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omida-ai
/
pluto-1

Text Classification
PyTorch
Safetensors
English
decision-model
system-one
calibrated-decisions
typed-decisions
choice
noul
score
ensemble
modernbert
deberta
Model card Files
xet
 Community
pluto-1
File size: 3,004 Bytes
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{
  "format": "pluto-task-1",
  "qids": {
    "action": 0,
    "review": 1,
    "outcome": 2,
    "risk": 3,
    "urgency": 4,
    "category": 5,
    "human": 6,
    "severity": 7,
    "disposition": 8,
    "duplicate": 9,
    "order": 10,
    "compromise": 11,
    "positive": 12
  },
  "n_classes": {
    "action": 5,
    "review": 2,
    "outcome": 4,
    "risk": 4,
    "urgency": 4,
    "category": 5,
    "human": 2,
    "severity": 5,
    "disposition": 4,
    "duplicate": 2,
    "order": 2,
    "compromise": 2,
    "positive": 2
  },
  "kinds": {
    "action": "choice",
    "review": "noul",
    "outcome": "choice",
    "risk": "score",
    "urgency": "score",
    "category": "choice",
    "human": "noul",
    "severity": "score",
    "disposition": "choice",
    "duplicate": "noul",
    "order": "noul",
    "compromise": "noul",
    "positive": "noul"
  },
  "vocab_size": 128001,
  "model_name": "pluto-1-deberta",
  "training": {
    "data": "data/pluto-typed-only",
    "out": "artifacts/pluto-typed-deberta",
    "backbone": "microsoft/deberta-v3-base",
    "init": "none",
    "tokenizer": "microsoft/deberta-v3-base",
    "epochs": 8.0,
    "batch_size": 16,
    "max_len": 384,
    "lr": 1e-05,
    "head_lr": 0.0005,
    "freeze_layers": 6,
    "grad_clip": 1.0,
    "seed": 53
  },
  "calibration": {
    "temperature": {
      "choice": 1.2249749898910522,
      "noul": 1.3188161849975586,
      "score": 1.3833255767822266
    }
  },
  "metrics": {
    "model": "pluto-typed",
    "benchmark": "LocalLLaMA/typed-decisions",
    "mode": "fitted on train",
    "n_decisions": 2000,
    "accuracy": 0.711,
    "ece": 0.10864835740625857,
    "brier": 0.4019103944301605,
    "nll": 0.6982178688049316,
    "per_kind": {
      "choice": {
        "n": 600,
        "accuracy": 0.6433333333333333,
        "ece": 0.09454844221472741
      },
      "noul": {
        "n": 600,
        "accuracy": 0.8266666666666667,
        "ece": 0.07666520804166793
      },
      "score": {
        "n": 800,
        "accuracy": 0.675,
        "ece": 0.14437313050031664
      }
    },
    "temperatures": {
      "choice": 1.2249749898910522,
      "noul": 1.3188161849975586,
      "score": 1.3833255767822266
    },
    "validation": {
      "n": 300,
      "accuracy": 0.74,
      "ece": 0.1383799741665522,
      "brier": 0.38873958587646484,
      "nll": 0.6865395903587341,
      "per_kind": {
        "choice": {
          "n": 90,
          "accuracy": 0.7555555555555555,
          "ece": 0.20956675708293912
        },
        "noul": {
          "n": 90,
          "accuracy": 0.8888888888888888,
          "ece": 0.1182247890366448
        },
        "score": {
          "n": 120,
          "accuracy": 0.6166666666666667,
          "ece": 0.10029492701093357
        }
      }
    },
    "best_val_accuracy": 0.74
  },
  "tensor_prefix": "deberta."
}