namkoong-lab/LatentGym_Qwen3-8B_10episodes_MultiLatent_secretary
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Model: namkoong-lab/LatentGym_Qwen3-8B_10episodes_MultiLatent_secretary
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2026-07-17 13:07:54 +08:00
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{
"base_model": "Qwen/Qwen3-8B",
"copied_at": "2026-06-08T16:48:27.766023Z",
"eval_envs": [
"secretary"
],
"held_out_envs": [],
"mode_prefix": "10episodes",
"n_episodes": 10,
"new_name": "LatentGym_Qwen3-8B_10episodes_MultiLatent_secretary_best",
"scope_key": "MultiLatent_secretary",
"sha256": {
"added_tokens.json": "c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680",
"chat_template.jinja": "a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8",
"config.json": "38a8a5a58ef8dfdfe121758e5ed011e66d9e46f42c4dde7b0ed4d111f0596775",
"generation_config.json": "64d86df2173901c58389974bde21f7d2ab9eb7d79f35a337753329d39cf265c0",
"merges.txt": "8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5",
"model-00001-of-00004.safetensors": "760f985649769c5692c77e2a707ddee799d376fa94d4be0eea90d85cff862efd",
"model-00002-of-00004.safetensors": "be257af18dfcd4e79b240d2dcc43e8c6098977354bf27a4bcecf593f5b325c73",
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"model.safetensors.index.json": "e7e4bdc58d3302c97357f27979b270987dd620cf0cd9b1c130e3a51c9d64df95",
"special_tokens_map.json": "76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd",
"tokenizer_config.json": "443bfa629eb16387a12edbf92a76f6a6f10b2af3b53d87ba1550adfcf45f7fa0"
},
"shards": [
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"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors"
],
"small_files": [
"config.json",
"generation_config.json",
"tokenizer_config.json",
"special_tokens_map.json",
"added_tokens.json",
"chat_template.jinja",
"merges.txt",
"model.safetensors.index.json"
],
"source_hydra_config_path": "/pscratch/sd/n/nye1030/TrainExplore/V1_3Lats/Qwen3-8B_v1_secretary_3lats_ne=10_tbs=32_nsp=8_mbs=16_plr=5e-07_kl=0.04_seed=263/hydra/.hydra/config.yaml",
"source_job_dir": "/pscratch/sd/n/nye1030/TrainExplore/V1_3Lats/Qwen3-8B_v1_secretary_3lats_ne=10_tbs=32_nsp=8_mbs=16_plr=5e-07_kl=0.04_seed=263",
"source_step": "global_step_270",
"train_envs": [
"secretary"
],
"trained_latents": {
"secretary": [
"sorted_order",
"inverse_order",
"fixed_position_2"
]
},
"variant": "best"
}