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#!/bin/bash
# it currently supports for batch = 1 only.
MODEL_PATH=/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/checkpoints/omni_whisper-medium_Qwen2.5-3B_pretrained-sft-fc-mixed-vfva-text
SPEECH_ENCODER=/data1/speech/anhnmt2/Speech2Speech/LLaMA-Omni/models/speech_encoder/whisper-medium
PROMPT_VERSION=qwen
DATA_PATH=/data1/speech/anhnmt2/dataset/s2s/english/qna/20250114_tgt_unit_preprocessed_combined_mix_text_filtered.jsonl
# DEV_PATH=/data1/speech/anhnmt2/dataset/s2s/english/qna/dev_20250103.jsonl
CACHE_DIR="../output/cached_sft_speech_decoder_20250114"
deepspeed ../omni_speech/train/train_mem.py \
--deepspeed zero2.json \
--model_name_or_path $MODEL_PATH \
--version $PROMPT_VERSION \
--data_path $DATA_PATH \
--cache_dir $CACHE_DIR \
--speech_encoder $SPEECH_ENCODER \
--mel_size 80 \
--speech_encoder_hidden_size 1024 \
--speech_encoder_type whisper \
--tune_speech_generator_only True \
--bf16 True \
--output_dir ../checkpoints/omni_whisper-medium_Qwen2.5-3B_pretrained-sft-fc-mixed-vfva-text_speech-decoder \
--num_train_epochs 16 \
--per_device_train_batch_size 1 \
--per_device_eval_batch_size 1 \
--gradient_accumulation_steps 4 \
--evaluation_strategy "no" \
--save_strategy "no" \
--save_steps 3000 \
--save_total_limit 1 \
--learning_rate 2e-4 \
--max_grad_norm 200. \
--weight_decay 0. \
--warmup_ratio 0.03 \
--logging_steps 1 \
--tf32 True \
--model_max_length 4096 \
--gradient_checkpointing True \
--dataloader_num_workers 8 \
--has_tgt_units True |