Upload generation_test_llmware_script.py
Browse files
generation_test_llmware_script.py
CHANGED
@@ -11,7 +11,7 @@ def load_rag_benchmark_tester_ds():
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dataset = load_dataset(ds_name)
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print("update: loading test dataset - ", dataset)
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test_set = []
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for i, samples in enumerate(dataset["train"]):
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@@ -25,9 +25,9 @@ def load_rag_benchmark_tester_ds():
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def run_test(model_name, prompt_list):
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print("\nupdate: Starting RAG Benchmark Inference Test")
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# pull model directly from catalog
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prompter = Prompt().load_model(model_name)
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for i, entries in enumerate(prompt_list):
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@@ -37,21 +37,25 @@ def run_test(model_name, prompt_list):
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response = prompter.prompt_main(prompt,context=context,prompt_name="default_with_context", temperature=0.3)
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fc = prompter.evidence_check_numbers(response)
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sc = prompter.evidence_comparison_stats(response)
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sr = prompter.evidence_check_sources(response)
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print("\
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print("update: gold_answer - ", i, entries["answer"])
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for entries in fc:
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for entries in sc:
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print("update: comparison stats - ", entries["comparison_stats"])
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for entries in sr:
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return 0
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@@ -60,5 +64,7 @@ if __name__ == "__main__":
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core_test_set = load_rag_benchmark_tester_ds()
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dataset = load_dataset(ds_name)
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print("update: loading RAG Benchmark test dataset - ", dataset)
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test_set = []
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for i, samples in enumerate(dataset["train"]):
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def run_test(model_name, prompt_list):
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print("\nupdate: Starting RAG Benchmark Inference Test - ", model_name)
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# pull DRAGON / BLING model directly from catalog, e.g., no from_hf=True
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prompter = Prompt().load_model(model_name)
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for i, entries in enumerate(prompt_list):
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response = prompter.prompt_main(prompt,context=context,prompt_name="default_with_context", temperature=0.3)
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print("\nupdate: model inference output - ", i, response["llm_response"])
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print("update: gold_answer - ", i, entries["answer"])
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fc = prompter.evidence_check_numbers(response)
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sc = prompter.evidence_comparison_stats(response)
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sr = prompter.evidence_check_sources(response)
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print("\nFact-Checking Tools")
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for entries in fc:
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for f, facts in enumerate(entries["fact_check"]):
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print("update: fact check - ", f, facts)
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for entries in sc:
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print("update: comparison stats - ", entries["comparison_stats"])
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for entries in sr:
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for s, sources in enumerate(entries["source_review"]):
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print("update: sources - ", s, sources)
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return 0
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core_test_set = load_rag_benchmark_tester_ds()
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# one of the 7 gpu dragon models
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gpu_model_name = "llmware/dragon-mistral-7b-v0"
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output = run_test(gpu_model_name, core_test_set)
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