train.log

Train epoch: 0 Learning rate: 4e-05
Training loss: 0.112203
Instr dry sdr: 9.1842 (Std: 5.0694)
Instr dry l1_freq: 43.0502 (Std: 16.4433)
Instr dry si_sdr: 6.6879 (Std: 9.3848)
Instr other sdr: 2.7113 (Std: 2.9820)
Instr other l1_freq: 42.2600 (Std: 13.8038)
Instr other si_sdr: 0.9734 (Std: 2.9438)
Metric avg sdr        : 5.9478
Metric avg l1_freq    : 42.6551
Metric avg si_sdr     : 3.8307
Train epoch: 1 Learning rate: 4e-05
Training loss: 0.108346
Instr dry sdr: 9.8077 (Std: 5.0427)
Instr dry l1_freq: 45.2016 (Std: 16.0011)
Instr dry si_sdr: 7.8796 (Std: 8.4374)
Instr other sdr: 3.2853 (Std: 3.0210)
Instr other l1_freq: 44.2322 (Std: 13.4866)
Instr other si_sdr: 1.6467 (Std: 3.0609)
Metric avg sdr        : 6.5465
Metric avg l1_freq    : 44.7169
Metric avg si_sdr     : 4.7632
Train epoch: 2 Learning rate: 4e-05
Training loss: 0.111557
Instr dry sdr: 8.6600 (Std: 5.2673)
Instr dry l1_freq: 40.4967 (Std: 16.3782)
Instr dry si_sdr: 5.1406 (Std: 11.2339)
Instr other sdr: 2.2686 (Std: 3.3155)
Instr other l1_freq: 40.7998 (Std: 14.0537)
Instr other si_sdr: 0.5386 (Std: 3.2345)
Metric avg sdr        : 5.4643
Metric avg l1_freq    : 40.6482
Metric avg si_sdr     : 2.8396
Train epoch: 3 Learning rate: 4e-05
Training loss: 0.104671
Instr dry sdr: 10.5112 (Std: 4.7450)
Instr dry l1_freq: 47.0243 (Std: 15.3385)
Instr dry si_sdr: 9.2583 (Std: 7.0059)
Instr other sdr: 3.9533 (Std: 2.9623)
Instr other l1_freq: 45.7660 (Std: 13.4354)
Instr other si_sdr: 2.4055 (Std: 3.0344)
Metric avg sdr        : 7.2322
Metric avg l1_freq    : 46.3951
Metric avg si_sdr     : 5.8319
Train epoch: 4 Learning rate: 4e-05
Training loss: 0.108527
Instr dry sdr: 10.6624 (Std: 4.7885)
Instr dry l1_freq: 47.5591 (Std: 15.3929)
Instr dry si_sdr: 9.3465 (Std: 7.2948)
Instr other sdr: 4.1154 (Std: 3.0104)
Instr other l1_freq: 45.9004 (Std: 13.4133)
Instr other si_sdr: 2.6202 (Std: 3.0885)
Metric avg sdr        : 7.3889
Metric avg l1_freq    : 46.7298
Metric avg si_sdr     : 5.9833
Train epoch: 5 Learning rate: 4e-05
Training loss: 0.107057
Instr dry sdr: 11.0292 (Std: 4.6336)
Instr dry l1_freq: 48.4740 (Std: 15.0574)
Instr dry si_sdr: 9.9518 (Std: 6.6424)
Instr other sdr: 4.4880 (Std: 2.9169)
Instr other l1_freq: 46.8940 (Std: 13.1882)
Instr other si_sdr: 3.0556 (Std: 3.0106)
Metric avg sdr        : 7.7586
Metric avg l1_freq    : 47.6840
Metric avg si_sdr     : 6.5037
Train epoch: 6 Learning rate: 4e-05
Training loss: 0.102628
Instr dry sdr: 10.4956 (Std: 5.0565)
Instr dry l1_freq: 47.0258 (Std: 15.6716)
Instr dry si_sdr: 8.7730 (Std: 8.3461)
Instr other sdr: 4.0236 (Std: 3.1916)
Instr other l1_freq: 45.9433 (Std: 13.4968)
Instr other si_sdr: 2.6168 (Std: 3.2038)
Metric avg sdr        : 7.2596
Metric avg l1_freq    : 46.4846
Metric avg si_sdr     : 5.6949
Train epoch: 7 Learning rate: 4e-05
Training loss: 0.102433
Instr dry sdr: 10.4234 (Std: 5.2507)
Instr dry l1_freq: 46.5551 (Std: 16.1208)
Instr dry si_sdr: 8.2495 (Std: 9.4586)
Instr other sdr: 3.9662 (Std: 3.3640)
Instr other l1_freq: 45.5177 (Std: 13.8393)
Instr other si_sdr: 2.6240 (Std: 3.3432)
Metric avg sdr        : 7.1948
Metric avg l1_freq    : 46.0364
Metric avg si_sdr     : 5.4368
Train epoch: 8 Learning rate: 4e-05
Training loss: 0.102206
Instr dry sdr: 11.2823 (Std: 4.6485)
Instr dry l1_freq: 49.1632 (Std: 14.9530)
Instr dry si_sdr: 10.2208 (Std: 6.6984)
Instr other sdr: 4.7831 (Std: 2.9732)
Instr other l1_freq: 47.7291 (Std: 13.1676)
Instr other si_sdr: 3.4409 (Std: 3.0674)
Metric avg sdr        : 8.0327
Metric avg l1_freq    : 48.4461
Metric avg si_sdr     : 6.8308
Train epoch: 9 Learning rate: 4e-05
Training loss: 0.102105
Instr dry sdr: 9.8860 (Std: 5.7882)
Instr dry l1_freq: 44.9209 (Std: 17.4682)
Instr dry si_sdr: 6.8763 (Std: 10.9794)
Instr other sdr: 3.4941 (Std: 3.7512)
Instr other l1_freq: 44.9048 (Std: 14.8870)
Instr other si_sdr: 2.3025 (Std: 3.5580)
Metric avg sdr        : 6.6900
Metric avg l1_freq    : 44.9128
Metric avg si_sdr     : 4.5894
Train epoch: 10 Learning rate: 4e-05
Training loss: 0.105466
Instr dry sdr: 10.6825 (Std: 5.4309)
Instr dry l1_freq: 47.1887 (Std: 16.3474)
Instr dry si_sdr: 8.5463 (Std: 9.5558)
Instr other sdr: 4.2599 (Std: 3.5437)
Instr other l1_freq: 46.4425 (Std: 13.9931)
Instr other si_sdr: 3.0562 (Std: 3.5099)
Metric avg sdr        : 7.4712
Metric avg l1_freq    : 46.8156
Metric avg si_sdr     : 5.8013
Train epoch: 11 Learning rate: 4e-05
Training loss: 0.102414
Instr dry sdr: 9.6486 (Std: 5.9472)
Instr dry l1_freq: 44.1544 (Std: 18.0469)
Instr dry si_sdr: 6.1325 (Std: 11.8517)
Instr other sdr: 3.3058 (Std: 3.8984)
Instr other l1_freq: 43.9748 (Std: 15.1864)
Instr other si_sdr: 2.1583 (Std: 3.6656)
Metric avg sdr        : 6.4772
Metric avg l1_freq    : 44.0646
Metric avg si_sdr     : 4.1454
Train epoch: 12 Learning rate: 3.8e-05
Training loss: 0.102746
Instr dry sdr: 11.2203 (Std: 4.7064)
Instr dry l1_freq: 49.1167 (Std: 15.4703)
Instr dry si_sdr: 9.9747 (Std: 7.3762)
Instr other sdr: 4.8413 (Std: 3.0495)
Instr other l1_freq: 47.1270 (Std: 13.4432)
Instr other si_sdr: 3.5202 (Std: 3.1601)
Metric avg sdr        : 8.0308
Metric avg l1_freq    : 48.1219
Metric avg si_sdr     : 6.7475
Train epoch: 13 Learning rate: 3.8e-05
Training loss: 0.098055
Instr dry sdr: 11.4479 (Std: 4.6584)
Instr dry l1_freq: 49.8237 (Std: 15.2150)
Instr dry si_sdr: 10.2828 (Std: 7.2318)
Instr other sdr: 5.0567 (Std: 3.0666)
Instr other l1_freq: 47.9391 (Std: 13.2528)
Instr other si_sdr: 3.8100 (Std: 3.1556)
Metric avg sdr        : 8.2523
Metric avg l1_freq    : 48.8814
Metric avg si_sdr     : 7.0464
Train epoch: 14 Learning rate: 3.8e-05
Training loss: 0.098851
Instr dry sdr: 11.2437 (Std: 4.4635)
Instr dry l1_freq: 48.9190 (Std: 14.9174)
Instr dry si_sdr: 10.0969 (Std: 7.1745)
Instr other sdr: 4.8748 (Std: 2.9083)
Instr other l1_freq: 47.2522 (Std: 13.2537)
Instr other si_sdr: 3.4444 (Std: 3.1525)
Metric avg sdr        : 8.0592
Metric avg l1_freq    : 48.0856
Metric avg si_sdr     : 6.7706
Train epoch: 15 Learning rate: 3.8e-05
Training loss: 0.100223
Instr dry sdr: 11.8901 (Std: 3.8317)
Instr dry l1_freq: 51.2161 (Std: 12.9691)
Instr dry si_sdr: 11.2922 (Std: 5.1277)
Instr other sdr: 5.5019 (Std: 2.2995)
Instr other l1_freq: 48.7933 (Std: 11.9829)
Instr other si_sdr: 4.1441 (Std: 2.6947)
Metric avg sdr        : 8.6960
Metric avg l1_freq    : 50.0047
Metric avg si_sdr     : 7.7181
Train epoch: 16 Learning rate: 3.8e-05
Training loss: 0.104321
Instr dry sdr: 11.9911 (Std: 3.9050)
Instr dry l1_freq: 51.5090 (Std: 13.0993)
Instr dry si_sdr: 11.3194 (Std: 5.4409)
Instr other sdr: 5.5892 (Std: 2.4072)
Instr other l1_freq: 49.2916 (Std: 11.9865)
Instr other si_sdr: 4.2758 (Std: 2.7573)
Metric avg sdr        : 8.7901
Metric avg l1_freq    : 50.4003
Metric avg si_sdr     : 7.7976
Train epoch: 17 Learning rate: 3.8e-05
Training loss: 0.101089
Instr dry sdr: 11.3998 (Std: 4.4243)
Instr dry l1_freq: 49.5020 (Std: 14.6672)
Instr dry si_sdr: 10.2264 (Std: 7.2563)
Instr other sdr: 5.0164 (Std: 2.9508)
Instr other l1_freq: 47.8112 (Std: 13.1082)
Instr other si_sdr: 3.6554 (Std: 3.1220)
Metric avg sdr        : 8.2081
Metric avg l1_freq    : 48.6566
Metric avg si_sdr     : 6.9409
Train epoch: 18 Learning rate: 3.8e-05
Training loss: 0.104896
Instr dry sdr: 11.8436 (Std: 4.2132)
Instr dry l1_freq: 50.8741 (Std: 13.9037)
Instr dry si_sdr: 10.9560 (Std: 6.3993)
Instr other sdr: 5.4496 (Std: 2.7765)
Instr other l1_freq: 49.0518 (Std: 12.5874)
Instr other si_sdr: 4.1728 (Std: 2.9902)
Metric avg sdr        : 8.6466
Metric avg l1_freq    : 49.9630
Metric avg si_sdr     : 7.5644
Train epoch: 19 Learning rate: 3.8e-05
Training loss: 0.102872
Instr dry sdr: 11.6119 (Std: 4.4405)
Instr dry l1_freq: 50.0832 (Std: 14.4807)
Instr dry si_sdr: 10.3961 (Std: 7.4146)
Instr other sdr: 5.2438 (Std: 2.9718)
Instr other l1_freq: 48.5173 (Std: 12.9634)
Instr other si_sdr: 3.9460 (Std: 3.1250)
Metric avg sdr        : 8.4278
Metric avg l1_freq    : 49.3003
Metric avg si_sdr     : 7.1711
Train epoch: 20 Learning rate: 3.61e-05
Training loss: 0.103917
Instr dry sdr: 11.8600 (Std: 4.3186)
Instr dry l1_freq: 50.7067 (Std: 14.1043)
Instr dry si_sdr: 10.8580 (Std: 6.8196)
Instr other sdr: 5.4763 (Std: 2.8551)
Instr other l1_freq: 49.0513 (Std: 12.7018)
Instr other si_sdr: 4.2312 (Std: 3.0315)
Metric avg sdr        : 8.6681
Metric avg l1_freq    : 49.8790
Metric avg si_sdr     : 7.5446
Train epoch: 21 Learning rate: 3.61e-05
Training loss: 0.099953
Instr dry sdr: 11.6488 (Std: 4.4892)
Instr dry l1_freq: 50.1608 (Std: 14.5906)
Instr dry si_sdr: 10.4241 (Std: 7.4959)
Instr other sdr: 5.2680 (Std: 2.9869)
Instr other l1_freq: 48.7911 (Std: 12.9553)
Instr other si_sdr: 3.9999 (Std: 3.1246)
Metric avg sdr        : 8.4584
Metric avg l1_freq    : 49.4760
Metric avg si_sdr     : 7.2120
Train epoch: 22 Learning rate: 3.61e-05
Training loss: 0.106623
Instr dry sdr: 11.4431 (Std: 4.5723)
Instr dry l1_freq: 49.5066 (Std: 14.8685)
Instr dry si_sdr: 10.0020 (Std: 8.1887)
Instr other sdr: 5.0968 (Std: 3.0595)
Instr other l1_freq: 48.0954 (Std: 13.1793)
Instr other si_sdr: 3.8148 (Std: 3.1874)
Metric avg sdr        : 8.2699
Metric avg l1_freq    : 48.8010
Metric avg si_sdr     : 6.9084
Train epoch: 23 Learning rate: 3.4295e-05
Training loss: 0.102432
Instr dry sdr: 11.7803 (Std: 4.5411)
Instr dry l1_freq: 50.1692 (Std: 14.6833)
Instr dry si_sdr: 10.4433 (Std: 7.9273)
Instr other sdr: 5.4089 (Std: 3.0554)
Instr other l1_freq: 48.6791 (Std: 13.1322)
Instr other si_sdr: 4.2015 (Std: 3.1739)
Metric avg sdr        : 8.5946
Metric avg l1_freq    : 49.4242
Metric avg si_sdr     : 7.3224
Train epoch: 24 Learning rate: 3.4295e-05
Training loss: 0.099989
Instr dry sdr: 11.8416 (Std: 4.5566)
Instr dry l1_freq: 50.3986 (Std: 14.6825)
Instr dry si_sdr: 10.4740 (Std: 8.0559)
Instr other sdr: 5.4663 (Std: 3.0807)
Instr other l1_freq: 49.1233 (Std: 13.1509)
Instr other si_sdr: 4.2740 (Std: 3.1957)
Metric avg sdr        : 8.6540
Metric avg l1_freq    : 49.7609
Metric avg si_sdr     : 7.3740
Train epoch: 25 Learning rate: 3.4295e-05
Training loss: 0.098635
Instr dry sdr: 11.9577 (Std: 4.5334)
Instr dry l1_freq: 51.0521 (Std: 14.5271)
Instr dry si_sdr: 10.8045 (Std: 7.3315)
Instr other sdr: 5.5823 (Std: 3.0608)
Instr other l1_freq: 49.4446 (Std: 12.9467)
Instr other si_sdr: 4.4169 (Std: 3.1841)
Metric avg sdr        : 8.7700
Metric avg l1_freq    : 50.2483
Metric avg si_sdr     : 7.6107
Train epoch: 26 Learning rate: 3.258025e-05
Training loss: 0.099137
Instr dry sdr: 11.9302 (Std: 4.6017)
Instr dry l1_freq: 50.8494 (Std: 14.8073)
Instr dry si_sdr: 10.5274 (Std: 8.1764)
Instr other sdr: 5.5601 (Std: 3.1095)
Instr other l1_freq: 49.3405 (Std: 13.1348)
Instr other si_sdr: 4.4060 (Std: 3.2139)
Metric avg sdr        : 8.7451
Metric avg l1_freq    : 50.0949
Metric avg si_sdr     : 7.4667
Train epoch: 27 Learning rate: 3.258025e-05
Training loss: 0.097129
Instr dry sdr: 11.8247 (Std: 4.5460)
Instr dry l1_freq: 50.5849 (Std: 14.6852)
Instr dry si_sdr: 10.4771 (Std: 7.9980)
Instr other sdr: 5.4648 (Std: 3.0762)
Instr other l1_freq: 48.8602 (Std: 13.0388)
Instr other si_sdr: 4.2713 (Std: 3.1981)
Metric avg sdr        : 8.6448
Metric avg l1_freq    : 49.7225
Metric avg si_sdr     : 7.3742
Train epoch: 28 Learning rate: 3.258025e-05
Training loss: 0.099773
Instr dry sdr: 11.9798 (Std: 4.5750)
Instr dry l1_freq: 51.0790 (Std: 14.6501)
Instr dry si_sdr: 10.6954 (Std: 7.7941)
Instr other sdr: 5.6008 (Std: 3.0957)
