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#!/usr/bin/env bash
DATASET_NAMES="librispeech_asr+librispeech_asr+common_voice_13_0+voxpopuli+ami-ihm+ami-sdm+peoples_speech-clean+tedlium+switchboard-data+switchboard-data+gigaspeech-l+spgispeech+chime4+google/fleurs+earnings22"
DATASET_CONFIG_NAMES="all+all+en+en+ihm+sdm+clean+release3+all+all+l+L+1-channel+en_us+chunked"
DATASET_SPLIT_NAMES="test.clean+test.other+test+test+test+test+test+test+test.switchboard+test.callhome+test+test+test+test+test"
TEXT_COLUMN_NAMES="text+text+text+text+text+text+text+text+text+text+text+text+text+transcription+transcription"
python run_eval.py \
--model_name_or_path "sanchit-gandhi/large-32-2-tpu-timestamped-resumed" \
--wandb_name "large-32-2-tpu-timestamped" \
--dataset_name $DATASET_NAMES \
--dataset_config_name $DATASET_CONFIG_NAMES \
--dataset_split_name $DATASET_SPLIT_NAMES \
--text_column_name $TEXT_COLUMN_NAMES \
--cache_dir "/home/sanchitgandhi/.cache" \
--dataset_cache_dir "/home/sanchitgandhi/.cache" \
--output_dir "./" \
--wandb_dir "/home/sanchitgandhi/.cache" \
--wandb_project "distil-whisper-test" \
--per_device_eval_batch_size 32 \
--dtype "bfloat16" \
--dataloader_num_workers 0 \
--report_to "wandb" \
--streaming \
--predict_with_generate
python run_eval.py \
--model_name_or_path "sanchit-gandhi/medium-24-2-tpu-timestamped-prob-0.2" \
--subfolder "checkpoint-45000" \
--wandb_name "medium-24-2-tpu-timestamped-prob-0.2" \
--dataset_name $DATASET_NAMES \
--dataset_config_name $DATASET_CONFIG_NAMES \
--dataset_split_name $DATASET_SPLIT_NAMES \
--text_column_name $TEXT_COLUMN_NAMES \
--cache_dir "/home/sanchitgandhi/.cache" \
--dataset_cache_dir "/home/sanchitgandhi/.cache" \
--output_dir "./" \
--wandb_dir "/home/sanchitgandhi/.cache" \
--wandb_project "distil-whisper-test" \
--per_device_eval_batch_size 32 \
--dtype "bfloat16" \
--dataloader_num_workers 0 \
--report_to "wandb" \
--streaming \
--predict_with_generate
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