Feature Extraction
Transformers
Safetensors
multilingual
qwen3_5_text
qwen3.5
classification-backbone
text-classification
knowledge-distillation
model-compression
edge-ai
Instructions to use mp-juuuns/qwen35-standalone4l-classification-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mp-juuuns/qwen35-standalone4l-classification-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mp-juuuns/qwen35-standalone4l-classification-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mp-juuuns/qwen35-standalone4l-classification-base") model = AutoModel.from_pretrained("mp-juuuns/qwen35-standalone4l-classification-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "schema": "standalone4l-complete-transfer-benchmark-v2", | |
| "status": "complete_from_frozen_reports", | |
| "claim_scope": "Exploratory fresh-head transfer evidence on one English task and a previously opened 55-article SemEval-derived test split.", | |
| "headless_root_requires_adaptation": true, | |
| "test_previously_opened": true, | |
| "test_articles": 55, | |
| "test_windows": 434, | |
| "seeds": [ | |
| 41, | |
| 42, | |
| 43 | |
| ], | |
| "three_seed_sd_is_not_confidence_interval": true, | |
| "multilingual_downstream_evaluation_performed": false, | |
| "upstream_multilingual_metadata": { | |
| "source": "Qwen/Qwen3.5-0.8B official model card", | |
| "languages_and_dialects_claimed_upstream": 201, | |
| "scope": "inherited tokenizer and architecture coverage only" | |
| }, | |
| "protocol": { | |
| "epochs": 5, | |
| "primary_epoch": 5, | |
| "early_stopping": false, | |
| "max_length": 256, | |
| "stride": 128, | |
| "window_target": "span-aligned technique labels", | |
| "article_aggregation": "labelwise maximum probability", | |
| "micro_batch_size": 1, | |
| "gradient_accumulation": 32, | |
| "effective_batch_size": 32, | |
| "learning_rate": 2e-05, | |
| "weight_decay": 0.01, | |
| "gradient_clip": 1.0, | |
| "optimizer": "AdamW", | |
| "dtype": "bfloat16", | |
| "thresholds": [ | |
| 0.05, | |
| 0.1, | |
| 0.15, | |
| 0.2, | |
| 0.25, | |
| 0.3, | |
| 0.35, | |
| 0.4, | |
| 0.45, | |
| 0.5, | |
| 0.55, | |
| 0.6, | |
| 0.65, | |
| 0.7, | |
| 0.75, | |
| 0.8, | |
| 0.85, | |
| 0.9 | |
| ], | |
| "threshold_selection": "epoch-5 calibration macro-F1, then micro-F1" | |
| }, | |
| "arms": { | |
| "task_agnostic_base": { | |
| "display": "Task-agnostic KD base", | |
| "lineage": "root base plus a fresh 14-label transfer head", | |
| "metrics": { | |
| "macro_f1": { | |
| "values": [ | |
| 0.5883093293517536, | |
| 0.6028379036218096, | |
| 0.5712816197954101 | |
| ], | |
| "mean": 0.5874762842563245, | |
| "sample_sd": 0.01579462678670608, | |
| "n": 3 | |
| }, | |
| "micro_f1": { | |
| "values": [ | |
| 0.6468085106382978, | |
| 0.6655172413793103, | |
| 0.6465256797583082 | |
| ], | |
| "mean": 0.6529504772586388, | |
| "sample_sd": 0.010884055708931178, | |
| "n": 3 | |
| }, | |
| "exact_match": { | |
| "values": [ | |
| 0.05454545454545454, | |
| 0.03636363636363636, | |
| 0.0 | |
| ], | |
| "mean": 0.0303030303030303, | |
| "sample_sd": 0.027773186030035393, | |
| "n": 3 | |
| }, | |
| "predicted_positive_rate": { | |
| "values": [ | |
| 0.5714285714285714, | |
| 0.4090909090909091, | |
| 0.5155844155844156 | |
