training / flax /long_form_transcription_scripts /run_tedlium_long_form_dummy.sh
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Saving train state of step 50
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#!/usr/bin/env bash
python run_long_form_transcription.py \
--model_name_or_path "openai/whisper-tiny" \
--dataset_name "distil-whisper/tedlium-long-form" \
--dataset_config_name "all" \
--dataset_split_name "validation" \
--cache_dir "/home/sanchitgandhi/.cache" \
--dataset_cache_dir "/home/sanchitgandhi/.cache" \
--output_dir "./" \
--wandb_dir "/home/sanchitgandhi/.cache" \
--wandb_project "distil-whisper-debug" \
--wandb_name "whisper-tiny-tedlium-long-form" \
--per_device_eval_batch_size 64 \
--max_eval_samples 1 \
--dtype "bfloat16" \
--report_to "wandb" \
--streaming