Instr other l1_freq: 49.4151 (Std: 13.0527)
Instr other si_sdr: 4.4569 (Std: 3.1976)
Metric avg sdr        : 8.7903
Metric avg l1_freq    : 50.2470
Metric avg si_sdr     : 7.5762
Train epoch: 29 Learning rate: 3.09512375e-05
Training loss: 0.099705
Instr dry sdr: 11.9371 (Std: 4.6418)
Instr dry l1_freq: 51.0463 (Std: 14.8174)
Instr dry si_sdr: 10.5877 (Std: 7.9657)
Instr other sdr: 5.5785 (Std: 3.1468)
Instr other l1_freq: 49.4233 (Std: 13.1175)
Instr other si_sdr: 4.4452 (Std: 3.2448)
Metric avg sdr        : 8.7578
Metric avg l1_freq    : 50.2348
Metric avg si_sdr     : 7.5165
Train epoch: 30 Learning rate: 3.09512375e-05
Training loss: 0.101415
Instr dry sdr: 12.1884 (Std: 4.4321)
Instr dry l1_freq: 51.4162 (Std: 14.2252)
Instr dry si_sdr: 11.1747 (Std: 6.8448)
Instr other sdr: 5.8140 (Std: 3.0305)
Instr other l1_freq: 50.1628 (Std: 12.9061)
Instr other si_sdr: 4.6854 (Std: 3.1503)
Metric avg sdr        : 9.0012
Metric avg l1_freq    : 50.7895
Metric avg si_sdr     : 7.9300
Train epoch: 31 Learning rate: 3.09512375e-05
Training loss: 0.102380
Instr dry sdr: 12.2048 (Std: 4.4409)
Instr dry l1_freq: 51.5894 (Std: 14.3102)
Instr dry si_sdr: 11.1695 (Std: 7.0154)
Instr other sdr: 5.8346 (Std: 3.0329)
Instr other l1_freq: 50.0733 (Std: 12.9218)
Instr other si_sdr: 4.7251 (Std: 3.1519)
Metric avg sdr        : 9.0197
Metric avg l1_freq    : 50.8314
Metric avg si_sdr     : 7.9473
Train epoch: 32 Learning rate: 3.09512375e-05
Training loss: 0.101785
Instr dry sdr: 12.1684 (Std: 4.5522)
Instr dry l1_freq: 51.4581 (Std: 14.5296)
Instr dry si_sdr: 11.0002 (Std: 7.4294)
Instr other sdr: 5.8010 (Std: 3.0979)
Instr other l1_freq: 49.9899 (Std: 13.0052)
Instr other si_sdr: 4.7016 (Std: 3.2061)
Metric avg sdr        : 8.9847
Metric avg l1_freq    : 50.7240
Metric avg si_sdr     : 7.8509
Train epoch: 33 Learning rate: 3.09512375e-05
Training loss: 0.100284
Instr dry sdr: 11.9117 (Std: 4.7139)
Instr dry l1_freq: 50.5437 (Std: 14.9248)
Instr dry si_sdr: 10.4955 (Std: 8.2177)
Instr other sdr: 5.5665 (Std: 3.1587)
Instr other l1_freq: 49.5938 (Std: 13.3054)
Instr other si_sdr: 4.4402 (Std: 3.2527)
Metric avg sdr        : 8.7391
Metric avg l1_freq    : 50.0688
Metric avg si_sdr     : 7.4679
Train epoch: 34 Learning rate: 3.09512375e-05
Training loss: 0.098834
Instr dry sdr: 11.8616 (Std: 4.6685)
Instr dry l1_freq: 50.6035 (Std: 14.8479)
Instr dry si_sdr: 10.4479 (Std: 8.1880)
Instr other sdr: 5.5394 (Std: 3.1456)
Instr other l1_freq: 49.5593 (Std: 13.2399)
Instr other si_sdr: 4.3980 (Std: 3.2515)
Metric avg sdr        : 8.7005
Metric avg l1_freq    : 50.0814
Metric avg si_sdr     : 7.4229
Train epoch: 35 Learning rate: 2.9403675625e-05
Training loss: 0.103044
Instr dry sdr: 12.0009 (Std: 4.6071)
Instr dry l1_freq: 51.2387 (Std: 14.6381)
Instr dry si_sdr: 10.7337 (Std: 7.7206)
Instr other sdr: 5.6760 (Std: 3.1386)
Instr other l1_freq: 49.7333 (Std: 13.0192)
Instr other si_sdr: 4.5561 (Std: 3.2552)
Metric avg sdr        : 8.8384
Metric avg l1_freq    : 50.4860
Metric avg si_sdr     : 7.6449
Train epoch: 36 Learning rate: 2.9403675625e-05
Training loss: 0.095640
Instr dry sdr: 12.1978 (Std: 4.6388)
Instr dry l1_freq: 51.5424 (Std: 14.6671)
Instr dry si_sdr: 10.9504 (Std: 7.7064)
Instr other sdr: 5.8538 (Std: 3.1690)
Instr other l1_freq: 50.2770 (Std: 13.1821)
Instr other si_sdr: 4.7852 (Std: 3.2577)
Metric avg sdr        : 9.0258
Metric avg l1_freq    : 50.9097
Metric avg si_sdr     : 7.8678
Train epoch: 37 Learning rate: 2.9403675625e-05
Training loss: 0.097300
Instr dry sdr: 12.1350 (Std: 4.7538)
Instr dry l1_freq: 51.1537 (Std: 14.8995)
Instr dry si_sdr: 10.6954 (Std: 8.3349)
Instr other sdr: 5.7904 (Std: 3.2381)
Instr other l1_freq: 50.0719 (Std: 13.2881)
Instr other si_sdr: 4.7196 (Std: 3.3284)
Metric avg sdr        : 8.9627
Metric avg l1_freq    : 50.6128
Metric avg si_sdr     : 7.7075
Train epoch: 38 Learning rate: 2.9403675625e-05
Training loss: 0.097327
Instr dry sdr: 12.0688 (Std: 4.8227)
Instr dry l1_freq: 50.9813 (Std: 15.0747)
Instr dry si_sdr: 10.5224 (Std: 8.6736)
Instr other sdr: 5.7242 (Std: 3.2753)
Instr other l1_freq: 50.0266 (Std: 13.4201)
Instr other si_sdr: 4.6608 (Std: 3.3507)
Metric avg sdr        : 8.8965
Metric avg l1_freq    : 50.5040
Metric avg si_sdr     : 7.5916
Train epoch: 39 Learning rate: 2.9403675625e-05
Training loss: 0.100668
Instr dry sdr: 11.8969 (Std: 4.8789)
Instr dry l1_freq: 50.1775 (Std: 15.0496)
Instr dry si_sdr: 10.4221 (Std: 8.4724)
Instr other sdr: 5.5662 (Std: 3.2807)
Instr other l1_freq: 49.3151 (Std: 13.3768)
Instr other si_sdr: 4.4702 (Std: 3.3781)
Metric avg sdr        : 8.7316
Metric avg l1_freq    : 49.7463
Metric avg si_sdr     : 7.4462
Train epoch: 40 Learning rate: 2.7933491843749998e-05
Training loss: 0.096047
Instr dry sdr: 11.7411 (Std: 5.1290)
Instr dry l1_freq: 49.9637 (Std: 15.4402)
Instr dry si_sdr: 10.1175 (Std: 8.8404)
Instr other sdr: 5.4359 (Std: 3.4525)
Instr other l1_freq: 49.2590 (Std: 13.6127)
Instr other si_sdr: 4.3865 (Std: 3.5094)
Metric avg sdr        : 8.5885
Metric avg l1_freq    : 49.6114
Metric avg si_sdr     : 7.2520
Train epoch: 41 Learning rate: 2.7933491843749998e-05
Training loss: 0.095904
Instr dry sdr: 12.2122 (Std: 4.6289)
Instr dry l1_freq: 51.6605 (Std: 14.6610)
Instr dry si_sdr: 11.2688 (Std: 6.6841)
Instr other sdr: 5.8853 (Std: 3.1060)
Instr other l1_freq: 50.0406 (Std: 13.1129)
Instr other si_sdr: 4.8181 (Std: 3.2378)
Metric avg sdr        : 9.0487
Metric avg l1_freq    : 50.8506
Metric avg si_sdr     : 8.0434
Train epoch: 42 Learning rate: 2.7933491843749998e-05
Training loss: 0.100599
Instr dry sdr: 12.1917 (Std: 4.6540)
Instr dry l1_freq: 51.6310 (Std: 14.7739)
Instr dry si_sdr: 11.0723 (Std: 7.3049)
Instr other sdr: 5.8670 (Std: 3.1752)
Instr other l1_freq: 50.0911 (Std: 13.2149)
Instr other si_sdr: 4.8079 (Std: 3.2820)
Metric avg sdr        : 9.0293
Metric avg l1_freq    : 50.8610
Metric avg si_sdr     : 7.9401
Train epoch: 43 Learning rate: 2.7933491843749998e-05
Training loss: 0.098432
Instr dry sdr: 12.2574 (Std: 4.6928)
Instr dry l1_freq: 51.7157 (Std: 14.8442)
Instr dry si_sdr: 11.0937 (Std: 7.4824)
Instr other sdr: 5.9243 (Std: 3.2065)
Instr other l1_freq: 50.3579 (Std: 13.3033)
Instr other si_sdr: 4.8882 (Std: 3.3074)
Metric avg sdr        : 9.0909
Metric avg l1_freq    : 51.0368
Metric avg si_sdr     : 7.9909
Train epoch: 44 Learning rate: 2.7933491843749998e-05
Training loss: 0.099358
Instr dry sdr: 12.1303 (Std: 4.8594)
Instr dry l1_freq: 51.3296 (Std: 15.1673)
Instr dry si_sdr: 10.7959 (Std: 8.0152)
Instr other sdr: 5.8136 (Std: 3.3279)
Instr other l1_freq: 50.1510 (Std: 13.4426)
Instr other si_sdr: 4.7747 (Std: 3.4179)
Metric avg sdr        : 8.9719
Metric avg l1_freq    : 50.7403
Metric avg si_sdr     : 7.7853
Train epoch: 45 Learning rate: 2.7933491843749998e-05
Training loss: 0.094929
Instr dry sdr: 12.0053 (Std: 4.9333)
Instr dry l1_freq: 51.0921 (Std: 15.2064)
Instr dry si_sdr: 10.6287 (Std: 8.1391)
Instr other sdr: 5.6823 (Std: 3.3632)
Instr other l1_freq: 49.9480 (Std: 13.4875)
Instr other si_sdr: 4.6250 (Std: 3.4695)
Metric avg sdr        : 8.8438
Metric avg l1_freq    : 50.5201
Metric avg si_sdr     : 7.6269
Train epoch: 46 Learning rate: 2.7933491843749998e-05
Training loss: 0.094544
Instr dry sdr: 12.2630 (Std: 4.7134)
Instr dry l1_freq: 51.8582 (Std: 14.7762)
Instr dry si_sdr: 11.2257 (Std: 7.0517)
Instr other sdr: 5.9420 (Std: 3.2099)
Instr other l1_freq: 50.4802 (Std: 13.1570)
Instr other si_sdr: 4.9045 (Std: 3.3225)
Metric avg sdr        : 9.1025
Metric avg l1_freq    : 51.1692
Metric avg si_sdr     : 8.0651
Train epoch: 47 Learning rate: 2.7933491843749998e-05
Training loss: 0.100300
Instr dry sdr: 12.5258 (Std: 4.2445)
Instr dry l1_freq: 52.7581 (Std: 13.7617)
Instr dry si_sdr: 11.9621 (Std: 5.3200)
Instr other sdr: 6.2022 (Std: 2.8190)
Instr other l1_freq: 50.9424 (Std: 12.3721)
Instr other si_sdr: 5.1532 (Std: 3.0129)
Metric avg sdr        : 9.3640
Metric avg l1_freq    : 51.8502
Metric avg si_sdr     : 8.5576
Train epoch: 48 Learning rate: 2.7933491843749998e-05
Training loss: 0.095596
Instr dry sdr: 12.4497 (Std: 4.4619)
Instr dry l1_freq: 52.3584 (Std: 14.2714)
Instr dry si_sdr: 11.6337 (Std: 6.2797)
Instr other sdr: 6.1288 (Std: 3.0325)
Instr other l1_freq: 50.8711 (Std: 12.8454)
Instr other si_sdr: 5.0948 (Std: 3.1700)
Metric avg sdr        : 9.2892
Metric avg l1_freq    : 51.6147
Metric avg si_sdr     : 8.3643
Train epoch: 49 Learning rate: 2.7933491843749998e-05
Training loss: 0.103359
Instr dry sdr: 12.4709 (Std: 4.3961)
Instr dry l1_freq: 51.9473 (Std: 14.2387)
Instr dry si_sdr: 11.8527 (Std: 5.5742)
Instr other sdr: 6.1567 (Std: 2.9016)
Instr other l1_freq: 50.5832 (Std: 12.7367)
Instr other si_sdr: 5.1042 (Std: 3.1088)
Metric avg sdr        : 9.3138
Metric avg l1_freq    : 51.2652
Metric avg si_sdr     : 8.4785
Train epoch: 50 Learning rate: 2.7933491843749998e-05
Training loss: 0.097140
Instr dry sdr: 12.5480 (Std: 4.4551)
Instr dry l1_freq: 52.4209 (Std: 14.3051)
Instr dry si_sdr: 11.8755 (Std: 5.8093)
Instr other sdr: 6.2244 (Std: 2.9714)
Instr other l1_freq: 50.8542 (Std: 12.8472)
Instr other si_sdr: 5.2055 (Std: 3.1398)
Metric avg sdr        : 9.3862
Metric avg l1_freq    : 51.6375
Metric avg si_sdr     : 8.5405
Train epoch: 51 Learning rate: 2.7933491843749998e-05
Training loss: 0.095402
Instr dry sdr: 12.4629 (Std: 4.4734)
Instr dry l1_freq: 52.3328 (Std: 14.3300)
Instr dry si_sdr: 11.7317 (Std: 6.0010)
Instr other sdr: 6.1470 (Std: 3.0206)
Instr other l1_freq: 50.7004 (Std: 12.8662)
Instr other si_sdr: 5.1226 (Std: 3.1724)
Metric avg sdr        : 9.3050
Metric avg l1_freq    : 51.5166
Metric avg si_sdr     : 8.4272
Train epoch: 52 Learning rate: 2.7933491843749998e-05
Training loss: 0.099080
Instr dry sdr: 12.6029 (Std: 4.4025)
Instr dry l1_freq: 52.7431 (Std: 14.1114)
Instr dry si_sdr: 12.0241 (Std: 5.4395)
Instr other sdr: 6.2833 (Std: 2.9341)
Instr other l1_freq: 51.1383 (Std: 12.6247)
Instr other si_sdr: 5.2792 (Std: 3.1178)
Metric avg sdr        : 9.4431
Metric avg l1_freq    : 51.9407
Metric avg si_sdr     : 8.6517
Train epoch: 53 Learning rate: 2.7933491843749998e-05
Training loss: 0.094254
Instr dry sdr: 12.5107 (Std: 4.6218)
Instr dry l1_freq: 52.4360 (Std: 14.5449)
Instr dry si_sdr: 11.7284 (Std: 6.2280)
Instr other sdr: 6.1962 (Std: 3.1480)
Instr other l1_freq: 50.9403 (Std: 13.0012)
Instr other si_sdr: 5.2072 (Std: 3.2774)
Metric avg sdr        : 9.3534
Metric avg l1_freq    : 51.6882
Metric avg si_sdr     : 8.4678
Train epoch: 54 Learning rate: 2.7933491843749998e-05
Training loss: 0.091159
Instr dry sdr: 12.0227 (Std: 4.9936)
Instr dry l1_freq: 51.1259 (Std: 15.4072)
Instr dry si_sdr: 10.5224 (Std: 8.5369)
Instr other sdr: 5.7271 (Std: 3.4290)
Instr other l1_freq: 49.7751 (Std: 13.6606)
Instr other si_sdr: 4.7132 (Std: 3.4658)
Metric avg sdr        : 8.8749
Metric avg l1_freq    : 50.4505
Metric avg si_sdr     : 7.6178
Train epoch: 55 Learning rate: 2.7933491843749998e-05
Training loss: 0.096296
Instr dry sdr: 12.2970 (Std: 4.8705)
Instr dry l1_freq: 51.8453 (Std: 15.0951)
Instr dry si_sdr: 11.0047 (Std: 7.9714)
Instr other sdr: 5.9926 (Std: 3.3691)
Instr other l1_freq: 50.5093 (Std: 13.4355)
Instr other si_sdr: 5.0113 (Std: 3.4300)
Metric avg sdr        : 9.1448
Metric avg l1_freq    : 51.1773
Metric avg si_sdr     : 8.0080
Train epoch: 56 Learning rate: 2.6536817251562497e-05
Training loss: 0.094687
