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Runtime error
| configuration: | |
| batch_size: 64 | |
| optimizer: torch.optim.AdamW | |
| lr: 0.001 | |
| trainer: experiment_setup.train_loop | |
| scorer: experiment_setup.score | |
| model: models.clipseg.CLIPDensePredT | |
| lr_scheduler: cosine | |
| T_max: 20000 | |
| eta_min: 0.0001 | |
| max_iterations: 20000 # <-########################################## | |
| val_interval: null | |
| # dataset | |
| dataset: datasets.phrasecut.PhraseCut | |
| split_mode: pascal_test | |
| mode: train | |
| mask: text_and_crop_blur_highlight352 | |
| image_size: 352 | |
| normalize: True | |
| pre_crop_image_size: [sample, 1, 1.5] | |
| aug: 1new | |
| with_visual: True | |
| split: train | |
| # general | |
| mix: True | |
| prompt: shuffle+ | |
| norm_cond: True | |
| mix_text_min: 0.0 | |
| # model | |
| out: 1 | |
| version: 'ViT-B/16' | |
| extract_layers: [3, 7, 9] | |
| reduce_dim: 64 | |
| depth: 3 | |
| loss: torch.nn.functional.binary_cross_entropy_with_logits | |
| amp: True | |
| test_configuration_common: | |
| normalize: True | |
| image_size: 352 | |
| metric: metrics.FixedIntervalMetrics | |
| batch_size: 1 | |
| test_dataset: pascal | |
| sigmoid: True | |
| # max_iterations: 250 | |
| test_configuration: | |
| - | |
| name: pas_t | |
| mask: text | |
| - | |
| name: pas_h | |
| mask: blur3_highlight01 | |
| - | |
| name: pas_h2 | |
| mask: crop_blur_highlight352 | |
| columns: [name, | |
| pas_t_fgiou_best, pas_t_miou_best, pas_t_fgiou_ct, | |
| pas_h_fgiou_best, pas_h_miou_best, pas_h_fgiou_ct, | |
| pas_h2_fgiou_best, pas_h2_miou_best, pas_h2_fgiou_ct, pas_h2_fgiou_best_t, | |
| train_loss, duration, date | |
| ] | |
| individual_configurations: | |
| - {name: rd64-uni-phrasepas5i-0, remove_classes: [pas5i, 0], negative_prob: 0.2, mix_text_max: 0.5, test_configuration: {splits: [0], custom_threshold: 0.24}} | |
| - {name: rd64-uni-phrasepas5i-1, remove_classes: [pas5i, 1], negative_prob: 0.2, mix_text_max: 0.5, test_configuration: {splits: [1], custom_threshold: 0.24}} | |
| - {name: rd64-uni-phrasepas5i-2, remove_classes: [pas5i, 2], negative_prob: 0.2, mix_text_max: 0.5, test_configuration: {splits: [2], custom_threshold: 0.24}} | |
| - {name: rd64-uni-phrasepas5i-3, remove_classes: [pas5i, 3], negative_prob: 0.2, mix_text_max: 0.5, test_configuration: {splits: [3], custom_threshold: 0.24}} | |
| - {name: rd64-phrasepas5i-0, remove_classes: [pas5i, 0], negative_prob: 0.0, test_configuration: {splits: [0], custom_threshold: 0.28}} | |
| - {name: rd64-phrasepas5i-1, remove_classes: [pas5i, 1], negative_prob: 0.0, test_configuration: {splits: [1], custom_threshold: 0.28}} | |
| - {name: rd64-phrasepas5i-2, remove_classes: [pas5i, 2], negative_prob: 0.0, test_configuration: {splits: [2], custom_threshold: 0.28}} | |
| - {name: rd64-phrasepas5i-3, remove_classes: [pas5i, 3], negative_prob: 0.0, test_configuration: {splits: [3], custom_threshold: 0.28}} | |
| # baseline | |
| - {name: bl64-phrasepas5i-0, model: models.clipseg.CLIPDenseBaseline, remove_classes: [pas5i, 0], reduce2_dim: 64, negative_prob: 0.0, test_configuration: {splits: [0], custom_threshold: 0.24}} | |
| - {name: bl64-phrasepas5i-1, model: models.clipseg.CLIPDenseBaseline, remove_classes: [pas5i, 1], reduce2_dim: 64, negative_prob: 0.0, test_configuration: {splits: [1], custom_threshold: 0.24}} | |
| - {name: bl64-phrasepas5i-2, model: models.clipseg.CLIPDenseBaseline, remove_classes: [pas5i, 2], reduce2_dim: 64, negative_prob: 0.0, test_configuration: {splits: [2], custom_threshold: 0.24}} | |
| - {name: bl64-phrasepas5i-3, model: models.clipseg.CLIPDenseBaseline, remove_classes: [pas5i, 3], reduce2_dim: 64, negative_prob: 0.0, test_configuration: {splits: [3], custom_threshold: 0.24}} | |
| # ViT | |
| - {name: vit64-uni-phrasepas5i-0, remove_classes: [pas5i, 0], model: models.vitseg.VITDensePredT, negative_prob: 0.2, mix_text_max: 0.5, lr: 0.0001, test_configuration: {splits: [0], custom_threshold: 0.02}} | |
| - {name: vit64-uni-phrasepas5i-1, remove_classes: [pas5i, 1], model: models.vitseg.VITDensePredT, negative_prob: 0.2, mix_text_max: 0.5, lr: 0.0001, test_configuration: {splits: [1], custom_threshold: 0.02}} | |
| - {name: vit64-uni-phrasepas5i-2, remove_classes: [pas5i, 2], model: models.vitseg.VITDensePredT, negative_prob: 0.2, mix_text_max: 0.5, lr: 0.0001, test_configuration: {splits: [2], custom_threshold: 0.02}} | |
| - {name: vit64-uni-phrasepas5i-3, remove_classes: [pas5i, 3], model: models.vitseg.VITDensePredT, negative_prob: 0.2, mix_text_max: 0.5, lr: 0.0001, test_configuration: {splits: [3], custom_threshold: 0.02}} | |