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a77edda | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | #!/usr/bin/env python3
# /// script
# dependencies = ["lighteval", "torch", "transformers", "datasets", "accelerate"]
# ///
import sys, os
MODEL = "Nanthasit/sakthai-plus-1.5b"
BASELINE = "Qwen/Qwen2.5-1.5B-Instruct"
TASKS = os.environ.get("TASKS") or (sys.argv[2] if len(sys.argv) > 2 else "mmlu|0,gsm8k|0,hellaswag|0,winogrande|0")
COMPARE = "--compare" in sys.argv
models = [MODEL]
if COMPARE:
models.append(BASELINE)
from lighteval.logging.evaluation_tracker import EvaluationTracker
from lighteval.models.transformers.transformers_model import TransformersModelConfig
from lighteval.pipeline import ParallelismManager, Pipeline, PipelineParameters
for model in models:
name = model.split("/")[-1]
print(f"\n=== Evaluating {name} ===")
evaluation_tracker = EvaluationTracker(
output_dir=f"./results/{name}",
save_details=True,
push_to_hub=False,
)
pipeline_params = PipelineParameters(
launcher_type=ParallelismManager.ACCELERATE,
)
model_config = TransformersModelConfig(
model_name=model,
dtype="bfloat16",
)
pipeline = Pipeline(
tasks=TASKS,
pipeline_parameters=pipeline_params,
evaluation_tracker=evaluation_tracker,
model_config=model_config,
)
pipeline.evaluate()
pipeline.show_results()
pipeline.save_and_push_results()
results = pipeline.get_results()
print(f"\nResults: {results}")
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