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MIDICausalFinetuning3

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0046

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2500

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 2 5.5405
No log 2.0 4 5.0325
No log 3.0 6 4.7177
No log 4.0 8 4.4749
No log 5.0 10 4.2775
No log 6.0 12 4.1023
No log 7.0 14 3.9493
No log 8.0 16 3.8049
No log 9.0 18 3.6544
No log 10.0 20 3.5037
No log 11.0 22 3.3641
No log 12.0 24 3.2441
No log 13.0 26 3.1329
No log 14.0 28 3.0348
No log 15.0 30 2.9454
No log 16.0 32 2.8679
No log 17.0 34 2.7951
No log 18.0 36 2.7301
No log 19.0 38 2.6707
No log 20.0 40 2.6163
No log 21.0 42 2.5664
No log 22.0 44 2.5205
No log 23.0 46 2.4743
No log 24.0 48 2.4311
No log 25.0 50 2.3915
No log 26.0 52 2.3535
No log 27.0 54 2.3181
No log 28.0 56 2.2823
No log 29.0 58 2.2488
No log 30.0 60 2.2135
No log 31.0 62 2.1814
No log 32.0 64 2.1529
No log 33.0 66 2.1267
No log 34.0 68 2.0916
No log 35.0 70 2.0584
No log 36.0 72 2.0278
No log 37.0 74 2.0035
No log 38.0 76 1.9754
No log 39.0 78 1.9415
No log 40.0 80 1.9087
No log 41.0 82 1.8783
No log 42.0 84 1.8498
No log 43.0 86 1.8165
No log 44.0 88 1.7876
No log 45.0 90 1.7620
No log 46.0 92 1.7247
No log 47.0 94 1.6911
No log 48.0 96 1.6706
No log 49.0 98 1.6375
No log 50.0 100 1.6005
No log 51.0 102 1.5718
No log 52.0 104 1.5504
No log 53.0 106 1.5199
No log 54.0 108 1.4864
No log 55.0 110 1.4587
No log 56.0 112 1.4330
No log 57.0 114 1.4038
No log 58.0 116 1.3775
No log 59.0 118 1.3536
No log 60.0 120 1.3279
No log 61.0 122 1.3027
No log 62.0 124 1.2791
No log 63.0 126 1.2499
No log 64.0 128 1.2306
No log 65.0 130 1.2081
No log 66.0 132 1.1771
No log 67.0 134 1.1523
No log 68.0 136 1.1424
No log 69.0 138 1.1139
No log 70.0 140 1.0934
No log 71.0 142 1.0681
No log 72.0 144 1.0496
No log 73.0 146 1.0270
No log 74.0 148 1.0100
No log 75.0 150 0.9921
No log 76.0 152 0.9692
No log 77.0 154 0.9497
No log 78.0 156 0.9315
No log 79.0 158 0.9164
No log 80.0 160 0.8953
No log 81.0 162 0.8901
No log 82.0 164 0.8704
No log 83.0 166 0.8498
No log 84.0 168 0.8385
No log 85.0 170 0.8194
No log 86.0 172 0.8096
No log 87.0 174 0.7917
No log 88.0 176 0.7778
No log 89.0 178 0.7632
No log 90.0 180 0.7439
No log 91.0 182 0.7283
No log 92.0 184 0.7172
No log 93.0 186 0.7065
No log 94.0 188 0.6919
No log 95.0 190 0.6828
No log 96.0 192 0.6715
No log 97.0 194 0.6585
No log 98.0 196 0.6410
No log 99.0 198 0.6281
No log 100.0 200 0.6187
No log 101.0 202 0.6093
No log 102.0 204 0.5976
No log 103.0 206 0.5951
No log 104.0 208 0.5841
No log 105.0 210 0.5747
No log 106.0 212 0.5623
No log 107.0 214 0.5511
No log 108.0 216 0.5395
No log 109.0 218 0.5363
No log 110.0 220 0.5327
No log 111.0 222 0.5181
No log 112.0 224 0.5180
No log 113.0 226 0.5010
No log 114.0 228 0.4934
No log 115.0 230 0.4823
No log 116.0 232 0.4755
No log 117.0 234 0.4691
