1059 lines
32 KiB
JSON
1059 lines
32 KiB
JSON
|
{
|
||
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"adapter_path": "runs/qwen3_14b_restricted_score_ce/adapter",
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"allowed_scores": [
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"1",
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"2",
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"3",
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"4",
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"5"
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],
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"artifacts": {
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"config.yaml": {
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"data": {
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"columns": {
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"benchmark": "benchmark",
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"example_id": "instance_id",
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||
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"judge_1_score": "score_gpt4o",
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||
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"judge_2_score": "score_sonnet",
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||
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"model_id": "model_id",
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||
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"question": "question",
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"reference_answer": "ground_truth",
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"response": "response",
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"source": "source",
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"task": "task"
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},
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"filters": {
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"max_disagreement": 1,
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"max_response_tokens": 4096,
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"on_sequence_overflow": "skip"
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},
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"path": "data/processed/response_scores.parquet",
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"prepared_dir": null,
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"preprocessing_num_workers": 40,
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"token_length_batch_size": 2048,
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"tokenizers_parallelism": true
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},
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"distributed": {
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"backend": "nccl",
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"deepspeed": {
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"config_overrides": {},
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"gradient_clipping": "auto",
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"offload_optimizer_device": "none",
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"offload_param_device": "none",
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"stage3_gather_16bit_weights_on_model_save": true,
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"zero_stage": 2
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},
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"enabled": true,
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"find_unused_parameters": false,
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"fsdp": {
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"activation_checkpointing": true,
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"sharding_strategy": "full_shard",
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"transformer_layer_cls_to_wrap": null,
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"use_orig_params": true
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},
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"gradient_checkpointing": false,
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"mixed_precision": "bf16",
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"strategy": "ddp"
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},
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"evaluation": {
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3072,
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4096,
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1000000000
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]
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},
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"hub": {
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"commit_message": "Upload ADeLe distilled judge",
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"create_pr": false,
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"local_checkpoint_dir": null,
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"max_shard_size": "5GB",
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"output_staging_dir": null,
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"private": false,
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"repo_id": null
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},
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"inference": {
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"allow_base_model": true,
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"allowed_scores": [
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"1",
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"2",
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"3",
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"4",
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"5"
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],
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"batch_size": 64,
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"binary_threshold": 3,
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"generation_fallback": false,
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"method": "restricted_continuation_logprobs_fast",
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"require_adapter": false
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},
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"model": {
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"adapter_path": null,
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"attn_implementation": "sdpa",
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"model_name_or_path": "Qwen/Qwen3-14B",
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"revision": null,
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"thinking_mode": {
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"apply_if_supported": true,
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"enabled": false
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},
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"trust_remote_code": true
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},
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"project": {
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"output_dir": "runs/qwen3_14b_restricted_score_ce",
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"run_name": "qwen3_14b_restricted_score_ce",
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"seed": 42
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},
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"prompt": {
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"system_prompt": "You are an answer quality evaluator. You will receive a question, a reference\nanswer, and a model response, each delimited by ### headers.\n\nRate the model response on the following scale:\n1 - Surely incorrect: the response is wrong or completely misses the point.\n2 - Likely incorrect: the response has significant errors or critical omissions.\n3 - Minimally correct / sufficient: the response is partially correct or borderline.\n4 - Likely correct: the response is mostly correct with minor issues.\n5 - Surely correct: the response is fully correct and complete.\n\nRules:\n- Base your rating strictly on correctness relative to the reference answer.\n- Ignore writing style, verbosity, or formatting unless they affect correctness.\n- If the final answer is correct but the reasoning contains substantive errors, lower the rating according to the severity of those errors.\n- Output only a single integer from 1 to 5. No explanation. No punctuation.\n"
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},
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"split": {
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"held_out_model": null,
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"lomo_validation_fraction": 0.05,
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"lomo_validation_max_examples": 30000,
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"lomo_validation_seed": 42,
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"mode": "fixed_by_model",
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"train_models": "auto_except_val_test",
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"validation_models": [
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"gemini-3-flash",
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||
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"DK-R1-Dist-Qwen-14B",
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"llama3d2-3b"
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||
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]
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},
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"training": {
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"cache_tokenized_datasets": true,
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"class_weighting": null,
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"dtype": "bfloat16",
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"eval_steps": 500,
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"eval_subset_seed": 42,
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"eval_subset_size": null,
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"eval_subset_strategy": "stratified",
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"eval_subset_stratify_columns": [
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"model_id",
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"target_score"
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],
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"gradient_accumulation_steps": 4,
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"learning_rate": 3e-05,
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"length_column_name": "length",
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"load_in_4bit": true,
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"logging_steps": 10,
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"lora_alpha": 64,
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"lora_dropout": 0.0,
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"lora_r": 32,
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"loss": {
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"class_weights": null,
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"lambda_binary": 0.5,
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"type": "ce_5way"
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},
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"lr_scheduler_type": "cosine",
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"max_grad_norm": 1.0,
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"max_seq_length": 4096,
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"num_train_epochs": 1,
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"objective": "restricted_score_ce",
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"optim": "adamw_8bit",
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"packing": false,
