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#!/usr/bin/env bash |
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CUDA_VISIBLE_DEVICES=1 python run_speech_recognition_rnnt.py \ |
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--config_path="conf/conformer_transducer_bpe_xlarge.yaml" \ |
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--model_name_or_path="stt_en_conformer_transducer_xlarge" \ |
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--dataset_name="sanchit-gandhi/earnings22_robust_split" \ |
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--tokenizer_path="tokenizer" \ |
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--vocab_size="1024" \ |
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--max_steps="10000" \ |
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--dataset_config_name="all" \ |
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--train_split_name="train" \ |
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--eval_split_name="validation" \ |
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--test_split_name="test" \ |
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--text_column_name="sentence" \ |
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--output_dir="./" \ |
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--run_name="rnnt-earnings22-1e-2-freeze-encoder-weight-decay" \ |
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--wandb_project="rnnt-debug-earnings22" \ |
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--per_device_train_batch_size="8" \ |
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--per_device_eval_batch_size="4" \ |
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--logging_steps="25" \ |
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--learning_rate="1e-2" \ |
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--warmup_steps="500" \ |
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--save_strategy="no" \ |
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--evaluation_strategy="steps" \ |
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--eval_steps="2000" \ |
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--report_to="wandb" \ |
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--preprocessing_num_workers="4" \ |
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--fused_batch_size="8" \ |
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--length_column_name="input_lengths" \ |
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--final_decoding_strategy="beam" \ |
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--final_num_beams="4" \ |
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--weight_decay="1e-3" \ |
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--freeze_encoder \ |
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--fuse_loss_wer \ |
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--group_by_length \ |
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--overwrite_output_dir \ |
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--do_lower_case \ |
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--do_train \ |
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--do_eval \ |
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--use_auth_token |
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