Add measurements/logs/calvin_s0_bf16_sr50_step10000.log
Browse files
measurements/logs/calvin_s0_bf16_sr50_step10000.log
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| 1 |
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[sr] memory_fraction=0.22
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[sr] codec_resolved=/home/askhabaliev_g/checkpoints/codec/rvq_posttrain_s0/best/model source=cli yaml=/datasets/askhabaliev_g/checkpoints/codec/rvq_posttrain_s0/best/model config_sha256=eb9eae824a561eccb5f915f2bb4008f9a54211554cfebd745525fedfe27a73c9 weights_sha256=07099e1e43bcbcffe29620128f0036c8479cbd4ac3b7d3a7d2f1987d6038f0a7
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[sr] loading BAR backbone=HuggingFaceTB/SmolVLM2-2.2B-Instruct
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action_expert not loaded from pretrained weights, will use random initialization
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[sr] loading lightning ckpt=/home/askhabaliev_g/checkpoints/vla/calvin_s0_bf16/pins/step_10000/last.ckpt
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[sr] load_state_dict missing=0 unexpected=0 global_step=10000
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[sr] codec_before_load path=/home/askhabaliev_g/checkpoints/codec/rvq_posttrain_s0/best/model weights=/home/askhabaliev_g/hf_cache/hub/models--hackhackhack66666--calvin-hicora/blobs/07099e1e43bcbcffe29620128f0036c8479cbd4ac3b7d3a7d2f1987d6038f0a7
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You have video processor config saved in `preprocessor.json` file which is deprecated. Video processor configs should be saved in their own `video_preprocessor.json` file. You can rename the file or load and save the processor back which renames it automatically. Loading from `preprocessor.json` will be removed in v5.0.
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Vocabulary expanded. New size: 51328
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Note: Remember to resize model embeddings after loading, e.g., model.resize_token_embeddings(len(processor.tokenizer))
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/home/askhabaliev_g/Adaptive_VLA/calvin_hicora/scripts/hulc_reduced_sr_eval.py:80: Hydra14MigrationWarning:
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version_base="1.1" selects Hydra 1.1 compatibility behavior.
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Hydra 1.4 will remove this compatibility behavior.
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Before upgrading to Hydra 1.4, set version_base="1.3" and test your application.
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See https://hydra.cc/docs/upgrades/1.3_to_1.4/prepare_for_1_4/ for preparation instructions.
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with initialize_config_dir(config_dir=conf_dir, version_base="1.1"):
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Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
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Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
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See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
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pybullet build time: Oct 8 2026 17:23:51
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/home/askhabaliev_g/Adaptive_VLA/calvin_hicora/env/calvin_env/calvin_env/envs/play_table_env.py:289: Hydra14MigrationWarning:
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The version_base parameter is not specified.
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Hydra will assume defaults for version 1.1.
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Hydra 1.4 will remove this compatibility behavior.
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Before upgrading to Hydra 1.4, set version_base="1.3" and test your application.
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See https://hydra.cc/docs/upgrades/1.3_to_1.4/prepare_for_1_4/ for preparation instructions.
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@hydra.main(config_path="../../conf", config_name="config_data_collection")
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argv[0]=
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[sr] locked sequences from /home/askhabaliev_g/logs/calvin_s0_sr50_step3000.json n=50 ckpt_step=10000
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[sr] calibrate skipped; scored chains use per-chain seeds from 0
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[sr] running N=50 (budget_h=4.5, limited=False)
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[sr] codec_before_decode path=/home/askhabaliev_g/checkpoints/codec/rvq_posttrain_s0/best/model
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[sr:eval] 1/50 score=0/5 wall=47.0s SR1=0.0% SR2=0.0% SR3=0.0% SR4=0.0% SR5=0.0%
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[sr:eval] 2/50 score=1/5 wall=59.0s SR1=50.0% SR2=0.0% SR3=0.0% SR4=0.0% SR5=0.0%
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[sr:eval] 3/50 score=1/5 wall=59.0s SR1=66.7% SR2=0.0% SR3=0.0% SR4=0.0% SR5=0.0%
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[sr:eval] 4/50 score=0/5 wall=47.5s SR1=50.0% SR2=0.0% SR3=0.0% SR4=0.0% SR5=0.0%
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[sr:eval] 5/50 score=2/5 wall=74.3s SR1=60.0% SR2=20.0% SR3=0.0% SR4=0.0% SR5=0.0%
