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Update train.py
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@ -19,7 +19,7 @@
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Usage:
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Usage:
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#fine-tuning with deepspeed zero stage 1
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#fine-tuning with deepspeed zero stage 1
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torchrun --nproc-per-node 8 ./whisper/train.py \
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torchrun --nproc_per_node 8 ./whisper/train.py \
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--max-duration 200 \
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--max-duration 200 \
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--exp-dir whisper/exp_large_v2 \
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--exp-dir whisper/exp_large_v2 \
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--model-name large-v2 \
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--model-name large-v2 \
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@ -28,7 +28,7 @@ torchrun --nproc-per-node 8 ./whisper/train.py \
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--deepspeed_config ./whisper/ds_config_zero1.json
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--deepspeed_config ./whisper/ds_config_zero1.json
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# fine-tuning with ddp
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# fine-tuning with ddp
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torchrun --nproc-per-node 8 ./whisper/train.py \
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torchrun --nproc_per_node 8 ./whisper/train.py \
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--max-duration 200 \
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--max-duration 200 \
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--exp-dir whisper/exp_medium \
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--exp-dir whisper/exp_medium \
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--manifest-dir data/fbank_whisper \
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--manifest-dir data/fbank_whisper \
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@ -136,7 +136,7 @@ def get_parser():
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parser.add_argument(
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parser.add_argument(
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"--exp-dir",
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"--exp-dir",
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type=str,
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type=str,
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default="pruned_transducer_stateless7/exp",
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default="whisper/exp",
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help="""The experiment dir.
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help="""The experiment dir.
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It specifies the directory where all training related
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It specifies the directory where all training related
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files, e.g., checkpoints, log, etc, are saved
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files, e.g., checkpoints, log, etc, are saved
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