| ], | |
| "mean": 0.4987012987012987, | |
| "sample_sd": 0.08247520160679181, | |
| "n": 3 | |
| } | |
| }, | |
| "resources": { | |
| "parameters": { | |
| "values": [ | |
| 334111040.0, | |
| 334111040.0, | |
| 334111040.0 | |
| ], | |
| "mean": 334111040.0, | |
| "sample_sd": 0.0, | |
| "n": 3 | |
| }, | |
| "peak_cuda_allocated_bytes": { | |
| "values": [ | |
| 3380975616.0, | |
| 3380975616.0, | |
| 3380975616.0 | |
| ], | |
| "mean": 3380975616.0, | |
| "sample_sd": 0.0, | |
| "n": 3 | |
| }, | |
| "peak_cuda_reserved_bytes": { | |
| "values": [ | |
| 3519021056.0, | |
| 3519021056.0, | |
| 3510632448.0 | |
| ], | |
| "mean": 3516224853.3333335, | |
| "sample_sd": 4843165.086926248, | |
| "n": 3 | |
| }, | |
| "total_wall_seconds": { | |
| "values": [ | |
| 1583.0297977919981, | |
| 1588.617994428001, | |
| 1603.4310500120046 | |
| ], | |
| "mean": 1591.692947410668, | |
| "sample_sd": 10.54249851412311, | |
| "n": 3 | |
| }, | |
| "test_seconds_per_article": { | |
| "values": [ | |
| 0.08164824154545468, | |
| 0.07871871667289683, | |
| 0.08355205721825107 | |
| ], | |
| "mean": 0.08130633847886752, | |
| "sample_sd": 0.0024347419754560395, | |
| "n": 3 | |
| } | |
| }, | |
| "thresholds": [ | |
| 0.15, | |
| 0.3, | |
| 0.1 | |
| ] | |
| }, | |
| "structural_copy_control": { | |
| "display": "Structural copy, no task-free KD", | |
| "lineage": "same four-layer structure without task-free KD", | |
| "metrics": { | |
| "macro_f1": { | |
| "values": [ | |
| 0.5169424579262757, | |
| 0.5349405779540175, | |
| 0.5023778364496152 | |
| ], | |
| "mean": 0.5180869574433028, | |
| "sample_sd": 0.016311512588628545, | |
| "n": 3 | |
| }, | |
| "micro_f1": { | |
| "values": [ | |
| 0.5773955773955775, | |
| 0.6083445491251682, | |
| 0.585635359116022 | |
| ], | |
| "mean": 0.5904584952122559, | |
| "sample_sd": 0.01602830914762526, | |
| "n": 3 | |
| }, | |
| "exact_match": { | |
| "values": [ | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "mean": 0.0, | |
| "sample_sd": 0.0, | |
| "n": 3 | |
| }, | |
| "predicted_positive_rate": { | |
| "values": [ | |
| 0.712987012987013, | |
| 0.6207792207792208, | |
| 0.5961038961038961 | |
| ], | |
| "mean": 0.6432900432900432, | |
| "sample_sd": 0.06160737456395461, | |
| "n": 3 | |
| } | |
| }, | |
| "resources": { | |
| "parameters": { | |
| "values": [ | |
| 334111040.0, | |
| 334111040.0, | |
| 334111040.0 | |
| ], | |
| "mean": 334111040.0, | |
| "sample_sd": 0.0, | |
| "n": 3 | |
| }, | |
| "peak_cuda_allocated_bytes": { | |
| "values": [ | |
| 3380975616.0, | |
| 3380975616.0, | |
| 3380975616.0 | |
| ], | |
| "mean": 3380975616.0, | |
| "sample_sd": 0.0, | |
| "n": 3 | |
| }, | |
| "peak_cuda_reserved_bytes": { | |
| "values": [ | |
| 3519021056.0, | |
| 3519021056.0, | |
| 3510632448.0 | |
| ], | |
| "mean": 3516224853.3333335, | |
| "sample_sd": 4843165.086926248, | |
| "n": 3 | |
| }, | |
| "total_wall_seconds": { | |
| "values": [ | |
| 1575.5905925639963, | |
| 1623.5639530190092, | |
| 1629.195114912989 | |
| ], | |
| "mean": 1609.4498868319981, | |
| "sample_sd": 29.457874198835384, | |
| "n": 3 | |
| }, | |
| "test_seconds_per_article": { | |
| "values": [ | |
| 0.07877608058201573, | |
| 0.08307423260041767, | |
