Comments (2)
You could also use one or multiple filters for this. It has state and all the model responses are passed to it as a list. Might also be safe to delete the model beforehand:
lm-evaluation-harness/lm_eval/evaluator.py
Lines 390 to 396 in a604f05
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What if you load the model only when evaluation starts? E.g. https://huggingface.co/spaces/hallucinations-leaderboard/leaderboard/blob/main/src/backend/tasks/xsum/task_v2.py#L68
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Related Issues (20)
- Add EQ-Bench HOT 3
- Error on kmmlu evaluation set with vLLM: KeyError: 'exact_match,none' HOT 9
- Issue with `truthfulqa_fr_mc1`, `truthfulqa_fr_mc2`, `lambada_mt_fr`, `mgsm_cot_native_fr` HOT 4
- Uneven GPU utilization with Data Parallelism (DP) in vLLM due to context-agnostic request distribution. HOT 3
- how to run it on NPU HOT 3
- wikitext weird results Mistral-7B-v0.1 length=4096 // Gemma-7B bos missing HOT 5
- evaluation extremely slow with llama_cpp/gguf HOT 3
- Issue with `bigbench_gender_inclusive_sentences_german_multiple_choice`
- Passing HF Llama Key HOT 3
- Passing wandb_args to `simple_evaluate` HOT 10
- use local model api HOT 1
- Proper way to add arguments to chosen metrics? HOT 3
- `wmt14-en-fr` deadlock issue
- Bedrock Model API HOT 3
- How can we do evaluation few-shot in Chat-template?
- Adding new Task 'EXAMS' HOT 2
- Output format of samples has been changed HOT 1
- Bug in some model init
- lm_eval not found HOT 2
- The document related to the Task Manager is no longer available. HOT 3
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