调整学习率和训练轮数,更新学习率调度器的总迭代次数,优化优化器配置
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@ -4,8 +4,8 @@ scheduler_type: LINEAR_WARMUP_THEN_POLY_SCHEDULER
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kwargs: |
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{
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"warmup_iters": 5808,
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"total_iters": 580800,
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"total_iters": 290400,
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"warmup_ratio": 0.000001,
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"min_lr": 0.00000,
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"min_lr": 0.,
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"power": 1.
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}
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@ -3,7 +3,7 @@ base_config:
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optim_type: AdamW
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kwargs: |
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{
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"lr": 0.006,
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"lr": 0.0006,
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"weight_decay": 0.01,
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"betas": (0.9, 0.999)
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}
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@ -3,7 +3,7 @@ batch_size: 16
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image_height: 200
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image_width: 200
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workers: 0
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epochs: 200
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epochs: 100
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# 每一类的占比权重,如果要让每一类的占比权重相同,为1.0即可
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weight:
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