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Eeshan082004
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quotedesk-student

PEFT
Safetensors
quotedesk
lora
extraction
synthetic-data
Model card Files
xet
 Community
quotedesk-student
File size: 2,965 Bytes
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{
  "system": "base",
  "model": "unsloth/gemma-3-270m-it (3-shot)",
  "created": "2026-10-01T03:18:27",
  "splits": {
    "exam": {
      "n": 150,
      "intent_accuracy": 0.5067,
      "json_validity_rate": 0.66,
      "item_precision": 0.1703,
      "item_recall": 0.1794,
      "item_f1": 0.1747,
      "quantity_accuracy": 0.3052,
      "part_number_accuracy": 0.2174,
      "compatible_with_accuracy": 0.0,
      "missing_info_precision": 0.0,
      "missing_info_recall": 0.0,
      "missing_info_f1": 0.0,
      "urgency_accuracy": 0.56,
      "exact_match_rate": 0.0067,
      "per_intent_accuracy": {
        "order_status": 0.0,
        "other": 0.0,
        "product_question": 0.5,
        "quote_request": 0.6875,
        "return_request": 0.23076923076923078
      },
      "per_intent_n": {
        "order_status": 16,
        "other": 11,
        "product_question": 14,
        "quote_request": 96,
        "return_request": 13
      },
      "latency_p50_s": 1.2609,
      "latency_p95_s": 1.8841,
      "escalation_rate": null,
      "cost_per_1k_usd": null,
      "wall_time_s": 0.0,
      "errors": 0
    },
    "exam_hard": {
      "n": 30,
      "intent_accuracy": 0.3667,
      "json_validity_rate": 0.4667,
      "item_precision": 0.2791,
      "item_recall": 0.2727,
      "item_f1": 0.2759,
      "quantity_accuracy": 0.6316,
      "part_number_accuracy": 0.0,
      "compatible_with_accuracy": 0.0,
      "missing_info_precision": 0.0,
      "missing_info_recall": 0.0,
      "missing_info_f1": 0.0,
      "urgency_accuracy": 0.6,
      "exact_match_rate": 0.0333,
      "per_intent_accuracy": {
        "order_status": 0.0,
        "product_question": 0.6666666666666666,
        "quote_request": 0.36
      },
      "per_intent_n": {
        "order_status": 2,
        "product_question": 3,
        "quote_request": 25
      },
      "latency_p50_s": 0.908,
      "latency_p95_s": 1.0846,
      "escalation_rate": null,
      "cost_per_1k_usd": null,
      "wall_time_s": 0.0,
      "errors": 0
    }
  },
  "pricing": {
    "teacher": {
      "model": "gemini-3.8-flash",
      "input_per_1m_usd": 0.75,
      "output_per_1m_usd": 3.75,
      "note": "Google's published paid-tier price (standard), thinking tokens billed as output; valid through 2026-12-31. Our calls go through the KIE.ai proxy; credits actually spent are logged separately.",
      "source": "https://ai.google.dev/gemini-api/docs/pricing",
      "verified": "2026-09-30",
      "label": "measured tokens x published paid-tier price"
    },
    "student_cpu": {
      "basis": "Modal CPU container, 2 cores + 4 GiB: 2 x $0.0000131/core/s + 4 x $0.00000222/GiB/s",
      "usd_per_second": 3.51e-05,
      "source": "https://modal.com/pricing",
      "verified": "2026-09-30",
      "label": "estimate: inference seconds x container price (excludes idle time)"
    }
  },
  "hardware": "Tesla T4",
  "fewshot_ids": [
    "S00001",
    "S00003",
    "S00007"
  ]
}