Text Classification
PEFT
Safetensors
English
jeff
lora
decision-model
safety
calibration
File size: 1,509 Bytes
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{
  "model": "spam",
  "state": {
    "channel": "sms",
    "message": "Your parcel could not be delivered. Pay the 1.99 redelivery fee within 24 hours at parcel-redeliver-help.example to avoid return."
  },
  "questions": {
    "is_spam": {
      "type": "noul",
      "instructions": "Is this message spam or phishing? Answer yes if it is unwanted bulk or advertising, or a scam trying to get personal details or money; answer no if it is a normal message.",
      "criteria": {
        "false": "The message is a normal message: not unwanted bulk or advertising, and not a scam.",
        "true": "The message is spam (unwanted bulk or advertising) or phishing (a scam trying to get personal details, passwords or money)."
      }
    },
    "message_type": {
      "type": "choice",
      "instructions": "What kind of message is this: a legitimate message, spam (unwanted bulk or advertising), or phishing (a scam trying to get personal details, passwords or money)?",
      "criteria": {
        "legitimate": "A normal message from a person or a genuine organisation, not spam and not phishing.",
        "spam": "Unwanted bulk or advertising message (for example prizes, offers, premium-rate services), but not trying to steal personal or account details.",
        "phishing": "A scam message that tries to trick the reader into giving personal details, passwords or money, often by pretending to be a bank, company or authority and asking them to click a link or call a number."
      }
    }
  }
}