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dmusingu
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muk-luganda-digits-classification

Audio Classification
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Safetensors
wav2vec2
Generated from Trainer
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dmusingu/muk-luganda-digits-classification

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  1. README.md +53 -78
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.1901
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- - Accuracy: 0.2414
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  ## Model description
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@@ -45,87 +45,62 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 75
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.304 | 1.0 | 58 | 2.3169 | 0.1034 |
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- | 2.2989 | 2.0 | 116 | 2.3166 | 0.0690 |
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- | 2.2921 | 3.0 | 174 | 2.3167 | 0.1379 |
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- | 2.2843 | 4.0 | 232 | 2.3237 | 0.1034 |
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- | 2.2657 | 5.0 | 290 | 2.3195 | 0.0690 |
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- | 2.2519 | 6.0 | 348 | 2.2997 | 0.1034 |
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- | 2.2187 | 7.0 | 406 | 2.3050 | 0.1034 |
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- | 2.15 | 8.0 | 464 | 2.2577 | 0.1034 |
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- | 2.0555 | 9.0 | 522 | 2.2375 | 0.1379 |
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- | 1.9332 | 10.0 | 580 | 2.2008 | 0.2414 |
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- | 1.8073 | 11.0 | 638 | 2.1950 | 0.1724 |
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- | 1.6742 | 12.0 | 696 | 2.2654 | 0.1724 |
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- | 1.5511 | 13.0 | 754 | 2.1905 | 0.1724 |
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- | 1.4453 | 14.0 | 812 | 2.2018 | 0.2069 |
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- | 1.3227 | 15.0 | 870 | 2.1572 | 0.2759 |
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- | 1.2019 | 16.0 | 928 | 2.4037 | 0.2414 |
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- | 1.1151 | 17.0 | 986 | 2.4147 | 0.3103 |
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- | 0.9743 | 18.0 | 1044 | 2.3563 | 0.2759 |
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- | 0.9336 | 19.0 | 1102 | 2.2765 | 0.3103 |
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- | 0.852 | 20.0 | 1160 | 2.3266 | 0.3448 |
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- | 0.7096 | 21.0 | 1218 | 2.2129 | 0.4138 |
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- | 0.6183 | 22.0 | 1276 | 2.4103 | 0.3103 |
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- | 0.6018 | 23.0 | 1334 | 2.8189 | 0.2759 |
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- | 0.5155 | 24.0 | 1392 | 2.9791 | 0.2759 |
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- | 0.4233 | 25.0 | 1450 | 2.9289 | 0.3103 |
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- | 0.4213 | 26.0 | 1508 | 3.2987 | 0.2759 |
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- | 0.4613 | 27.0 | 1566 | 3.1643 | 0.3103 |
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- | 0.4414 | 28.0 | 1624 | 2.9910 | 0.3448 |
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- | 0.4033 | 29.0 | 1682 | 3.2960 | 0.3103 |
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- | 0.3761 | 30.0 | 1740 | 3.5232 | 0.2759 |
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- | 0.2886 | 31.0 | 1798 | 3.9775 | 0.2414 |
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- | 0.3646 | 32.0 | 1856 | 3.4826 | 0.3103 |
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- | 0.3371 | 33.0 | 1914 | 3.5032 | 0.3793 |
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- | 0.2169 | 34.0 | 1972 | 3.4125 | 0.3448 |
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- | 0.2906 | 35.0 | 2030 | 3.3535 | 0.3793 |
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- | 0.414 | 36.0 | 2088 | 3.7734 | 0.2069 |
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- | 0.2058 | 37.0 | 2146 | 3.7419 | 0.2759 |
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- | 0.188 | 38.0 | 2204 | 3.7832 | 0.3103 |