No log 118.0 236 0.4600
No log 119.0 238 0.4535
No log 120.0 240 0.4430
No log 121.0 242 0.4395
No log 122.0 244 0.4267
No log 123.0 246 0.4250
No log 124.0 248 0.4252
No log 125.0 250 0.4080
No log 126.0 252 0.4073
No log 127.0 254 0.3985
No log 128.0 256 0.3948
No log 129.0 258 0.3848
No log 130.0 260 0.3774
No log 131.0 262 0.3727
No log 132.0 264 0.3671
No log 133.0 266 0.3635
No log 134.0 268 0.3576
No log 135.0 270 0.3515
No log 136.0 272 0.3453
No log 137.0 274 0.3383
No log 138.0 276 0.3310
No log 139.0 278 0.3358
No log 140.0 280 0.3284
No log 141.0 282 0.3177
No log 142.0 284 0.3169
No log 143.0 286 0.3086
No log 144.0 288 0.3071
No log 145.0 290 0.3018
No log 146.0 292 0.2976
No log 147.0 294 0.2915
No log 148.0 296 0.2876
No log 149.0 298 0.2795
No log 150.0 300 0.2828
No log 151.0 302 0.2758
No log 152.0 304 0.2831
No log 153.0 306 0.2690
No log 154.0 308 0.2633
No log 155.0 310 0.2579
No log 156.0 312 0.2594
No log 157.0 314 0.2558
No log 158.0 316 0.2458
No log 159.0 318 0.2477
No log 160.0 320 0.2388
No log 161.0 322 0.2408
No log 162.0 324 0.2322
No log 163.0 326 0.2278
No log 164.0 328 0.2273
No log 165.0 330 0.2202
No log 166.0 332 0.2200
No log 167.0 334 0.2200
No log 168.0 336 0.2147
No log 169.0 338 0.2096
No log 170.0 340 0.2056
No log 171.0 342 0.2075
No log 172.0 344 0.2045
No log 173.0 346 0.1986
No log 174.0 348 0.1950
No log 175.0 350 0.1906
No log 176.0 352 0.1868
No log 177.0 354 0.1873
No log 178.0 356 0.1834
No log 179.0 358 0.1802
No log 180.0 360 0.1803
No log 181.0 362 0.1751
No log 182.0 364 0.1765
No log 183.0 366 0.1727
No log 184.0 368 0.1663
No log 185.0 370 0.1671
No log 186.0 372 0.1646
No log 187.0 374 0.1694
No log 188.0 376 0.1628
No log 189.0 378 0.1726
No log 190.0 380 0.1612
No log 191.0 382 0.1633
No log 192.0 384 0.1556
No log 193.0 386 0.1582
No log 194.0 388 0.1523
No log 195.0 390 0.1509
No log 196.0 392 0.1455
No log 197.0 394 0.1424
No log 198.0 396 0.1418
No log 199.0 398 0.1435
No log 200.0 400 0.1404
No log 201.0 402 0.1451
No log 202.0 404 0.1403
No log 203.0 406 0.1409
No log 204.0 408 0.1370
No log 205.0 410 0.1413
No log 206.0 412 0.1299
No log 207.0 414 0.1332
No log 208.0 416 0.1306
No log 209.0 418 0.1298
No log 210.0 420 0.1260
No log 211.0 422 0.1247
No log 212.0 424 0.1284
No log 213.0 426 0.1241
No log 214.0 428 0.1213
No log 215.0 430 0.1192
No log 216.0 432 0.1172
No log 217.0 434 0.1172
No log 218.0 436 0.1179
No log 219.0 438 0.1135
No log 220.0 440 0.1141
No log 221.0 442 0.1127
No log 222.0 444 0.1097
No log 223.0 446 0.1106
No log 224.0 448 0.1083
No log 225.0 450 0.1073
No log 226.0 452 0.1047
No log 227.0 454 0.1015
No log 228.0 456 0.1009
No log 229.0 458 0.0999
No log 230.0 460 0.0991
No log 231.0 462 0.1009
No log 232.0 464 0.0976
No log 233.0 466 0.0960
No log 234.0 468 0.0959
No log 235.0 470 0.0939
No log 236.0 472 0.0929
No log 237.0 474 0.0926
