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nvidia-nemo--speech/tests/functional_tests/SPEECHLM_HF_Training_Inference_DuplexSTT.sh
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chore: import upstream snapshot with attribution
2026-07-13 13:28:58 +08:00

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# Copyright (c) 2020-2025, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Run training for DuplexSTTModel (speech-to-text model)
torchrun --nproc-per-node 1 --no-python \
coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo \
examples/speechlm2/stt_duplex_train.py \
model.pretrained_llm=/home/TestData/speechlm/pretrained_models/TinyLlama--TinyLlama_v1.1 \
model.pretrained_asr=/home/TestData/speechlm/pretrained_models/stt_en_fastconformer_hybrid_large_streaming_80ms.nemo \
data.train_ds.input_cfg.0.shar_path=/home/TestData/speechlm/lhotse/speechlm2/train_micro \
data.validation_ds.datasets.val_set_0.shar_path=/home/TestData/speechlm/lhotse/speechlm2/train_micro \
trainer.devices=1 \
trainer.max_steps=10
# Convert to HF format
coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo \
examples/speechlm2/to_hf.py \
class_path=nemo.collections.speechlm2.models.DuplexSTTModel \
ckpt_path=s2s_stt_results/checkpoints/step\=10-last.ckpt \
ckpt_config=s2s_stt_results/exp_config.yaml \
output_dir=test_speechlm2_stt_hf_model
# Test inference on the converted HF model
torchrun --nproc-per-node 1 --no-python \
coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo \
examples/speechlm2/stt_duplex_infer.py \
model.pretrained_llm=/home/TestData/speechlm/pretrained_models/TinyLlama--TinyLlama_v1.1 \
model.pretrained_asr=/home/TestData/speechlm/pretrained_models/stt_en_fastconformer_hybrid_large_streaming_80ms.nemo \
data.validation_ds.datasets.val_set_0.shar_path=/home/TestData/speechlm/lhotse/speechlm2/train_micro \
trainer.devices=1 \
exp_manager.explicit_log_dir=s2s_stt_inference_results \
++model.pretrained_s2s_model=test_speechlm2_stt_hf_model