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- | 0.2209 | 39.0 | 2262 | 3.6297 | 0.2414 |
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- | 0.2403 | 40.0 | 2320 | 3.7870 | 0.3103 |
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- | 0.2483 | 41.0 | 2378 | 3.9331 | 0.3448 |
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- | 0.2409 | 42.0 | 2436 | 4.1382 | 0.3103 |
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- | 0.2415 | 43.0 | 2494 | 4.1796 | 0.2759 |
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- | 0.1496 | 44.0 | 2552 | 4.1671 | 0.3448 |
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- | 0.1874 | 45.0 | 2610 | 4.5372 | 0.2069 |
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- | 0.2092 | 46.0 | 2668 | 4.8994 | 0.2414 |
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- | 0.2016 | 47.0 | 2726 | 4.4871 | 0.2414 |
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- | 0.259 | 48.0 | 2784 | 4.1237 | 0.2759 |
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- | 0.2078 | 49.0 | 2842 | 4.9369 | 0.2414 |
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- | 0.1413 | 50.0 | 2900 | 4.9249 | 0.2414 |
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- | 0.1453 | 51.0 | 2958 | 5.1858 | 0.2414 |
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- | 0.1963 | 52.0 | 3016 | 3.9934 | 0.3103 |
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- | 0.2249 | 53.0 | 3074 | 4.2996 | 0.3103 |
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- | 0.2058 | 54.0 | 3132 | 3.7626 | 0.3448 |
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- | 0.2483 | 55.0 | 3190 | 4.6947 | 0.2759 |
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- | 0.209 | 56.0 | 3248 | 4.0701 | 0.3793 |
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- | 0.144 | 57.0 | 3306 | 4.5588 | 0.2414 |
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- | 0.2093 | 58.0 | 3364 | 4.9072 | 0.3103 |
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- | 0.143 | 59.0 | 3422 | 5.1035 | 0.2414 |
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- | 0.2102 | 60.0 | 3480 | 5.3840 | 0.2069 |
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- | 0.1507 | 61.0 | 3538 | 5.3511 | 0.2414 |
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- | 0.1826 | 62.0 | 3596 | 5.0179 | 0.2069 |
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- | 0.1407 | 63.0 | 3654 | 5.2103 | 0.1724 |
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- | 0.1395 | 64.0 | 3712 | 5.4675 | 0.2069 |
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- | 0.1683 | 65.0 | 3770 | 5.3124 | 0.2414 |
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- | 0.1761 | 66.0 | 3828 | 4.8748 | 0.2414 |
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- | 0.1868 | 67.0 | 3886 | 4.9547 | 0.2414 |
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- | 0.2524 | 68.0 | 3944 | 4.9069 | 0.2759 |
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- | 0.1367 | 69.0 | 4002 | 4.8562 | 0.2414 |
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- | 0.1368 | 70.0 | 4060 | 4.9808 | 0.2414 |
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- | 0.1841 | 71.0 | 4118 | 5.1471 | 0.2414 |
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- | 0.1658 | 72.0 | 4176 | 5.1741 | 0.2414 |
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- | 0.1553 | 73.0 | 4234 | 5.2040 | 0.2414 |
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- | 0.1625 | 74.0 | 4292 | 5.1895 | 0.2414 |
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- | 0.1823 | 75.0 | 4350 | 5.1901 | 0.2414 |
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  ### Framework versions
 
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19
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
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+ - Loss: 3.5449
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+ - Accuracy: 0.4074
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.3049 | 1.0 | 54 | 2.3001 | 0.1481 |
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+ | 2.3005 | 2.0 | 108 | 2.2915 | 0.1481 |
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+ | 2.2891 | 3.0 | 162 | 2.3343 | 0.0370 |
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+ | 2.2854 | 4.0 | 216 | 2.3094 | 0.1481 |
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+ | 2.2712 | 5.0 | 270 | 2.2933 | 0.1111 |