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"per_device_eval_batch_size": 2,
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"per_device_train_batch_size": 2,
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"resume_from_checkpoint": null,
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"save_steps": 500,
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"save_total_limit": 10,
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"score_class_weights": null,
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"seed": 42,
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"target_modules": "auto",
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"train_sampling_strategy": "random",
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"warmup_ratio": 0.03,
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"weight_decay": 0.0
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}
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},
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"dataset_filtering_report.json": {
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"after_disagreement_filter": 287811,
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"after_response_length_filter": 285310,
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"effective_prompt_budget_tokens": 0,
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"examples_after_sequence_filter": 285158,
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"examples_before_sequence_filter": 285310,
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"filter_stage_distributions": {
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"after_disagreement_filter": {
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"benchmark": {
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"ChemLLMBench": 28771,
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"Civil Service Examination": 7234,
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"Data Analysis": 617,
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"GRE & GMAT": 3737,
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"LSAT": 16530,
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"Language": 470,
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"MCTACO": 3734,
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"MMLU-Pro": 98811,
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"Math": 3001,
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"MedCalcBench": 9804,
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"TempReason": 11519,
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"TimeDial": 6087,
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"TimeQA": 13083,
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"TruthQuest": 18972
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},
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"model_id": {
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"DK-R1-Dist-Qwen-7B": 15215,
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"gemini-2.5-flash": 14468,
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"gemini-3-flash": 15106,
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"gpt-5.2": 14241,
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"target_binary": {
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},
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"target_score": {
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"1": 89963,
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"4": 11341,
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"5": 176148
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},
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"task": {
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"Discrete Mathematics": 5475,
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"E": 6185,
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"Geometry": 5928,
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"I": 6651,
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"LSAT-AR": 3290,
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"LSAT-RC": 4632,
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"biology": 8307,
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"business": 7478,
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"chemistry": 6672,
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"computer science": 6271,
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"connections": 470,
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"cta": 617,
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"date": 491,
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"diagnosis": 211,
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"dosage": 372,
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"economics": 7831,
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"engineering": 5291,
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"health": 7479,
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"history": 5520,
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"lab": 3165,
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"law": 6462,
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"math": 7719,
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"math_comp": 1394,
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"molecule_design": 4313,
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"name_prediction": 8652,
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"other": 7799,
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"philosophy": 7334,
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"physical": 3929,
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"physics": 6828,
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"psychology": 7820,
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"reaction_prediction": 6929,
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"retrosynthesis": 6236,
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"risk": 1353,
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"severity": 283,
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"spatial": 582,
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},
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},
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"task": {
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"Calculus": 516,
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"Chemistry": 2502,
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"Date Arithmetic": 9167,
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"Discrete Mathematics": 5235,
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"E": 6164,
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"I": 6647,
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"S": 6128,
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"E": 6532,
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|
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|
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|
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|
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|
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|
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|
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|
||
|
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|
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"S": 6460,
|
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|
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|
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|
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|
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|
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|
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|
||
|
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"TimeQA-implicit": 6544,
|
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|
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"biology": 8483,
|
||
|
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|
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|
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"chemistry": 6981,
|
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|
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|
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"connections": 550,
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|
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"dosage": 380,
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|
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"health": 7793,
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|
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|
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"law": 6797,
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|
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"math": 8070,
|
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|
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|
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|
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|
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|
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|
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"name_prediction": 9036,
|
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|
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"olympiad": 491,
|
||
|
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"other": 8129,
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|
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"philosophy": 7617,
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||
|
|
"physical": 4029,
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||
|
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"physics": 7160,
|
||
|
|
"psychology": 8094,
|
||
|
|
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|
||
|
|
"retrosynthesis": 7214,
|
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|
|
"risk": 1587,
|
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|
|
"severity": 321,
|
||
|
|
"spatial": 638,
|
||
|
|
"zebra_puzzle": 418
|
||
|
|
}
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"kept_prompt_token_length": {
|
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|
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"max": 4093,
|
||
|
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|
||
|
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"min": 252,
|
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|
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|
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|
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|
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|
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|
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"p95": 1659.0,
|
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|
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"p99": 2596.0
|
||
|
|
},
|
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|
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"kept_sequence_length": {
|
||
|
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"max": 4095,
|
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|
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"mean": 855.0326345394483,
|
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|
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"min": 254,
|
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|
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|
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|
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"p75": 990.0,
|
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|
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"p90": 1332.0,
|
||
|
|
"p95": 1661.0,
|
||
|
|
"p99": 2598.0
|
||
|
|
},
|
||
|
|
"length_filter_warnings": [
|
||
|
|
"max_response_tokens is greater than or equal to max_seq_length; examples can pass the response cap while having no room for the formatted prompt.",
|
||
|
|
"Effective prompt budget is only 0 tokens after reserving the response cap; consider increasing training.max_seq_length."