| 0.08163602005436339 | |
| ], | |
| "mean": 0.08116211107893226, | |
| "sample_sd": 0.002187914527825257, | |
| "n": 3 | |
| } | |
| }, | |
| "thresholds": [ | |
| 0.05, | |
| 0.2, | |
| 0.2 | |
| ] | |
| }, | |
| "existing_specialized_separate_lineage": { | |
| "display": "Existing specialized 4L, separate lineage", | |
| "lineage": "historical task-specific shrink/distillation lineage", | |
| "metrics": { | |
| "macro_f1": { | |
| "values": [ | |
| 0.5832848452288824, | |
| 0.5958405181160762, | |
| 0.5835785045218137 | |
| ], | |
| "mean": 0.5875679559555907, | |
| "sample_sd": 0.007165753447433348, | |
| "n": 3 | |
| }, | |
| "micro_f1": { | |
| "values": [ | |
| 0.6494252873563218, | |
| 0.6458616010854816, | |
| 0.6486486486486486 | |
| ], | |
| "mean": 0.647978512363484, | |
| "sample_sd": 0.0018739735696546695, | |
| "n": 3 | |
| }, | |
| "exact_match": { | |
| "values": [ | |
| 0.0, | |
| 0.0, | |
| 0.01818181818181818 | |
| ], | |
| "mean": 0.006060606060606061, | |
| "sample_sd": 0.01049727762162956, | |
| "n": 3 | |
| }, | |
| "predicted_positive_rate": { | |
| "values": [ | |
| 0.5597402597402598, | |
| 0.612987012987013, | |
| 0.5688311688311688 | |
| ], | |
| "mean": 0.5805194805194805, | |
| "sample_sd": 0.02848274311618351, | |
| "n": 3 | |
| } | |
| }, | |
| "resources": { | |
| "parameters": { | |
| "values": [ | |
| 210903360.0, | |
| 210903360.0, | |
| 210903360.0 | |
| ], | |
| "mean": 210903360.0, | |
| "sample_sd": 0.0, | |
| "n": 3 | |
| }, | |
| "peak_cuda_allocated_bytes": { | |
| "values": [ | |
| 2143655936.0, | |
| 2143655936.0, | |
| 2143655936.0 | |
| ], | |
| "mean": 2143655936.0, | |
| "sample_sd": 0.0, | |
| "n": 3 | |
| }, | |
| "peak_cuda_reserved_bytes": { | |
| "values": [ | |
| 2281701376.0, | |
| 2281701376.0, | |
| 2273312768.0 | |
| ], | |
| "mean": 2278905173.3333335, | |
| "sample_sd": 4843165.086926248, | |
| "n": 3 | |
| }, | |
| "total_wall_seconds": { | |
| "values": [ | |
| 1634.488557530014, | |
| 1652.9397718419787, | |
| 1643.488202479988 | |
| ], | |
| "mean": 1643.6388439506602, | |
| "sample_sd": 9.226529522850198, | |
| "n": 3 | |
| }, | |
| "test_seconds_per_article": { | |
| "values": [ | |
| 0.0847959352360869, | |
| 0.08598086021798239, | |
| 0.08552987641781908 | |
| ], | |
| "mean": 0.08543555729062946, | |
| "sample_sd": 0.0005980667826383295, | |
| "n": 3 | |
| } | |
| }, | |
| "thresholds": [ | |
| 0.1, | |
| 0.05, | |
| 0.05 | |
| ] | |
| } | |
| }, | |
| "same_seed_macro_f1_deltas_base_minus_control": [ | |
| 0.07136687142547793, | |
| 0.06789732566779205, | |
| 0.06890378334579494 | |
| ], | |
| "mean_macro_f1_delta_base_minus_control": 0.06938932681302164, | |
| "publication_gate_passed": true, | |
| "per_label_summary": [ | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Appeal_to_Authority", | |
| "support": 11, | |
| "precision_mean": 0.3958614484930274, | |
| "precision_sample_sd": 0.1238064457010119, | |
| "recall_mean": 0.5757575757575757, | |
| "recall_sample_sd": 0.05248638810814781, | |
| "f1_mean": 0.4657088122605364, | |
| "f1_sample_sd": 0.1020990126979069 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Appeal_to_fear-prejudice", | |
| "support": 24, | |
| "precision_mean": 0.5540244550770866, | |
