#!/usr/bin/env bash
python ./run_flax_speech_recognition_ctc.py \
        --model_name_or_path="speech-seq2seq/flax-wav2vec2-large-lv60-scan" \
        --dataset_name="librispeech_asr" \
        --dataset_cache_dir="/home/sanchitgandhi/cache/huggingface/datasets/" \
        --dataset_config_name="all" \
        --train_split_name="train.clean.100+train.clean.360+train.other.500" \
        --eval_split_name="validation.clean" \
        --test_split_name="validation.other+test.clean+test.other" \
        --preprocessing_num_workers="1" \
        --output_dir="./flax-wav2vec2-ctc-ls-960h-baseline" \
        --max_steps="50000" \
        --eval_steps="10000" \
        --save_steps="10000" \
        --learning_rate="3e-4" \
        --logging_steps="25" \
        --warmup_steps="500" \
        --do_eval \
        --do_train \
        --do_predict \
        --overwrite_output_dir \
        --gradient_checkpointing \
        --freeze_feature_encoder \
        --push_to_hub \
        --use_auth_token \
        --wandb_project="librispeech_960h" \
        --wandb_name="flax-wav2vec2-ctc-ls-960h-baseline"