MIDICausalFinetuning2
Browse files- README.md +102 -102
- config.json +5 -6
- generation_config.json +2 -2
- model.safetensors +2 -2
- 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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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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 |
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| No log | 2.0 | 2 |
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| No log | 3.0 | 3 |
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| No log | 5.0 | 5 |
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| No log | 7.0 | 7 |
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| No log | 8.0 | 8 |
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| No log | 9.0 | 9 |
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| No log | 10.0 | 10 | 0.
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| No log | 11.0 | 11 | 0.
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| No log | 12.0 | 12 | 0.
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| No log | 13.0 | 13 | 0.
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| No log | 14.0 | 14 | 0.
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| No log | 15.0 | 15 | 0.
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| No log | 16.0 | 16 | 0.
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| No log | 17.0 | 17 | 0.
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| No log | 18.0 | 18 | 0.
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| No log | 19.0 | 19 | 0.
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| No log | 20.0 | 20 | 0.
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| No log | 21.0 | 21 | 0.
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| No log | 22.0 | 22 | 0.
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| No log | 23.0 | 23 | 0.
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70 |
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| No log | 24.0 | 24 | 0.
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71 |
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| No log | 25.0 | 25 | 0.
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| No log | 26.0 | 26 | 0.
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| No log | 27.0 | 27 | 0.
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| No log | 28.0 | 28 | 0.
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| No log | 29.0 | 29 | 0.
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| No log | 30.0 | 30 | 0.
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| No log | 31.0 | 31 | 0.
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| No log | 32.0 | 32 | 0.
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| No log | 33.0 | 33 | 0.
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| No log | 34.0 | 34 | 0.
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| No log | 35.0 | 35 | 0.
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| No log | 36.0 | 36 | 0.
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| No log | 37.0 | 37 | 0.
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| No log | 38.0 | 38 | 0.
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| No log | 39.0 | 39 | 0.
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| No log | 40.0 | 40 | 0.
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| No log | 41.0 | 41 | 0.
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| No log | 42.0 | 42 | 0.
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| No log | 43.0 | 43 | 0.
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| No log | 44.0 | 44 | 0.
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| No log | 45.0 | 45 | 0.
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| No log | 46.0 | 46 | 0.
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| No log | 47.0 | 47 | 0.
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| No log | 48.0 | 48 | 0.
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| No log | 49.0 | 49 | 0.
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| No log | 50.0 | 50 | 0.
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| No log | 51.0 | 51 | 0.
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| No log | 52.0 | 52 | 0.
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| No log | 53.0 | 53 | 0.
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| No log | 54.0 | 54 | 0.
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| No log | 55.0 | 55 | 0.
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| No log | 56.0 | 56 | 0.
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| No log | 57.0 | 57 | 0.
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| No log | 58.0 | 58 | 0.
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| No log | 59.0 | 59 | 0.
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| No log | 60.0 | 60 | 0.
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| No log | 61.0 | 61 | 0.
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| No log | 62.0 | 62 | 0.
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| No log | 63.0 | 63 | 0.
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| No log | 64.0 | 64 | 0.
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| No log | 65.0 | 65 | 0.
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| No log | 66.0 | 66 | 0.
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| No log | 67.0 | 67 | 0.
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| No log | 68.0 | 68 | 0.
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| No log | 69.0 | 69 | 0.
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| No log | 70.0 | 70 | 0.
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| No log | 71.0 | 71 | 0.
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| No log | 72.0 | 72 | 0.
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| No log | 73.0 | 73 | 0.
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| No log | 74.0 | 74 | 0.
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| No log | 75.0 | 75 | 0.
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| No log | 76.0 | 76 | 0.
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| No log | 77.0 | 77 | 0.
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| No log | 78.0 | 78 | 0.
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| No log | 79.0 | 79 | 0.
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| No log | 80.0 | 80 | 0.
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| No log | 81.0 | 81 | 0.
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| No log | 82.0 | 82 | 0.
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| No log | 83.0 | 83 | 0.
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| No log | 84.0 | 84 | 0.
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| No log | 85.0 | 85 | 0.
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| No log | 86.0 | 86 | 0.
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| No log | 87.0 | 87 | 0.
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| No log | 88.0 | 88 | 0.
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| No log | 89.0 | 89 | 0.
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| No log | 90.0 | 90 | 0.
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| No log | 91.0 | 91 | 0.
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| No log | 92.0 | 92 | 0.
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| No log | 93.0 | 93 | 0.
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| No log | 94.0 | 94 | 0.
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| No log | 95.0 | 95 | 0.
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| No log | 96.0 | 96 | 0.
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| No log | 97.0 | 97 | 0.
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| No log | 98.0 | 98 | 0.
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| No log | 99.0 | 99 | 0.
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| No log | 100.0 | 100 | 0.
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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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|
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## Model description
|
19 |
|
|
|
44 |
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| Training Loss | Epoch | Step | Validation Loss |
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46 |
|:-------------:|:-----:|:----:|:---------------:|
|
47 |
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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
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config.json
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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":
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"embd_pdrop": 0.1,
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-
"eos_token_id":
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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":
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-
"n_head":
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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":
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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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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id":
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"eos_token_id":
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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-
size
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|
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c9b6a967d656ad309fb693a28be59ff806604d805703ebb5df05fbaa6ceea20
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size 48013952
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training_args.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 5112
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|
|
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version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:c91f04cbadf50a1c039de513d4899e6716902460142bd69d8bd5b1745cd13909
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size 5112
|