Instr dry sdr: 12.2359 (Std: 5.0098)
Instr dry l1_freq: 51.4253 (Std: 15.2918)
Instr dry si_sdr: 10.7536 (Std: 8.5601)
Instr other sdr: 5.9342 (Std: 3.4720)
Instr other l1_freq: 50.4779 (Std: 13.6366)
Instr other si_sdr: 4.9585 (Std: 3.5136)
Metric avg sdr        : 9.0850
Metric avg l1_freq    : 50.9516
Metric avg si_sdr     : 7.8560
Train epoch: 57 Learning rate: 2.6536817251562497e-05
Training loss: 0.095657
Instr dry sdr: 12.2102 (Std: 4.9633)
Instr dry l1_freq: 51.4960 (Std: 15.2521)
Instr dry si_sdr: 10.7497 (Std: 8.4845)
Instr other sdr: 5.9077 (Std: 3.4567)
Instr other l1_freq: 50.2654 (Std: 13.5850)
Instr other si_sdr: 4.9244 (Std: 3.4981)
Metric avg sdr        : 9.0590
Metric avg l1_freq    : 50.8807
Metric avg si_sdr     : 7.8371
Train epoch: 58 Learning rate: 2.6536817251562497e-05
Training loss: 0.097515
Instr dry sdr: 12.4264 (Std: 4.8078)
Instr dry l1_freq: 52.1458 (Std: 14.9872)
Instr dry si_sdr: 11.3226 (Std: 7.4191)
Instr other sdr: 6.1070 (Std: 3.3150)
Instr other l1_freq: 50.8045 (Std: 13.3580)
Instr other si_sdr: 5.1458 (Std: 3.3906)
Metric avg sdr        : 9.2667
Metric avg l1_freq    : 51.4752
Metric avg si_sdr     : 8.2342
Train epoch: 59 Learning rate: 2.5209976388984372e-05
Training loss: 0.097498
Instr dry sdr: 12.3827 (Std: 4.9430)
Instr dry l1_freq: 51.7468 (Std: 15.2411)
Instr dry si_sdr: 10.9553 (Std: 8.4594)
Instr other sdr: 6.0841 (Std: 3.4534)
Instr other l1_freq: 50.8139 (Std: 13.6451)
Instr other si_sdr: 5.1394 (Std: 3.4837)
Metric avg sdr        : 9.2334
Metric avg l1_freq    : 51.2803
Metric avg si_sdr     : 8.0473
Train epoch: 60 Learning rate: 2.5209976388984372e-05
Training loss: 0.093099
Instr dry sdr: 12.2849 (Std: 4.9824)
Instr dry l1_freq: 51.6414 (Std: 15.1842)
Instr dry si_sdr: 10.8583 (Std: 8.4044)
Instr other sdr: 5.9955 (Std: 3.4715)
Instr other l1_freq: 50.6220 (Std: 13.5627)
Instr other si_sdr: 5.0373 (Std: 3.5125)
Metric avg sdr        : 9.1402
Metric avg l1_freq    : 51.1317
Metric avg si_sdr     : 7.9478
Train epoch: 61 Learning rate: 2.5209976388984372e-05
Training loss: 0.103669
Instr dry sdr: 12.0979 (Std: 5.1797)
Instr dry l1_freq: 50.9696 (Std: 15.3880)
Instr dry si_sdr: 10.4390 (Std: 9.0538)
Instr other sdr: 5.8103 (Std: 3.6200)
Instr other l1_freq: 50.1947 (Std: 13.6859)
Instr other si_sdr: 4.8524 (Std: 3.6527)
Metric avg sdr        : 8.9541
Metric avg l1_freq    : 50.5821
Metric avg si_sdr     : 7.6457
Train epoch: 62 Learning rate: 2.3949477569535154e-05
Training loss: 0.092208
Instr dry sdr: 12.2718 (Std: 5.0631)
Instr dry l1_freq: 51.3891 (Std: 15.3569)
Instr dry si_sdr: 10.7125 (Std: 8.8047)
Instr other sdr: 5.9777 (Std: 3.5298)
Instr other l1_freq: 50.5797 (Std: 13.7257)
Instr other si_sdr: 5.0241 (Std: 3.5631)
Metric avg sdr        : 9.1248
Metric avg l1_freq    : 50.9844
Metric avg si_sdr     : 7.8683
Train epoch: 63 Learning rate: 2.3949477569535154e-05
Training loss: 0.102014
Instr dry sdr: 11.9243 (Std: 5.3757)
Instr dry l1_freq: 50.3253 (Std: 15.8274)
Instr dry si_sdr: 10.0076 (Std: 9.6708)
Instr other sdr: 5.6612 (Std: 3.7498)
Instr other l1_freq: 49.9824 (Std: 13.9572)
Instr other si_sdr: 4.7142 (Std: 3.7771)
Metric avg sdr        : 8.7927
Metric avg l1_freq    : 50.1539
Metric avg si_sdr     : 7.3609
Train epoch: 64 Learning rate: 2.3949477569535154e-05
Training loss: 0.095988
Instr dry sdr: 12.2540 (Std: 5.0462)
Instr dry l1_freq: 51.4500 (Std: 15.3783)
Instr dry si_sdr: 10.7858 (Std: 8.5484)
Instr other sdr: 5.9716 (Std: 3.5017)
Instr other l1_freq: 50.5902 (Std: 13.7341)
Instr other si_sdr: 5.0183 (Std: 3.5460)
Metric avg sdr        : 9.1128
Metric avg l1_freq    : 51.0201
Metric avg si_sdr     : 7.9021
Train epoch: 65 Learning rate: 2.2752003691058396e-05
Training loss: 0.098379
Instr dry sdr: 12.3659 (Std: 5.0193)
Instr dry l1_freq: 51.6833 (Std: 15.3331)
Instr dry si_sdr: 10.9391 (Std: 8.4503)
Instr other sdr: 6.0788 (Std: 3.4828)
Instr other l1_freq: 50.8337 (Std: 13.6849)
Instr other si_sdr: 5.1414 (Std: 3.5247)
Metric avg sdr        : 9.2224
Metric avg l1_freq    : 51.2585
Metric avg si_sdr     : 8.0402
Train epoch: 66 Learning rate: 2.2752003691058396e-05
Training loss: 0.091182
Instr dry sdr: 12.5520 (Std: 4.7837)
Instr dry l1_freq: 52.3609 (Std: 14.9107)
Instr dry si_sdr: 11.5022 (Std: 7.2267)
Instr other sdr: 6.2720 (Std: 3.3150)
Instr other l1_freq: 51.2592 (Std: 13.3255)
Instr other si_sdr: 5.3416 (Std: 3.3879)
Metric avg sdr        : 9.4120
Metric avg l1_freq    : 51.8101
Metric avg si_sdr     : 8.4219
Train epoch: 67 Learning rate: 2.2752003691058396e-05
Training loss: 0.092582
Instr dry sdr: 12.6093 (Std: 4.8153)
Instr dry l1_freq: 52.3751 (Std: 15.0178)
Instr dry si_sdr: 11.5044 (Std: 7.4468)
Instr other sdr: 6.3197 (Std: 3.3409)
Instr other l1_freq: 51.4147 (Std: 13.4250)
Instr other si_sdr: 5.4056 (Std: 3.4002)
Metric avg sdr        : 9.4645
Metric avg l1_freq    : 51.8949
Metric avg si_sdr     : 8.4550
Train epoch: 68 Learning rate: 2.2752003691058396e-05
Training loss: 0.095525
Instr dry sdr: 12.6933 (Std: 4.6196)
Instr dry l1_freq: 52.7676 (Std: 14.5984)
Instr dry si_sdr: 11.9203 (Std: 6.2891)
Instr other sdr: 6.4140 (Std: 3.1507)
Instr other l1_freq: 51.5851 (Std: 12.9630)
Instr other si_sdr: 5.4850 (Std: 3.2781)
Metric avg sdr        : 9.5537
Metric avg l1_freq    : 52.1764
Metric avg si_sdr     : 8.7026
Train epoch: 69 Learning rate: 2.2752003691058396e-05
Training loss: 0.094700
Instr dry sdr: 12.6011 (Std: 4.7247)
Instr dry l1_freq: 52.4801 (Std: 14.7547)
Instr dry si_sdr: 11.6395 (Std: 6.9502)
Instr other sdr: 6.3259 (Std: 3.2496)
Instr other l1_freq: 51.3514 (Std: 13.1609)
Instr other si_sdr: 5.3912 (Std: 3.3501)
Metric avg sdr        : 9.4635
Metric avg l1_freq    : 51.9158
Metric avg si_sdr     : 8.5153
Train epoch: 70 Learning rate: 2.2752003691058396e-05
Training loss: 0.094604
Instr dry sdr: 12.7777 (Std: 4.4996)
Instr dry l1_freq: 52.9749 (Std: 14.2646)
Instr dry si_sdr: 12.0962 (Std: 5.9162)
Instr other sdr: 6.4962 (Std: 3.0231)
Instr other l1_freq: 51.8018 (Std: 12.7076)
Instr other si_sdr: 5.5538 (Std: 3.1770)
Metric avg sdr        : 9.6370
Metric avg l1_freq    : 52.3884
Metric avg si_sdr     : 8.8250
Train epoch: 71 Learning rate: 2.2752003691058396e-05
Training loss: 0.097073
Instr dry sdr: 12.5640 (Std: 4.8496)
Instr dry l1_freq: 52.2550 (Std: 14.9567)
Instr dry si_sdr: 11.5595 (Std: 7.0962)
Instr other sdr: 6.2763 (Std: 3.3485)
Instr other l1_freq: 51.3199 (Std: 13.3586)
Instr other si_sdr: 5.3568 (Std: 3.4202)
Metric avg sdr        : 9.4202
Metric avg l1_freq    : 51.7875
Metric avg si_sdr     : 8.4581
Train epoch: 72 Learning rate: 2.2752003691058396e-05
Training loss: 0.095600
Instr dry sdr: 12.8003 (Std: 4.5423)
Instr dry l1_freq: 52.7600 (Std: 14.3588)
Instr dry si_sdr: 12.1805 (Std: 5.7041)
Instr other sdr: 6.5115 (Std: 2.9982)
Instr other l1_freq: 52.0823 (Std: 12.7863)
Instr other si_sdr: 5.5840 (Std: 3.1398)
Metric avg sdr        : 9.6559
Metric avg l1_freq    : 52.4211
Metric avg si_sdr     : 8.8822
Train epoch: 73 Learning rate: 2.2752003691058396e-05
Training loss: 0.094673
Instr dry sdr: 12.4820 (Std: 4.9681)
Instr dry l1_freq: 51.8282 (Std: 15.2062)
Instr dry si_sdr: 11.2022 (Std: 8.0409)
Instr other sdr: 6.1976 (Std: 3.4702)
Instr other l1_freq: 51.1850 (Std: 13.6441)
Instr other si_sdr: 5.2832 (Std: 3.5149)
Metric avg sdr        : 9.3398
Metric avg l1_freq    : 51.5066
Metric avg si_sdr     : 8.2427
Train epoch: 74 Learning rate: 2.2752003691058396e-05
Training loss: 0.098970
Instr dry sdr: 13.0093 (Std: 4.1357)
Instr dry l1_freq: 53.5719 (Std: 13.3422)
Instr dry si_sdr: 12.5743 (Std: 4.8086)
Instr other sdr: 6.7228 (Std: 2.5965)
Instr other l1_freq: 52.6082 (Std: 11.9304)
Instr other si_sdr: 5.7645 (Std: 2.8514)
Metric avg sdr        : 9.8661
Metric avg l1_freq    : 53.0901
Metric avg si_sdr     : 9.1694
Train epoch: 75 Learning rate: 2.2752003691058396e-05
Training loss: 0.098243
Instr dry sdr: 12.3501 (Std: 5.0944)
Instr dry l1_freq: 51.7057 (Std: 15.2088)
Instr dry si_sdr: 10.9885 (Std: 8.2387)
Instr other sdr: 6.0836 (Std: 3.5578)
Instr other l1_freq: 51.0110 (Std: 13.5603)
Instr other si_sdr: 5.1709 (Std: 3.5957)
Metric avg sdr        : 9.2169
Metric avg l1_freq    : 51.3583
Metric avg si_sdr     : 8.0797
Train epoch: 76 Learning rate: 2.2752003691058396e-05
Training loss: 0.100630
Instr dry sdr: 12.7034 (Std: 4.6444)
Instr dry l1_freq: 52.7285 (Std: 14.6490)
Instr dry si_sdr: 11.8711 (Std: 6.4940)
Instr other sdr: 6.4306 (Std: 3.1718)
Instr other l1_freq: 51.6144 (Std: 13.1196)
Instr other si_sdr: 5.5063 (Std: 3.2832)
Metric avg sdr        : 9.5670
Metric avg l1_freq    : 52.1714
Metric avg si_sdr     : 8.6887
Train epoch: 77 Learning rate: 2.2752003691058396e-05
Training loss: 0.096283
Instr dry sdr: 12.4348 (Std: 5.0475)
Instr dry l1_freq: 51.7710 (Std: 15.2990)
Instr dry si_sdr: 11.0244 (Std: 8.4198)
Instr other sdr: 6.1578 (Std: 3.5390)
Instr other l1_freq: 50.9328 (Std: 13.6746)
Instr other si_sdr: 5.2448 (Std: 3.5768)
Metric avg sdr        : 9.2963
Metric avg l1_freq    : 51.3519
Metric avg si_sdr     : 8.1346
Train epoch: 78 Learning rate: 2.1614403506505474e-05
Training loss: 0.097837
Instr dry sdr: 13.0207 (Std: 4.1453)
Instr dry l1_freq: 53.6459 (Std: 13.1713)
Instr dry si_sdr: 12.6080 (Std: 4.7312)
Instr other sdr: 6.7353 (Std: 2.5701)
Instr other l1_freq: 52.6842 (Std: 11.7093)
Instr other si_sdr: 5.7647 (Std: 2.8744)
Metric avg sdr        : 9.8780
Metric avg l1_freq    : 53.1650
Metric avg si_sdr     : 9.1863
Train epoch: 79 Learning rate: 2.1614403506505474e-05
Training loss: 0.101947
Instr dry sdr: 12.9332 (Std: 4.3436)
Instr dry l1_freq: 53.3537 (Std: 13.8190)
Instr dry si_sdr: 12.4283 (Std: 5.2005)
Instr other sdr: 6.6543 (Std: 2.8273)
Instr other l1_freq: 52.4335 (Std: 12.2786)
Instr other si_sdr: 5.7128 (Std: 3.0416)
Metric avg sdr        : 9.7937
Metric avg l1_freq    : 52.8936
Metric avg si_sdr     : 9.0706
Train epoch: 80 Learning rate: 2.1614403506505474e-05
Training loss: 0.099350
Instr dry sdr: 12.4723 (Std: 5.0149)
Instr dry l1_freq: 52.1068 (Std: 15.3157)
Instr dry si_sdr: 11.0805 (Std: 8.3241)
Instr other sdr: 6.2074 (Std: 3.5594)
Instr other l1_freq: 51.0360 (Std: 13.6940)
Instr other si_sdr: 5.3164 (Std: 3.5688)
Metric avg sdr        : 9.3399
Metric avg l1_freq    : 51.5714
Metric avg si_sdr     : 8.1985
Train epoch: 81 Learning rate: 2.1614403506505474e-05
Training loss: 0.093635
Instr dry sdr: 12.7099 (Std: 4.8541)
Instr dry l1_freq: 52.5968 (Std: 15.0617)
Instr dry si_sdr: 11.8017 (Std: 6.8042)
Instr other sdr: 6.4319 (Std: 3.3872)
Instr other l1_freq: 51.6630 (Std: 13.4759)
Instr other si_sdr: 5.5562 (Std: 3.4348)
Metric avg sdr        : 9.5709
Metric avg l1_freq    : 52.1299
Metric avg si_sdr     : 8.6790
Train epoch: 82 Learning rate: 2.05336833311802e-05
Training loss: 0.096353
Instr dry sdr: 12.9787 (Std: 4.3767)
Instr dry l1_freq: 53.1769 (Std: 14.0526)
Instr dry si_sdr: 12.4865 (Std: 5.1844)
Instr other sdr: 6.6993 (Std: 2.8520)
Instr other l1_freq: 52.2443 (Std: 12.6081)
Instr other si_sdr: 5.7706 (Std: 3.0585)
Metric avg sdr        : 9.8390
Metric avg l1_freq    : 52.7106
Metric avg si_sdr     : 9.1286
Train epoch: 83 Learning rate: 2.05336833311802e-05
Training loss: 0.097904
Instr dry sdr: 12.7420 (Std: 4.8454)
Instr dry l1_freq: 52.7578 (Std: 15.0835)
Instr dry si_sdr: 11.7943 (Std: 6.9475)
Instr other sdr: 6.4755 (Std: 3.3666)
Instr other l1_freq: 51.7215 (Std: 13.4713)
