76576323df
* add mmlu callback * use hf dataset for mmlu evals * default to mmlu-zs * make sure to define all the explicit positional args * include metrics in callback * another callback fix for collator max len attribute * fix mmlu evals * sample benchmarks, ensure we drop long samples * fix the data file * fix elif and add better messaging * more fixes * rename mmlu to bench * more fixes * dataset handling and aggregate across benchmark * better handling when no subjects * benchmark callback has its own dataloader and collator * fixes * updated dataset * more fixes * missing transformers import * improve support for customized dataset for bench evals * gather benchmarks from all ranks * fix for gather across multiple gpus
29 lines
500 B
Plaintext
29 lines
500 B
Plaintext
packaging
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peft @ git+https://github.com/huggingface/peft.git
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transformers @ git+https://github.com/huggingface/transformers.git
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bitsandbytes>=0.41.1
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accelerate @ git+https://github.com/huggingface/accelerate@2a289f6108e77a77a4efffb3f6316bc98538413b
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addict
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evaluate
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fire
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PyYAML>=6.0
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datasets
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flash-attn>=2.0.8
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sentencepiece
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wandb
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einops
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xformers
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optimum
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hf_transfer
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colorama
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numba
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numpy>=1.24.4
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# qlora things
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bert-score==0.3.13
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evaluate==0.4.0
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rouge-score==0.1.2
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scipy
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scikit-learn==1.2.2
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pynvml
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art
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