| "precision_sample_sd": 0.02525673990402998, | |
| "recall_mean": 0.7361111111111112, | |
| "recall_sample_sd": 0.13393959390267993, | |
| "f1_mean": 0.6277521761392729, | |
| "f1_sample_sd": 0.04994879016183189 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Bandwagon,Reductio_ad_hitlerum", | |
| "support": 7, | |
| "precision_mean": 0.4851851851851852, | |
| "precision_sample_sd": 0.07882887649552875, | |
| "recall_mean": 0.8095238095238095, | |
| "recall_sample_sd": 0.08247860988423221, | |
| "f1_mean": 0.6006778309409889, | |
| "f1_sample_sd": 0.04793776258918466 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Black-and-White_Fallacy", | |
| "support": 12, | |
| "precision_mean": 0.3667929292929293, | |
| "precision_sample_sd": 0.07670649392711647, | |
| "recall_mean": 0.47222222222222227, | |
| "recall_sample_sd": 0.09622504486493764, | |
| "f1_mean": 0.4053892966936445, | |
| "f1_sample_sd": 0.04211369218048746 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Causal_Oversimplification", | |
| "support": 18, | |
| "precision_mean": 0.5428824049513704, | |
| "precision_sample_sd": 0.039216350192122156, | |
| "recall_mean": 0.7962962962962963, | |
| "recall_sample_sd": 0.11564811108145183, | |
| "f1_mean": 0.6446992723588468, | |
| "f1_sample_sd": 0.0634561308339175 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Doubt", | |
| "support": 22, | |
| "precision_mean": 0.5223832528180354, | |
| "precision_sample_sd": 0.06742780050556177, | |
| "recall_mean": 0.9848484848484849, | |
| "recall_sample_sd": 0.026243194054073875, | |
| "f1_mean": 0.6802057822343391, | |
| "f1_sample_sd": 0.04928561754686331 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Exaggeration,Minimisation", | |
| "support": 22, | |
| "precision_mean": 0.4620811287477954, | |
| "precision_sample_sd": 0.016801198309751, | |
| "recall_mean": 0.7727272727272727, | |
| "recall_sample_sd": 0.15745916432444337, | |
| "f1_mean": 0.5727040816326531, | |
| "f1_sample_sd": 0.03645259990419198 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Flag-Waving", | |
| "support": 17, | |
| "precision_mean": 0.5642642642642642, | |
| "precision_sample_sd": 0.1478145677656334, | |
| "recall_mean": 0.8235294117647058, | |
| "recall_sample_sd": 0.1764705882352941, | |
| "f1_mean": 0.6464506172839506, | |
| "f1_sample_sd": 0.035742219952758225 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Loaded_Language", | |
| "support": 45, | |
| "precision_mean": 0.8649032907793016, | |
| "precision_sample_sd": 0.046984312428427724, | |
| "recall_mean": 0.9851851851851852, | |
| "recall_sample_sd": 0.012830005981991702, | |
| "f1_mean": 0.9208741623431562, | |
| "f1_sample_sd": 0.03200926878737141 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Name_Calling,Labeling", | |
| "support": 33, | |
| "precision_mean": 0.7380952380952381, | |
| "precision_sample_sd": 0.0047619047619048005, | |
| "recall_mean": 0.9090909090909091, | |
| "recall_sample_sd": 0.10925912955951485, | |
| "f1_mean": 0.8125087983911513, | |
| "f1_sample_sd": 0.04252971464057227 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Repetition", | |
| "support": 23, | |
| "precision_mean": 0.5196620583717357, | |
