Upload eval_gsm8k_custom.py with huggingface_hub

eval_gsm8k_custom.py

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+# /// script
+# requires-python = ">=3.10"
+# dependencies = [
+#     "datasets",
+#     "transformers>=4.40.0",
+#     "torch>=2.0.0",
+#     "huggingface-hub",
+#     "accelerate",
+#     "bitsandbytes",
+# ]
+# ///
+
+import os
+import re
+from datasets import load_dataset
+
+os.environ.setdefault("HF_HUB_TOKEN", os.getenv("HF_TOKEN", ""))
+MODEL = os.getenv("MODEL", "Qwen/Qwen3.5-4B")
+LIMIT = int(os.getenv("LIMIT", "250"))
+
+print(f"Loading GSM8K dataset (limit={LIMIT})...")
+ds = load_dataset("openai/gsm8k", "main", split="test").select(range(min(LIMIT, 1319)))
+
+print(f"Loading model {MODEL}...")
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+tok = AutoTokenizer.from_pretrained(MODEL, trust_remote_code=True)
+m = AutoModelForCausalLM.from_pretrained(
+    MODEL, trust_remote_code=True, device_map="auto", torch_dtype=torch.bfloat16
+)
+
+sys_msg = "You are a helpful assistant that solves math problems step by step."
+correct = 0
+total = len(ds)
+
+for i, ex in enumerate(ds):
+    msgs = [
+        {"role": "system", "content": sys_msg},
+        {"role": "user", "content": f"Solve this math problem step by step. End your answer with 'ANSWER: <number>'\n\n{ex['question']}"},
+    ]
+    inp = tok.apply_chat_template(msgs, tokenize=True, return_tensors="pt", add_generation_prompt=True)
+    inp = {k: v.to(m.device) for k, v in inp.items()}
+    out = m.generate(**inp, max_new_tokens=512, do_sample=False)
+    gen = tok.decode(out[0][inp["input_ids"].shape[1]:], skip_special_tokens=True)
+
+    gt_match = re.search(r"####\s*(-?\d[\d,]*\.?\d*)", ex["answer"])
+    gt = gt_match.group(1).replace(",", "") if gt_match else ex["answer"].strip().split()[-1]
+
+    pred_match = re.search(r"ANSWER:\s*(-?\d[\d,]*\.?\d*)", gen)
+    if pred_match:
+        pred = pred_match.group(1).replace(",", "")
+    else:
+        nums = re.findall(r"-?\d[\d,]*\.?\d*", gen)
+        pred = nums[-1].replace(",", "") if nums else ""
+
+    if pred == gt:
+        correct += 1
+    if i < 5:
+        print(f"Q{i+1}: GT={gt} Pred={pred} OK={pred==gt}")
+
+accuracy = correct / total * 100
+print(f"\nGSM8K: {correct}/{total} = {accuracy:.2f}%")