quotedesk-student / eval.json
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QuoteDesk student v1
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{
"system": "tuned",
"model": "unsloth/gemma-3-270m-it+lora:v1",
"created": "2026-10-01T03:14:17",
"splits": {
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"intent_accuracy": 0.9933,
"json_validity_rate": 0.9933,
"item_precision": 0.9725,
"item_recall": 0.9538,
"item_f1": 0.9631,
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"part_number_accuracy": 1.0,
"compatible_with_accuracy": 0.8696,
"missing_info_precision": 0.1613,
"missing_info_recall": 0.0909,
"missing_info_f1": 0.1163,
"urgency_accuracy": 0.98,
"exact_match_rate": 0.5733,
"per_intent_accuracy": {
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"other": 1.0,
"product_question": 1.0,
"quote_request": 0.9895833333333334,
"return_request": 1.0
},
"per_intent_n": {
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"product_question": 14,
"quote_request": 96,
"return_request": 13
},
"latency_p50_s": 1.2402,
"latency_p95_s": 1.7012,
"escalation_rate": null,
"cost_per_1k_usd": null,
"wall_time_s": 0.0,
"errors": 0
},
"exam": {
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},
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"errors": 0
},
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"per_intent_accuracy": {
"order_status": 0.5,
"product_question": 1.0,
"quote_request": 0.56
},
"per_intent_n": {
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"product_question": 3,
"quote_request": 25
},
"latency_p50_s": 0.7219,
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"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)"
}
},
"adapter_version": "v1",
"hardware": "Tesla T4",
"latency_note": "GPU batch latency; CPU latency is measured separately in eval/run_eval.py",
"run_config": {
"version_tag": "v1",
"base_model": "unsloth/gemma-3-270m-it",
"epochs": 3,
"learning_rate": 0.0002,
"lora_r": 16,
"lora_alpha": 32,
"lora_dropout": 0.0,
"batch_size": 8,
"grad_accum": 2,
"warmup_ratio": 0.05,
"seed": 3407,
"max_seq_len": 640,
"max_new_tokens": 384,
"train_examples": 1334,
"corrections": 0,
"train_seconds": 564.4,
"gpu": "Tesla T4",
"platform": "kaggle",
"dataset_manifest": {
"version_tag": "v1",
"created": "2026-09-30T21:42:39",
"git_sha": null,
"counts": {
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"val.jsonl": 150,
"exam.jsonl": 150,
"exam_hard.jsonl": 30,
"fewshot.jsonl": 3
},
"corrections": 0,
"sha256": {
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"customers.json": "b650b859b37bd2c3c33c703aaea9e227cf186558789e7e88f5fd53b7352a1bef",
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"evallib/normalize.py": "0c663091219f7a14baa37307863c8ea9e066b87e46f045abc38e3176f13069a3",
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"versions": {
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"transformers": "4.56.2",
"trl": "0.22.2",
"peft": "0.19.1",
"unsloth": "2026.9.12",
"unsloth_zoo": "2026.9.8",
"datasets": "4.3.0",
"accelerate": "1.13.0"
},
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}
}