如何确定模型训练好了

[lmc2000]

在该模型的训练过程中，采用
2024-07-24 10:32:17,498 - mmedit - INFO - Iter(val) [262000]
2024-07-24 10:32:23,660 - mmedit - INFO - Iter [262100/300000] lr_generator: 7.783e-05, eta: 1:30:52, time: 0.964, data_time: 0.926, memory: 808, loss_pix: 0.0056, loss: 0.0056
2024-07-24 10:32:29,773 - mmedit - INFO - Iter [262200/300000] lr_generator: 7.743e-05, eta: 1:30:37, time: 0.061, data_time: 0.023, memory: 808, loss_pix: 0.0058, loss: 0.0058
2024-07-24 10:32:35,682 - mmedit - INFO - Iter [262300/300000] lr_generator: 7.702e-05, eta: 1:30:21, time: 0.059, data_time: 0.022, memory: 808, loss_pix: 0.0064, loss: 0.0064
2024-07-24 10:32:42,025 - mmedit - INFO - Iter [262400/300000] lr_generator: 7.662e-05, eta: 1:30:06, time: 0.063, data_time: 0.024, memory: 808, loss_pix: 0.0049, loss: 0.0049
2024-07-24 10:32:47,888 - mmedit - INFO - Iter [262500/300000] lr_generator: 7.622e-05, eta: 1:29:50, time: 0.059, data_time: 0.023, memory: 808, loss_pix: 0.0065, loss: 0.0065
2024-07-24 10:32:53,844 - mmedit - INFO - Iter [262600/300000] lr_generator: 7.582e-05, eta: 1:29:35, time: 0.060, data_time: 0.022, memory: 808, loss_pix: 0.0077, loss: 0.0077
2024-07-24 10:32:59,860 - mmedit - INFO - Iter [262700/300000] lr_generator: 7.542e-05, eta: 1:29:19, time: 0.060, data_time: 0.022, memory: 808, loss_pix: 0.0071, loss: 0.0071
2024-07-24 10:33:05,857 - mmedit - INFO - Iter [262800/300000] lr_generator: 7.502e-05, eta: 1:29:03, time: 0.060, data_time: 0.024, memory: 808, loss_pix: 0.0062, loss: 0.0062
2024-07-24 10:33:12,004 - mmedit - INFO - Iter [262900/300000] lr_generator: 7.463e-05, eta: 1:28:48, time: 0.061, data_time: 0.023, memory: 808, loss_pix: 0.0052, loss: 0.0052
2024-07-24 10:34:51,582 - mmedit - INFO - Exp name: clipiqa_coop_koniq
2024-07-24 10:34:51,582 - mmedit - INFO - Iter(val) [263000] L1DIS: 0.0579
之前的模型保存均为loss最小或者val准确率最大，目前该模型的训练指标是啥