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Adding text_classification.yaml
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configs/text_classification.yaml
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defaults:
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- backend: pytorch # default backend
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- launcher: process # default launcher
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- benchmark: energy_star # default benchmark
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- experiment # inheriting experiment schema
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- _self_ # for hydra 1.1 compatibility
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- override hydra/job_logging: colorlog # colorful logging
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- override hydra/hydra_logging: colorlog # colorful logging
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experiment_name: text_classification
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launcher:
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device_isolation: true
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device_isolation_action: warn
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backend:
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device: cuda
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device_ids: 0
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no_weights: true
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model: lvwerra/distilbert-imdb
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processor: lvwerra/distilbert-imdb
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task: text-classification
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benchmark:
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dataset_name: EnergyStarAI/text_classification
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num_samples: 1000
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text_column_name: text
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truncation: True
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input_shapes:
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batch_size: 1
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# hydra/cli specific settings
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hydra:
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run:
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# where to store run results
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dir: runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
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sweep:
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# where to store sweep results
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dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
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job:
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# change working directory to the run directory
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chdir: true
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env_set:
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# set environment variable OVERRIDE_BENCHMARKS to 1
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# to not skip benchmarks that have been run before
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OVERRIDE_BENCHMARKS: 1
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