| "precision_sample_sd": 0.021645909050194662, | |
| "recall_mean": 0.7536231884057971, | |
| "recall_sample_sd": 0.06641414050660639, | |
| "f1_mean": 0.6147520781519571, | |
| "f1_sample_sd": 0.03505927109416221 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Slogans", | |
| "support": 14, | |
| "precision_mean": 0.5161361626878869, | |
| "precision_sample_sd": 0.20305677930281646, | |
| "recall_mean": 0.7380952380952381, | |
| "recall_sample_sd": 0.10910894511799614, | |
| "f1_mean": 0.5834824090638044, | |
| "f1_sample_sd": 0.09862686289220693 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Thought-terminating_Cliches", | |
| "support": 7, | |
| "precision_mean": 0.3492063492063492, | |
| "precision_sample_sd": 0.143516994603374, | |
| "recall_mean": 0.3333333333333333, | |
| "recall_sample_sd": 0.08247860988423225, | |
| "f1_mean": 0.319014319014319, | |
| "f1_sample_sd": 0.04017590711117064 | |
| }, | |
| { | |
| "arm": "task_agnostic_base", | |
| "label": "Whataboutism,Straw_Men,Red_Herring", | |
| "support": 10, | |
| "precision_mean": 0.2761904761904762, | |
| "precision_sample_sd": 0.05302632726504782, | |
| "recall_mean": 0.5, | |
| "recall_sample_sd": 0.2645751311064591, | |
| "f1_mean": 0.330448343079922, | |
| "f1_sample_sd": 0.021845164720973014 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Appeal_to_Authority", | |
| "support": 11, | |
| "precision_mean": 0.26003086419753085, | |
| "precision_sample_sd": 0.06281357095350094, | |
| "recall_mean": 0.5757575757575758, | |
| "recall_sample_sd": 0.262431940540739, | |
| "f1_mean": 0.35477582846003897, | |
| "f1_sample_sd": 0.11479479036518875 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Appeal_to_fear-prejudice", | |
| "support": 24, | |
| "precision_mean": 0.5104813315339631, | |
| "precision_sample_sd": 0.038427508996734555, | |
| "recall_mean": 0.8611111111111112, | |
| "recall_sample_sd": 0.024056261216234387, | |
| "f1_mean": 0.6401745363877202, | |
| "f1_sample_sd": 0.029305467347150463 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Bandwagon,Reductio_ad_hitlerum", | |
| "support": 7, | |
| "precision_mean": 0.2876623376623376, | |
| "precision_sample_sd": 0.061386823077618426, | |
| "recall_mean": 0.8571428571428571, | |
| "recall_sample_sd": 0.14285714285714285, | |
| "f1_mean": 0.4306391777656145, | |
| "f1_sample_sd": 0.08686392624022733 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Black-and-White_Fallacy", | |
| "support": 12, | |
| "precision_mean": 0.31339031339031337, | |
| "precision_sample_sd": 0.08301311842925053, | |
| "recall_mean": 0.5277777777777778, | |
| "recall_sample_sd": 0.2678791878053599, | |
| "f1_mean": 0.38778427550357375, | |
| "f1_sample_sd": 0.13069755090515112 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Causal_Oversimplification", | |
| "support": 18, | |
| "precision_mean": 0.4464201043148412, | |
| "precision_sample_sd": 0.013538446216471536, | |
| "recall_mean": 0.9259259259259259, | |
| "recall_sample_sd": 0.03207501495497923, | |
| "f1_mean": 0.6023809523809524, | |
| "f1_sample_sd": 0.018643640071557464 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Doubt", | |
| "support": 22, | |
| "precision_mean": 0.4455314009661836, | |