Instr other si_sdr: 5.6022 (Std: 3.4287)
Metric avg sdr        : 9.6088
Metric avg l1_freq    : 52.2396
Metric avg si_sdr     : 8.6982
Train epoch: 84 Learning rate: 2.05336833311802e-05
Training loss: 0.100543
Instr dry sdr: 12.6633 (Std: 4.9497)
Instr dry l1_freq: 52.5279 (Std: 15.2972)
Instr dry si_sdr: 11.4269 (Std: 7.9240)
Instr other sdr: 6.3931 (Std: 3.4863)
Instr other l1_freq: 51.4757 (Std: 13.7058)
Instr other si_sdr: 5.5262 (Std: 3.5109)
Metric avg sdr        : 9.5282
Metric avg l1_freq    : 52.0018
Metric avg si_sdr     : 8.4766
Train epoch: 85 Learning rate: 1.9506999164621187e-05
Training loss: 0.094997
Instr dry sdr: 12.6071 (Std: 4.9734)
Instr dry l1_freq: 52.4756 (Std: 15.3162)
Instr dry si_sdr: 11.3062 (Std: 8.1111)
Instr other sdr: 6.3386 (Std: 3.5149)
Instr other l1_freq: 51.1921 (Std: 13.6591)
Instr other si_sdr: 5.4646 (Std: 3.5364)
Metric avg sdr        : 9.4728
Metric avg l1_freq    : 51.8338
Metric avg si_sdr     : 8.3854
Train epoch: 86 Learning rate: 1.9506999164621187e-05
Training loss: 0.088851
Instr dry sdr: 12.7812 (Std: 4.8315)
Instr dry l1_freq: 52.8639 (Std: 14.9941)
Instr dry si_sdr: 11.8750 (Std: 6.8288)
Instr other sdr: 6.5110 (Std: 3.3512)
Instr other l1_freq: 51.8905 (Std: 13.4302)
Instr other si_sdr: 5.6364 (Std: 3.4245)
Metric avg sdr        : 9.6461
Metric avg l1_freq    : 52.3772
Metric avg si_sdr     : 8.7557
Train epoch: 87 Learning rate: 1.9506999164621187e-05
Training loss: 0.096688
Instr dry sdr: 12.6107 (Std: 5.0691)
Instr dry l1_freq: 52.2532 (Std: 15.5093)
Instr dry si_sdr: 11.1608 (Std: 8.5200)
Instr other sdr: 6.3398 (Std: 3.6006)
Instr other l1_freq: 51.5105 (Std: 13.9688)
Instr other si_sdr: 5.4765 (Std: 3.5912)
Metric avg sdr        : 9.4752
Metric avg l1_freq    : 51.8819
Metric avg si_sdr     : 8.3187
Train epoch: 88 Learning rate: 1.8531649206390126e-05
Training loss: 0.088508
Instr dry sdr: 12.7883 (Std: 4.8446)
Instr dry l1_freq: 52.9156 (Std: 15.0524)
Instr dry si_sdr: 11.9754 (Std: 6.4877)
Instr other sdr: 6.5203 (Std: 3.3676)
Instr other l1_freq: 51.7987 (Std: 13.4090)
Instr other si_sdr: 5.6604 (Std: 3.4343)
Metric avg sdr        : 9.6543
Metric avg l1_freq    : 52.3571
Metric avg si_sdr     : 8.8179
Train epoch: 89 Learning rate: 1.8531649206390126e-05
Training loss: 0.093433
Instr dry sdr: 12.6572 (Std: 4.9947)
Instr dry l1_freq: 52.4093 (Std: 15.3350)
Instr dry si_sdr: 11.4798 (Std: 7.6844)
Instr other sdr: 6.3887 (Std: 3.5282)
Instr other l1_freq: 51.5581 (Std: 13.7855)
Instr other si_sdr: 5.5268 (Std: 3.5389)
Metric avg sdr        : 9.5229
Metric avg l1_freq    : 51.9837
Metric avg si_sdr     : 8.5033
Train epoch: 90 Learning rate: 1.8531649206390126e-05
Training loss: 0.094809
Instr dry sdr: 13.1507 (Std: 4.1088)
Instr dry l1_freq: 53.7715 (Std: 13.3363)
Instr dry si_sdr: 12.7707 (Std: 4.6134)
Instr other sdr: 6.8830 (Std: 2.5547)
Instr other l1_freq: 52.7358 (Std: 11.8587)
Instr other si_sdr: 5.9448 (Std: 2.8721)
Metric avg sdr        : 10.0169
Metric avg l1_freq    : 53.2536
Metric avg si_sdr     : 9.3577
Train epoch: 91 Learning rate: 1.8531649206390126e-05
Training loss: 0.098019
Instr dry sdr: 12.2693 (Std: 5.2773)
Instr dry l1_freq: 51.0024 (Std: 15.6507)
Instr dry si_sdr: 10.1893 (Std: 10.3445)
Instr other sdr: 6.0155 (Std: 3.7583)
Instr other l1_freq: 50.2293 (Std: 13.8978)
Instr other si_sdr: 5.1193 (Std: 3.7885)
Metric avg sdr        : 9.1424
Metric avg l1_freq    : 50.6159
Metric avg si_sdr     : 7.6543
Train epoch: 92 Learning rate: 1.8531649206390126e-05
Training loss: 0.095568
Instr dry sdr: 12.1517 (Std: 5.4645)
Instr dry l1_freq: 50.5573 (Std: 16.0760)
Instr dry si_sdr: 9.7243 (Std: 11.3482)
Instr other sdr: 5.9071 (Std: 3.8700)
Instr other l1_freq: 50.2320 (Std: 14.1274)
Instr other si_sdr: 5.0182 (Std: 3.9033)
Metric avg sdr        : 9.0294
Metric avg l1_freq    : 50.3946
Metric avg si_sdr     : 7.3713
Train epoch: 93 Learning rate: 1.8531649206390126e-05
Training loss: 0.099267
Instr dry sdr: 12.3923 (Std: 5.3252)
Instr dry l1_freq: 51.3353 (Std: 15.7117)
Instr dry si_sdr: 10.3237 (Std: 10.3709)
Instr other sdr: 6.1382 (Std: 3.7639)
Instr other l1_freq: 50.9070 (Std: 14.0275)
Instr other si_sdr: 5.2708 (Std: 3.7720)
Metric avg sdr        : 9.2653
Metric avg l1_freq    : 51.1212
Metric avg si_sdr     : 7.7973
Train epoch: 94 Learning rate: 1.760506674607062e-05
Training loss: 0.098203
Instr dry sdr: 12.1776 (Std: 5.5474)
Instr dry l1_freq: 50.2574 (Std: 16.2700)
Instr dry si_sdr: 9.8557 (Std: 11.1696)
Instr other sdr: 5.9308 (Std: 3.9415)
Instr other l1_freq: 50.1638 (Std: 14.2621)
Instr other si_sdr: 5.0634 (Std: 3.9698)
Metric avg sdr        : 9.0542
Metric avg l1_freq    : 50.2106
Metric avg si_sdr     : 7.4596
Train epoch: 95 Learning rate: 1.760506674607062e-05
Training loss: 0.091828
Instr dry sdr: 12.7154 (Std: 5.0649)
Instr dry l1_freq: 52.3362 (Std: 15.4446)
Instr dry si_sdr: 11.3587 (Std: 8.4150)
Instr other sdr: 6.4484 (Std: 3.5644)
Instr other l1_freq: 51.5290 (Std: 13.8994)
Instr other si_sdr: 5.6174 (Std: 3.5561)
Metric avg sdr        : 9.5819
Metric avg l1_freq    : 51.9326
Metric avg si_sdr     : 8.4881
Train epoch: 96 Learning rate: 1.760506674607062e-05
Training loss: 0.092210
Instr dry sdr: 12.5542 (Std: 5.1640)
Instr dry l1_freq: 51.9249 (Std: 15.4726)
Instr dry si_sdr: 10.9541 (Std: 9.0623)
Instr other sdr: 6.2939 (Std: 3.6601)
Instr other l1_freq: 51.3135 (Std: 13.9318)
Instr other si_sdr: 5.4368 (Std: 3.6569)
Metric avg sdr        : 9.4241
Metric avg l1_freq    : 51.6192
Metric avg si_sdr     : 8.1955
Train epoch: 97 Learning rate: 1.6724813408767087e-05
Training loss: 0.092498
Instr dry sdr: 12.3693 (Std: 5.3792)
Instr dry l1_freq: 51.2841 (Std: 15.7054)
Instr dry si_sdr: 10.3668 (Std: 10.1002)
Instr other sdr: 6.1246 (Std: 3.8157)
Instr other l1_freq: 50.8108 (Std: 13.9787)
Instr other si_sdr: 5.2606 (Std: 3.8357)
Metric avg sdr        : 9.2470
Metric avg l1_freq    : 51.0475
Metric avg si_sdr     : 7.8137
Train epoch: 98 Learning rate: 1.6724813408767087e-05
Training loss: 0.096498
Instr dry sdr: 12.7051 (Std: 5.0507)
Instr dry l1_freq: 52.3622 (Std: 15.4344)
Instr dry si_sdr: 11.5561 (Std: 7.6149)
Instr other sdr: 6.4355 (Std: 3.5707)
Instr other l1_freq: 51.5607 (Std: 13.8798)
Instr other si_sdr: 5.6009 (Std: 3.5600)
Metric avg sdr        : 9.5703
Metric avg l1_freq    : 51.9614
Metric avg si_sdr     : 8.5785
Train epoch: 99 Learning rate: 1.6724813408767087e-05
Training loss: 0.100907
Instr dry sdr: 12.7264 (Std: 4.9980)
Instr dry l1_freq: 52.5787 (Std: 15.3304)
Instr dry si_sdr: 11.6759 (Std: 7.3167)
Instr other sdr: 6.4726 (Std: 3.5190)
Instr other l1_freq: 51.7835 (Std: 13.7848)
Instr other si_sdr: 5.6326 (Std: 3.5291)
Metric avg sdr        : 9.5995
Metric avg l1_freq    : 52.1811
Metric avg si_sdr     : 8.6543
Train epoch: 100 Learning rate: 1.5888572738328732e-05
Training loss: 0.092124
Instr dry sdr: 12.5440 (Std: 5.1811)
Instr dry l1_freq: 52.0072 (Std: 15.5140)
Instr dry si_sdr: 11.0584 (Std: 8.6049)
Instr other sdr: 6.2961 (Std: 3.6691)
Instr other l1_freq: 51.5142 (Std: 13.9767)
Instr other si_sdr: 5.4429 (Std: 3.6636)
Metric avg sdr        : 9.4201
Metric avg l1_freq    : 51.7607
Metric avg si_sdr     : 8.2507
Train epoch: 101 Learning rate: 1.5888572738328732e-05
Training loss: 0.090086
Instr dry sdr: 12.5978 (Std: 5.1102)
Instr dry l1_freq: 52.2081 (Std: 15.3974)
Instr dry si_sdr: 11.2203 (Std: 8.3888)
Instr other sdr: 6.3431 (Std: 3.6186)
Instr other l1_freq: 51.4018 (Std: 13.8223)
Instr other si_sdr: 5.4885 (Std: 3.6250)
Metric avg sdr        : 9.4705
Metric avg l1_freq    : 51.8049
Metric avg si_sdr     : 8.3544
Train epoch: 102 Learning rate: 1.5888572738328732e-05
Training loss: 0.096567
Instr dry sdr: 12.7490 (Std: 4.9942)
Instr dry l1_freq: 52.5952 (Std: 15.2602)
Instr dry si_sdr: 11.6794 (Std: 7.4370)
Instr other sdr: 6.4891 (Std: 3.5021)
Instr other l1_freq: 51.8253 (Std: 13.7127)
Instr other si_sdr: 5.6486 (Std: 3.5285)
Metric avg sdr        : 9.6190
Metric avg l1_freq    : 52.2103
Metric avg si_sdr     : 8.6640
Train epoch: 103 Learning rate: 1.5094144101412296e-05
Training loss: 0.096566
Instr dry sdr: 12.7887 (Std: 4.9264)
Instr dry l1_freq: 52.6449 (Std: 15.1826)
Instr dry si_sdr: 11.9172 (Std: 6.7330)
Instr other sdr: 6.5313 (Std: 3.4205)
Instr other l1_freq: 52.0825 (Std: 13.6229)
Instr other si_sdr: 5.6871 (Std: 3.4548)
Metric avg sdr        : 9.6600
Metric avg l1_freq    : 52.3637
Metric avg si_sdr     : 8.8022
Train epoch: 104 Learning rate: 1.5094144101412296e-05
Training loss: 0.093049
Instr dry sdr: 12.6579 (Std: 5.0226)
Instr dry l1_freq: 52.3947 (Std: 15.3537)
Instr dry si_sdr: 11.4864 (Std: 7.7357)
Instr other sdr: 6.4079 (Std: 3.5368)
Instr other l1_freq: 51.5370 (Std: 13.7596)
Instr other si_sdr: 5.5595 (Std: 3.5535)
Metric avg sdr        : 9.5329
Metric avg l1_freq    : 51.9658
Metric avg si_sdr     : 8.5229
Train epoch: 105 Learning rate: 1.5094144101412296e-05
Training loss: 0.098858
Instr dry sdr: 12.6818 (Std: 5.0442)
Instr dry l1_freq: 52.4730 (Std: 15.3907)
Instr dry si_sdr: 11.5151 (Std: 7.6824)
Instr other sdr: 6.4299 (Std: 3.5690)
Instr other l1_freq: 51.6939 (Std: 13.8234)
Instr other si_sdr: 5.5873 (Std: 3.5722)
Metric avg sdr        : 9.5559
Metric avg l1_freq    : 52.0835
Metric avg si_sdr     : 8.5512
Train epoch: 106 Learning rate: 1.433943689634168e-05
Training loss: 0.097726
Instr dry sdr: 12.5751 (Std: 5.1911)
Instr dry l1_freq: 51.9894 (Std: 15.5097)
Instr dry si_sdr: 11.0083 (Std: 8.8566)
Instr other sdr: 6.3257 (Std: 3.6878)
Instr other l1_freq: 51.5607 (Std: 13.9770)
Instr other si_sdr: 5.4763 (Std: 3.6851)
Metric avg sdr        : 9.4504
Metric avg l1_freq    : 51.7750
Metric avg si_sdr     : 8.2423
Train epoch: 107 Learning rate: 1.433943689634168e-05
Training loss: 0.092017
Instr dry sdr: 12.7352 (Std: 5.0253)
Instr dry l1_freq: 52.4895 (Std: 15.3276)
Instr dry si_sdr: 11.6367 (Std: 7.5058)
Instr other sdr: 6.4876 (Std: 3.5314)
Instr other l1_freq: 51.7795 (Std: 13.7572)
Instr other si_sdr: 5.6532 (Std: 3.5388)
Metric avg sdr        : 9.6114
Metric avg l1_freq    : 52.1345
Metric avg si_sdr     : 8.6450
Train epoch: 108 Learning rate: 1.433943689634168e-05
Training loss: 0.093190
Instr dry sdr: 12.8397 (Std: 4.8776)
Instr dry l1_freq: 52.8024 (Std: 15.0866)
Instr dry si_sdr: 11.9941 (Std: 6.6657)
Instr other sdr: 6.5905 (Std: 3.3897)
Instr other l1_freq: 52.0548 (Std: 13.5235)
Instr other si_sdr: 5.7513 (Std: 3.4407)
Metric avg sdr        : 9.7151
Metric avg l1_freq    : 52.4286
Metric avg si_sdr     : 8.8727
Train epoch: 109 Learning rate: 1.3622465051524595e-05
Training loss: 0.097330
Instr dry sdr: 12.9161 (Std: 4.7276)
Instr dry l1_freq: 53.0033 (Std: 14.7825)
Instr dry si_sdr: 12.2813 (Std: 5.8908)
Instr other sdr: 6.6614 (Std: 3.2214)
Instr other l1_freq: 52.2954 (Std: 13.1528)
Instr other si_sdr: 5.8090 (Std: 3.3168)
Metric avg sdr        : 9.7888
Metric avg l1_freq    : 52.6493
Metric avg si_sdr     : 9.0452
Train epoch: 110 Learning rate: 1.3622465051524595e-05
Training loss: 0.093989
Instr dry sdr: 13.0471 (Std: 4.5122)
Instr dry l1_freq: 53.2873 (Std: 14.2572)
Instr dry si_sdr: 12.5396 (Std: 5.3434)
Instr other sdr: 6.7939 (Std: 2.9733)
Instr other l1_freq: 52.7643 (Std: 12.6462)
Instr other si_sdr: 5.9262 (Std: 3.1305)
Metric avg sdr        : 9.9205
Metric avg l1_freq    : 53.0258
Metric avg si_sdr     : 9.2329
Train epoch: 111 Learning rate: 1.3622465051524595e-05
Training loss: 0.091716
