Spaces:
Running
Running
GRPO 3B v18 (temp=0.7, LR=2e-05, r=32, model=gemma-2-9b-it-bnb-4bit): 0.691->0.946 delta=+0.254
Browse files
training_results_grpo_3b_v18.json
ADDED
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{
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"env_url": "https://shasidharyadavr-netweaver-sre.hf.space",
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"model_name": "unsloth/gemma-2-9b-it-bnb-4bit",
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"training_method": "GRPO v18: 4-bit + LoRA r=32 (q_proj+k_proj+v_proj+o_proj+gate_proj+up_proj+down_proj), LR=2e-05, temp_train=temp_eval=0.7",
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"max_train_steps": 25,
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"num_generations": 4,
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"learning_rate": 2e-05,
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"lora_rank": 32,
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"lora_target_modules": [
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"q_proj",
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"k_proj",
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"v_proj",
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"o_proj",
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"gate_proj",
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"up_proj",
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"down_proj"
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],
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"training_temperature": 0.7,
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"eval_temperature": 0.7,
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"trainable_params": 108036096,
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"total_params": 5187943936,
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"training_rewards": [
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0.733,
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0.999,
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],
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"before_rewards": [
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],
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"after_rewards": [
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],
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"difficulty_breakdown": {
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"before": {
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"easy": 0.9,
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"medium": 0.6890000000000001,
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"hard": 0.6578333333333334
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},
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"after": {
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"easy": 0.999,
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| 81 |
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"medium": 0.999,
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| 82 |
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"hard": 0.8220000000000001
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}
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},
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"timestamp": "2026-04-26 08:25:03",
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"source": "grpo_3b_real_run_v18",
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"job_flavor": "a10g-large",
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"notes": "GRPO v18 on unsloth/gemma-2-9b-it-bnb-4bit (4-bit + LoRA r=32, targets=['q_proj', 'k_proj', 'v_proj', 'o_proj', 'gate_proj', 'up_proj', 'down_proj']) vs the live NetWeaver SRE env. Train temp = eval temp = 0.7, LR = 2e-05. Heuristic baseline preserved (separate filenames)."
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}
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