| "precision_sample_sd": 0.04067072694857813, | |
| "recall_mean": 1.0, | |
| "recall_sample_sd": 0.0, | |
| "f1_mean": 0.615686274509804, | |
| "f1_sample_sd": 0.039427200694482675 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Exaggeration,Minimisation", | |
| "support": 22, | |
| "precision_mean": 0.4364176150420584, | |
| "precision_sample_sd": 0.025093958106097894, | |
| "recall_mean": 0.8787878787878788, | |
| "recall_sample_sd": 0.05248638810814775, | |
| "f1_mean": 0.5829803047194351, | |
| "f1_sample_sd": 0.030899288356345502 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Flag-Waving", | |
| "support": 17, | |
| "precision_mean": 0.3814814814814815, | |
| "precision_sample_sd": 0.05010277503136551, | |
| "recall_mean": 0.803921568627451, | |
| "recall_sample_sd": 0.17970885078258195, | |
| "f1_mean": 0.5138595287119652, | |
| "f1_sample_sd": 0.06400931989326974 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Loaded_Language", | |
| "support": 45, | |
| "precision_mean": 0.8492581841638446, | |
| "precision_sample_sd": 0.016026591848331686, | |
| "recall_mean": 1.0, | |
| "recall_sample_sd": 0.0, | |
| "f1_mean": 0.9184311025253588, | |
| "f1_sample_sd": 0.009372233868132662 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Name_Calling,Labeling", | |
| "support": 33, | |
| "precision_mean": 0.6375, | |
| "precision_sample_sd": 0.03410563654946854, | |
| "recall_mean": 0.9696969696969697, | |
| "recall_sample_sd": 0.030303030303030276, | |
| "f1_mean": 0.7685185185185185, | |
| "f1_sample_sd": 0.02023900779105559 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Repetition", | |
| "support": 23, | |
| "precision_mean": 0.44863933452168747, | |
| "precision_sample_sd": 0.01520014564765896, | |
| "recall_mean": 0.9420289855072463, | |
| "recall_sample_sd": 0.06641414050660639, | |
| "f1_mean": 0.607248835423033, | |
| "f1_sample_sd": 0.019858627551810427 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Slogans", | |
| "support": 14, | |
| "precision_mean": 0.3274318274318274, | |
| "precision_sample_sd": 0.05434598572773684, | |
| "recall_mean": 0.4523809523809524, | |
| "recall_sample_sd": 0.1486904285332952, | |
| "f1_mean": 0.3715828924162258, | |
| "f1_sample_sd": 0.07106660236343577 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Thought-terminating_Cliches", | |
| "support": 7, | |
| "precision_mean": 0.1142156862745098, | |
| "precision_sample_sd": 0.012848374923608973, | |
| "recall_mean": 0.38095238095238093, | |
| "recall_sample_sd": 0.1649572197684645, | |
| "f1_mean": 0.17331433998100665, | |
| "f1_sample_sd": 0.029065880233243847 | |
| }, | |
| { | |
| "arm": "structural_copy_control", | |
| "label": "Whataboutism,Straw_Men,Red_Herring", | |
| "support": 10, | |
| "precision_mean": 0.19344598054275472, | |
| "precision_sample_sd": 0.03373872471827226, | |
| "recall_mean": 0.5666666666666667, | |
| "recall_sample_sd": 0.2081665999466133, | |
| "f1_mean": 0.28584083690299267, | |
| "f1_sample_sd": 0.06078854830133676 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Appeal_to_Authority", | |
| "support": 11, | |
| "precision_mean": 0.37836021505376344, | |
| "precision_sample_sd": 0.10546365636105155, | |
| "recall_mean": 0.6666666666666666, | |
