{ "adapter_id": "study-executable_code", "adapter_tree_digest": "11dffdb7e1250a38d48edcba1cefa5410c2d767e2db88bff98adbacaef0a0216", "base_model": { "id": "HuggingFaceTB/SmolLM2-360M-Instruct", "revision": "a10cc1512eabd3dde888204e902eca88bddb4951" }, "config": { "adapter": { "alpha": 32, "batch_size": 2, "dropout": 0.05, "epochs": 5, "gradient_accumulation": 1, "learning_rate": 0.0002, "max_length": 256, "method": "LoRA", "r": 16, "target_modules": [ "q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj" ] }, "model": { "base_id": "HuggingFaceTB/SmolLM2-360M-Instruct", "base_revision": "a10cc1512eabd3dde888204e902eca88bddb4951" }, "seed": 17, "source": "corpus/study-v1/train.jsonl" }, "config_sha256": "0e895d02eaa868593a1fe60c76c7d8d0dfbd4dfcdb3f082b9cddcc396b44ad17", "corpus_manifest_sha256": "2259fad8ba4fc3134d9de5ff4885e4898ae82192d10b4a2ca90aead7d8726dbc", "domains": [ "executable_code" ], "epochs": 5, "mean_loss": 0.14086018255725502, "role": "specialist", "status": "complete", "study_id": "fleet-study-v1", "train_corpus_sha256": "b208a7dab05a34494e9672facb27341ec70d512b4f7b6f1df02d7d72b4188f4f", "train_rows": 100 }