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