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fusion_bench
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A
config\modelpool\Seq2SeqLMPool\flan-t5-base_glue_tta.yaml
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fusion_bench\mixins\__init__.py
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fusion_bench\mixins\clip_classification.py
17 16 -
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config\model\clip-vit\clip-vit-base-patch16_eight_tasks.yaml
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config\modelpool\Seq2SeqLMPool\flan-t5-base_individual.yaml
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fusion_bench\mixins\fabric_training.py
32 2 -
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fusion_bench\mixins\hydra_config.py
6 4 -
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config\modelpool\Seq2SeqLMPool\flan-t5-large_glue_lora16.yaml
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fusion_bench\mixins\lightning_fabric.py
35 17 -
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fusion_bench\mixins\openclip_classification.py
17 2 -
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config\dataset\image_classification\train\gtsrb.yaml
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config\method\adamerging\clip.yaml
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config\model\clip-vit\clip-vit-base-patch16_emnist_letters.yaml
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config\modelpool\SequenceClassificationModelPool\llama_preference700k.yaml
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fusion_bench\mixins\optim\adamw_with_warmup.py
4 2 -
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fusion_bench\mixins\pyinstrument.py
14 1 -
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config\modelpool\SequenceClassificationModelPool\roberta-base_glue.yaml
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fusion_bench\mixins\rich_live.py
1 2 -
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fusion_bench\mixins\serialization.py
33 11 -
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config\model\clip-vit\clip-vit-base-patch16_eurosat.yaml
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