Kanha Qwen3 PIT checkpoint

Run identity

• Run ID: kanha.ai-1.7b-pit-quality-v1
• Base model: Qwen/Qwen3-1.7B
• Base model revision: 70d244cc86ccca08cf5af4e1e306ecf908b1ad5e
• Tokenizer revision: 70d244cc86ccca08cf5af4e1e306ecf908b1ad5e
• Training method: PIT document continuation plus Q&A
• Final merged dtype: bfloat16
• Source site: https://kanha.ai
• Training identity hash: 16baaea4d1c5a89dce8f3cdb27922bd9dbe51a1891b1b8bf5d90a3364406a7f7
• Train documents: 17
• Evaluation documents: 0
• Train Q&A pairs: 170
• Evaluation Q&A pairs: 0

Hyperparameters

• Max length: 2048
• Epochs: 20.0
• Learning rate: 1e-05
• Batch size: 8
• Grad accum: 2
• Seed: 42
• System prompt: "You are a helpful assistant. Answer the user's question accurately and concisely."
• Weight decay: 0.1
• Adam beta1: 0.9
• Adam beta2: 0.95
• Adam epsilon: 1e-08
• Warmup steps: 0
• Max grad norm: 1.0
• Bf16: true
• Tf32: true
• Gradient checkpointing: true
• Learning rate schedule: "cosine_with_0.1_minimum"
• Optimizer: "adamw_torch"
• Logging steps: 1
• Save strategy: "epoch"
• Save total limit: 3
• Data seed: 42
• Report to: "none"
• Remove unused columns: false

Evaluation

• dates_recall: 1.0
• deterministic_pass_rate: 0.0
• list_recall: 0.07884615384615384
• numbers_recall: 0.7307692307692307
• refusal_rate: 0.0
• total: 26
• unsupported_value_rate: 0.6538461538461539
• urls_recall: 1.0

MLC availability

Limitations

Provenance artifacts

• research/run-manifest.json
• research/training-config.json
• research/publication-inventory.json
• research/evaluation/metrics.json
• research/evaluation/evaluation-manifest.json