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hello @OmkarThawakar , I used the LLM360 Analysis repo to run eval for siqa task:
python Analysis360/eval/harness/main.py --device cuda:0 --model=hf-causal-experimental --batch_size=auto:1 --model_args="pretrained=MBZUAI/MobiLlama-05B,trust_remote_code=True,dtype=bfloat16" --tasks=social_iqa --num_fewshot=0 --output_path=Analysis360-MobiLlama-05B.json
it only gives 0.3327, which is close to random numbers, since there are only three choices.
Could you share how you ran the siqa evaluation? Thanks
The text was updated successfully, but these errors were encountered:
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hello @OmkarThawakar , I used the LLM360 Analysis repo to run eval for siqa task:
python Analysis360/eval/harness/main.py --device cuda:0 --model=hf-causal-experimental --batch_size=auto:1 --model_args="pretrained=MBZUAI/MobiLlama-05B,trust_remote_code=True,dtype=bfloat16" --tasks=social_iqa --num_fewshot=0 --output_path=Analysis360-MobiLlama-05B.json
it only gives 0.3327, which is close to random numbers, since there are only three choices.
Could you share how you ran the siqa evaluation? Thanks
The text was updated successfully, but these errors were encountered: