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#!/usr/bin/env bash
DATASET_NAME="librispeech_asr-noise+librispeech_asr-noise+librispeech_asr-noise+librispeech_asr-noise+librispeech_asr-noise+librispeech_asr-noise+librispeech_asr-noise+librispeech_asr-noise+librispeech_asr-noise+librispeech_asr-noise+librispeech_asr-noise"
DATASET_CONFIG_NAME=("test-white-noise" "test-pub-noise")
DATASET_SPLIT_NAME="40+35+30+25+20+15+10+5+0+minus5+minus10"
for i in "${!DATASET_CONFIG_NAME[@]}"; do
python run_eval.py \
--model_name_or_path "sanchit-gandhi/large-32-2-tpu-timestamped-resumed" \
--dataset_name $DATASET_NAME \
--dataset_config_name "${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}" \
--dataset_split_name $DATASET_SPLIT_NAME \
--cache_dir "/home/sanchitgandhi/cache" \
--dataset_cache_dir "/home/sanchitgandhi/cache" \
--output_dir "./" \
--wandb_dir "/home/sanchitgandhi/cache" \
--wandb_project "distil-whisper-noise-test" \
--wandb_name "large-32-2-tpu-timestamped-${DATASET_CONFIG_NAME[i]}" \
--per_device_eval_batch_size 64 \
--dtype "bfloat16" \
--dataloader_num_workers 16 \
--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" \
--dataset_name $DATASET_NAME \
--dataset_config_name "${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}+${DATASET_CONFIG_NAME[i]}" \
--dataset_split_name $DATASET_SPLIT_NAME \
--cache_dir "/home/sanchitgandhi/cache" \
--dataset_cache_dir "/home/sanchitgandhi/cache" \
--output_dir "./" \
--wandb_dir "/home/sanchitgandhi/cache" \
--wandb_project "distil-whisper-noise-test" \
--wandb_name "medium-24-2-tpu-timestamped-prob-0.2-${DATASET_CONFIG_NAME[i]}" \
--per_device_eval_batch_size 64 \
--dtype "bfloat16" \
--dataloader_num_workers 16 \
--report_to "wandb" \
--streaming \
--predict_with_generate
done
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