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50 epoch training w eval
Browse files- Notebooks/SavtaDepth_Colab.ipynb +0 -0
- Notebooks/SavtaDepth_sanity_check.ipynb +0 -0
- dvc.lock +11 -11
- logs/test_metrics.csv +9 -9
- logs/train_metrics.csv +0 -0
- logs/train_params.yml +1 -1
- src/code/params.yml +1 -1
Notebooks/SavtaDepth_Colab.ipynb
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Notebooks/SavtaDepth_sanity_check.ipynb
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dvc.lock
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@@ -23,7 +23,7 @@ train:
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md5:
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eval:
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logs/test_metrics.csv
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Name,Value,Timestamp,Step
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"a1",0.
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"a2",0.
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"a3",0.
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"abs_rel",0.
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"sq_rel",0.
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"rmse",0.
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"rmse_log",0.
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"log10",0.
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"silog",
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Name,Value,Timestamp,Step
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"a1",0.6736493,1615292013951,1
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"a2",0.9112526,1615292013951,1
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"a3",0.975165,1615292013951,1
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"abs_rel",0.21377242,1615292013951,1
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"sq_rel",0.18530104,1615292013951,1
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"silog",20.038778,1615292013951,1
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logs/train_metrics.csv
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logs/train_params.yml
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DAGsHubLogger: true
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Learner: <fastai.learner.Learner object at
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ParamScheduler: true
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ProgressCallback: true
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Recorder: {add_time: true, train_metrics: false, valid_metrics: true}
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DAGsHubLogger: true
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+
Learner: <fastai.learner.Learner object at 0x7fcf56717fd0>
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ParamScheduler: true
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ProgressCallback: true
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Recorder: {add_time: true, train_metrics: false, valid_metrics: true}
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src/code/params.yml
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@@ -4,7 +4,7 @@ batch_size: 4
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num_workers: 0
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weight_decay: 1e-2
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learning_rate: 1e-3
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epochs:
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num_outs: 3
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source_dir: src
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model_dir: models
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num_workers: 0
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weight_decay: 1e-2
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learning_rate: 1e-3
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epochs: 50
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num_outs: 3
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source_dir: src
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model_dir: models
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