User-2468's picture
Colorizer round6: completed candidate and independent reports
c3df882 verified
Raw History Blame
17.4 kB
{
"baseline_development.json": "1daf75f4270d17f665829de0a5b14befa2858bc399fa349b1871120150a22df2",
"candidate/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"candidate/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"candidate/model.safetensors": "632fbe323236c2a75265b74bef1ad42254885a7fb19f36019d68ea4e335e3143",
"comparison_00000_0.jpg": "4f4358af866a772647c83547ff677fcfdfd1b60f37ae1d4ebb45f41fb14d2b31",
"comparison_00000_1.jpg": "8b5b6c91d343eec0fba81a983070b75927b9111ebdbfaa5435f96a4314ffcf98",
"comparison_00000_2.jpg": "06f2ad8ef4665fa3c4950fe132201f48f07704dec36895e650feb64f006a4421",
"comparison_00000_key.json": "b5e419422b3dcd6bd3e42ab3b36c297e07d46578b2939f85b0f3d5d886b14b5c",
"comparison_01000_0.jpg": "3180ec451851acf2876d4355967ddf89e387288b9876247ab5b90b33087019f4",
"comparison_01000_1.jpg": "12f275ee5b898b38ffe0decf9b3146011c785166c54cdf0f97e470dd00e4b973",
"comparison_01000_2.jpg": "8d7aa25660afa5952c53dd0e9efa486df263de6b9ac6ddd4811a83d652dd24f8",
"comparison_01000_key.json": "b5e419422b3dcd6bd3e42ab3b36c297e07d46578b2939f85b0f3d5d886b14b5c",
"comparison_02000_0.jpg": "77490a7ad249e27abee28ed8372a08816faeaecc68479e7a3cb32efe678859fb",
"comparison_02000_1.jpg": "94d894c67a89c0de3bfecf1ae2a9a9eb60e5ad397cc82ed41b3da16494bb8dcb",
"comparison_02000_2.jpg": "8960526e57e7efdfe45a9f9bf64196b0d24a6a7d9478ec1a4ed18159687771c5",
"comparison_02000_key.json": "b5e419422b3dcd6bd3e42ab3b36c297e07d46578b2939f85b0f3d5d886b14b5c",
"comparison_03000_0.jpg": "4829e7befc04f1e4412934fbc22769f76b5b948ec4255e251e642b5b802db606",
"comparison_03000_1.jpg": "4a00f7c86124b7b19cf99786d79911b51a1570335e6c76c10752984abae5e323",
"comparison_03000_2.jpg": "2ccb4cc666a3243c3e8c2e7eda331927e2910fbbd5db82cde3e3e723cd73229b",
"comparison_03000_key.json": "b5e419422b3dcd6bd3e42ab3b36c297e07d46578b2939f85b0f3d5d886b14b5c",
"comparison_04000_0.jpg": "157eed8ec74fa5c0cc5350d142d5ef082f9bbf8eb6ff4b8a8ca723128db8d3cd",
"comparison_04000_1.jpg": "97f136daca6c35fbaa586d5b82390afb3ece57f6d64a13293046c68755d3f6bf",
"comparison_04000_2.jpg": "6a1d300e980a58825a08161d5d31c5c84e11df0f389ef27a10fb5cc810ceba07",
"comparison_04000_key.json": "b5e419422b3dcd6bd3e42ab3b36c297e07d46578b2939f85b0f3d5d886b14b5c",
"data_and_eval.py": "019ea992052f0233954b86e06e31c85c74ca313e67a55ff7fb03248f8874aaf5",
"development_00000.json": "0fca20bb29131a10ef8b3dbb31d7b4e818950579585129afa2276d97ca0d7495",
"development_01000.json": "f064286ac521c7a95bc166d8e9ad8832733476b67759a4b5918f9679d05ae8fa",
"development_02000.json": "3870840e6c61b182837eae82150fd5188a8cce07c600bcbef4e748cb092b2a49",
"development_03000.json": "40388ed43c31260049cea20eb5b90c3fbe36a8480749ef3d39df5e7d019dbe74",
"development_04000.json": "b08300180d17fa2eddd26df09a9fcc98cc90023ad52a9da2e8c42fa11c33d731",
"final_ema_diagnostics.json": "c30f61ddb5d971028847022bce2df4bc0bdf952388eca29d667b88502f3974be",
"final_ema_heldout.json": "d230018c23ba4aeeb68ecb8c06cd750f6179aa9e1ecd5b0c8f660dc9e69636ec",
"final_raw_diagnostics.json": "e055ee9f70f9a1e75682329909437c1a73cc586d6640e79dcbeca38bc0a94c0a",
"final_raw_heldout.json": "2ab2d520110bb9a232d020b1d5cda9f3316848296364618c9a56cd0492d8087d",
"heldout_comparison_0.jpg": "21871bdc8614709379bb7d40d018158c30d399309274e7ca46fcb04ce7264a9f",
"heldout_comparison_1.jpg": "d4692e9e00e07220fb0b0f9a76f04b47e05df1cb49dc5c789f978eaceb3e3373",
"heldout_comparison_2.jpg": "10a1a8089cb490a6c281657d2e964aee5003748832d26f7ba4fe8a2484b016f6",