|
||
|
|
],
|
||
|
|
"max_disagreement": 1,
|
||
|
|
"max_response_tokens": 4096,
|
||
|
|
"max_seq_length": 4096,
|
||
|
|
"on_sequence_overflow": "skip",
|
||
|
|
"overflowed_response_token_length": {
|
||
|
|
"max": 4096,
|
||
|
|
"mean": 3629.6052631578946,
|
||
|
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"min": 1582,
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|
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"p50": 3875.5,
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|
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|
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|
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"p90": 4051.0,
|
||
|
|
"p95": 4075.6,
|
||
|
|
"p99": 4091.45
|
||
|
|
},
|
||
|
|
"raw_examples": 304346,
|
||
|
|
"removed_by_disagreement": 16535,
|
||
|
|
"removed_by_disagreement_pct": 5.432961169195587,
|
||
|
|
"removed_by_response_length": 2501,
|
||
|
|
"removed_by_response_length_pct": 0.8689730413361546,
|
||
|
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|
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"sequence_overflow_pct": 0.05327538466930706,
|
||
|
|
"sequence_overflow_reason": "Full chat-formatted sequence exceeded max_seq_length after response filtering. This includes system prompt, question, reference answer, model response, and chat-template tokens, plus target score tokens."
|
||
|
|
},
|
||
|
|
"inference_config.yaml": {
|
||
|
|
"data": {
|
||
|
|
"columns": {
|
||
|
|
"benchmark": "benchmark",
|
||
|
|
"example_id": "instance_id",
|
||
|
|
"judge_1_score": "score_gpt4o",
|
||
|
|
"judge_2_score": "score_sonnet",
|
||
|
|
"model_id": "model_id",
|
||
|
|
"question": "question",
|
||
|
|
"reference_answer": "ground_truth",
|
||
|
|
"response": "response",
|
||
|
|
"source": "source",
|
||
|
|
"task": "task"
|
||
|
|
},
|
||
|
|
"filters": {
|
||
|
|
"max_disagreement": 1,
|
||
|
|
"max_response_tokens": 4096,
|
||
|
|
"on_sequence_overflow": "skip"
|
||
|
|
},
|
||
|
|
"path": "data/processed/response_scores.parquet",
|
||
|
|
"prepared_dir": null,
|
||
|
|
"preprocessing_num_workers": 5,
|
||
|
|
"token_length_batch_size": 2048,
|
||
|
|
"tokenizers_parallelism": true
|
||
|
|
},
|
||
|
|
"distributed": {
|
||
|
|
"backend": "nccl",
|
||
|
|
"deepspeed": {
|
||
|
|
"config_overrides": {},
|
||
|
|
"gradient_clipping": "auto",
|
||
|
|
"offload_optimizer_device": "none",
|
||
|
|
"offload_param_device": "none",
|
||
|
|
"stage3_gather_16bit_weights_on_model_save": true,
|
||
|
|
"zero_stage": 2
|
||
|
|
},
|
||
|
|
"enabled": true,
|
||
|
|
"find_unused_parameters": false,
|
||
|
|
"fsdp": {
|
||
|
|
"activation_checkpointing": true,
|
||
|
|
"sharding_strategy": "full_shard",
|
||
|
|
"transformer_layer_cls_to_wrap": null,
|
||
|
|
"use_orig_params": true
|
||
|
|
},
|
||
|
|
"gradient_checkpointing": true,
|
||
|
|
"mixed_precision": "bf16",
|
||
|
|
"strategy": "ddp"
|
||
|
|
},
|
||
|
|
"evaluation": {
|
||
|
|
"length_buckets": [
|
||
|
|
0,
|
||
|
|
256,
|
||
|
|
512,
|
||
|
|
1024,
|
||
|
|
2048,
|
||
|
|
3072,
|
||
|
|
4096,
|
||
|
|
1000000000
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"hub": {
|
||
|
|
"commit_message": "Upload ADeLe distilled judge",
|
||
|
|
"create_pr": false,
|
||
|
|
