| 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_pt_long_form_transcription.py \ | |
| --model_name_or_path "facebook/wav2vec2-large-960h" \ | |
| --wandb_name "facebook/wav2vec2-large-960h" \ | |
| --dataset_name $DATASET_NAMES \ | |
| --dataset_config_name $DATASET_CONFIG_NAMES \ | |
| --dataset_split_name $DATASET_SPLIT_NAMES \ | |
| --text_column_name $TEXT_COLUMN_NAMES \ | |
| --output_dir "./" \ | |
| --wandb_project "distil-whisper-test" \ | |
| --per_device_eval_batch_size 32 \ | |
| --dtype "float16" \ | |
| --dataloader_num_workers 0 \ | |
| --report_to "wandb" \ | |
| --streaming \ | |
| --predict_with_generate | |