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main branch for alignment training for S2BMS and Satbird - #157
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# Conflicts: # src/models/text_alignment_model.py
- Skip if exists - Start > 0 - Satbird configuration
# Conflicts: # src/models/text_alignment_model.py
# Conflicts: # configs/experiment/s2bms_prediction/avr_aef_1_128_256_lin.yaml # configs/experiment/s2bms_prediction/avr_aef_1_128_256_mlp.yaml # configs/experiment/s2bms_prediction/avr_tessera_v11_1_128_256_deeper_mlp.yaml # configs/experiment/s2bms_prediction/avr_tessera_v11_1_128_256_lin.yaml # configs/experiment/s2bms_prediction/avr_tessera_v11_1_128_256_mlp.yaml # configs/experiment/s2bms_prediction/tessera_128_256_rn18_34_50_deeper_mlp.yaml # notebooks/19-GT-wandb_prediction_table.ipynb
# Conflicts: # notebooks/09-GT-aef-tessera-datasplit-filtering.ipynb # src/data/satbird_dataset.py
gabrieletijunaityte
changed the title
Only issue is I had to deselect these datasets:
def test_datasets_generic_properties(request, tmp_path, sample_csv):
"""This test checks that all datasets implement the basic properties and methods."""
# list_datasets = [ButterflyDataset, SatBirdDataset, HeatGuatemalaDataset, YieldAfricaDataset]
list_datasets = [ButterflyDataset]
vdplasthijs
marked this pull request as ready for review
October 19, 2026 15:42
vdplasthijs
reviewed
Oct 19, 2026
vdplasthijs
approved these changes
Oct 19, 2026
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What does this PR do?
Added:
viz_utils/pyfor figurestrain_alignment_model.pyandSmall changes:
soft_contrastive_vloss.pysimplify loss to never use all aux values for the soft target value calculation.contrastive_validation.pysafe guard for invalid k values.train_alignment_model.py:_on_x_start()(also in thebase_model.py)to handle model setup on different model intialisations (e.g., if model is never trained but immediately evaluated (like vlm baselines)).evaluating.pyremoved use of average encoder class.train.pyvalidation and testing flags are now independent of wandb logger.Before submitting
pytestcommand?