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scripts/hf_untrained_entry.sh

@@ -1,58 +1,58 @@
-#!/usr/bin/env bash
-# HF Jobs entrypoint: untrained-1.5B-agent baseline on real LLM-under-test.
-# Writes results/baseline_untrained_real.json and uploads to model repo.
-
-set -euo pipefail
-
-HF_USERNAME="${HF_USERNAME:-Dar3devil}"
-PER_TYPE="${PER_TYPE:-4}"
-RESULTS_REPO="${HF_USERNAME}/promptops-arena-agent"
-
-echo "[untrained-eval] HF_USERNAME=${HF_USERNAME} PER_TYPE=${PER_TYPE}"
-mkdir -p /workspace
-cp -r /code/. /workspace/
-cd /workspace
-
-echo "[untrained-eval] python: $(python --version)"
-nvidia-smi || echo "no nvidia-smi"
-
-echo "[untrained-eval] installing deps"
-pip install --no-cache-dir --upgrade pip
-pip install --no-cache-dir \
-    "transformers==4.55.4" \
-    "peft==0.15.2" \
-    "accelerate==1.7.0" \
-    "datasets==3.6.0" \
-    "huggingface_hub>=0.25.0" \
-    "jsonschema>=4.20.0" \
-    "openenv-core>=0.1.0" \
-    "fastapi>=0.110.0" \
-    "uvicorn>=0.27.0" \
-    "pydantic>=2.0.0"
-
-export PROMPTOPS_LLM_BACKEND=transformers
-export PYTHONUTF8=1
-export TOKENIZERS_PARALLELISM=false
-
-mkdir -p outputs results
-
-echo "[untrained-eval] running untrained baseline (real LLM, n=$((PER_TYPE * 3)))"
-python scripts/run_baseline.py --policy untrained --per-type "${PER_TYPE}" \
-    --out results/baseline_untrained_real.json
-
-echo "[untrained-eval] uploading to ${RESULTS_REPO}"
-python - <<PY
-import os
-from huggingface_hub import HfApi
-api = HfApi()
-api.upload_file(
-    path_or_fileobj="results/baseline_untrained_real.json",
-    path_in_repo="baseline_untrained_real.json",
-    repo_id="${RESULTS_REPO}",
-    repo_type="model",
-    commit_message="eval: untrained 1.5B agent baseline (real LLM)",
-)
-print("[untrained-eval] uploaded")
-PY
-
-echo "[untrained-eval] all done."
+#!/usr/bin/env bash
+# HF Jobs entrypoint: untrained-1.5B-agent baseline on real LLM-under-test.
+# Writes results/baseline_untrained_real.json and uploads to model repo.
+
+set -euo pipefail
+
+HF_USERNAME="${HF_USERNAME:-Dar3devil}"
+PER_TYPE="${PER_TYPE:-4}"
+RESULTS_REPO="${HF_USERNAME}/promptops-arena-agent"
+
+echo "[untrained-eval] HF_USERNAME=${HF_USERNAME} PER_TYPE=${PER_TYPE}"
+mkdir -p /workspace
+cp -r /code/. /workspace/
+cd /workspace
+
+echo "[untrained-eval] python: $(python --version)"
+nvidia-smi || echo "no nvidia-smi"
+
+echo "[untrained-eval] installing deps"
+pip install --no-cache-dir --upgrade pip
+pip install --no-cache-dir \
+    "transformers==4.55.4" \
+    "peft==0.15.2" \
+    "accelerate==1.7.0" \
+    "datasets==3.6.0" \
+    "huggingface_hub>=0.25.0" \
+    "jsonschema>=4.20.0" \
+    "openenv-core>=0.1.0" \
+    "fastapi>=0.110.0" \
+    "uvicorn>=0.27.0" \
+    "pydantic>=2.0.0"
+
+export PROMPTOPS_LLM_BACKEND=transformers
+export PYTHONUTF8=1
+export TOKENIZERS_PARALLELISM=false
+
+mkdir -p outputs results
+
+echo "[untrained-eval] running untrained baseline (real LLM, n=$((PER_TYPE * 3)))"
+python scripts/run_baseline.py --policy untrained --per-type "${PER_TYPE}" \
+    --out results/baseline_untrained_real.json
+
+echo "[untrained-eval] uploading to ${RESULTS_REPO}"
+python - <<PY
+import os
+from huggingface_hub import HfApi
+api = HfApi()
+api.upload_file(
+    path_or_fileobj="results/baseline_untrained_real.json",
+    path_in_repo="baseline_untrained_real.json",
+    repo_id="${RESULTS_REPO}",
+    repo_type="model",
+    commit_message="eval: untrained 1.5B agent baseline (real LLM)",
+)
+print("[untrained-eval] uploaded")
+PY
+
+echo "[untrained-eval] all done."