"heldout_comparison_3.jpg": "1d40de7bb5e25db917e44e25d1e35900918de3110d09674d5f5b9b32ce221ef1",
"heldout_comparison_key.json": "b5e419422b3dcd6bd3e42ab3b36c297e07d46578b2939f85b0f3d5d886b14b5c",
"history.json": "738ae122c7a8a905940aaa30cad333e99213ffda0d669bdea43dd29c1925b7ee",
"initial/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"initial/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"initial/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
"latest_training_state.pt": "5d372eb9035e04b096c031a759b37b151f9ec410e605732b8240d02f8ce8af69",
"manifest.json": "bb91348fd5a4a457945ac50ec3998e8e75b99bb45584a2f85123322faafa9505",
"probes_00000.jpg": "a63a5b3fc9f65b8b8663fd2087642fd4ab727334f7c423a332be441f6fc4462a",
"probes_01000.jpg": "652cc37f69350767f4027c8d8fdb3c03a4548c05feb726daa908432cb6a28c7c",
"probes_02000.jpg": "d4a3538f995e71f1737c7b806f04962204aadaf7cf38d5dd74b1f5379f888b23",
"probes_03000.jpg": "1a0c75322bb7487593a7b1e3514733619dfaaa660dcc539215b29f8a093dc428",
"probes_04000.jpg": "f427652f121eaaf741f0932dcff73a09926322e0cf406d81257ea26f1bc58762",
"protocol.json": "a2ed363389c217d926d719079428b46f15193643d5b19ee05aed88c2532af06d",
"smoke.json": "f3d59c93bbbc3584c2511d29d3d859b3b5e7d09552212d3b24e792c50125f746",
"source/__pycache__/data.cpython-311.pyc": "d8fb775784f24e4d1d3c12dcd7e5fe99f2c8c4ac2884c4e42f2446c9047c6697",
"source/__pycache__/legacy_eval.cpython-311.pyc": "693996b5bfe26c1021297fbe9e25c9e09231b6c4a2c862fa53ad042bf0aefde8",
"source/__pycache__/metrics.cpython-311.pyc": "baa31ce47ac2828cc6d16788769cfec6f2024dc0d545dbd6ab6952c1b1dde0df",
"source/__pycache__/model.cpython-311.pyc": "0d3c8569ad0b499a7a10abaeade87e173bfb3d33ee0f55906ef861a3739b8a52",
"source/__pycache__/objectives.cpython-311.pyc": "4b7d5e85aae5b84047a7beb2d8c91a69fa9bf2d641834d9a100b492f97a21410",
"source/__pycache__/persistence.cpython-311.pyc": "8b3539765478ba758a79c0fe9945cd5cc3f41ee7408beb685c94b01b83db13da",
"source/__pycache__/semantic_model.cpython-311.pyc": "d112b19b229d64efe2b2734785e7cb8478db93d67c278090ea321ccbeb36b675",
"source/__pycache__/spatial.cpython-311.pyc": "5888e791e299d6954829fe289e55b2ecd8be87c109b08dec66c76ca951f958f0",
"source/data.py": "eb43b886fe45435841439c36646985f914386a48faa712fb6806accac2ad48e0",
"source/legacy_eval.py": "dd7e8bd5f961dfb6f1c2ce98fac41824c5009188e306000b195e922e4ed03e58",
"source/metrics.py": "af0ac996f6be0a351a55e372fab637a0d06740afe4a744cb80d0eae56ec97f66",
"source/model.py": "4cc57f82ffd6378bdf23a088ce7a1ed56c09e5673de3ee5232b8ee1cacc9be0a",
"source/objectives.py": "133e85b6f2914c0e3803cc26a26fa29b779a49036219dd245c2ecfe0ba411e20",
"source/persistence.py": "8b26dd8acdc135ecbfcdd30b7f7723feb6008ac820c083403da1e820bdc15d33",
"source/previous_manifest.json": "24bc081bf48f1109d9dfa217ae0d8593c0c06af6785a5cbfc5dc5d9e25461f5c",
"source/semantic_model.py": "b019358cbcaa214743cbd244d20eb6e59eeff0ab5264093ec0927be8529b25a2",
"source/spatial.py": "d13abe399ef049e21a6459a7003461afaae0c00e0c560262c6cf375de4c9884a",
"status.json": "4648768f5075911521d8c21f9bfa64ed6e19376a1a7618b34374e134a0f43051",
"step_00000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_00000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_00000/ema/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
"step_00000/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_00000/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_00000/raw/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
"step_00250/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_00250/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_00250/ema/model.safetensors": "a4c3a7c207c9520232bdcab4cd0cbbdde9d4fbb2b6c2624cfff29173721a5e76",
