Adds 1.1 and 1.2 models

• Update link and python command by @APatrickJ in #490
• Propagate tokenization config to max_t computation by @gabrieltseng in #492
• Refactor 2D position encoding to support rectangular grids by @robmarkcole in #484
• Add script to create subset of pre-training dataset by @favyen2 in #489
• Use optional dependencies instead of dependency groups. by @favyen2 in #498
• Add EuroCrops data by @favyen2 in #485
• Fixing eurosat drop with single bandset by @yawenzzzz in #494
• Map ablations by @gabrieltseng in #474
• Default norms 2std by @Hgherzog in #500
• Beaker config retries default by @Hgherzog in #503
• refactoring to have cleaner data containers by @Hgherzog in #486
• NDVI + time explicit masking by @gabrieltseng in #501
• Config fixes for loading checkpoints with TokenizationConfig by @gabrieltseng in #508
• Add configurable primary eval metric with namespace separation by @Hgherzog in #504
• Henryh/training speedups by @Hgherzog in #495
• Henryh/small bug fix by @Hgherzog in #509
• Henryh/pipe studio tasks into evals by @Hgherzog in #506
• Add an eval wrapper for the band dropout experiments by @gabrieltseng in #512
• Pjreddie/embedding output size by @pjreddie in #478
• eval fixes by @gabrieltseng in #517
• Update wandb script to reflect new changes to evals by @gabrieltseng in #513
• minor readability update to flexi_vit by @Farbum in #523
• Add embedding diagnostics eval mode by @Hgherzog in #529
• Fix one more edge case for finetuning with preemption by @yawenzzzz in #532
• fix geo evals primary metric by @gabrieltseng in #533
• Add vectorized masked-negatives patch discrimination loss by @Hgherzog in #542
• Fix WorldCereal data by using SINGLE_COMPOSITE and setting correct NODATA by @favyen2 in #507
• New eval task: 8 day burn-risk forecast by @Farbum in #544
• Fix copy_wandb_run script by @yawenzzzz in #535
• Get best LR from finetuning runs on wandb by @gabrieltseng in #545
• Fix band dropout being applied during fine-tuning bug that Gabi identified by @favyen2 in #548
• Single bandset ablations by @gabrieltseng in #519
• Update Beaker budget (ai2/es-platform -> ai2/atec-olmoearth) by @favyen2 in #550
• Support adding additional hidden layers to the initial projection by @favyen2 in #546
• Use nodata_value instead of nodata_vals. by @favyen2 in #552
• Fix worlcover config by @piperwolters in #553
• rslearn bump by @Farbum in #557
• Update st_model.py by @favyen2 in #547
• Nano hidden run by @gabrieltseng in #551
• Add pretrain auxiliary probes and unify low-label eval config by @Hgherzog in #561
• Update Tessera band order documentation and correct band sequence for compatibility with released checkpoints by @FrankFeng-23 in
  #554
• Add s1, s1+s2 for srtm by @gabrieltseng in #565
• Add v1.1 scripts by @gabrieltseng in #566
• Mitigate memory leak in pre-training runs by @favyen2 in #563
• rslearn task ingestion: verbose and tag filtering by @Farbum in #538
• add skip task names arg to finetune sweep script by @piperwolters in #555
• Add dice loss option to finetune args by @piperwolters in #560
• UNet head for finetuning by @piperwolters in #559
• Snapshot the evals instead of reading from pretraining data by @gabrieltseng in #575
• Add lfmc and single probe for regression tasks by @Farbum in #569
• Add 50 cities dataset by @gabrieltseng in #570
• Mapbiomas eval (Brazil) by @Farbum in #578
• Add temporal RoPE model support by @Hgherzog in #572
• Update readme with v1.1 model weights by @gabrieltseng in #580
• GEO-Bench-2, UNet finetuning head, Finetuning dice loss by @piperwolters in #556
• Fix scripts to reflect our actual runs by @gabrieltseng in #581

New Contributors

• @APatrickJ made their first contribution in #490
• @robmarkcole made their first contribution in #484
• @Farbum made their first contribution in #523
• @piperwolters made their first contribution in #553
• @FrankFeng-23 made their first contribution in #554

Full Changelog: v0.1.0...v0.1.1