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[sr:eval] 6/50 score=1/5 wall=57.6s SR1=66.7% SR2=16.7% SR3=0.0% SR4=0.0% SR5=0.0%
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[sr:eval] 7/50 score=3/5 wall=84.9s SR1=71.4% SR2=28.6% SR3=14.3% SR4=0.0% SR5=0.0%
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[sr:eval] 8/50 score=5/5 wall=62.2s SR1=75.0% SR2=37.5% SR3=25.0% SR4=12.5% SR5=12.5%
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[sr:eval] 9/50 score=4/5 wall=84.4s SR1=77.8% SR2=44.4% SR3=33.3% SR4=22.2% SR5=11.1%
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[sr:eval] 10/50 score=1/5 wall=65.3s SR1=80.0% SR2=40.0% SR3=30.0% SR4=20.0% SR5=10.0%
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[sr:eval] 11/50 score=5/5 wall=81.3s SR1=81.8% SR2=45.5% SR3=36.4% SR4=27.3% SR5=18.2%
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[sr:eval] 12/50 score=3/5 wall=63.1s SR1=83.3% SR2=50.0% SR3=41.7% SR4=25.0% SR5=16.7%
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[sr:eval] 13/50 score=3/5 wall=116.2s SR1=84.6% SR2=53.8% SR3=46.2% SR4=23.1% SR5=15.4%
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[sr:eval] 14/50 score=2/5 wall=61.6s SR1=85.7% SR2=57.1% SR3=42.9% SR4=21.4% SR5=14.3%
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[sr:eval] 15/50 score=1/5 wall=69.2s SR1=86.7% SR2=53.3% SR3=40.0% SR4=20.0% SR5=13.3%
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[sr:eval] 16/50 score=1/5 wall=56.1s SR1=87.5% SR2=50.0% SR3=37.5% SR4=18.8% SR5=12.5%
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[sr:eval] 17/50 score=1/5 wall=68.0s SR1=88.2% SR2=47.1% SR3=35.3% SR4=17.6% SR5=11.8%
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[sr:eval] 18/50 score=0/5 wall=45.0s SR1=83.3% SR2=44.4% SR3=33.3% SR4=16.7% SR5=11.1%
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[sr:eval] 19/50 score=1/5 wall=50.6s SR1=84.2% SR2=42.1% SR3=31.6% SR4=15.8% SR5=10.5%
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[sr:eval] 20/50 score=1/5 wall=53.8s SR1=85.0% SR2=40.0% SR3=30.0% SR4=15.0% SR5=10.0%
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[sr:eval] 21/50 score=1/5 wall=51.0s SR1=85.7% SR2=38.1% SR3=28.6% SR4=14.3% SR5=9.5%
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[sr:eval] 22/50 score=1/5 wall=50.7s SR1=86.4% SR2=36.4% SR3=27.3% SR4=13.6% SR5=9.1%
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[sr:eval] 23/50 score=1/5 wall=54.6s SR1=87.0% SR2=34.8% SR3=26.1% SR4=13.0% SR5=8.7%
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[sr:eval] 24/50 score=2/5 wall=58.5s SR1=87.5% SR2=37.5% SR3=25.0% SR4=12.5% SR5=8.3%
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[sr:eval] 25/50 score=1/5 wall=55.2s SR1=88.0% SR2=36.0% SR3=24.0% SR4=12.0% SR5=8.0%
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[sr:eval] 26/50 score=0/5 wall=43.8s SR1=84.6% SR2=34.6% SR3=23.1% SR4=11.5% SR5=7.7%
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[sr:eval] 27/50 score=0/5 wall=44.8s SR1=81.5% SR2=33.3% SR3=22.2% SR4=11.1% SR5=7.4%
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[sr:eval] 28/50 score=0/5 wall=44.3s SR1=78.6% SR2=32.1% SR3=21.4% SR4=10.7% SR5=7.1%
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[sr:eval] 29/50 score=4/5 wall=109.6s SR1=79.3% SR2=34.5% SR3=24.1% SR4=13.8% SR5=6.9%
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[sr:eval] 30/50 score=1/5 wall=53.1s SR1=80.0% SR2=33.3% SR3=23.3% SR4=13.3% SR5=6.7%
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| 65 |
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[sr:eval] 31/50 score=2/5 wall=100.1s SR1=80.6% SR2=35.5% SR3=22.6% SR4=12.9% SR5=6.5%
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| 66 |
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[sr:eval] 32/50 score=2/5 wall=99.0s SR1=81.2% SR2=37.5% SR3=21.9% SR4=12.5% SR5=6.2%
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| 67 |
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[sr:eval] 33/50 score=0/5 wall=46.4s SR1=78.8% SR2=36.4% SR3=21.2% SR4=12.1% SR5=6.1%
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| 68 |
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[sr:eval] 34/50 score=2/5 wall=103.9s SR1=79.4% SR2=38.2% SR3=20.6% SR4=11.8% SR5=5.9%
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| 69 |
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[sr:eval] 35/50 score=4/5 wall=120.6s SR1=80.0% SR2=40.0% SR3=22.9% SR4=14.3% SR5=5.7%
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| 70 |
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[sr:eval] 36/50 score=3/5 wall=66.5s SR1=80.6% SR2=41.7% SR3=25.0% SR4=13.9% SR5=5.6%
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| 71 |
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[sr:eval] 37/50 score=2/5 wall=65.6s SR1=81.1% SR2=43.2% SR3=24.3% SR4=13.5% SR5=5.4%
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| 72 |
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[sr:eval] 38/50 score=1/5 wall=53.4s SR1=81.6% SR2=42.1% SR3=23.7% SR4=13.2% SR5=5.3%
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[sr:eval] 39/50 score=3/5 wall=104.6s SR1=82.1% SR2=43.6% SR3=25.6% SR4=12.8% SR5=5.1%
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[sr:eval] 40/50 score=1/5 wall=60.4s SR1=82.5% SR2=42.5% SR3=25.0% SR4=12.5% SR5=5.0%
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[sr:eval] 41/50 score=4/5 wall=108.5s SR1=82.9% SR2=43.9% SR3=26.8% SR4=14.6% SR5=4.9%
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