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