session 5 artefact: artifacts/session5/session.log
Browse files- artifacts/session5/session.log +649 -0
artifacts/session5/session.log
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...ev/session5_artifacts.tgz: 1%| | 524kB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 1%| | 524kB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 11%|█ | 6.29MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|█████████▉| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|██████████| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|██████████| 56.1MB / 56.1MB [A[A
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...ev/session5_artifacts.tgz: 100%|██████████| 56.1MB / 56.1MB
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seed_mode=pad canvas=64 layers=0.5,0.75
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WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
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WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
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WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
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/usr/local/lib/python3.12/dist-packages/huggingface_hub/constants.py:302: FutureWarning: The `HF_HUB_ENABLE_HF_TRANSFER` environment variable is deprecated as 'hf_transfer' is not used anymore. Please use `HF_XET_HIGH_PERFORMANCE` instead to enable high performance transfer with Xet. Visit https://huggingface.co/docs/huggingface_hub/package_reference/environment_variables#hfxethighperformance for more details.
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warnings.warn(
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torch 2.9.1+cu128 cuda True transformers 5.17.0
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gpu NVIDIA A100-SXM4-80GB 79 GiB
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/usr/local/lib/python3.12/dist-packages/huggingface_hub/constants.py:302: FutureWarning: The `HF_HUB_ENABLE_HF_TRANSFER` environment variable is deprecated as 'hf_transfer' is not used anymore. Please use `HF_XET_HIGH_PERFORMANCE` instead to enable high performance transfer with Xet. Visit https://huggingface.co/docs/huggingface_hub/package_reference/environment_variables#hfxethighperformance for more details.
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warnings.warn(
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/root/.cache/huggingface/hub/models--google--diffusiongemma-26B-A4B-it/snapshots/f7f5b7f5fa82ffc52addd066915886d497f5517b
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...................................... [100%]
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skip chaosnli/train: Unknown split "train". Should be one of ['test'].
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skip chaosnli/validation: Unknown split "validation". Should be one of ['test'].
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{
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"train": 6465,
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"validation": 1920,
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"test_td": 400,
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"test_jb": 3800,
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"train_sha": "aab43bbb532c3702",
|
| 79 |
+
"validation_sha": "310b38638723d58e",
|
| 80 |
+
"test_td_sha": "189f14ce869a9bba",
|
| 81 |
+
"test_jb_sha": "f15f0bb601f6cf3d",
|
| 82 |
+
"revisions": {
|
| 83 |
+
"LocalLLaMA/typed-decisions": "f7a2487edd7a043a5441a5e9ccc7fe5ddbd9ebe8",
|
| 84 |
+
"Praveenrajus/jev-bench": "18f88da81c28c2bec55edc31f63f2afdfba109ea"
|
| 85 |
+
}
|
| 86 |
+
}
|
| 87 |
+
skip chaosnli/train: Unknown split "train". Should be one of ['test'].
|
| 88 |
+
skip chaosnli/validation: Unknown split "validation". Should be one of ['test'].
|
| 89 |
+
|
| 90 |
+
|
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+
|
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+
|
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|
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{
|
| 100 |
+
"train_g": 8135,
|
| 101 |
+
"validation_g": 1750,
|
| 102 |
+
"converted": {
|
| 103 |
+
"banking77": {
|
| 104 |
+
"train": 630,
|
| 105 |
+
"validation": 70,
|
| 106 |
+
"bare": 272
|
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+
},
|
| 108 |
+
"clinc150": {
|
| 109 |
+
"train": 720,
|
| 110 |
+
"validation": 80,
|
| 111 |
+
"bare": 318
|
| 112 |
+
},
|
| 113 |
+
"dbpedia": {
|
| 114 |
+
"train": 360,
|
| 115 |
+
"validation": 40,
|
| 116 |
+
"bare": 151
|
| 117 |
+
},
|
| 118 |
+
"ag_news": {
|
| 119 |
+
"train": 270,
|
| 120 |
+
"validation": 30,
|
| 121 |
+
"bare": 130
|
| 122 |
+
},
|
| 123 |
+
"snips": {
|
| 124 |
+
"train": 270,
|
| 125 |
+
"validation": 30,
|
| 126 |
+
"bare": 118
|
| 127 |
+
}
|
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+
},
|
| 129 |
+