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+ | 2.2165 | 6.0 | 324 | 2.2550 | 0.2222 |
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+ | 2.1481 | 7.0 | 378 | 2.2200 | 0.2222 |
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+ | 2.0545 | 8.0 | 432 | 2.1018 | 0.2593 |
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+ | 1.9068 | 9.0 | 486 | 2.0617 | 0.2963 |
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+ | 1.7759 | 10.0 | 540 | 2.1664 | 0.2593 |
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+ | 1.6251 | 11.0 | 594 | 2.0445 | 0.2222 |
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+ | 1.5145 | 12.0 | 648 | 1.9165 | 0.3333 |
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+ | 1.4075 | 13.0 | 702 | 2.0330 | 0.3704 |
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+ | 1.2961 | 14.0 | 756 | 1.9470 | 0.2963 |
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+ | 1.1658 | 15.0 | 810 | 2.0028 | 0.3704 |
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+ | 1.0908 | 16.0 | 864 | 1.8138 | 0.4444 |
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+ | 0.9521 | 17.0 | 918 | 1.7541 | 0.4815 |
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+ | 0.9248 | 18.0 | 972 | 1.8824 | 0.3704 |
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+ | 0.7958 | 19.0 | 1026 | 2.0027 | 0.3704 |
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+ | 0.7779 | 20.0 | 1080 | 1.8436 | 0.4074 |
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+ | 0.5893 | 21.0 | 1134 | 2.0125 | 0.3704 |
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+ | 0.562 | 22.0 | 1188 | 2.0260 | 0.3704 |
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+ | 0.4615 | 23.0 | 1242 | 2.0379 | 0.4074 |
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+ | 0.4278 | 24.0 | 1296 | 2.3882 | 0.4074 |
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+ | 0.3636 | 25.0 | 1350 | 2.6060 | 0.2963 |
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+ | 0.3296 | 26.0 | 1404 | 2.4405 | 0.4444 |
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+ | 0.3482 | 27.0 | 1458 | 2.5822 | 0.3704 |
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+ | 0.2662 | 28.0 | 1512 | 2.6888 | 0.3704 |
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+ | 0.3329 | 29.0 | 1566 | 3.1140 | 0.2963 |
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+ | 0.2645 | 30.0 | 1620 | 3.2849 | 0.2963 |
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+ | 0.2165 | 31.0 | 1674 | 3.1829 | 0.3704 |
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+ | 0.2171 | 32.0 | 1728 | 3.0587 | 0.3704 |
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+ | 0.2514 | 33.0 | 1782 | 3.2568 | 0.3704 |
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+ | 0.2567 | 34.0 | 1836 | 3.3578 | 0.3704 |
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+ | 0.1854 | 35.0 | 1890 | 3.6047 | 0.3333 |
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+ | 0.185 | 36.0 | 1944 | 3.6464 | 0.3704 |
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+ | 0.201 | 37.0 | 1998 | 3.6722 | 0.3704 |
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+ | 0.1585 | 38.0 | 2052 | 3.6374 | 0.3333 |
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+ | 0.2236 | 39.0 | 2106 | 3.6314 | 0.3333 |
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+ | 0.2301 | 40.0 | 2160 | 3.4098 | 0.4074 |
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+ | 0.1859 | 41.0 | 2214 | 3.4478 | 0.4074 |
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+ | 0.2495 | 42.0 | 2268 | 3.4725 | 0.3704 |
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+ | 0.184 | 43.0 | 2322 | 3.5353 | 0.3704 |
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+ | 0.2292 | 44.0 | 2376 | 3.5383 | 0.4074 |
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+ | 0.1335 | 45.0 | 2430 | 3.5161 | 0.4074 |
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+ | 0.174 | 46.0 | 2484 | 3.5052 | 0.4074 |
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+ | 0.1404 | 47.0 | 2538 | 3.5248 | 0.4074 |
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+ | 0.159 | 48.0 | 2592 | 3.5334 | 0.4074 |
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+ | 0.1914 | 49.0 | 2646 | 3.5406 | 0.4074 |
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+ | 0.1816 | 50.0 | 2700 | 3.5449 | 0.4074 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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