No log 238.0 476 0.0955
No log 239.0 478 0.0906
No log 240.0 480 0.0924
No log 241.0 482 0.0876
No log 242.0 484 0.0914
No log 243.0 486 0.0896
No log 244.0 488 0.0881
No log 245.0 490 0.0875
No log 246.0 492 0.0844
No log 247.0 494 0.0849
No log 248.0 496 0.0830
No log 249.0 498 0.0828
1.0556 250.0 500 0.0811
1.0556 251.0 502 0.0805
1.0556 252.0 504 0.0807
1.0556 253.0 506 0.0776
1.0556 254.0 508 0.0773
1.0556 255.0 510 0.0780
1.0556 256.0 512 0.0774
1.0556 257.0 514 0.0763
1.0556 258.0 516 0.0763
1.0556 259.0 518 0.0754
1.0556 260.0 520 0.0749
1.0556 261.0 522 0.0744
1.0556 262.0 524 0.0755
1.0556 263.0 526 0.0733
1.0556 264.0 528 0.0722
1.0556 265.0 530 0.0720
1.0556 266.0 532 0.0733
1.0556 267.0 534 0.0747
1.0556 268.0 536 0.0691
1.0556 269.0 538 0.0686
1.0556 270.0 540 0.0685
1.0556 271.0 542 0.0681
1.0556 272.0 544 0.0671
1.0556 273.0 546 0.0676
1.0556 274.0 548 0.0669
1.0556 275.0 550 0.0658
1.0556 276.0 552 0.0646
1.0556 277.0 554 0.0637
1.0556 278.0 556 0.0639
1.0556 279.0 558 0.0624
1.0556 280.0 560 0.0628
1.0556 281.0 562 0.0629
1.0556 282.0 564 0.0620
1.0556 283.0 566 0.0608
1.0556 284.0 568 0.0603
1.0556 285.0 570 0.0601
1.0556 286.0 572 0.0598
1.0556 287.0 574 0.0592
1.0556 288.0 576 0.0585
1.0556 289.0 578 0.0583
1.0556 290.0 580 0.0579
1.0556 291.0 582 0.0571
1.0556 292.0 584 0.0567
1.0556 293.0 586 0.0566
1.0556 294.0 588 0.0560
1.0556 295.0 590 0.0553
1.0556 296.0 592 0.0549
1.0556 297.0 594 0.0551
1.0556 298.0 596 0.0540
1.0556 299.0 598 0.0539
1.0556 300.0 600 0.0537
1.0556 301.0 602 0.0535
1.0556 302.0 604 0.0538
1.0556 303.0 606 0.0529
1.0556 304.0 608 0.0514
1.0556 305.0 610 0.0519
1.0556 306.0 612 0.0518
1.0556 307.0 614 0.0507
1.0556 308.0 616 0.0503
1.0556 309.0 618 0.0499
1.0556 310.0 620 0.0503
1.0556 311.0 622 0.0505
1.0556 312.0 624 0.0489
1.0556 313.0 626 0.0482
1.0556 314.0 628 0.0482
1.0556 315.0 630 0.0480
1.0556 316.0 632 0.0478
1.0556 317.0 634 0.0471
1.0556 318.0 636 0.0469
1.0556 319.0 638 0.0464
1.0556 320.0 640 0.0468
1.0556 321.0 642 0.0468
1.0556 322.0 644 0.0458
1.0556 323.0 646 0.0463
1.0556 324.0 648 0.0461
1.0556 325.0 650 0.0448
1.0556 326.0 652 0.0441
1.0556 327.0 654 0.0434
1.0556 328.0 656 0.0433
1.0556 329.0 658 0.0434
1.0556 330.0 660 0.0433
1.0556 331.0 662 0.0435
1.0556 332.0 664 0.0433
1.0556 333.0 666 0.0427
1.0556 334.0 668 0.0421
1.0556 335.0 670 0.0414
1.0556 336.0 672 0.0412
1.0556 337.0 674 0.0410
1.0556 338.0 676 0.0412
1.0556 339.0 678 0.0418
1.0556 340.0 680 0.0412
1.0556 341.0 682 0.0406
1.0556 342.0 684 0.0402
1.0556 343.0 686 0.0397
1.0556 344.0 688 0.0420
1.0556 345.0 690 0.0407
1.0556 346.0 692 0.0392
1.0556 347.0 694 0.0389
1.0556 348.0 696 0.0391
1.0556 349.0 698 0.0390
1.0556 350.0 700 0.0388
1.0556 351.0 702 0.0383
1.0556 352.0 704 0.0380
1.0556 353.0 706 0.0373
1.0556 354.0 708 0.0371
1.0556 355.0 710 0.0373
1.0556 356.0 712 0.0373
1.0556 357.0 714 0.0371