"train_g_sha": "1fa09f480dadf824",
|
| 130 |
+
"validation_g_sha": "a61a79e720e30441",
|
| 131 |
+
"revisions": {
|
| 132 |
+
"Praveenrajus/jev-bench": "18f88da81c28c2bec55edc31f63f2afdfba109ea",
|
| 133 |
+
"clinc/clinc_oos": "155b9c710419136e17307b80d0a13e68cd46b4ec",
|
| 134 |
+
"fancyzhx/ag_news": "eb185aade064a813bc0b7f42de02595523103ca4",
|
| 135 |
+
"fancyzhx/dbpedia_14": "9abd46cf7fc8b4c64290f26993c540b92aa145ac",
|
| 136 |
+
"legacy-datasets/banking77": "f54121560de48f2852f90be299010d1d6dc612ec",
|
| 137 |
+
"sonos-nlu-benchmark/snips_built_in_intents": "7a3f9329f396a746c867f370c7ab210dff9c789b"
|
| 138 |
+
}
|
| 139 |
+
}
|
| 140 |
+
fast-decisions manifest: 1700 examples
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
warning: several final-norm candidates, using the last; encoder ['model.encoder.language_model.norm'], decoder ['model.decoder.self_conditioning.pre_norm', 'model.decoder.self_conditioning.post_norm', 'model.decoder.norm']
|
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|
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{
|
| 307 |
+
"examples": 8135,
|
| 308 |
+
"decisions": 8135,
|
| 309 |
+
"seed_mode": "pad",
|
| 310 |
+
"canvas_length": 64,
|
| 311 |
+
"seconds": 3056.4,
|
| 312 |
+
"feature_dim": 8448,
|
| 313 |
+
"encoder_norm": "model.encoder.language_model.norm",
|
| 314 |
+
"decoder_norm": "model.decoder.norm",
|
| 315 |
+
"hidden_size": 2816,
|
| 316 |
+
"extra_layers": {
|
| 317 |
+
"encoder": [
|
| 318 |
+
"model.encoder.language_model.layers.14",
|
| 319 |
+
"model.encoder.language_model.layers.22"
|
| 320 |
+
],
|
| 321 |
+
"decoder": [
|
| 322 |
+
"model.decoder.layers.14",
|
| 323 |
+
"model.decoder.layers.22"
|
| 324 |
+
]
|
| 325 |
+
}
|
| 326 |
+
}
|
| 327 |
+
zero_shot pad 0.7855
|
| 328 |
+
|
| 329 |
+
|
| 330 |
+
warning: several final-norm candidates, using the last; encoder ['model.encoder.language_model.norm'], decoder ['model.decoder.self_conditioning.pre_norm', 'model.decoder.self_conditioning.post_norm', 'model.decoder.norm']
|
| 331 |
+
50/1750 examples, 18s
|
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+
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+
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+
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+
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|
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+
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|
| 365 |
+
1750/1750 examples, 688s
|
| 366 |
+
{
|
| 367 |
+
"examples": 1750,
|
| 368 |
+
"decisions": 1750,
|
| 369 |
+
"seed_mode": "pad",
|
| 370 |
+
"canvas_length": 64,
|
| 371 |
+
"seconds": 687.7,
|
| 372 |
+
"feature_dim": 8448,
|
| 373 |
+
"encoder_norm": "model.encoder.language_model.norm",
|
| 374 |
+
"decoder_norm": "model.decoder.norm",
|
| 375 |
+
"hidden_size": 2816,
|
| 376 |
+
"extra_layers": {
|
| 377 |
+
"encoder": [
|
| 378 |
+
"model.encoder.language_model.layers.14",
|
| 379 |
+
"model.encoder.language_model.layers.22"
|
| 380 |
+
],
|
| 381 |
+
"decoder": [
|
| 382 |
+
"model.decoder.layers.14",
|
| 383 |
+
"model.decoder.layers.22"
|
| 384 |
+
]
|
| 385 |
+
}
|
| 386 |
+
}
|
| 387 |
+
zero_shot pad 0.7640
|
| 388 |
+
|
| 389 |
+
|
| 390 |
+
warning: several final-norm candidates, using the last; encoder ['model.encoder.language_model.norm'], decoder ['model.decoder.self_conditioning.pre_norm', 'model.decoder.self_conditioning.post_norm', 'model.decoder.norm']
|
| 391 |
+
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|
| 399 |
+
{
|
| 400 |
+
"examples": 400,
|
| 401 |
+
"decisions": 2000,
|
| 402 |
+
"seed_mode": "pad",
|
| 403 |
+
"canvas_length": 64,
|
| 404 |
+
"seconds": 156.0,
|
| 405 |
+
"feature_dim": 8448,
|
| 406 |
+
"encoder_norm": "model.encoder.language_model.norm",
|
| 407 |
+
"decoder_norm": "model.decoder.norm",
|
| 408 |
+
"hidden_size": 2816,
|
| 409 |
+
"extra_layers": {
|
| 410 |
+
"encoder": [
|
| 411 |
+
"model.encoder.language_model.layers.14",
|
| 412 |
+
"model.encoder.language_model.layers.22"
|
| 413 |
+
],
|
| 414 |
+
"decoder": [
|
| 415 |
+
"model.decoder.layers.14",
|
| 416 |
+
"model.decoder.layers.22"
|
| 417 |
+
]
|
| 418 |
+
}
|
| 419 |
+
}
|
| 420 |
+
zero_shot pad 0.7080
|
| 421 |
+
|
| 422 |
+
|
| 423 |
+
warning: several final-norm candidates, using the last; encoder ['model.encoder.language_model.norm'], decoder ['model.decoder.self_conditioning.pre_norm', 'model.decoder.self_conditioning.post_norm', 'model.decoder.norm']
|
| 424 |
+
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{
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"examples": 3800,
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"decisions": 3800,
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"seed_mode": "pad",
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"canvas_length": 64,
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"seconds": 1437.3,