Instr dry sdr: 12.8921 (Std: 4.7097)
Instr dry l1_freq: 53.0324 (Std: 14.7172)
Instr dry si_sdr: 12.2804 (Std: 5.7996)
Instr other sdr: 6.6447 (Std: 3.2111)
Instr other l1_freq: 52.1832 (Std: 13.0902)
Instr other si_sdr: 5.7832 (Std: 3.3266)
Metric avg sdr        : 9.7684
Metric avg l1_freq    : 52.6078
Metric avg si_sdr     : 9.0318
Train epoch: 112 Learning rate: 1.2941341798948365e-05
Training loss: 0.093010
Instr dry sdr: 12.7339 (Std: 4.9894)
Instr dry l1_freq: 52.5628 (Std: 15.2270)
Instr dry si_sdr: 11.7856 (Std: 6.9943)
Instr other sdr: 6.4929 (Std: 3.4961)
Instr other l1_freq: 51.8127 (Std: 13.6453)
Instr other si_sdr: 5.6540 (Std: 3.5220)
Metric avg sdr        : 9.6134
Metric avg l1_freq    : 52.1878
Metric avg si_sdr     : 8.7198
Train epoch: 113 Learning rate: 1.2941341798948365e-05
Training loss: 0.091633
Instr dry sdr: 12.8765 (Std: 4.7889)
Instr dry l1_freq: 52.9751 (Std: 14.8547)
Instr dry si_sdr: 12.1655 (Std: 6.1935)
Instr other sdr: 6.6291 (Std: 3.2774)
Instr other l1_freq: 52.1851 (Std: 13.2451)
Instr other si_sdr: 5.7841 (Std: 3.3589)
Metric avg sdr        : 9.7528
Metric avg l1_freq    : 52.5801
Metric avg si_sdr     : 8.9748
Train epoch: 114 Learning rate: 1.2941341798948365e-05
Training loss: 0.092634
Instr dry sdr: 12.7374 (Std: 5.0415)
Instr dry l1_freq: 52.4767 (Std: 15.2749)
Instr dry si_sdr: 11.7247 (Std: 7.2032)
Instr other sdr: 6.4891 (Std: 3.5588)
Instr other l1_freq: 51.8537 (Std: 13.7385)
Instr other si_sdr: 5.6611 (Std: 3.5587)
Metric avg sdr        : 9.6133
Metric avg l1_freq    : 52.1652
Metric avg si_sdr     : 8.6929
Train epoch: 115 Learning rate: 1.2294274709000947e-05
Training loss: 0.096644
Instr dry sdr: 12.6075 (Std: 5.1926)
Instr dry l1_freq: 52.0390 (Std: 15.4268)
Instr dry si_sdr: 11.1788 (Std: 8.4648)
Instr other sdr: 6.3639 (Std: 3.6876)
Instr other l1_freq: 51.6923 (Std: 13.8963)
Instr other si_sdr: 5.5344 (Std: 3.6760)
Metric avg sdr        : 9.4857
Metric avg l1_freq    : 51.8657
Metric avg si_sdr     : 8.3566
Train epoch: 116 Learning rate: 1.2294274709000947e-05
Training loss: 0.094321
Instr dry sdr: 12.6282 (Std: 5.2046)
Instr dry l1_freq: 52.0768 (Std: 15.4735)
Instr dry si_sdr: 11.1439 (Std: 8.6633)
Instr other sdr: 6.3837 (Std: 3.6983)
Instr other l1_freq: 51.5680 (Std: 13.9084)
Instr other si_sdr: 5.5586 (Std: 3.6887)
Metric avg sdr        : 9.5060
Metric avg l1_freq    : 51.8224
Metric avg si_sdr     : 8.3512
Train epoch: 117 Learning rate: 1.2294274709000947e-05
Training loss: 0.093851
Instr dry sdr: 12.7273 (Std: 5.0907)
Instr dry l1_freq: 52.3832 (Std: 15.3896)
Instr dry si_sdr: 11.5779 (Std: 7.6525)
Instr other sdr: 6.4779 (Std: 3.6006)
Instr other l1_freq: 51.7455 (Std: 13.8349)
Instr other si_sdr: 5.6541 (Std: 3.5949)
Metric avg sdr        : 9.6026
Metric avg l1_freq    : 52.0644
Metric avg si_sdr     : 8.6160
Train epoch: 118 Learning rate: 1.1679560973550899e-05
Training loss: 0.095892
Instr dry sdr: 12.8512 (Std: 4.9712)
Instr dry l1_freq: 52.6765 (Std: 15.2045)
Instr dry si_sdr: 12.0067 (Std: 6.6730)
Instr other sdr: 6.6058 (Std: 3.4656)
Instr other l1_freq: 52.1678 (Std: 13.6668)
Instr other si_sdr: 5.7832 (Std: 3.4873)
Metric avg sdr        : 9.7285
Metric avg l1_freq    : 52.4222
Metric avg si_sdr     : 8.8950
Train epoch: 119 Learning rate: 1.1679560973550899e-05
Training loss: 0.091460
Instr dry sdr: 12.7908 (Std: 5.0447)
Instr dry l1_freq: 52.5138 (Std: 15.2710)
Instr dry si_sdr: 11.8395 (Std: 7.0315)
Instr other sdr: 6.5475 (Std: 3.5367)
Instr other l1_freq: 52.1575 (Std: 13.7656)
Instr other si_sdr: 5.7225 (Std: 3.5484)
Metric avg sdr        : 9.6691
Metric avg l1_freq    : 52.3357
Metric avg si_sdr     : 8.7810
Train epoch: 120 Learning rate: 1.1679560973550899e-05
Training loss: 0.095307
Instr dry sdr: 12.6581 (Std: 5.1660)
Instr dry l1_freq: 52.2390 (Std: 15.4570)
Instr dry si_sdr: 11.3697 (Std: 8.0572)
Instr other sdr: 6.4173 (Std: 3.6589)
Instr other l1_freq: 51.7268 (Std: 13.8933)
Instr other si_sdr: 5.5903 (Std: 3.6538)
Metric avg sdr        : 9.5377
Metric avg l1_freq    : 51.9829
Metric avg si_sdr     : 8.4800
Train epoch: 121 Learning rate: 1.1095582924873354e-05
Training loss: 0.092688
Instr dry sdr: 12.8339 (Std: 4.9952)
Instr dry l1_freq: 52.7786 (Std: 15.2630)
Instr dry si_sdr: 11.9348 (Std: 6.8469)
Instr other sdr: 6.5914 (Std: 3.5119)
Instr other l1_freq: 51.9780 (Std: 13.6690)
Instr other si_sdr: 5.7741 (Std: 3.5316)
Metric avg sdr        : 9.7127
Metric avg l1_freq    : 52.3783
Metric avg si_sdr     : 8.8545
Train epoch: 122 Learning rate: 1.1095582924873354e-05
Training loss: 0.089389
Instr dry sdr: 12.6868 (Std: 5.1543)
Instr dry l1_freq: 52.2544 (Std: 15.4487)
Instr dry si_sdr: 11.3596 (Std: 8.1785)
Instr other sdr: 6.4391 (Std: 3.6619)
Instr other l1_freq: 51.7883 (Std: 13.9304)
Instr other si_sdr: 5.6145 (Std: 3.6520)
Metric avg sdr        : 9.5629
Metric avg l1_freq    : 52.0214
Metric avg si_sdr     : 8.4870
Train epoch: 123 Learning rate: 1.1095582924873354e-05
Training loss: 0.092695
Instr dry sdr: 13.1334 (Std: 4.4033)
Instr dry l1_freq: 53.5958 (Std: 13.9688)
Instr dry si_sdr: 12.6618 (Std: 5.1663)
Instr other sdr: 6.8817 (Std: 2.8615)
Instr other l1_freq: 52.8812 (Std: 12.3821)
Instr other si_sdr: 6.0108 (Std: 3.0557)
Metric avg sdr        : 10.0075
Metric avg l1_freq    : 53.2385
Metric avg si_sdr     : 9.3363
Train epoch: 124 Learning rate: 1.0540803778629686e-05
Training loss: 0.090865
Instr dry sdr: 12.8815 (Std: 4.9351)
Instr dry l1_freq: 52.8738 (Std: 15.1633)
Instr dry si_sdr: 12.0065 (Std: 6.7775)
Instr other sdr: 6.6391 (Std: 3.4489)
Instr other l1_freq: 52.2346 (Std: 13.5820)
Instr other si_sdr: 5.8236 (Std: 3.4771)
Metric avg sdr        : 9.7603
Metric avg l1_freq    : 52.5542
Metric avg si_sdr     : 8.9150
Train epoch: 125 Learning rate: 1.0540803778629686e-05
Training loss: 0.097932
Instr dry sdr: 12.8245 (Std: 5.0095)
Instr dry l1_freq: 52.7419 (Std: 15.3479)
Instr dry si_sdr: 11.7842 (Std: 7.3198)
Instr other sdr: 6.5780 (Std: 3.5360)
Instr other l1_freq: 52.0653 (Std: 13.7986)
Instr other si_sdr: 5.7681 (Std: 3.5339)
Metric avg sdr        : 9.7012
Metric avg l1_freq    : 52.4036
Metric avg si_sdr     : 8.7762
Train epoch: 126 Learning rate: 1.0540803778629686e-05
Training loss: 0.090215
Instr dry sdr: 12.7792 (Std: 5.1109)
Instr dry l1_freq: 52.4720 (Std: 15.4843)
Instr dry si_sdr: 11.5726 (Std: 7.8367)
Instr other sdr: 6.5294 (Std: 3.6304)
Instr other l1_freq: 51.8799 (Std: 13.9584)
Instr other si_sdr: 5.7211 (Std: 3.6152)
Metric avg sdr        : 9.6543
Metric avg l1_freq    : 52.1760
Metric avg si_sdr     : 8.6469
Train epoch: 127 Learning rate: 1.0013763589698201e-05
Training loss: 0.089430
Instr dry sdr: 12.9886 (Std: 4.7834)
Instr dry l1_freq: 53.1443 (Std: 14.8720)
Instr dry si_sdr: 12.3267 (Std: 6.0204)
Instr other sdr: 6.7426 (Std: 3.2993)
Instr other l1_freq: 52.4058 (Std: 13.3023)
Instr other si_sdr: 5.9186 (Std: 3.3788)
Metric avg sdr        : 9.8656
Metric avg l1_freq    : 52.7750
Metric avg si_sdr     : 9.1226
Train epoch: 128 Learning rate: 1.0013763589698201e-05
Training loss: 0.094312
Instr dry sdr: 12.8587 (Std: 5.0473)
Instr dry l1_freq: 52.7096 (Std: 15.3562)
Instr dry si_sdr: 11.8176 (Std: 7.3272)
Instr other sdr: 6.6173 (Std: 3.5731)
Instr other l1_freq: 52.1558 (Std: 13.8513)
Instr other si_sdr: 5.8106 (Std: 3.5761)
Metric avg sdr        : 9.7380
Metric avg l1_freq    : 52.4327
Metric avg si_sdr     : 8.8141
Train epoch: 129 Learning rate: 1.0013763589698201e-05
Training loss: 0.097339
Instr dry sdr: 12.9453 (Std: 4.9302)
Instr dry l1_freq: 52.9732 (Std: 15.1751)
Instr dry si_sdr: 12.1253 (Std: 6.5995)
Instr other sdr: 6.7016 (Std: 3.4517)
Instr other l1_freq: 52.3808 (Std: 13.6101)
Instr other si_sdr: 5.8944 (Std: 3.4824)
Metric avg sdr        : 9.8235
Metric avg l1_freq    : 52.6770
Metric avg si_sdr     : 9.0099
Train epoch: 130 Learning rate: 9.513075410213291e-06
Training loss: 0.093759
Instr dry sdr: 12.6769 (Std: 5.1848)
Instr dry l1_freq: 52.2604 (Std: 15.4905)
Instr dry si_sdr: 11.2656 (Std: 8.4064)
Instr other sdr: 6.4356 (Std: 3.7061)
Instr other l1_freq: 51.7764 (Std: 13.9597)
Instr other si_sdr: 5.6129 (Std: 3.6973)
Metric avg sdr        : 9.5563
Metric avg l1_freq    : 52.0184
Metric avg si_sdr     : 8.4393
Train epoch: 131 Learning rate: 9.513075410213291e-06
Training loss: 0.098356
Instr dry sdr: 12.7425 (Std: 5.1650)
Instr dry l1_freq: 52.4089 (Std: 15.4820)
Instr dry si_sdr: 11.4501 (Std: 8.0911)
Instr other sdr: 6.4990 (Std: 3.6775)
Instr other l1_freq: 51.8683 (Std: 13.9575)
Instr other si_sdr: 5.6862 (Std: 3.6691)
Metric avg sdr        : 9.6207
Metric avg l1_freq    : 52.1386
Metric avg si_sdr     : 8.5681
Train epoch: 132 Learning rate: 9.513075410213291e-06
Training loss: 0.095287
Instr dry sdr: 12.4559 (Std: 5.4014)
Instr dry l1_freq: 51.3773 (Std: 15.7209)
Instr dry si_sdr: 10.6520 (Std: 9.5616)
Instr other sdr: 6.2205 (Std: 3.8719)
Instr other l1_freq: 51.2221 (Std: 14.0111)
Instr other si_sdr: 5.3885 (Std: 3.8971)
Metric avg sdr        : 9.3382
Metric avg l1_freq    : 51.2997
Metric avg si_sdr     : 8.0202
Train epoch: 133 Learning rate: 9.037421639702626e-06
Training loss: 0.094915
Instr dry sdr: 12.7138 (Std: 5.1674)
Instr dry l1_freq: 52.4015 (Std: 15.4349)
Instr dry si_sdr: 11.4121 (Std: 8.1166)
Instr other sdr: 6.4753 (Std: 3.6846)
Instr other l1_freq: 51.8321 (Std: 13.8875)
Instr other si_sdr: 5.6583 (Std: 3.6783)
Metric avg sdr        : 9.5945
Metric avg l1_freq    : 52.1168
Metric avg si_sdr     : 8.5352
Train epoch: 134 Learning rate: 9.037421639702626e-06
Training loss: 0.096393
Instr dry sdr: 12.7945 (Std: 5.1220)
Instr dry l1_freq: 52.6010 (Std: 15.3983)
Instr dry si_sdr: 11.6378 (Std: 7.6964)
Instr other sdr: 6.5584 (Std: 3.6388)
Instr other l1_freq: 51.9830 (Std: 13.8424)
Instr other si_sdr: 5.7504 (Std: 3.6350)
Metric avg sdr        : 9.6764
Metric avg l1_freq    : 52.2920
Metric avg si_sdr     : 8.6941
Train epoch: 135 Learning rate: 9.037421639702626e-06
Training loss: 0.099597
Instr dry sdr: 12.7919 (Std: 5.1178)
Instr dry l1_freq: 52.5562 (Std: 15.4150)
Instr dry si_sdr: 11.6321 (Std: 7.6935)
Instr other sdr: 6.5530 (Std: 3.6320)
Instr other l1_freq: 52.0400 (Std: 13.8747)
Instr other si_sdr: 5.7409 (Std: 3.6274)
Metric avg sdr        : 9.6724
Metric avg l1_freq    : 52.2981
Metric avg si_sdr     : 8.6865
Train epoch: 136 Learning rate: 8.585550557717495e-06
Training loss: 0.090295
Instr dry sdr: 12.8795 (Std: 4.9871)
Instr dry l1_freq: 52.8569 (Std: 15.2440)
Instr dry si_sdr: 11.9876 (Std: 6.8381)
Instr other sdr: 6.6420 (Std: 3.5077)
Instr other l1_freq: 52.2082 (Std: 13.6723)
Instr other si_sdr: 5.8337 (Std: 3.5257)
Metric avg sdr        : 9.7607
Metric avg l1_freq    : 52.5326
Metric avg si_sdr     : 8.9106
Train epoch: 137 Learning rate: 8.585550557717495e-06
Training loss: 0.089884
Instr dry sdr: 12.8850 (Std: 5.0298)
Instr dry l1_freq: 52.7489 (Std: 15.2832)
Instr dry si_sdr: 11.9058 (Std: 7.1376)
Instr other sdr: 6.6479 (Std: 3.5415)
Instr other l1_freq: 52.2620 (Std: 13.7692)
Instr other si_sdr: 5.8442 (Std: 3.5491)
Metric avg sdr        : 9.7665
Metric avg l1_freq    : 52.5055
Metric avg si_sdr     : 8.8750
Train epoch: 138 Learning rate: 8.585550557717495e-06
Training loss: 0.088977
Instr dry sdr: 12.9498 (Std: 4.8888)
Instr dry l1_freq: 53.0007 (Std: 15.0386)
Instr dry si_sdr: 12.1730 (Std: 6.4540)
Instr other sdr: 6.7089 (Std: 3.3994)