1.0556 358.0 716 0.0364
1.0556 359.0 718 0.0356
1.0556 360.0 720 0.0354
1.0556 361.0 722 0.0353
1.0556 362.0 724 0.0353
1.0556 363.0 726 0.0358
1.0556 364.0 728 0.0345
1.0556 365.0 730 0.0344
1.0556 366.0 732 0.0346
1.0556 367.0 734 0.0341
1.0556 368.0 736 0.0337
1.0556 369.0 738 0.0334
1.0556 370.0 740 0.0332
1.0556 371.0 742 0.0332
1.0556 372.0 744 0.0343
1.0556 373.0 746 0.0327
1.0556 374.0 748 0.0324
1.0556 375.0 750 0.0327
1.0556 376.0 752 0.0324
1.0556 377.0 754 0.0325
1.0556 378.0 756 0.0337
1.0556 379.0 758 0.0329
1.0556 380.0 760 0.0317
1.0556 381.0 762 0.0315
1.0556 382.0 764 0.0316
1.0556 383.0 766 0.0309
1.0556 384.0 768 0.0315
1.0556 385.0 770 0.0338
1.0556 386.0 772 0.0307
1.0556 387.0 774 0.0301
1.0556 388.0 776 0.0301
1.0556 389.0 778 0.0301
1.0556 390.0 780 0.0298
1.0556 391.0 782 0.0296
1.0556 392.0 784 0.0295
1.0556 393.0 786 0.0292
1.0556 394.0 788 0.0289
1.0556 395.0 790 0.0289
1.0556 396.0 792 0.0288
1.0556 397.0 794 0.0286
1.0556 398.0 796 0.0286
1.0556 399.0 798 0.0285
1.0556 400.0 800 0.0285
1.0556 401.0 802 0.0285
1.0556 402.0 804 0.0284
1.0556 403.0 806 0.0281
1.0556 404.0 808 0.0282
1.0556 405.0 810 0.0293
1.0556 406.0 812 0.0285
1.0556 407.0 814 0.0273
1.0556 408.0 816 0.0270
1.0556 409.0 818 0.0271
1.0556 410.0 820 0.0271
1.0556 411.0 822 0.0270
1.0556 412.0 824 0.0266
1.0556 413.0 826 0.0263
1.0556 414.0 828 0.0261
1.0556 415.0 830 0.0260
1.0556 416.0 832 0.0260
1.0556 417.0 834 0.0259
1.0556 418.0 836 0.0259
1.0556 419.0 838 0.0258
1.0556 420.0 840 0.0257
1.0556 421.0 842 0.0258
1.0556 422.0 844 0.0258
1.0556 423.0 846 0.0255
1.0556 424.0 848 0.0252
1.0556 425.0 850 0.0248
1.0556 426.0 852 0.0246
1.0556 427.0 854 0.0246
1.0556 428.0 856 0.0248
1.0556 429.0 858 0.0248
1.0556 430.0 860 0.0247
1.0556 431.0 862 0.0241
1.0556 432.0 864 0.0239
1.0556 433.0 866 0.0239
1.0556 434.0 868 0.0239
1.0556 435.0 870 0.0240
1.0556 436.0 872 0.0238
1.0556 437.0 874 0.0235
1.0556 438.0 876 0.0236
1.0556 439.0 878 0.0250
1.0556 440.0 880 0.0235
1.0556 441.0 882 0.0232
1.0556 442.0 884 0.0232
1.0556 443.0 886 0.0232
1.0556 444.0 888 0.0230
1.0556 445.0 890 0.0228
1.0556 446.0 892 0.0228
1.0556 447.0 894 0.0229
1.0556 448.0 896 0.0226
1.0556 449.0 898 0.0223
1.0556 450.0 900 0.0223
1.0556 451.0 902 0.0222
1.0556 452.0 904 0.0221
1.0556 453.0 906 0.0220
1.0556 454.0 908 0.0219
1.0556 455.0 910 0.0219
1.0556 456.0 912 0.0223
1.0556 457.0 914 0.0219
1.0556 458.0 916 0.0217
1.0556 459.0 918 0.0214
1.0556 460.0 920 0.0213
1.0556 461.0 922 0.0215
1.0556 462.0 924 0.0215
1.0556 463.0 926 0.0214
1.0556 464.0 928 0.0213
1.0556 465.0 930 0.0211
1.0556 466.0 932 0.0210
1.0556 467.0 934 0.0209
1.0556 468.0 936 0.0207
1.0556 469.0 938 0.0205
1.0556 470.0 940 0.0207
1.0556 471.0 942 0.0207
1.0556 472.0 944 0.0204
1.0556 473.0 946 0.0203
1.0556 474.0 948 0.0202
1.0556 475.0 950 0.0201
1.0556 476.0 952 0.0204
1.0556 477.0 954 0.0201
