| 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 |