| 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: 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 |
|
|
| |
| mix: True |
| prompt: shuffle+ |
| norm_cond: True |
| mix_text_min: 0.0 |
| |
| |
| 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 |
| |
|
|
| 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}} |
|
|
|
|
| |
| - {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}} |
|
|
| |
| - {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}} |
|
|
