modelscope-funasr这里面参数怎么看训练效果是好还是不好?[2024-04-25 06:57:22,803][root][INFO] - val, rank: 0, epoch: 8/20, data_slice: 0/1, step: 1/1, total step: 9, (loss_avg_rank: 0.965), (loss_avg_epoch: 0.965), (ppl_avg_epoch: 2.625e+00), (acc_avg_epoch: 0.507), (lr: 0.000e+00), [('loss_att', 0.77), ('acc', 0.507), ('loss_pre', 0.195), ('loss', 0.965), ('batch_size', 10)], {'data_load': '0.255', 'forward_time': '0.129'}, GPU, memory: usage: 2.558 GB, peak: 4.315 GB, cache: 4.477 GB, cache_peak: 4.477 GB
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loss能够正常收敛到较低值之后可以看acc,越高越好,最后还是以解码结果为主。你这个训练数据看起来很少。此回答整理自钉群“modelscope-funasr社区交流”