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#!/bin/bash
MODEL_PATH=/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/checkpoints/omni_whisper-medium_Qwen2.5-3B_pretrained-sft-fc_speech_decoder_fixed_all/checkpoint-4000
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/moss/moss_100K_phase3_tgt_units_processed.jsonl
# DEV_PATH=/data1/speech/anhnmt2/dataset/s2s/english/qna/dev_20250103.jsonl
CACHE_DIR="../output/cached_sft_speech_decoder_20250103"
deepspeed --master_port 29501 ../omni_speech/train/export.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/tmp \
--num_train_epochs 8 \
--per_device_train_batch_size 1 \
--per_device_eval_batch_size 1 \
--gradient_accumulation_steps 2 \
--evaluation_strategy "no" \
--save_strategy "steps" \
--save_steps 2000 \
--save_total_limit 1 \
--learning_rate 1e-4 \
--weight_decay 0. \
--warmup_ratio 0.03 \
--logging_steps 10 \
--tf32 True \
--model_max_length 2048 \
--gradient_checkpointing True \
--dataloader_num_workers 8 \
--has_tgt_units True |