| "recall_sample_sd": 0.2287828616748712, | |
| "f1_mean": 0.46885361552028215, | |
| "f1_sample_sd": 0.09502747629890008 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Appeal_to_fear-prejudice", | |
| "support": 24, | |
| "precision_mean": 0.525708635464733, | |
| "precision_sample_sd": 0.02235198659615819, | |
| "recall_mean": 0.8888888888888888, | |
| "recall_sample_sd": 0.048112522432468774, | |
| "f1_mean": 0.6599065351235072, | |
| "f1_sample_sd": 0.015362381542320084 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Bandwagon,Reductio_ad_hitlerum", | |
| "support": 7, | |
| "precision_mean": 0.44485144485144484, | |
| "precision_sample_sd": 0.016487284575115283, | |
| "recall_mean": 0.7619047619047619, | |
| "recall_sample_sd": 0.1649572197684645, | |
| "f1_mean": 0.5571428571428572, | |
| "f1_sample_sd": 0.051507875363771265 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Black-and-White_Fallacy", | |
| "support": 12, | |
| "precision_mean": 0.4662644544997486, | |
| "precision_sample_sd": 0.004538274146363688, | |
| "recall_mean": 0.5833333333333334, | |
| "recall_sample_sd": 0.08333333333333331, | |
| "f1_mean": 0.516747552149851, | |
| "f1_sample_sd": 0.03589484965697345 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Causal_Oversimplification", | |
| "support": 18, | |
| "precision_mean": 0.4472934472934473, | |
| "precision_sample_sd": 0.013055771210700413, | |
| "recall_mean": 0.8333333333333333, | |
| "recall_sample_sd": 0.1469861839480328, | |
| "f1_mean": 0.5781794553724379, | |
| "f1_sample_sd": 0.028407563015813122 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Doubt", | |
| "support": 22, | |
| "precision_mean": 0.5045661001171619, | |
| "precision_sample_sd": 0.023581174969843577, | |
| "recall_mean": 1.0, | |
| "recall_sample_sd": 0.0, | |
| "f1_mean": 0.6704939668174963, | |
| "f1_sample_sd": 0.020973132363659372 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Exaggeration,Minimisation", | |
| "support": 22, | |
| "precision_mean": 0.44589793281653745, | |
| "precision_sample_sd": 0.010987847993006481, | |
| "recall_mean": 0.9393939393939394, | |
| "recall_sample_sd": 0.06943296507508849, | |
| "f1_mean": 0.6043956043956044, | |
| "f1_sample_sd": 0.022305256187015846 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Flag-Waving", | |
| "support": 17, | |
| "precision_mean": 0.5576388888888889, | |
| "precision_sample_sd": 0.03705367103320583, | |
| "recall_mean": 0.8823529411764706, | |
| "recall_sample_sd": 0.11764705882352944, | |
| "f1_mean": 0.680769868923179, | |
| "f1_sample_sd": 0.04164658769406446 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Loaded_Language", | |
| "support": 45, | |
| "precision_mean": 0.8387650085763294, | |
| "precision_sample_sd": 0.01782556577257849, | |
| "recall_mean": 1.0, | |
| "recall_sample_sd": 0.0, | |
| "f1_mean": 0.9122448979591837, | |
| "f1_sample_sd": 0.01060439269940129 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Name_Calling,Labeling", | |
| "support": 33, | |
| "precision_mean": 0.6957104190221673, | |
| "precision_sample_sd": 0.019201490809269257, | |
| "recall_mean": 0.9696969696969697, | |
| "recall_sample_sd": 0.030303030303030276, | |
| "f1_mean": 0.8101049442821594, | |
