Fix: explicit huggingface_hub.login() + hub_token in TrainingArguments

train_ner_pii_newlabel.py

@@ -22,9 +22,11 @@ rather than silently dropped.
 Run with:  uv run train_ner_pii.py
 """
 
+import os
 import json
 import numpy as np
 import trackio
+from huggingface_hub import login
 from datasets import load_dataset
 from transformers import (
     AutoTokenizer,
@@ -36,6 +38,14 @@ from transformers import (
 )
 import evaluate
 
+# Authenticate using the HF_TOKEN secret injected by HF Jobs
+_token = os.environ.get("HF_TOKEN")
+if _token:
+    login(token=_token)
+    print("Logged in to Hugging Face Hub.")
+else:
+    print("WARNING: HF_TOKEN not found in environment — hub push will fail.")
+
 # ── Training label map: 56 source types → 17 training categories ─────────────
 # At inference, LABEL_MAP_INFER collapses these to 11 policy categories.
 LABEL_MAP_TRAIN = {
@@ -275,6 +285,7 @@ args = TrainingArguments(
     push_to_hub=True,
     hub_model_id=HUB_MODEL_ID,
     hub_private_repo=False,
+    hub_token=os.environ.get("HF_TOKEN"),
     hub_strategy="every_save",
     report_to="trackio",
     run_name="modernbert-pii-mapped-v5",