"local_checkpoint_dir": null,
|
||
|
|
"max_shard_size": "5GB",
|
||
|
|
"output_staging_dir": null,
|
||
|
|
"private": false,
|
||
|
|
"repo_id": null
|
||
|
|
},
|
||
|
|
"inference": {
|
||
|
|
"allow_base_model": true,
|
||
|
|
"allowed_scores": [
|
||
|
|
"1",
|
||
|
|
"2",
|
||
|
|
"3",
|
||
|
|
"4",
|
||
|
|
"5"
|
||
|
|
],
|
||
|
|
"batch_size": 64,
|
||
|
|
"binary_threshold": 3,
|
||
|
|
"generation_fallback": false,
|
||
|
|
"method": "restricted_continuation_logprobs_fast",
|
||
|
|
"require_adapter": false
|
||
|
|
},
|
||
|
|
"model": {
|
||
|
|
"adapter_path": "runs/qwen3_14b_restricted_score_ce/adapter",
|
||
|
|
"attn_implementation": "sdpa",
|
||
|
|
"model_name_or_path": "Qwen/Qwen3-14B",
|
||
|
|
"revision": null,
|
||
|
|
"thinking_mode": {
|
||
|
|
"apply_if_supported": true,
|
||
|
|
"enabled": false
|
||
|
|
},
|
||
|
|
"trust_remote_code": true
|
||
|
|
},
|
||
|
|
"project": {
|
||
|
|
"output_dir": "runs/qwen3_14b_restricted_score_ce",
|
||
|
|
"run_name": "qwen3_14b_restricted_score_ce",
|
||
|
|
"seed": 42
|
||
|
|
},
|
||
|
|
"prompt": {
|
||
|
|
"system_prompt": "You are an answer quality evaluator. You will receive a question, a reference\nanswer, and a model response, each delimited by ### headers.\n\nRate the model response on the following scale:\n1 - Surely incorrect: the response is wrong or completely misses the point.\n2 - Likely incorrect: the response has significant errors or critical omissions.\n3 - Minimally correct / sufficient: the response is partially correct or borderline.\n4 - Likely correct: the response is mostly correct with minor issues.\n5 - Surely correct: the response is fully correct and complete.\n\nRules:\n- Base your rating strictly on correctness relative to the reference answer.\n- Ignore writing style, verbosity, or formatting unless they affect correctness.\n- If the final answer is correct but the reasoning contains substantive errors, lower the rating according to the severity of those errors.\n- Output only a single integer from 1 to 5. No explanation. No punctuation.\n"
|
||
|
|
},
|
||
|
|
"split": {
|
||
|
|
"held_out_model": null,
|
||
|
|
"lomo_validation_fraction": 0.05,
|
||
|
|
"lomo_validation_max_examples": 30000,
|
||
|
|
"lomo_validation_seed": 42,
|
||
|
|
"mode": "fixed_by_model",
|
||
|
|
"train_models": "auto_except_val_test",
|
||
|
|
"validation_models": [
|
||
|
|
"gemini-3-flash",
|
||
|
|
"DK-R1-Dist-Qwen-14B",
|
||
|
|
"llama3d2-3b"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"training": {
|
||
|
|
"cache_tokenized_datasets": true,
|
||
|
|
"class_weighting": null,
|
||
|
|
"dtype": "bfloat16",
|
||
|
|
"eval_steps": 500,
|
||
|
|
"eval_subset_seed": 42,
|
||
|
|
"eval_subset_size": null,
|
||
|
|
"eval_subset_strategy": "stratified",
|
||
|
|
"eval_subset_stratify_columns": [
|
||
|
|
"model_id",
|
||
|
|
"target_score"
|
||
|
|
],
|
||
|
|
"gradient_accumulation_steps": 4,
|
||
|
|
"learning_rate": 3e-05,
|
||
|
|
"length_column_name": "length",
|
||
|
|
"load_in_4bit": true,
|
||
|
|
"logging_steps": 10,
|
||
|
|
"lora_alpha": 64,
|
||
|
|
"lora_dropout": 0.0,
|
||
|
|
"lora_r": 32,
|
||
|
|
"loss": {
|
||
|
|
"class_weights": null,
|
||
|
|
"lambda_binary": 0.5,
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