Instr other l1_freq: 52.4736 (Std: 13.5112)
Instr other si_sdr: 5.8944 (Std: 3.4422)
Metric avg sdr        : 9.8294
Metric avg l1_freq    : 52.7371
Metric avg si_sdr     : 9.0337
Train epoch: 139 Learning rate: 8.156273029831619e-06
Training loss: 0.094878
Instr dry sdr: 13.0263 (Std: 4.8388)
Instr dry l1_freq: 53.2131 (Std: 14.9437)
Instr dry si_sdr: 12.3148 (Std: 6.2340)
Instr other sdr: 6.7840 (Std: 3.3348)
Instr other l1_freq: 52.5629 (Std: 13.3594)
Instr other si_sdr: 5.9767 (Std: 3.3971)
Metric avg sdr        : 9.9051
Metric avg l1_freq    : 52.8880
Metric avg si_sdr     : 9.1457
Train epoch: 140 Learning rate: 8.156273029831619e-06
Training loss: 0.095048
Instr dry sdr: 13.0318 (Std: 4.7903)
Instr dry l1_freq: 53.2220 (Std: 14.8110)
Instr dry si_sdr: 12.3731 (Std: 6.0319)
Instr other sdr: 6.7918 (Std: 3.2833)
Instr other l1_freq: 52.5610 (Std: 13.2352)
Instr other si_sdr: 5.9756 (Std: 3.3698)
Metric avg sdr        : 9.9118
Metric avg l1_freq    : 52.8915
Metric avg si_sdr     : 9.1744
Train epoch: 141 Learning rate: 8.156273029831619e-06
Training loss: 0.100407
Instr dry sdr: 12.8483 (Std: 5.0633)
Instr dry l1_freq: 52.7168 (Std: 15.3261)
Instr dry si_sdr: 11.7780 (Std: 7.4301)
Instr other sdr: 6.6118 (Std: 3.5896)
Instr other l1_freq: 52.0975 (Std: 13.7927)
Instr other si_sdr: 5.8122 (Std: 3.5883)
Metric avg sdr        : 9.7301
Metric avg l1_freq    : 52.4071
Metric avg si_sdr     : 8.7951
Train epoch: 142 Learning rate: 7.748459378340037e-06
Training loss: 0.098264
Instr dry sdr: 12.9012 (Std: 5.0163)
Instr dry l1_freq: 52.9055 (Std: 15.2636)
Instr dry si_sdr: 11.9283 (Std: 7.1281)
Instr other sdr: 6.6659 (Std: 3.5414)
Instr other l1_freq: 52.2809 (Std: 13.7113)
Instr other si_sdr: 5.8686 (Std: 3.5462)
Metric avg sdr        : 9.7835
Metric avg l1_freq    : 52.5932
Metric avg si_sdr     : 8.8984
Train epoch: 143 Learning rate: 7.748459378340037e-06
Training loss: 0.091402
Instr dry sdr: 12.9116 (Std: 5.0022)
Instr dry l1_freq: 52.9557 (Std: 15.2628)
Instr dry si_sdr: 11.9703 (Std: 7.0275)
Instr other sdr: 6.6674 (Std: 3.5289)
Instr other l1_freq: 52.2054 (Std: 13.6955)
Instr other si_sdr: 5.8712 (Std: 3.5378)
Metric avg sdr        : 9.7895
Metric avg l1_freq    : 52.5805
Metric avg si_sdr     : 8.9208
Train epoch: 144 Learning rate: 7.748459378340037e-06
Training loss: 0.094382
Instr dry sdr: 12.9307 (Std: 4.9579)
Instr dry l1_freq: 52.8868 (Std: 15.1344)
Instr dry si_sdr: 12.0759 (Std: 6.7416)
Instr other sdr: 6.6924 (Std: 3.4671)
Instr other l1_freq: 52.4059 (Std: 13.6066)
Instr other si_sdr: 5.8890 (Std: 3.4903)
Metric avg sdr        : 9.8116
Metric avg l1_freq    : 52.6464
Metric avg si_sdr     : 8.9825
Train epoch: 145 Learning rate: 7.361036409423035e-06
Training loss: 0.097014
Instr dry sdr: 12.8796 (Std: 5.0266)
Instr dry l1_freq: 52.7791 (Std: 15.2656)
Instr dry si_sdr: 11.9162 (Std: 7.1001)
Instr other sdr: 6.6454 (Std: 3.5405)
Instr other l1_freq: 52.2561 (Std: 13.7232)
Instr other si_sdr: 5.8467 (Std: 3.5463)
Metric avg sdr        : 9.7625
Metric avg l1_freq    : 52.5176
Metric avg si_sdr     : 8.8815
Train epoch: 146 Learning rate: 7.361036409423035e-06
Training loss: 0.090039
Instr dry sdr: 12.9316 (Std: 4.9567)
Instr dry l1_freq: 52.9859 (Std: 15.1807)
Instr dry si_sdr: 12.0449 (Std: 6.8583)
Instr other sdr: 6.6940 (Std: 3.4768)
Instr other l1_freq: 52.3062 (Std: 13.5915)
Instr other si_sdr: 5.8962 (Std: 3.4986)
Metric avg sdr        : 9.8128
Metric avg l1_freq    : 52.6460
Metric avg si_sdr     : 8.9706
Train epoch: 147 Learning rate: 7.361036409423035e-06
Training loss: 0.086740
Instr dry sdr: 12.9175 (Std: 5.0477)
Instr dry l1_freq: 52.8124 (Std: 15.3145)
Instr dry si_sdr: 11.9079 (Std: 7.2653)
Instr other sdr: 6.6818 (Std: 3.5602)
Instr other l1_freq: 52.3869 (Std: 13.7973)
Instr other si_sdr: 5.8909 (Std: 3.5586)
Metric avg sdr        : 9.7996
Metric avg l1_freq    : 52.5997
Metric avg si_sdr     : 8.8994
Train epoch: 148 Learning rate: 6.992984588951883e-06
Training loss: 0.093262
Instr dry sdr: 12.9297 (Std: 4.9863)
Instr dry l1_freq: 52.9437 (Std: 15.2206)
Instr dry si_sdr: 12.0304 (Std: 6.8971)
Instr other sdr: 6.6975 (Std: 3.4967)
Instr other l1_freq: 52.3166 (Std: 13.6655)
Instr other si_sdr: 5.9003 (Std: 3.5149)
Metric avg sdr        : 9.8136
Metric avg l1_freq    : 52.6301
Metric avg si_sdr     : 8.9654
Train epoch: 149 Learning rate: 6.992984588951883e-06
Training loss: 0.089209
Instr dry sdr: 12.9448 (Std: 4.9485)
Instr dry l1_freq: 52.9930 (Std: 15.1825)
Instr dry si_sdr: 12.0571 (Std: 6.8559)
Instr other sdr: 6.7064 (Std: 3.4694)
Instr other l1_freq: 52.3082 (Std: 13.6207)
Instr other si_sdr: 5.9045 (Std: 3.4973)
Metric avg sdr        : 9.8256
Metric avg l1_freq    : 52.6506
Metric avg si_sdr     : 8.9808
Train epoch: 150 Learning rate: 6.992984588951883e-06
Training loss: 0.091250
Instr dry sdr: 13.0154 (Std: 4.8329)
Instr dry l1_freq: 53.1560 (Std: 14.9594)
Instr dry si_sdr: 12.2982 (Std: 6.2567)
Instr other sdr: 6.7774 (Std: 3.3365)
Instr other l1_freq: 52.5333 (Std: 13.4056)
Instr other si_sdr: 5.9671 (Std: 3.4008)
Metric avg sdr        : 9.8964
Metric avg l1_freq    : 52.8446
Metric avg si_sdr     : 9.1326
Train epoch: 151 Learning rate: 6.643335359504288e-06
Training loss: 0.089285
Instr dry sdr: 12.9558 (Std: 5.0116)
Instr dry l1_freq: 52.8557 (Std: 15.2873)
Instr dry si_sdr: 12.0446 (Std: 6.9359)
Instr other sdr: 6.7192 (Std: 3.5214)
Instr other l1_freq: 52.2718 (Std: 13.7646)
Instr other si_sdr: 5.9287 (Std: 3.5342)
Metric avg sdr        : 9.8375
Metric avg l1_freq    : 52.5638
Metric avg si_sdr     : 8.9866
Train epoch: 152 Learning rate: 6.643335359504288e-06
Training loss: 0.093715
Instr dry sdr: 12.8837 (Std: 5.0895)
Instr dry l1_freq: 52.7785 (Std: 15.4209)
Instr dry si_sdr: 11.8158 (Std: 7.4261)
Instr other sdr: 6.6453 (Std: 3.6111)
Instr other l1_freq: 52.1904 (Std: 13.9012)
Instr other si_sdr: 5.8519 (Std: 3.6058)
Metric avg sdr        : 9.7645
Metric avg l1_freq    : 52.4845
Metric avg si_sdr     : 8.8338
Train epoch: 153 Learning rate: 6.643335359504288e-06
Training loss: 0.094634
Instr dry sdr: 12.9221 (Std: 5.0286)
Instr dry l1_freq: 52.7799 (Std: 15.3241)
Instr dry si_sdr: 11.9359 (Std: 7.1872)
Instr other sdr: 6.6838 (Std: 3.5465)
Instr other l1_freq: 52.2104 (Std: 13.8029)
Instr other si_sdr: 5.8925 (Std: 3.5535)
Metric avg sdr        : 9.8030
Metric avg l1_freq    : 52.4951
Metric avg si_sdr     : 8.9142
Train epoch: 154 Learning rate: 6.311168591529074e-06
Training loss: 0.090340
Instr dry sdr: 12.5977 (Std: 5.3607)
Instr dry l1_freq: 51.7653 (Std: 15.6438)
Instr dry si_sdr: 10.8231 (Std: 9.5397)
Instr other sdr: 6.3668 (Std: 3.8433)
Instr other l1_freq: 51.4808 (Std: 14.0331)
Instr other si_sdr: 5.5531 (Std: 3.8592)
Metric avg sdr        : 9.4822
Metric avg l1_freq    : 51.6231
Metric avg si_sdr     : 8.1881
Train epoch: 155 Learning rate: 6.311168591529074e-06
Training loss: 0.094673
Instr dry sdr: 12.6857 (Std: 5.2910)
Instr dry l1_freq: 52.0814 (Std: 15.5593)
Instr dry si_sdr: 11.0689 (Std: 9.0954)
Instr other sdr: 6.4517 (Std: 3.7781)
Instr other l1_freq: 51.7817 (Std: 14.0336)
Instr other si_sdr: 5.6439 (Std: 3.7786)
Metric avg sdr        : 9.5687
Metric avg l1_freq    : 51.9316
Metric avg si_sdr     : 8.3564
Train epoch: 156 Learning rate: 6.311168591529074e-06
Training loss: 0.097054
Instr dry sdr: 12.8776 (Std: 5.1045)
Instr dry l1_freq: 52.6716 (Std: 15.4472)
Instr dry si_sdr: 11.7472 (Std: 7.6424)
Instr other sdr: 6.6376 (Std: 3.6234)
Instr other l1_freq: 52.1721 (Std: 13.9403)
Instr other si_sdr: 5.8483 (Std: 3.6134)
Metric avg sdr        : 9.7576
Metric avg l1_freq    : 52.4218
Metric avg si_sdr     : 8.7978
Train epoch: 157 Learning rate: 5.9956101619526196e-06
Training loss: 0.086725
Instr dry sdr: 12.7567 (Std: 5.1877)
Instr dry l1_freq: 52.3955 (Std: 15.5117)
Instr dry si_sdr: 11.3619 (Std: 8.4342)
Instr other sdr: 6.5151 (Std: 3.7013)
Instr other l1_freq: 51.9408 (Std: 13.9934)
Instr other si_sdr: 5.7100 (Std: 3.6893)
Metric avg sdr        : 9.6359
Metric avg l1_freq    : 52.1681
Metric avg si_sdr     : 8.5360
Train epoch: 158 Learning rate: 5.9956101619526196e-06
Training loss: 0.088358
Instr dry sdr: 12.8922 (Std: 5.0698)
Instr dry l1_freq: 52.7622 (Std: 15.3663)
Instr dry si_sdr: 11.8662 (Std: 7.3063)
Instr other sdr: 6.6547 (Std: 3.5908)
Instr other l1_freq: 52.2345 (Std: 13.8596)
Instr other si_sdr: 5.8634 (Std: 3.5879)
Metric avg sdr        : 9.7735
Metric avg l1_freq    : 52.4984
Metric avg si_sdr     : 8.8648
Train epoch: 159 Learning rate: 5.9956101619526196e-06
Training loss: 0.095690
Instr dry sdr: 12.8906 (Std: 5.0697)
Instr dry l1_freq: 52.7371 (Std: 15.3624)
Instr dry si_sdr: 11.8548 (Std: 7.3340)
Instr other sdr: 6.6570 (Std: 3.5914)
Instr other l1_freq: 52.2013 (Std: 13.8421)
Instr other si_sdr: 5.8675 (Std: 3.5863)
Metric avg sdr        : 9.7738
Metric avg l1_freq    : 52.4692
Metric avg si_sdr     : 8.8611
Train epoch: 160 Learning rate: 5.695829653854988e-06
Training loss: 0.092579
Instr dry sdr: 12.8544 (Std: 5.1251)
Instr dry l1_freq: 52.6313 (Std: 15.4354)
Instr dry si_sdr: 11.7075 (Std: 7.6726)
Instr other sdr: 6.6202 (Std: 3.6433)
Instr other l1_freq: 52.2660 (Std: 13.9422)
Instr other si_sdr: 5.8278 (Std: 3.6284)
Metric avg sdr        : 9.7373
Metric avg l1_freq    : 52.4487
Metric avg si_sdr     : 8.7676
Train epoch: 161 Learning rate: 5.695829653854988e-06
Training loss: 0.097362
Instr dry sdr: 12.9443 (Std: 5.0329)
Instr dry l1_freq: 52.8741 (Std: 15.3065)
Instr dry si_sdr: 11.9991 (Std: 7.0508)
Instr other sdr: 6.7074 (Std: 3.5450)
Instr other l1_freq: 52.4280 (Std: 13.8087)
Instr other si_sdr: 5.9183 (Std: 3.5510)
Metric avg sdr        : 9.8259
Metric avg l1_freq    : 52.6510
Metric avg si_sdr     : 8.9587
Train epoch: 162 Learning rate: 5.695829653854988e-06
Training loss: 0.091346
Instr dry sdr: 12.8804 (Std: 5.1055)
Instr dry l1_freq: 52.7372 (Std: 15.4190)
Instr dry si_sdr: 11.7930 (Std: 7.5043)
Instr other sdr: 6.6422 (Std: 3.6245)
Instr other l1_freq: 52.2196 (Std: 13.9112)
Instr other si_sdr: 5.8524 (Std: 3.6164)
Metric avg sdr        : 9.7613
Metric avg l1_freq    : 52.4784
Metric avg si_sdr     : 8.8227
Train epoch: 163 Learning rate: 5.411038171162238e-06
Training loss: 0.091542
Instr dry sdr: 12.8616 (Std: 5.1150)
Instr dry l1_freq: 52.6565 (Std: 15.4280)
Instr dry si_sdr: 11.7335 (Std: 7.6210)
Instr other sdr: 6.6225 (Std: 3.6385)
Instr other l1_freq: 52.1651 (Std: 13.9175)
Instr other si_sdr: 5.8302 (Std: 3.6274)
Metric avg sdr        : 9.7421
Metric avg l1_freq    : 52.4108
Metric avg si_sdr     : 8.7819
Train epoch: 164 Learning rate: 5.411038171162238e-06
Training loss: 0.094600
Instr dry sdr: 12.8673 (Std: 5.1267)
Instr dry l1_freq: 52.6975 (Std: 15.4468)
Instr dry si_sdr: 11.7171 (Std: 7.6899)
Instr other sdr: 6.6311 (Std: 3.6509)
Instr other l1_freq: 52.1967 (Std: 13.9381)
Instr other si_sdr: 5.8418 (Std: 3.6379)
Metric avg sdr        : 9.7492
Metric avg l1_freq    : 52.4471
Metric avg si_sdr     : 8.7795
Train epoch: 165 Learning rate: 5.411038171162238e-06
Training loss: 0.097291
Instr dry sdr: 13.0089 (Std: 4.9530)
Instr dry l1_freq: 53.1224 (Std: 15.1908)
Instr dry si_sdr: 12.2088 (Std: 6.5852)
Instr other sdr: 6.7727 (Std: 3.4620)
Instr other l1_freq: 52.4034 (Std: 13.6353)
Instr other si_sdr: 5.9884 (Std: 3.4897)
Metric avg sdr        : 9.8908
Metric avg l1_freq    : 52.7629
Metric avg si_sdr     : 9.0986
Train epoch: 166 Learning rate: 5.1404862626041264e-06