1.0556 478.0 956 0.0201
1.0556 479.0 958 0.0199
1.0556 480.0 960 0.0197
1.0556 481.0 962 0.0196
1.0556 482.0 964 0.0196
1.0556 483.0 966 0.0197
1.0556 484.0 968 0.0197
1.0556 485.0 970 0.0194
1.0556 486.0 972 0.0194
1.0556 487.0 974 0.0193
1.0556 488.0 976 0.0191
1.0556 489.0 978 0.0190
1.0556 490.0 980 0.0190
1.0556 491.0 982 0.0190
1.0556 492.0 984 0.0189
1.0556 493.0 986 0.0188
1.0556 494.0 988 0.0186
1.0556 495.0 990 0.0186
1.0556 496.0 992 0.0186
1.0556 497.0 994 0.0185
1.0556 498.0 996 0.0184
1.0556 499.0 998 0.0183
0.064 500.0 1000 0.0183
0.064 501.0 1002 0.0183
0.064 502.0 1004 0.0182
0.064 503.0 1006 0.0182
0.064 504.0 1008 0.0183
0.064 505.0 1010 0.0183
0.064 506.0 1012 0.0183
0.064 507.0 1014 0.0181
0.064 508.0 1016 0.0179
0.064 509.0 1018 0.0178
0.064 510.0 1020 0.0178
0.064 511.0 1022 0.0177
0.064 512.0 1024 0.0177
0.064 513.0 1026 0.0175
0.064 514.0 1028 0.0174
0.064 515.0 1030 0.0174
0.064 516.0 1032 0.0175
0.064 517.0 1034 0.0175
0.064 518.0 1036 0.0174
0.064 519.0 1038 0.0173
0.064 520.0 1040 0.0173
0.064 521.0 1042 0.0172
0.064 522.0 1044 0.0172
0.064 523.0 1046 0.0171
0.064 524.0 1048 0.0170
0.064 525.0 1050 0.0169
0.064 526.0 1052 0.0168
0.064 527.0 1054 0.0168
0.064 528.0 1056 0.0168
0.064 529.0 1058 0.0167
0.064 530.0 1060 0.0167
0.064 531.0 1062 0.0167
0.064 532.0 1064 0.0168
0.064 533.0 1066 0.0165
0.064 534.0 1068 0.0164
0.064 535.0 1070 0.0163
0.064 536.0 1072 0.0163
0.064 537.0 1074 0.0164
0.064 538.0 1076 0.0164
0.064 539.0 1078 0.0163
0.064 540.0 1080 0.0162
0.064 541.0 1082 0.0161
0.064 542.0 1084 0.0160
0.064 543.0 1086 0.0160
0.064 544.0 1088 0.0160
0.064 545.0 1090 0.0162
0.064 546.0 1092 0.0160
0.064 547.0 1094 0.0159
0.064 548.0 1096 0.0158
0.064 549.0 1098 0.0157
0.064 550.0 1100 0.0156
0.064 551.0 1102 0.0156
0.064 552.0 1104 0.0156
0.064 553.0 1106 0.0155
0.064 554.0 1108 0.0155
0.064 555.0 1110 0.0156
0.064 556.0 1112 0.0156
0.064 557.0 1114 0.0154
0.064 558.0 1116 0.0153
0.064 559.0 1118 0.0152
0.064 560.0 1120 0.0152
0.064 561.0 1122 0.0153
0.064 562.0 1124 0.0151
0.064 563.0 1126 0.0150
0.064 564.0 1128 0.0150
0.064 565.0 1130 0.0150
0.064 566.0 1132 0.0149
0.064 567.0 1134 0.0149
0.064 568.0 1136 0.0148
0.064 569.0 1138 0.0149
0.064 570.0 1140 0.0147
0.064 571.0 1142 0.0147
0.064 572.0 1144 0.0146
0.064 573.0 1146 0.0146
0.064 574.0 1148 0.0146
0.064 575.0 1150 0.0146
0.064 576.0 1152 0.0146
0.064 577.0 1154 0.0146
0.064 578.0 1156 0.0146
0.064 579.0 1158 0.0146
0.064 580.0 1160 0.0145
0.064 581.0 1162 0.0144
0.064 582.0 1164 0.0144
0.064 583.0 1166 0.0145
0.064 584.0 1168 0.0144
0.064 585.0 1170 0.0144
0.064 586.0 1172 0.0143
0.064 587.0 1174 0.0144
0.064 588.0 1176 0.0143
0.064 589.0 1178 0.0141
0.064 590.0 1180 0.0142
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Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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