| python run_speech_recognition_seq2seq_streaming.py \ | |
| --model_name_or_path="openai/whisper-large-v2" \ | |
| --dataset_name="language-and-voice-lab/samromur_asr+language-and-voice-lab/althingi_asr+language-and-voice-lab/malromur_asr" \ | |
| --language="icelandic" \ | |
| --train_split_name="train" \ | |
| --eval_dataset_name="language-and-voice-lab/samromur_asr" \ | |
| --eval_split_name="validation" \ | |
| --eval_steps="1000" \ | |
| --max_eval_samples="1000" \ | |
| --model_index_name="Whisper large_v2 Icelandic" \ | |
| --max_steps="5000" \ | |
| --output_dir="./" \ | |
| --per_device_train_batch_size="8" \ | |
| --gradient_accumulation_steps="4" \ | |
| --per_device_eval_batch_size="32" \ | |
| --logging_steps="25" \ | |
| --learning_rate="1e-5" \ | |
| --warmup_steps="500" \ | |
| --evaluation_strategy="steps" \ | |
| --save_strategy="steps" \ | |
| --save_steps="1000" \ | |
| --generation_max_length="225" \ | |
| --length_column_name="input_length" \ | |
| --max_duration_in_seconds="30" \ | |
| --text_column_name="normalized_text" \ | |
| --freeze_feature_encoder="False" \ | |
| --report_to="tensorboard" \ | |
| --metric_for_best_model="wer" \ | |
| --greater_is_better="False" \ | |
| --load_best_model_at_end \ | |
| --gradient_checkpointing \ | |
| --fp16 \ | |
| --overwrite_output_dir \ | |
| --do_train \ | |
| --do_eval \ | |
| --predict_with_generate \ | |
| --do_normalize_eval \ | |
| --streaming \ | |
| --push_to_hub \ | |
| --mapper="/home/ubuntu/whisper/text_mapping" | |