Training loss: 0.094797
Instr dry sdr: 13.0049 (Std: 4.9604)
Instr dry l1_freq: 53.0771 (Std: 15.1746)
Instr dry si_sdr: 12.2103 (Std: 6.5536)
Instr other sdr: 6.7714 (Std: 3.4740)
Instr other l1_freq: 52.4696 (Std: 13.6267)
Instr other si_sdr: 5.9851 (Std: 3.5005)
Metric avg sdr        : 9.8881
Metric avg l1_freq    : 52.7734
Metric avg si_sdr     : 9.0977
Train epoch: 167 Learning rate: 5.1404862626041264e-06
Training loss: 0.100379
Instr dry sdr: 12.9419 (Std: 5.0760)
Instr dry l1_freq: 52.8755 (Std: 15.3623)
Instr dry si_sdr: 11.9785 (Std: 7.1096)
Instr other sdr: 6.7099 (Std: 3.5933)
Instr other l1_freq: 52.3490 (Std: 13.8569)
Instr other si_sdr: 5.9277 (Std: 3.5915)
Metric avg sdr        : 9.8259
Metric avg l1_freq    : 52.6122
Metric avg si_sdr     : 8.9531
Train epoch: 168 Learning rate: 5.1404862626041264e-06
Training loss: 0.097326
Instr dry sdr: 12.8634 (Std: 5.1823)
Instr dry l1_freq: 52.4627 (Std: 15.5339)
Instr dry si_sdr: 11.6184 (Std: 7.9900)
Instr other sdr: 6.6246 (Std: 3.6947)
Instr other l1_freq: 52.0684 (Std: 14.0159)
Instr other si_sdr: 5.8370 (Std: 3.6815)
Metric avg sdr        : 9.7440
Metric avg l1_freq    : 52.2656
Metric avg si_sdr     : 8.7277
Train epoch: 169 Learning rate: 4.88346194947392e-06
Training loss: 0.092164
Instr dry sdr: 13.0002 (Std: 4.9702)
Instr dry l1_freq: 52.9855 (Std: 15.2065)
Instr dry si_sdr: 12.1563 (Std: 6.7287)
Instr other sdr: 6.7648 (Std: 3.4724)
Instr other l1_freq: 52.3790 (Std: 13.6860)
Instr other si_sdr: 5.9752 (Std: 3.5019)
Metric avg sdr        : 9.8825
Metric avg l1_freq    : 52.6822
Metric avg si_sdr     : 9.0658
Train epoch: 170 Learning rate: 4.88346194947392e-06
Training loss: 0.093825
Instr dry sdr: 13.0661 (Std: 4.8525)
Instr dry l1_freq: 53.1495 (Std: 14.9630)
Instr dry si_sdr: 12.3687 (Std: 6.2087)
Instr other sdr: 6.8300 (Std: 3.3398)
Instr other l1_freq: 52.6276 (Std: 13.4359)
Instr other si_sdr: 6.0311 (Std: 3.4032)
Metric avg sdr        : 9.9481
Metric avg l1_freq    : 52.8886
Metric avg si_sdr     : 9.1999
Train epoch: 171 Learning rate: 4.88346194947392e-06
Training loss: 0.093724
Instr dry sdr: 13.1031 (Std: 4.7939)
Instr dry l1_freq: 53.2780 (Std: 14.8401)
Instr dry si_sdr: 12.4540 (Std: 6.0211)
Instr other sdr: 6.8673 (Std: 3.2787)
Instr other l1_freq: 52.7146 (Std: 13.2905)
Instr other si_sdr: 6.0661 (Std: 3.3589)
Metric avg sdr        : 9.9852
Metric avg l1_freq    : 52.9963
Metric avg si_sdr     : 9.2600
Train epoch: 172 Learning rate: 4.639288852000224e-06
Training loss: 0.092525
Instr dry sdr: 12.9381 (Std: 4.9911)
Instr dry l1_freq: 52.8903 (Std: 15.2267)
Instr dry si_sdr: 12.0534 (Std: 6.8457)
Instr other sdr: 6.7037 (Std: 3.5046)
Instr other l1_freq: 52.3353 (Std: 13.6947)
Instr other si_sdr: 5.9037 (Std: 3.5301)
Metric avg sdr        : 9.8209
Metric avg l1_freq    : 52.6128
Metric avg si_sdr     : 8.9786
Train epoch: 173 Learning rate: 4.639288852000224e-06
Training loss: 0.093124
Instr dry sdr: 12.9824 (Std: 4.9425)
Instr dry l1_freq: 52.9453 (Std: 15.1376)
Instr dry si_sdr: 12.1760 (Std: 6.5795)
Instr other sdr: 6.7494 (Std: 3.4530)
Instr other l1_freq: 52.4448 (Std: 13.6078)
Instr other si_sdr: 5.9532 (Std: 3.4866)
Metric avg sdr        : 9.8659
Metric avg l1_freq    : 52.6951
Metric avg si_sdr     : 9.0646
Train epoch: 174 Learning rate: 4.639288852000224e-06
Training loss: 0.097429
Instr dry sdr: 12.8439 (Std: 5.1313)
Instr dry l1_freq: 52.6034 (Std: 15.4667)
Instr dry si_sdr: 11.7080 (Std: 7.6385)
Instr other sdr: 6.6100 (Std: 3.6477)
Instr other l1_freq: 52.0806 (Std: 13.9462)
Instr other si_sdr: 5.8138 (Std: 3.6422)
Metric avg sdr        : 9.7269
Metric avg l1_freq    : 52.3420
Metric avg si_sdr     : 8.7609
Train epoch: 175 Learning rate: 4.407324409400213e-06
Training loss: 0.095886
Instr dry sdr: 12.9012 (Std: 5.1151)
Instr dry l1_freq: 52.6466 (Std: 15.4250)
Instr dry si_sdr: 11.8163 (Std: 7.5033)
Instr other sdr: 6.6675 (Std: 3.6232)
Instr other l1_freq: 52.2440 (Std: 13.9307)
Instr other si_sdr: 5.8780 (Std: 3.6207)
Metric avg sdr        : 9.7844
Metric avg l1_freq    : 52.4453
Metric avg si_sdr     : 8.8472
Train epoch: 176 Learning rate: 4.407324409400213e-06
Training loss: 0.098037
Instr dry sdr: 12.9997 (Std: 4.9698)
Instr dry l1_freq: 53.0118 (Std: 15.2028)
Instr dry si_sdr: 12.1703 (Std: 6.6775)
Instr other sdr: 6.7685 (Std: 3.4791)
Instr other l1_freq: 52.4436 (Std: 13.6768)
Instr other si_sdr: 5.9799 (Std: 3.5082)
Metric avg sdr        : 9.8841
Metric avg l1_freq    : 52.7277
Metric avg si_sdr     : 9.0751
Train epoch: 177 Learning rate: 4.407324409400213e-06
Training loss: 0.091857
Instr dry sdr: 13.0062 (Std: 4.9606)
Instr dry l1_freq: 52.9682 (Std: 15.1650)
Instr dry si_sdr: 12.1977 (Std: 6.6035)
Instr other sdr: 6.7729 (Std: 3.4661)
Instr other l1_freq: 52.4945 (Std: 13.6502)
Instr other si_sdr: 5.9841 (Std: 3.4967)
Metric avg sdr        : 9.8896
Metric avg l1_freq    : 52.7313
Metric avg si_sdr     : 9.0909
Train epoch: 178 Learning rate: 4.1869581889302025e-06
Training loss: 0.098096
Instr dry sdr: 12.9103 (Std: 5.0752)
Instr dry l1_freq: 52.7613 (Std: 15.3833)
Instr dry si_sdr: 11.8924 (Std: 7.2792)
Instr other sdr: 6.6783 (Std: 3.5937)
Instr other l1_freq: 52.2686 (Std: 13.8729)
Instr other si_sdr: 5.8899 (Std: 3.5947)
Metric avg sdr        : 9.7943
Metric avg l1_freq    : 52.5150
Metric avg si_sdr     : 8.8912
Train epoch: 179 Learning rate: 4.1869581889302025e-06
Training loss: 0.090818
Instr dry sdr: 12.9573 (Std: 5.0339)
Instr dry l1_freq: 52.8341 (Std: 15.3070)
Instr dry si_sdr: 12.0437 (Std: 6.9474)
Instr other sdr: 6.7252 (Std: 3.5486)
Instr other l1_freq: 52.3729 (Std: 13.7904)
Instr other si_sdr: 5.9393 (Std: 3.5573)
Metric avg sdr        : 9.8412
Metric avg l1_freq    : 52.6035
Metric avg si_sdr     : 8.9915
Train epoch: 180 Learning rate: 4.1869581889302025e-06
Training loss: 0.092787
Instr dry sdr: 13.0645 (Std: 4.8733)
Instr dry l1_freq: 53.1646 (Std: 15.0069)
Instr dry si_sdr: 12.3598 (Std: 6.2420)
Instr other sdr: 6.8317 (Std: 3.3670)
Instr other l1_freq: 52.6292 (Std: 13.4452)
Instr other si_sdr: 6.0409 (Std: 3.4202)
Metric avg sdr        : 9.9481
Metric avg l1_freq    : 52.8969
Metric avg si_sdr     : 9.2003
Train epoch: 181 Learning rate: 3.977610279483693e-06
Training loss: 0.098106
Instr dry sdr: 13.0562 (Std: 4.8652)
Instr dry l1_freq: 53.1336 (Std: 14.9775)
Instr dry si_sdr: 12.3658 (Std: 6.1905)
Instr other sdr: 6.8223 (Std: 3.3560)
Instr other l1_freq: 52.5849 (Std: 13.4299)
Instr other si_sdr: 6.0296 (Std: 3.4127)
Metric avg sdr        : 9.9393
Metric avg l1_freq    : 52.8593
Metric avg si_sdr     : 9.1977
Train epoch: 182 Learning rate: 3.977610279483693e-06
Training loss: 0.091860
Instr dry sdr: 13.0554 (Std: 4.9438)
Instr dry l1_freq: 53.0550 (Std: 15.1489)
Instr dry si_sdr: 12.2779 (Std: 6.5097)
Instr other sdr: 6.8257 (Std: 3.4539)
Instr other l1_freq: 52.5838 (Std: 13.6336)
Instr other si_sdr: 6.0443 (Std: 3.4877)
Metric avg sdr        : 9.9406
Metric avg l1_freq    : 52.8194
Metric avg si_sdr     : 9.1611
Train epoch: 183 Learning rate: 3.977610279483693e-06
Training loss: 0.093953
Instr dry sdr: 13.0706 (Std: 4.9253)
Instr dry l1_freq: 53.1449 (Std: 15.1201)
Instr dry si_sdr: 12.3207 (Std: 6.4185)
Instr other sdr: 6.8401 (Std: 3.4303)
Instr other l1_freq: 52.6158 (Std: 13.5921)
Instr other si_sdr: 6.0593 (Std: 3.4694)
Metric avg sdr        : 9.9554
Metric avg l1_freq    : 52.8804
Metric avg si_sdr     : 9.1900
Train epoch: 184 Learning rate: 3.778729765509508e-06
Training loss: 0.092398
Instr dry sdr: 12.9325 (Std: 5.1393)
Instr dry l1_freq: 52.6756 (Std: 15.4664)
Instr dry si_sdr: 11.8159 (Std: 7.6263)
Instr other sdr: 6.7009 (Std: 3.6478)
Instr other l1_freq: 52.2670 (Std: 13.9723)
Instr other si_sdr: 5.9239 (Std: 3.6360)
Metric avg sdr        : 9.8167
Metric avg l1_freq    : 52.4713
Metric avg si_sdr     : 8.8699
Train epoch: 185 Learning rate: 3.778729765509508e-06
Training loss: 0.096717
Instr dry sdr: 13.0490 (Std: 4.9449)
Instr dry l1_freq: 53.0591 (Std: 15.1325)
Instr dry si_sdr: 12.2904 (Std: 6.4531)
Instr other sdr: 6.8182 (Std: 3.4383)
Instr other l1_freq: 52.6409 (Std: 13.6066)
Instr other si_sdr: 6.0330 (Std: 3.4746)
Metric avg sdr        : 9.9336
Metric avg l1_freq    : 52.8500
Metric avg si_sdr     : 9.1617
Train epoch: 186 Learning rate: 3.778729765509508e-06
Training loss: 0.090671
Instr dry sdr: 12.9600 (Std: 5.0693)
Instr dry l1_freq: 52.8589 (Std: 15.3583)
Instr dry si_sdr: 11.9827 (Std: 7.1793)
Instr other sdr: 6.7297 (Std: 3.5853)
Instr other l1_freq: 52.3399 (Std: 13.8491)
Instr other si_sdr: 5.9496 (Std: 3.5872)
Metric avg sdr        : 9.8448
Metric avg l1_freq    : 52.5994
Metric avg si_sdr     : 8.9661
Train epoch: 187 Learning rate: 3.5897932772340322e-06
Training loss: 0.093142
Instr dry sdr: 12.9661 (Std: 5.0599)
Instr dry l1_freq: 52.8261 (Std: 15.3346)
Instr dry si_sdr: 12.0146 (Std: 7.0952)
Instr other sdr: 6.7368 (Std: 3.5686)
Instr other l1_freq: 52.4203 (Std: 13.8399)
Instr other si_sdr: 5.9544 (Std: 3.5748)
Metric avg sdr        : 9.8515
Metric avg l1_freq    : 52.6232
Metric avg si_sdr     : 8.9845
Train epoch: 188 Learning rate: 3.5897932772340322e-06
Training loss: 0.090606
Instr dry sdr: 12.9711 (Std: 5.0377)
Instr dry l1_freq: 52.8756 (Std: 15.3093)
Instr dry si_sdr: 12.0522 (Std: 6.9833)
Instr other sdr: 6.7401 (Std: 3.5500)
Instr other l1_freq: 52.3409 (Std: 13.7953)
Instr other si_sdr: 5.9555 (Std: 3.5622)
Metric avg sdr        : 9.8556
Metric avg l1_freq    : 52.6082
Metric avg si_sdr     : 9.0039
Train epoch: 189 Learning rate: 3.5897932772340322e-06
Training loss: 0.092085
Instr dry sdr: 12.8997 (Std: 5.1578)
Instr dry l1_freq: 52.5542 (Std: 15.4780)
Instr dry si_sdr: 11.7110 (Std: 7.8564)
Instr other sdr: 6.6677 (Std: 3.6722)
Instr other l1_freq: 52.2427 (Std: 13.9940)
Instr other si_sdr: 5.8874 (Std: 3.6602)
Metric avg sdr        : 9.7837
Metric avg l1_freq    : 52.3984
Metric avg si_sdr     : 8.7992
Train epoch: 190 Learning rate: 3.4103036133723303e-06
Training loss: 0.093211
Instr dry sdr: 12.9938 (Std: 5.0237)
Instr dry l1_freq: 52.8923 (Std: 15.2859)
Instr dry si_sdr: 12.0941 (Std: 6.9351)
Instr other sdr: 6.7622 (Std: 3.5370)
Instr other l1_freq: 52.4834 (Std: 13.7856)
Instr other si_sdr: 5.9802 (Std: 3.5492)
Metric avg sdr        : 9.8780
Metric avg l1_freq    : 52.6879
Metric avg si_sdr     : 9.0371
Train epoch: 191 Learning rate: 3.4103036133723303e-06
Training loss: 0.093054
Instr dry sdr: 12.9460 (Std: 5.0873)
Instr dry l1_freq: 52.7413 (Std: 15.3860)
Instr dry si_sdr: 11.9249 (Std: 7.3263)
Instr other sdr: 6.7154 (Std: 3.6001)
Instr other l1_freq: 52.3403 (Std: 13.8921)
Instr other si_sdr: 5.9341 (Std: 3.6000)
Metric avg sdr        : 9.8307
Metric avg l1_freq    : 52.5408
Metric avg si_sdr     : 8.9295
Train epoch: 192 Learning rate: 3.4103036133723303e-06
Training loss: 0.094299
Instr dry sdr: 12.9910 (Std: 5.0396)
Instr dry l1_freq: 52.9021 (Std: 15.3228)
Instr dry si_sdr: 12.0614 (Std: 7.0331)
Instr other sdr: 6.7601 (Std: 3.5478)
Instr other l1_freq: 52.4129 (Std: 13.7910)
Instr other si_sdr: 5.9815 (Std: 3.5567)
Metric avg sdr        : 9.8756
Metric avg l1_freq    : 52.6575
Metric avg si_sdr     : 9.0214
Train epoch: 193 Learning rate: 3.2397884327037135e-06
Training loss: 0.099640
Instr dry sdr: 12.9444 (Std: 5.0973)
Instr dry l1_freq: 52.7317 (Std: 15.4063)
Instr dry si_sdr: 11.9180 (Std: 7.3313)
Instr other sdr: 6.7131 (Std: 3.6097)
