[transformers] You passed `num_labels=2` which is incompatible to the `id2label` map of length `3`.

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[transformers] DebertaV2ForSequenceClassification LOAD REPORT from: /root/autodl-tmp/hf_models/nli-deberta-v3-base
Key               | Status   |                                                                                       
------------------+----------+---------------------------------------------------------------------------------------
classifier.weight | MISMATCH | Reinit due to size mismatch - ckpt: torch.Size([3, 768]) vs model:torch.Size([2, 768])
classifier.bias   | MISMATCH | Reinit due to size mismatch - ckpt: torch.Size([3]) vs model:torch.Size([2])          

Notes:
- MISMATCH:	ckpt weights were loaded, but they did not match the original empty weight shapes.

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{
  "backbone": "/root/autodl-tmp/hf_models/nli-deberta-v3-base",
  "batch_size": 1,
  "dev_metrics": {
    "demote_recall": 1.0,
    "event_all_type_consistency": 1.0,
    "fn": 0,
    "fp": 0,
    "old_target_all_type_consistency": 1.0,
    "pair_accuracy": 1.0,
    "protect_recall": 1.0,
    "target_all_type_consistency": 1.0,
    "tn": 1225,
    "tp": 175
  },
  "dev_rows": 1400,
  "device": "cuda",
  "epochs": 1,
  "export": "representative_checkpoint",
  "lr": 2e-05,
  "margin": 1.0,
  "max_length": 192,
  "module": "ConvMemory v3 Validity Context Layer",
  "notes": [
    "The released checkpoint implements the v511 query-conditioned validity method.",
    "Multi-seed quality claims should cite the v511/v513/v514 evaluation packets, not this single checkpoint alone.",
    "Default mode is context annotation; demotion is explicit opt-in for dense current-state/update workloads."
  ],
  "params": 184423682,
  "role_weight": 1.0,
  "seed": 7,
  "source_config": "results/v514_v3_freeze_config/final_config.json",
  "source_method_metrics": "results/v511_memora_retrieval_demotion_benchmark_5seed/REPORT.md",
  "source_recipe": "experiments/v511_memora_retrieval_demotion_benchmark.py",
  "threshold": 0.5,
  "train_frac": 0.8,
  "train_rows": 5520,
  "train_seconds": 31.500682814978063,
  "training_curves": [
    {
      "ce_loss": 0.27147598006590473,
      "epoch": 1,
      "role_loss": 0.17152404859223389,
      "train_loss": 0.4430000293751895
    }
  ],
  "wall_seconds": 39.408347606658936
}