"step_00250/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_00250/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_00250/raw/model.safetensors": "a8659ca36e7750370133cb738715f3ae4d7170d7d445046ff7e2ff24afe77a26",
"step_00500/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_00500/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_00500/ema/model.safetensors": "13d7f5cd9aae77c5a152c3763a0bd2cf17dd32f6a460cf4defca0e96b061ece9",
"step_00500/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_00500/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_00500/raw/model.safetensors": "372040b2f86aa4cc9efa402893a8fa15791636e2378a5a94496cdfeace4ebeab",
"step_00750/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_00750/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_00750/ema/model.safetensors": "cc1b549a5b72606a8e708b80170f486d85ecaecc76f3d104fc25ad1c2d5e2612",
"step_00750/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_00750/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_00750/raw/model.safetensors": "641620e82f45eaeef037058498df1e07fadd8383400d3f136dced885bca405e3",
"step_01000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_01000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_01000/ema/model.safetensors": "3626dda7015856bf61b2d4416b7c4bbb0f9330815d8e7762380d7913aee4296f",
"step_01000/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_01000/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_01000/raw/model.safetensors": "ef8b0fb4c20529c4a7c3158f5a9dc220cfd30271dc2b910cea5ea58fe5f0e5c8",
"step_01250/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_01250/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_01250/ema/model.safetensors": "d4ee5508ef57a7528c8fc793e79120f6e86fb2e5000f0cfa5dcf6dac08241def",
"step_01250/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_01250/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_01250/raw/model.safetensors": "80e636b39f3a8e80240eb514ac387a700877d3d13d3f5106b3aae09dbe6ba058",
"step_01500/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_01500/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_01500/ema/model.safetensors": "d4daa62be7de47d6451beb0eaaf9d6a6f6d1af80f72de0ccc07ee289f3739c74",
"step_01500/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_01500/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_01500/raw/model.safetensors": "36d1160ae25e27ea266f17de5bb158b45979e82971cbff841be65a1132c8b77b",
"step_01750/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_01750/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_01750/ema/model.safetensors": "cc0d54c84814894861196861b553003b3dae17715abe82d2f2797c52d705fff7",
"step_01750/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_01750/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_01750/raw/model.safetensors": "6de9a116146eef069d2155f4b0b3c496ade38e72d565a8ef5e8c3519b0c1163c",
"step_02000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_02000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_02000/ema/model.safetensors": "58693b85bada69c1a93799abc814aba9a696fb0ba8ef2984c9765ccac7590283",
"step_02000/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_02000/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_02000/raw/model.safetensors": "dbd3f811773e3acd53f9adf75b5d801c8164cbb9d3bb49875b5582ff3215c0f8",
"step_02250/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_02250/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_02250/ema/model.safetensors": "00df18263cb379a822b1234a77fce528dc4f56ffdc1d1e2416d07ab1e61c1ce7",