| "f1_sample_sd": 0.022092733328802537 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Repetition", | |
| "support": 23, | |
| "precision_mean": 0.4781557067271353, | |
| "precision_sample_sd": 0.009897987322673213, | |
| "recall_mean": 0.9420289855072463, | |
| "recall_sample_sd": 0.06641414050660639, | |
| "f1_mean": 0.6337774426009719, | |
| "f1_sample_sd": 0.016444118333485254 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Slogans", | |
| "support": 14, | |
| "precision_mean": 0.4334215167548501, | |
| "precision_sample_sd": 0.05811581861282867, | |
| "recall_mean": 0.6904761904761905, | |
| "recall_sample_sd": 0.1649572197684645, | |
| "f1_mean": 0.5201316298877274, | |
| "f1_sample_sd": 0.018567913895656114 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Thought-terminating_Cliches", | |
| "support": 7, | |
| "precision_mean": 0.18446115288220552, | |
| "precision_sample_sd": 0.03641251252864963, | |
| "recall_mean": 0.6666666666666666, | |
| "recall_sample_sd": 0.1649572197684645, | |
| "f1_mean": 0.2868626868626869, | |
| "f1_sample_sd": 0.0511620864429468 | |
| }, | |
| { | |
| "arm": "existing_specialized_separate_lineage", | |
| "label": "Whataboutism,Straw_Men,Red_Herring", | |
| "support": 10, | |
| "precision_mean": 0.2777777777777778, | |
| "precision_sample_sd": 0.0481125224324688, | |
| "recall_mean": 0.4, | |
| "recall_sample_sd": 0.0, | |
| "f1_mean": 0.32634032634032634, | |
| "f1_sample_sd": 0.03229931575886014 | |
| } | |
| ], | |
| "compression_ladder": [ | |
| { | |
| "name": "24L upstream text teacher", | |
| "layers": 24, | |
| "parameters": 752393024, | |
| "weight_bytes": 1504825632, | |
| "weight_mib": 1435.1135559082031, | |
| "weight_sha256": "30783da4651259c26b8a204821ea426b9526431e0c14da0d1c6fa284e7414e5e", | |
| "kd_stage": "", | |
| "mean_total_loss": "", | |
| "mean_interface_loss": "", | |
| "mean_final_loss": "" | |
| }, | |
| { | |
| "name": "8L task-free KD", | |
| "layers": 8, | |
| "parameters": 420318144, | |
| "weight_bytes": 840647880, | |
| "weight_mib": 801.7042922973633, | |
| "weight_sha256": "086fbaf9a4838ecde56cd3541c9c3212b22d0c5ee745cf2c1c5e0bb31e0ec22c", | |
| "kd_stage": "24to8", | |
| "mean_total_loss": 0.17622653172702485, | |
| "mean_interface_loss": 0.21562811763578793, | |
| "mean_final_loss": 0.16626427527853593 | |
| }, | |
| { | |
| "name": "6L task-free KD", | |
| "layers": 6, | |
| "parameters": 377207424, | |
| "weight_bytes": 754423424, | |
| "weight_mib": 719.4742431640625, | |
| "weight_sha256": "492749c20f77a42f6bc993f0927a82217b94f872b7eacf25612f7520c9bc28ce", | |
| "kd_stage": "8to6", | |
| "mean_total_loss": 0.03382104352249371, | |
| "mean_interface_loss": 0.04486069045515251, | |
| "mean_final_loss": 0.031147060785087888 | |
| }, | |
| { | |
| "name": "4L task-free KD root", | |
| "layers": 4, | |
| "parameters": 334096704, | |
| "weight_bytes": 668198976, | |
| "weight_mib": 637.2442016601562, | |
| "weight_sha256": "2732c616772fe320cdea228ab4554981418b1b2bf615c4183fb1ac8e6e2168d3", | |
| "kd_stage": "6to4", | |
| "mean_total_loss": 0.047020394468859195, | |
| "mean_interface_loss": 0.07048421185527332, | |
| "mean_final_loss": 0.043119939065377366 | |
| } | |
| ] | |
| } | |