Standarized/Fixed Config eval_batch_step parm/desc
This commit is contained in:
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601954348b
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/cls/mv3/
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 1000 iterations after the 0th iteration
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eval_batch_step: [0, 1000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 2
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save_model_dir: ./output/ch_db_mv3/
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save_epoch_step: 1200
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 3000th iteration
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eval_batch_step: [3000, 2000]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/ch_PP-OCRv2_det_distill_train/best_accuracy
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 2
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save_model_dir: ./output/ch_db_mv3/
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save_epoch_step: 1200
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 3000th iteration
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eval_batch_step: [3000, 2000]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 2
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save_model_dir: ./output/ch_db_mv3/
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save_epoch_step: 1200
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 3000th iteration
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eval_batch_step: [3000, 2000]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/ch_db_mv3/
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save_epoch_step: 1200
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 400 iterations after the 0th iteration
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eval_batch_step: [0, 400]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/student.pdparams
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 2
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save_model_dir: ./output/ch_db_mv3/
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save_epoch_step: 1200
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 3000th iteration
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eval_batch_step: [3000, 2000]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 2
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save_model_dir: ./output/ch_db_res18/
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save_epoch_step: 1200
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 3000th iteration
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eval_batch_step: [3000, 2000]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/ResNet18_vd_pretrained
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/db_mv3/
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save_epoch_step: 1200
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# evaluation is run every 2000 iterations
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
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@ -5,8 +5,8 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/det_r50_vd/
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save_epoch_step: 1200
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# evaluation is run every 2000 iterations
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eval_batch_step: [0,2000]
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: False
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pretrained_model: ./pretrain_models/ResNet50_vd_ssld_pretrained
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checkpoints:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/pgnet_r50_vd_totaltext/
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save_epoch_step: 10
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# evaluation is run every 0 iterationss after the 1000th iteration
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# evaluation is run every 1000 iterationss after the 0th iteration
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eval_batch_step: [ 0, 1000 ]
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cal_metric_during_train: False
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pretrained_model:
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@ -6,6 +6,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_mobile_pp-OCRv2
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save_epoch_step: 3
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: true
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pretrained_model:
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@ -6,6 +6,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_pp-OCRv2_distillation
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save_epoch_step: 3
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: true
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_chinese_common_v2.0
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_chinese_lite_v2.0
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,9 +5,8 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_arabic_lite
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save_epoch_step: 3
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eval_batch_step:
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- 0
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- 2000
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: true
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pretrained_model: null
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checkpoints: null
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@ -5,9 +5,8 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_cyrillic_lite
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save_epoch_step: 3
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eval_batch_step:
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- 0
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- 2000
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: true
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pretrained_model: null
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checkpoints: null
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@ -5,9 +5,8 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_devanagari_lite
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save_epoch_step: 3
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eval_batch_step:
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- 0
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- 2000
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: true
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pretrained_model: null
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checkpoints: null
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_en_number_lite
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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# if pretrained_model is saved in static mode, load_static_weights must set to True
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cal_metric_during_train: True
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_french_lite
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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# if pretrained_model is saved in static mode, load_static_weights must set to True
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cal_metric_during_train: True
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_german_lite
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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# if pretrained_model is saved in static mode, load_static_weights must set to True
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cal_metric_during_train: True
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_japan_lite
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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# if pretrained_model is saved in static mode, load_static_weights must set to True
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cal_metric_during_train: True
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_korean_lite
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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# if pretrained_model is saved in static mode, load_static_weights must set to True
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cal_metric_during_train: True
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@ -5,9 +5,8 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_latin_lite
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save_epoch_step: 3
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eval_batch_step:
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- 0
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- 2000
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: true
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pretrained_model: null
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checkpoints: null
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec_multi_language_lite
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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# if pretrained_model is saved in static mode, load_static_weights must set to True
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cal_metric_during_train: True
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/ic15/
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save_epoch_step: 3
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# evaluation is run every 2000 iterations
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/nrtr/
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save_epoch_step: 1
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# evaluation is run every 2000 iterations
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/mv3_none_bilstm_ctc/
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save_epoch_step: 3
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# evaluation is run every 2000 iterations
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/mv3_none_none_ctc/
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save_epoch_step: 3
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# evaluation is run every 2000 iterations
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/rec_mv3_tps_bilstm_att/
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/mv3_tps_bilstm_ctc/
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save_epoch_step: 3
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# evaluation is run every 2000 iterations
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/r34_vd_none_bilstm_ctc/
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save_epoch_step: 3
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# evaluation is run every 2000 iterations
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/r34_vd_none_none_ctc/
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save_epoch_step: 3
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# evaluation is run every 2000 iterations
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/b3_rare_r34_none_gru/
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 10
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save_model_dir: ./output/rec/r34_vd_tps_bilstm_ctc/
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save_epoch_step: 3
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# evaluation is run every 2000 iterations
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# evaluation is run every 2000 iterations after the 0th iteration
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eval_batch_step: [0, 2000]
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cal_metric_during_train: True
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pretrained_model:
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@ -5,7 +5,7 @@ Global:
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print_batch_step: 5
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save_model_dir: ./output/rec/srn_new
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save_epoch_step: 3
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# evaluation is run every 5000 iterations after the 4000th iteration
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# evaluation is run every 5000 iterations after the 0th iteration
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eval_batch_step: [0, 5000]
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cal_metric_during_train: True
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pretrained_model:
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