"step_02250/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_02250/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_02250/raw/model.safetensors": "c29bbba51cc1224e8aedccf889f15992627bb903d5ffe5c2d6d72eef9e67ca8d",
"step_02500/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_02500/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_02500/ema/model.safetensors": "3f318d5dbe78fca8268b6053895d4805a6e653304176f05afe83aded32c1d090",
"step_02500/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_02500/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_02500/raw/model.safetensors": "f45bde41f6eb65d9ad7746f9fd3b315797923635bdc244782bbb60acb938548a",
"step_02750/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_02750/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_02750/ema/model.safetensors": "2a519a74c8d4aa2a92efbc13f409b6d17aae87b2bb99130a1f9839f629294007",
"step_02750/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_02750/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_02750/raw/model.safetensors": "6005d9d6cd2458e5482604563c0971dbd138003588a2d2183be1377c56bae806",
"step_03000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_03000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_03000/ema/model.safetensors": "00fcdc317c3a71c547707353c85492c34edc5fe7d71ea003a957f05cf629987b",
"step_03000/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_03000/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_03000/raw/model.safetensors": "e0c18fb326d9fe5cd0b8c4f6c35aed743adc15433d0eb6cf65bb598f11eabc9f",
"step_03250/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_03250/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_03250/ema/model.safetensors": "2fd76737d9e8cd20d318301b73646e466bf2771b99c01689bdf1e872fe3274b3",
"step_03250/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_03250/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_03250/raw/model.safetensors": "cfbc2754fb5a388ed5835ec1d931715b211e5b2488015a57e4dc855b6db32f93",
"step_03500/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_03500/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_03500/ema/model.safetensors": "7e37e1b2195356779c46a2661e503b57ab3644936d14c89d8a6bc6268de5497c",
"step_03500/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_03500/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_03500/raw/model.safetensors": "9bcca1d5bfd1a962de5cb4974d6371880a1f5b49a1e3b6dbc285f6caa30000a9",
"step_03750/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_03750/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_03750/ema/model.safetensors": "b40fdde600f6b96f1a0e2542f28636d05de556eafab4a5315a9d530540b983ec",
"step_03750/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_03750/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_03750/raw/model.safetensors": "9e91feb548f3ec9f2f417ed94d7cdfc033c8deaba9176934468bb143cbe53db5",
"step_04000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_04000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_04000/ema/model.safetensors": "632fbe323236c2a75265b74bef1ad42254885a7fb19f36019d68ea4e335e3143",
"step_04000/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
"step_04000/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
"step_04000/raw/model.safetensors": "49a388356d20d1e1d912cdd0e518c49764cc080cc672807b57493424cc71dd66",
"train.py": "e372111f759524e0744311c8207938f45d0c6b53d77d53ccd2ef615e36917527",
"v3_diagnostics.json": "ff394a6bbcb8a025b0d1c92561521e935e860e4b5c93c92bc77e507887425d41",
"v3_heldout.json": "edd3db382686b1a4aeb1ec4b346f46040663c9c669275f75aaf5818b3a5b899a"
}