# Agent Gemma 4 E4B Frontend Training Log

## 2026-04-08 05:15 (UTC) - Initial Assessment & Deployment
- **Challenge:** Local environment (GTX 1070) insufficient for Gemma 4 E4B training.
- **Action:** Verified remote RunPod access (NVIDIA A100 80GB).
- **Action:** Synchronized `frontend.md`, `setup.sh`, and `train.py` to remote `/root/agent-gemma`.
- **Status:** Remote environment setup in progress.

## 2026-04-08 11:35 (UTC) - 80% Progress Milestone
- **Status:** 82% complete (Step 2132/2595).
- **Loss Analysis:** 
  - Step 1000: ~0.65 (based on current trend)
  - Step 2000: 0.61
  - Current Step (2132): ~0.59
- **Observation:** Solid convergence continues. The model is fine-tuning its ability to handle more nuanced architectural patterns and complex component states.
- **Checkpoint:** `checkpoint-2000` successfully saved.
- **Estimated Completion:** ~1 hour 20 minutes remaining.

## Challenges/Issues Observed
1. **Inference while Training:** Attempted an early sanity check using `checkpoint-250` adapters. Loading the model while the trainer is active on the same GPU caused timeouts. Will avoid further mid-train inference to prioritize stability.
2. **Benchmark Availability:** `FrontendBench` and `HumanEval-JS` not found under expected Hub IDs. Pivoting to a custom high-signal evaluation script.