Instr other l1_freq: 52.3779 (Std: 13.9158)
Instr other si_sdr: 5.9322 (Std: 3.6066)
Metric avg sdr        : 9.8287
Metric avg l1_freq    : 52.5548
Metric avg si_sdr     : 8.9251
Train epoch: 194 Learning rate: 3.2397884327037135e-06
Training loss: 0.095810
Instr dry sdr: 13.0026 (Std: 4.9771)
Instr dry l1_freq: 53.0306 (Std: 15.2164)
Instr dry si_sdr: 12.1626 (Std: 6.7231)
Instr other sdr: 6.7734 (Std: 3.4885)
Instr other l1_freq: 52.5501 (Std: 13.6774)
Instr other si_sdr: 5.9869 (Std: 3.5131)
Metric avg sdr        : 9.8880
Metric avg l1_freq    : 52.7903
Metric avg si_sdr     : 9.0747
Train epoch: 195 Learning rate: 3.2397884327037135e-06
Training loss: 0.094791
Instr dry sdr: 13.0254 (Std: 4.9660)
Instr dry l1_freq: 53.1081 (Std: 15.2067)
Instr dry si_sdr: 12.2018 (Std: 6.6747)
Instr other sdr: 6.7945 (Std: 3.4757)
Instr other l1_freq: 52.5520 (Std: 13.6617)
Instr other si_sdr: 6.0107 (Std: 3.5039)
Metric avg sdr        : 9.9100
Metric avg l1_freq    : 52.8300
Metric avg si_sdr     : 9.1063
Train epoch: 196 Learning rate: 3.077799011068528e-06
Training loss: 0.094022
Instr dry sdr: 12.9993 (Std: 5.0386)
Instr dry l1_freq: 52.9897 (Std: 15.3230)
Instr dry si_sdr: 12.0766 (Std: 7.0081)
Instr other sdr: 6.7706 (Std: 3.5526)
Instr other l1_freq: 52.5178 (Std: 13.8153)
Instr other si_sdr: 5.9919 (Std: 3.5632)
Metric avg sdr        : 9.8849
Metric avg l1_freq    : 52.7538
Metric avg si_sdr     : 9.0343
Train epoch: 197 Learning rate: 3.077799011068528e-06
Training loss: 0.089808
Instr dry sdr: 12.9030 (Std: 5.1382)
Instr dry l1_freq: 52.6801 (Std: 15.4695)
Instr dry si_sdr: 11.7579 (Std: 7.6938)
Instr other sdr: 6.6722 (Std: 3.6608)
Instr other l1_freq: 52.2401 (Std: 13.9689)
Instr other si_sdr: 5.8911 (Std: 3.6494)
Metric avg sdr        : 9.7876
Metric avg l1_freq    : 52.4601
Metric avg si_sdr     : 8.8245
Train epoch: 198 Learning rate: 3.077799011068528e-06
Training loss: 0.096411
Instr dry sdr: 12.9705 (Std: 5.0528)
Instr dry l1_freq: 52.8596 (Std: 15.3333)
Instr dry si_sdr: 12.0465 (Std: 6.9944)
Instr other sdr: 6.7392 (Std: 3.5682)
Instr other l1_freq: 52.4578 (Std: 13.8326)
Instr other si_sdr: 5.9563 (Std: 3.5730)
Metric avg sdr        : 9.8548
Metric avg l1_freq    : 52.6587
Metric avg si_sdr     : 9.0014
Train epoch: 199 Learning rate: 2.9239090605151014e-06
Training loss: 0.089098
Instr dry sdr: 12.9623 (Std: 5.0550)
Instr dry l1_freq: 52.8382 (Std: 15.3452)
Instr dry si_sdr: 12.0264 (Std: 7.0291)
Instr other sdr: 6.7334 (Std: 3.5707)
Instr other l1_freq: 52.3943 (Std: 13.8395)
Instr other si_sdr: 5.9517 (Std: 3.5752)
Metric avg sdr        : 9.8479
Metric avg l1_freq    : 52.6162
Metric avg si_sdr     : 8.9891
Train epoch: 200 Learning rate: 2.9239090605151014e-06
Training loss: 0.098282
Instr dry sdr: 13.0326 (Std: 4.9732)
Instr dry l1_freq: 53.0502 (Std: 15.1913)
Instr dry si_sdr: 12.2395 (Std: 6.5679)
Instr other sdr: 6.8032 (Std: 3.4785)
Instr other l1_freq: 52.5799 (Std: 13.6677)
Instr other si_sdr: 6.0207 (Std: 3.5036)
Metric avg sdr        : 9.9179
Metric avg l1_freq    : 52.8151
Metric avg si_sdr     : 9.1301
Train epoch: 201 Learning rate: 2.9239090605151014e-06
Training loss: 0.087879
Instr dry sdr: 12.9945 (Std: 5.0327)
Instr dry l1_freq: 52.9379 (Std: 15.2901)
Instr dry si_sdr: 12.1233 (Std: 6.8245)
Instr other sdr: 6.7651 (Std: 3.5438)
Instr other l1_freq: 52.4752 (Std: 13.7720)
Instr other si_sdr: 5.9853 (Std: 3.5541)
Metric avg sdr        : 9.8798
Metric avg l1_freq    : 52.7065
Metric avg si_sdr     : 9.0543
Train epoch: 202 Learning rate: 2.777713607489346e-06
Training loss: 0.090894
Instr dry sdr: 13.0100 (Std: 5.0205)
Instr dry l1_freq: 52.9811 (Std: 15.2788)
Instr dry si_sdr: 12.1530 (Std: 6.7770)
Instr other sdr: 6.7815 (Std: 3.5375)
Instr other l1_freq: 52.5304 (Std: 13.7598)
Instr other si_sdr: 6.0045 (Std: 3.5471)
Metric avg sdr        : 9.8958
Metric avg l1_freq    : 52.7557
Metric avg si_sdr     : 9.0787
Train epoch: 203 Learning rate: 2.777713607489346e-06
Training loss: 0.088920
Instr dry sdr: 13.0696 (Std: 4.9347)
Instr dry l1_freq: 53.1452 (Std: 15.1341)
Instr dry si_sdr: 12.3204 (Std: 6.4161)
Instr other sdr: 6.8407 (Std: 3.4438)
Instr other l1_freq: 52.6320 (Std: 13.5918)
Instr other si_sdr: 6.0610 (Std: 3.4786)
Metric avg sdr        : 9.9551
Metric avg l1_freq    : 52.8886
Metric avg si_sdr     : 9.1907
Train epoch: 204 Learning rate: 2.777713607489346e-06
Training loss: 0.090892
Instr dry sdr: 13.0883 (Std: 4.9306)
Instr dry l1_freq: 53.1626 (Std: 15.1372)
Instr dry si_sdr: 12.3271 (Std: 6.4656)
Instr other sdr: 6.8572 (Std: 3.4362)
Instr other l1_freq: 52.6256 (Std: 13.6013)
Instr other si_sdr: 6.0819 (Std: 3.4702)
Metric avg sdr        : 9.9728
Metric avg l1_freq    : 52.8941
Metric avg si_sdr     : 9.2045
Train epoch: 205 Learning rate: 2.6388279271148787e-06
Training loss: 0.091701
Instr dry sdr: 13.0661 (Std: 4.9780)
Instr dry l1_freq: 53.1265 (Std: 15.2127)
Instr dry si_sdr: 12.2558 (Std: 6.6377)
Instr other sdr: 6.8350 (Std: 3.4867)
Instr other l1_freq: 52.6264 (Std: 13.6752)
Instr other si_sdr: 6.0612 (Std: 3.5109)
Metric avg sdr        : 9.9505
Metric avg l1_freq    : 52.8764
Metric avg si_sdr     : 9.1585
Train epoch: 206 Learning rate: 2.6388279271148787e-06
Training loss: 0.090879
Instr dry sdr: 12.9585 (Std: 5.1246)
Instr dry l1_freq: 52.7450 (Std: 15.4385)
Instr dry si_sdr: 11.8962 (Std: 7.4500)
Instr other sdr: 6.7270 (Std: 3.6377)
Instr other l1_freq: 52.3973 (Std: 13.9477)
Instr other si_sdr: 5.9538 (Std: 3.6284)
Metric avg sdr        : 9.8427
Metric avg l1_freq    : 52.5711
Metric avg si_sdr     : 8.9250
Train epoch: 207 Learning rate: 2.6388279271148787e-06
Training loss: 0.095157
Instr dry sdr: 12.9809 (Std: 5.0754)
Instr dry l1_freq: 52.8825 (Std: 15.3618)
Instr dry si_sdr: 12.0220 (Std: 7.1175)
Instr other sdr: 6.7499 (Std: 3.5911)
Instr other l1_freq: 52.4251 (Std: 13.8466)
Instr other si_sdr: 5.9755 (Std: 3.5914)
Metric avg sdr        : 9.8654
Metric avg l1_freq    : 52.6538
Metric avg si_sdr     : 8.9987
Train epoch: 208 Learning rate: 2.5068865307591348e-06
Training loss: 0.097233
Instr dry sdr: 12.8730 (Std: 5.1897)
Instr dry l1_freq: 52.4444 (Std: 15.5242)
Instr dry si_sdr: 11.6652 (Std: 7.8875)
Instr other sdr: 6.6421 (Std: 3.7050)
Instr other l1_freq: 52.1159 (Std: 14.0080)
Instr other si_sdr: 5.8584 (Std: 3.6978)
Metric avg sdr        : 9.7575
Metric avg l1_freq    : 52.2802
Metric avg si_sdr     : 8.7618
Train epoch: 209 Learning rate: 2.5068865307591348e-06
Training loss: 0.095122
Instr dry sdr: 12.8892 (Std: 5.1783)
Instr dry l1_freq: 52.5212 (Std: 15.5039)
Instr dry si_sdr: 11.7113 (Std: 7.7958)
Instr other sdr: 6.6589 (Std: 3.6976)
Instr other l1_freq: 52.2186 (Std: 13.9996)
Instr other si_sdr: 5.8758 (Std: 3.6899)
Metric avg sdr        : 9.7741
Metric avg l1_freq    : 52.3699
Metric avg si_sdr     : 8.7936
Train epoch: 210 Learning rate: 2.5068865307591348e-06
Training loss: 0.089211
Instr dry sdr: 12.9099 (Std: 5.1559)
Instr dry l1_freq: 52.5873 (Std: 15.4712)
Instr dry si_sdr: 11.7934 (Std: 7.6123)
Instr other sdr: 6.6795 (Std: 3.6688)
Instr other l1_freq: 52.3068 (Std: 13.9848)
Instr other si_sdr: 5.8986 (Std: 3.6603)
Metric avg sdr        : 9.7947
Metric avg l1_freq    : 52.4471
Metric avg si_sdr     : 8.8460
Train epoch: 211 Learning rate: 2.381542204221178e-06
Training loss: 0.089044
Instr dry sdr: 12.9820 (Std: 5.0812)
Instr dry l1_freq: 52.8154 (Std: 15.3662)
Instr dry si_sdr: 12.0162 (Std: 7.1432)
Instr other sdr: 6.7530 (Std: 3.5918)
Instr other l1_freq: 52.4064 (Std: 13.8646)
Instr other si_sdr: 5.9778 (Std: 3.5935)
Metric avg sdr        : 9.8675
Metric avg l1_freq    : 52.6109
Metric avg si_sdr     : 8.9970
Train epoch: 212 Learning rate: 2.381542204221178e-06
Training loss: 0.096083
Instr dry sdr: 12.9687 (Std: 5.0974)
Instr dry l1_freq: 52.7944 (Std: 15.3968)
Instr dry si_sdr: 11.9689 (Std: 7.2526)
Instr other sdr: 6.7396 (Std: 3.6083)
Instr other l1_freq: 52.3940 (Std: 13.8941)
Instr other si_sdr: 5.9640 (Std: 3.6065)
Metric avg sdr        : 9.8542
Metric avg l1_freq    : 52.5942
Metric avg si_sdr     : 8.9664
Train epoch: 213 Learning rate: 2.381542204221178e-06
Training loss: 0.090508
Instr dry sdr: 12.9640 (Std: 5.1021)
Instr dry l1_freq: 52.7599 (Std: 15.4043)
Instr dry si_sdr: 11.9621 (Std: 7.2544)
Instr other sdr: 6.7350 (Std: 3.6160)
Instr other l1_freq: 52.3958 (Std: 13.9046)
Instr other si_sdr: 5.9594 (Std: 3.6121)
Metric avg sdr        : 9.8495
Metric avg l1_freq    : 52.5779
Metric avg si_sdr     : 8.9608
Train epoch: 214 Learning rate: 2.262465094010119e-06
Training loss: 0.088221
Instr dry sdr: 12.9630 (Std: 5.1008)
Instr dry l1_freq: 52.7650 (Std: 15.3975)
Instr dry si_sdr: 11.9661 (Std: 7.2363)
Instr other sdr: 6.7336 (Std: 3.6175)
Instr other l1_freq: 52.3711 (Std: 13.8972)
Instr other si_sdr: 5.9574 (Std: 3.6153)
Metric avg sdr        : 9.8483
Metric avg l1_freq    : 52.5680
Metric avg si_sdr     : 8.9618
Train epoch: 215 Learning rate: 2.262465094010119e-06
Training loss: 0.094517
Instr dry sdr: 12.9718 (Std: 5.1046)
Instr dry l1_freq: 52.7098 (Std: 15.3992)
Instr dry si_sdr: 11.9743 (Std: 7.2457)
Instr other sdr: 6.7441 (Std: 3.6193)
Instr other l1_freq: 52.4082 (Std: 13.9162)
Instr other si_sdr: 5.9692 (Std: 3.6165)
Metric avg sdr        : 9.8580
Metric avg l1_freq    : 52.5590
Metric avg si_sdr     : 8.9718
Train epoch: 216 Learning rate: 2.262465094010119e-06
Training loss: 0.094498
Instr dry sdr: 12.9965 (Std: 5.0813)
Instr dry l1_freq: 52.8448 (Std: 15.3691)
Instr dry si_sdr: 12.0471 (Std: 7.0910)
Instr other sdr: 6.7677 (Std: 3.5996)
Instr other l1_freq: 52.4100 (Std: 13.8670)
Instr other si_sdr: 5.9949 (Std: 3.6015)
Metric avg sdr        : 9.8821
Metric avg l1_freq    : 52.6274
Metric avg si_sdr     : 9.0210
Train epoch: 217 Learning rate: 2.1493418393096127e-06
Training loss: 0.090574
Instr dry sdr: 13.0157 (Std: 5.0651)
Instr dry l1_freq: 52.8412 (Std: 15.3343)
Instr dry si_sdr: 12.1058 (Std: 6.9677)
Instr other sdr: 6.7868 (Std: 3.5797)
Instr other l1_freq: 52.5147 (Std: 13.8538)
Instr other si_sdr: 6.0139 (Std: 3.5843)
Metric avg sdr        : 9.9012
Metric avg l1_freq    : 52.6779
Metric avg si_sdr     : 9.0599
Train epoch: 218 Learning rate: 2.1493418393096127e-06
Training loss: 0.095987
Instr dry sdr: 13.1272 (Std: 4.8777)
Instr dry l1_freq: 53.2347 (Std: 14.9888)
Instr dry si_sdr: 12.4565 (Std: 6.1439)
Instr other sdr: 6.8968 (Std: 3.3798)
Instr other l1_freq: 52.7438 (Std: 13.4634)
Instr other si_sdr: 6.1177 (Std: 3.4341)
Metric avg sdr        : 10.0120
Metric avg l1_freq    : 52.9893
Metric avg si_sdr     : 9.2871
Train epoch: 219 Learning rate: 2.1493418393096127e-06
Training loss: 0.097191
Instr dry sdr: 12.9955 (Std: 5.0869)
Instr dry l1_freq: 52.8392 (Std: 15.3718)
Instr dry si_sdr: 12.0471 (Std: 7.0882)
Instr other sdr: 6.7699 (Std: 3.6042)
Instr other l1_freq: 52.4275 (Std: 13.8716)
Instr other si_sdr: 5.9983 (Std: 3.6054)
Metric avg sdr        : 9.8827
Metric avg l1_freq    : 52.6334
Metric avg si_sdr     : 9.0227
Train epoch: 220 Learning rate: 2.041874747344132e-06
Training loss: 0.090682
Instr dry sdr: 13.0097 (Std: 5.0718)
Instr dry l1_freq: 52.8619 (Std: 15.3403)
Instr dry si_sdr: 12.0965 (Std: 6.9746)
Instr other sdr: 6.7831 (Std: 3.5878)
Instr other l1_freq: 52.5006 (Std: 13.8541)
Instr other si_sdr: 6.0114 (Std: 3.5907)
Metric avg sdr        : 9.8964
Metric avg l1_freq    : 52.6813
Metric avg si_sdr     : 9.0540