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"feature_dim": 8448,
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"encoder_norm": "model.encoder.language_model.norm",
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"hidden_size": 2816,
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"decoder": [
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}
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}
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zero_shot pad 0.7016
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warning: several final-norm candidates, using the last; encoder ['model.encoder.language_model.norm'], decoder ['model.decoder.self_conditioning.pre_norm', 'model.decoder.self_conditioning.post_norm', 'model.decoder.norm']
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{
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"examples": 1700,
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"decisions": 2600,
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| 562 |
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"seed_mode": "pad",
|
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"canvas_length": 64,
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"seconds": 623.0,
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"feature_dim": 8448,
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"encoder_norm": "model.encoder.language_model.norm",
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"decoder_norm": "model.decoder.norm",
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"hidden_size": 2816,
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"extra_layers": {
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"encoder": [
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"model.encoder.language_model.layers.14",
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"model.encoder.language_model.layers.22"
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"decoder": [
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"model.decoder.layers.14",
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]
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}
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}
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zero_shot pad 0.6108
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| 581 |
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extra_layers {'encoder': ['model.encoder.language_model.layers.14', 'model.encoder.language_model.layers.22'], 'decoder': ['model.decoder.layers.14', 'model.decoder.layers.22']} feature_dim 8448
|
| 582 |
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sweep: start h512-s42-screen (4 epochs, wd 0.01)
|
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epoch 0 train 0.9074 val_nll 0.8506 1179s
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epoch 1 train 0.7055 val_nll 0.8040 2295s
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epoch 2 train 0.5856 val_nll 0.7313 3412s
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epoch 3 train 0.4998 val_nll 0.7078 4552s
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sweep: h512-s42-screen best_epoch 3 val_nll 0.5980 val_brier 0.3052 params 14825622 4930s
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sweep: stopping before h512-s42-confirm: about 9860s needed, 0s left
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sweep: published single (no full run finished; best screening run) -> runs/hev; leaderboard runs/leaderboard.json
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| Model | n | acc | soft_acc | macro_f1 | kl | tv | brier | nll | ece | score_mae | within_1 |
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|---|---|---|---|---|---|---|---|---|---|---|---|
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| DiffusionGemma zero-shot canvas read | 2000 | 0.708 | 0.573 | 0.549 | 1.333 | 0.362 | 0.304 | 2.100 | 0.213 | 0.411 | 0.934 |
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| Hev generalist | 2000 | 0.685 | 0.559 | 0.506 | 0.556 | 0.301 | 0.199 | 1.324 | 0.077 | 0.339 | 0.956 |
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| DiffusionGemma zero-shot canvas read | 3800 | 0.702 | 0.690 | 0.646 | 1.608 | 0.310 | 0.474 | 1.721 | 0.239 | 0.602 | 0.816 |
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| Hev generalist | 3800 | 0.721 | 0.709 | 0.677 | 0.738 | 0.343 | 0.336 | 0.851 | 0.043 | 0.591 | 0.826 |
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| 599 |
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| DiffusionGemma zero-shot canvas read | 2600 | 0.611 | 0.611 | 0.573 | 2.555 | 0.396 | 0.720 | 2.555 | 0.340 | - | - |
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| Hev generalist | 2600 | 0.593 | 0.593 | 0.554 | 1.411 | 0.472 | 0.626 | 1.411 | 0.190 | - | - |
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