 |
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+ | No log | 82.0 | 82 | 0.1089 |
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+ | No log | 83.0 | 83 | 0.1090 |
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+ | No log | 84.0 | 84 | 0.1090 |
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+ | No log | 85.0 | 85 | 0.1089 |
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+ | No log | 86.0 | 86 | 0.1088 |
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+ | No log | 87.0 | 87 | 0.1087 |
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+ | No log | 88.0 | 88 | 0.1086 |
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+ | No log | 89.0 | 89 | 0.1083 |
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+ | No log | 90.0 | 90 | 0.1080 |
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+ | No log | 91.0 | 91 | 0.1077 |
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+ | No log | 92.0 | 92 | 0.1074 |
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+ | No log | 93.0 | 93 | 0.1072 |
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+ | No log | 94.0 | 94 | 0.1071 |
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+ | No log | 95.0 | 95 | 0.1070 |
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+ | No log | 96.0 | 96 | 0.1069 |
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+ | No log | 97.0 | 97 | 0.1069 |
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+ | No log | 98.0 | 98 | 0.1069 |
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+ | No log | 99.0 | 99 | 0.1068 |
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+ | No log | 100.0 | 100 | 0.1068 |
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  ### Framework versions
config.json CHANGED
@@ -1,19 +1,18 @@
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  {
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- "_name_or_path": "MIDICausalFinetuning2/",
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  "activation_function": "gelu_new",
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  "architectures": [
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  "GPT2LMHeadModel"
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  ],
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  "attn_pdrop": 0.1,
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- "bos_token_id": 50256,
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  "embd_pdrop": 0.1,
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- "eos_token_id": 50256,
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
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  "n_ctx": 1024,
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- "n_embd": 768,
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- "n_head": 12,
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  "n_inner": null,
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  "n_layer": 6,
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  "n_positions": 1024,
@@ -29,5 +28,5 @@
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  "torch_dtype": "float32",
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  "transformers_version": "4.41.2",
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  "use_cache": true,
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- "vocab_size": 50257
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  }
 
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  {
 
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  "activation_function": "gelu_new",
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  "architectures": [
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  "GPT2LMHeadModel"
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  ],
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  "attn_pdrop": 0.1,
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+ "bos_token_id": 90,
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  "embd_pdrop": 0.1,
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+ "eos_token_id": 90,
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
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  "n_ctx": 1024,
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+ "n_embd": 400,
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+ "n_head": 10,
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  "n_inner": null,
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  "n_layer": 6,
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  "n_positions": 1024,
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.41.2",
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  "use_cache": true,
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+ "vocab_size": 100
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  }
generation_config.json CHANGED
@@ -1,6 +1,6 @@
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  {
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  "_from_model_config": true,
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- "bos_token_id": 50256,
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- "eos_token_id": 50256,
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  "transformers_version": "4.41.2"
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  }
 
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  {
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  "_from_model_config": true,
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+ "bos_token_id": 90,
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+ "eos_token_id": 90,
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  "transformers_version": "4.41.2"
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  }
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