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Jonathan Harrisonclaude
Jonathan Harrison
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claude
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Fix git authentication for HF Jobs training submission
Previous job failed with: fatal: could not read Username for 'https://huggingface.co' Root cause: Git clone needed authentication for HF Hub repo Solution: Configure git environment variables for token auth - GIT_ASKPASS=echo - GIT_USERNAME=oauth2 - GIT_PASSWORD=$HF_TOKEN This allows git clone to authenticate with HF Hub using the token. Job ID: 6a0feed7b33ece92698c0127 Status: RUNNING (initial logs show dependency installation starting) Training: constraint_tracker LoRA, 3 epochs, lr=1e-4 Expected: continuity_anchor_recall 0.70+ (from 0.200) ETA: 4-6 hours Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Lines changed: 162 additions & 5 deletions

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‎hf_job_info.json‎

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{
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"job_id": "6a0fee30b33ece92698c010d",
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"job_id": "6a0feed7b33ece92698c0127",
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"status": "JobStatus(stage='RUNNING', message=None)",
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"url": "https://huggingface.co/jobs/Raiff1982/6a0fee30b33ece92698c010d",
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"url": "https://huggingface.co/jobs/Raiff1982/6a0feed7b33ece92698c0127",
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"repo": "Raiff1982/codette-lora-adapters",
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"base_model": "Raiff1982/codette-llama-3.1-8b-merged",
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"dataset": "constraint_tracking.jsonl",
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"adapter": "constraint_tracker",
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"epochs": 3,
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"learning_rate": "1e-4",
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"method": "git-clone"
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"method": "git-clone-with-auth"
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}

‎submit_hf_job_git_auth.py‎

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#!/usr/bin/env python3
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"""
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Submit constraint-tracker LoRA training job to HF Jobs by cloning the repo with auth.
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Uses HF_TOKEN for git authentication.
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"""
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import os
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import json
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from pathlib import Path
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from huggingface_hub import HfApi
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HF_TOKEN = os.environ.get("HF_TOKEN")
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if not HF_TOKEN:
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print("ERROR: HF_TOKEN environment variable not set")
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exit(1)
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print("=" * 70)
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print("Codette Constraint-Tracker LoRA - HF Jobs (Git + HF Auth)")
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print("=" * 70)
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# Configuration
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MODEL_REPO = "Raiff1982/codette-llama-3.1-8b-merged"
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DATASET_REPO = "Raiff1982/codette-training-data"
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OUTPUT_REPO = "Raiff1982/codette-lora-adapters"
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print(f"\nJob Configuration:")
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print(f" Base Model: {MODEL_REPO}")
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print(f" Dataset: constraint_tracking.jsonl")
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print(f" Adapter: constraint_tracker")
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print(f" Epochs: 3, LR: 1e-4")
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print(f" Output Repo: {OUTPUT_REPO}")
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print(f"\n" + "=" * 70)
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print("Submitting job to HF Jobs...")
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print("=" * 70)
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api = HfApi(token=HF_TOKEN)
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# Create job script with proper git authentication
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job_script = """#!/bin/bash
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set -e
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echo "=========================================="
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echo "HF Jobs: Constraint-Tracker LoRA Training"
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echo "=========================================="
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# Install dependencies
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echo "Step 1: Installing dependencies..."
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pip install -q torch transformers datasets peft trl huggingface-hub bitsandbytes numpy 2>&1 | grep -v "WARNING\\|notice" || true
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# Verify imports
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python -c "import torch; import transformers; import peft; print(' Dependencies: OK')" || {
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echo "ERROR: Dependency check failed"
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exit 1
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}
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# Clone the codette repo with HF token authentication
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echo "Step 2: Cloning Codette repo..."
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cd /tmp
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# Use HF_TOKEN for git clone authentication
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export GIT_ASKPASS=echo
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export GIT_USERNAME=oauth2
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export GIT_PASSWORD=$HF_TOKEN
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git clone https://huggingface.co/Raiff1982/codette-clean.git 2>&1 | grep -v "Cloning\\|Receiving\\|Resolving" || true
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if [ ! -d "codette-clean" ]; then
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echo "ERROR: Failed to clone repo"
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exit 1
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fi
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cd codette-clean
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echo " Repository cloned: OK"
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# Verify training script exists
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if [ ! -f "training/train_hf_job.py" ]; then
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echo "ERROR: training/train_hf_job.py not found in repo"
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ls -la training/ || true
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exit 1
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fi
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echo " Training script found: OK"
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# Run training
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echo ""
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echo "=========================================="
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echo "Step 3: Starting Training"
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echo "=========================================="
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echo ""
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export HF_TOKEN=$HF_TOKEN
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python training/train_hf_job.py
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echo ""
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echo "=========================================="
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echo "Training Complete"
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echo "=========================================="
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"""
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try:
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# Submit the job using run_job
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job = api.run_job(
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image="python:3.10",
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command=["/bin/bash", "-c", job_script],
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env={
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"HF_TOKEN": HF_TOKEN,
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},
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token=HF_TOKEN,
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)
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print(f"\n{'=' * 70}")
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print("[SUCCESS] Job submitted!")
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print(f"{'=' * 70}")
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print(f"\nJob Details:")
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print(f" Job ID: {job.id}")
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print(f" Status: {job.status}")
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print(f" URL: {job.url}")
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# Save job info
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job_info = {
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"job_id": job.id,
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"status": str(job.status),
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"url": job.url,
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"repo": OUTPUT_REPO,
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"base_model": MODEL_REPO,
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"dataset": "constraint_tracking.jsonl",
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"adapter": "constraint_tracker",
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"method": "git-clone-with-auth",
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}
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job_info_path = Path("hf_job_info.json")
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with open(job_info_path, "w") as f:
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json.dump(job_info, f, indent=2)
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print(f"\nJob info saved to: {job_info_path}")
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print(f"\nMonitor at: {job.url}")
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print(f"\nThe job will:")
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print(f" 1. Install PyTorch & training dependencies")
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print(f" 2. Clone codette-clean repo (with HF token auth)")
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print(f" 3. Run training/train_hf_job.py")
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print(f" 4. Train constraint_tracker LoRA (3 epochs)")
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print(f" 5. Upload to {OUTPUT_REPO}")
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print(f"\nETA: 4-6 hours on A10G GPU")
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except Exception as e:
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print(f"\n{'=' * 70}")
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print("[ERROR] Job submission failed")
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print(f"{'=' * 70}")
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print(f"Error: {e}")
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import traceback
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traceback.print_exc()
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exit(1)
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print(f"\n{'=' * 70}")
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print("[OK] Training Submitted!")
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print("=" * 70 + "\n")

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