adapters/big_math-feedback-self_supervised/resolved_training_config.json

{
  "condition": "big_math-feedback-self_supervised",
  "context_manifest_sha256": "1ddfabc585c01cb7db748cacb93240142ca53acfe996db15251bc2c64bb208f3",
  "manifest_sha256": "df9804754787fe0b85eac459378af44180badf64bdbf9b256ca2adbfac634d9c",
  "model": {
    "repo": "Qwen/Qwen2.5-7B-Instruct",
    "revision": "a09a35458c702b33eeacc393d103063234e8bc28"
  },
  "schema_version": 1,
  "shared_query_ids_sha256": "0f1a717432f0d6fe9c77931d4e4ca312116d7a6641e4506afd52f73c3abf56a4",
  "smoke": false,
  "training": {
    "effective_batch_size": 16,
    "fresh_rollout_exposures": 13776,
    "gradient_checkpointing": true,
    "gradient_checkpointing_use_reentrant": false,
    "gradient_clip": 1.0,
    "learning_rate": 1e-05,
    "lora_alpha": 32,
    "lora_dropout": 0.0,
    "lora_rank": 16,
    "microbatch_size": 1,
    "objective": "full_vocabulary_forward_kl_teacher_to_student",
    "optimizer": "AdamW",
    "optimizer_steps": 861,
    "precision": "bfloat16",
    "scheduler": "constant",
    "target_modules": [
      "q_proj",
      "k_proj",
      "v_proj",
      "o_proj",
      "gate_proj",
      "up_proj",
      "down_proj"
    ],
    "weight_decay": 0.01
  }
}