Instructions to use itsalissonsilva/SecPaper-Selector-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use itsalissonsilva/SecPaper-Selector-4B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "itsalissonsilva/SecPaper-Selector-4B") - Notebooks
- Google Colab
- Kaggle
Download native_evaluation.json from itsalissonsilva/SecPaper-Selector-4B: direct link, hf CLI and curl.
- Browser
- Download file 4.89 kB
-
https://huggingface.co/itsalissonsilva/SecPaper-Selector-4B/resolve/main/native_evaluation.json
- Command line
-
hf download hf://itsalissonsilva/SecPaper-Selector-4B/native_evaluation.json
-
curl -L -o native_evaluation.json https://huggingface.co/itsalissonsilva/SecPaper-Selector-4B/resolve/main/native_evaluation.json
4.89 kB
| { | |
| "config": { | |
| "task": "evidence", | |
| "models": { | |
| "Qwen/Qwen3.5-4B": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a", | |
| "Qwen/Qwen3.6-35B-A3B": "995ad96eacd98c81ed38be0c5b274b04031597b0" | |
| }, | |
| "rates": { | |
| "Qwen/Qwen3.5-4B": { | |
| "train": 0.737, | |
| "prefill": 0.33, | |
| "sample": 1.005 | |
| }, | |
| "Qwen/Qwen3.6-35B-A3B": { | |
| "train": 1.177, | |
| "prefill": 0.45, | |
| "sample": 1.335 | |
| } | |
| }, | |
| "rows_sha256": "b3c542237dba50153d88d9358db3c05351bdfbd99fa6b7b87362b9751de5bde3", | |
| "epochs": 2, | |
| "seed": 2026110607, | |
| "rank": 16, | |
| "learning_rate": 8e-05, | |
| "batch_size": 16, | |
| "max_output": 160, | |
| "train_tokens_per_epoch": 1233757, | |
| "reserved_usd": 5.5, | |
| "scope": "Source-indexed passage selection on existing paper-disjoint annotations. Exact support-set agreement is a proxy, not human citation-entailment validation. Existing teacher labels can omit other valid passages. No full-paper or general agent claim.", | |
| "fixed_schedule": true | |
| }, | |
| "usage": { | |
| "train_tokens": 2467514, | |
| "sampling": { | |
| "Qwen/Qwen3.5-4B": { | |
| "input_tokens": 1197132, | |
| "output_tokens": 16190 | |
| }, | |
| "Qwen/Qwen3.6-35B-A3B": { | |
| "input_tokens": 598566, | |
| "output_tokens": 10810 | |
| } | |
| } | |
| }, | |
| "release_gate_passed": false, | |
| "requires_independent_hf_reload": true, | |
| "conditions": { | |
| "base": { | |
| "validation": { | |
| "n": 101, | |
| "accuracy": 0.45544554455445546, | |
| "balanced_accuracy": 0.5981566820276498, | |
| "by_category": { | |
| "abstain": 0.967741935483871, | |
| "answer": 0.22857142857142856 | |
| }, | |
| "leaks": 0, | |
| "mean_tokens": 41.12871287128713 | |
| }, | |
| "test": { | |
| "n": 156, | |
| "accuracy": 0.48717948717948717, | |
| "balanced_accuracy": 0.6095746709898913, | |
| "by_category": { | |
| "abstain": 0.9387755102040817, | |
| "answer": 0.2803738317757009 | |
| }, | |
| "leaks": 0, | |
| "mean_tokens": 39.18589743589744 | |
| } | |
| }, | |
| "challenger": { | |
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| "balanced_accuracy": 0.6928571428571428, | |
| "by_category": { | |
| "abstain": 1.0, | |
| "answer": 0.38571428571428573 | |
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| "leaks": 0, | |
| "mean_tokens": 43.75247524752475 | |
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| "accuracy": 0.6602564102564102, | |
| "balanced_accuracy": 0.7523364485981308, | |
| "by_category": { | |
| "abstain": 1.0, | |
| "answer": 0.5046728971962616 | |
| }, | |
| "leaks": 0, | |
| "mean_tokens": 40.967948717948715 | |
| } | |
| }, | |
| "candidate": { | |
| "validation": { | |
| "n": 101, | |
| "accuracy": 0.900990099009901, | |
| "balanced_accuracy": 0.9285714285714286, | |
| "by_category": { | |
| "abstain": 1.0, | |
| "answer": 0.8571428571428571 | |
| }, | |
| "leaks": 0, | |
| "mean_tokens": 23.633663366336634 | |
| }, | |
| "test": { | |
| "n": 156, | |
| "accuracy": 0.9551282051282052, | |
| "balanced_accuracy": 0.9672897196261683, | |
| "by_category": { | |
| "abstain": 1.0, | |
| "answer": 0.9345794392523364 | |
| }, | |
| "leaks": 0, | |
| "mean_tokens": 22.666666666666668 | |
| } | |
| }, | |
| "rules": { | |
| "validation": { | |
| "n": 101, | |
| "accuracy": 0.26732673267326734, | |
| "balanced_accuracy": 0.19285714285714287, | |
| "by_category": { | |
| "abstain": 0.0, | |
| "answer": 0.38571428571428573 | |
| }, | |
| "leaks": 0, | |
| "mean_tokens": 0.0 | |
| }, | |
| "test": { | |
| "n": 156, | |
| "accuracy": 0.2692307692307692, | |
| "balanced_accuracy": 0.19626168224299065, | |
| "by_category": { | |
| "abstain": 0.0, | |
| "answer": 0.3925233644859813 | |
| }, | |
| "leaks": 0, | |
| "mean_tokens": 0.0 | |
| } | |
| } | |
| }, | |
| "comparisons": { | |
| "base": { | |
| "groups": 103, | |
| "delta": 0.5275080906148868, | |
| "interval95": [ | |
| 0.4482200647249191, | |
| 0.6100323624595468 | |
| ] | |
| }, | |
| "challenger": { | |
| "groups": 103, | |
| "delta": 0.34012944983818777, | |
| "interval95": [ | |
| 0.2576051779935275, | |
| 0.42556634304207114 | |
| ] | |
| }, | |
| "rules": { | |
| "groups": 103, | |
| "delta": 0.6181229773462783, | |
| "interval95": [ | |
| 0.5307443365695793, | |
| 0.7022653721682848 | |
| ] | |
| } | |
| }, | |
| "per_request_token_cost_usd": { | |
| "base": 0.0007986441346153846, | |
| "challenger": 0.0010900499038461538, | |
| "candidate": 0.0007820423076923078, | |
| "rules": 0.0 | |
| }, | |
| "native_quality_gate_passed": true, | |
| "superior": true, | |
| "noninferior": true, | |
| "cheaper": false, | |
| "estimated_tokens_usd": 2.513668378 | |
| } | |