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35 lines
1.8 KiB
Bash
35 lines
1.8 KiB
Bash
# Copyright (c) 2020-2025, NVIDIA CORPORATION.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Run training
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torchrun --nproc-per-node 1 --no-python \
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coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo \
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examples/speechlm2/s2s_duplex_speech_decoder_train.py \
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model.pretrained_llm=/home/TestData/speechlm/pretrained_models/TinyLlama--TinyLlama_v1.1 \
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model.pretrained_audio_codec=/home/TestData/speechlm/pretrained_models/Low_Frame-rate_Speech_Codec++_bf16_nodiscrim.nemo \
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model.pretrained_asr=/home/TestData/speechlm/pretrained_models/stt_en_fastconformer_hybrid_large_streaming_80ms.nemo \
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model.scoring_asr=/home/TestData/speechlm/pretrained_models/stt_en_fastconformer_transducer_large.nemo \
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data.train_ds.input_cfg.0.shar_path=/home/TestData/speechlm/lhotse/speechlm2/train_micro \
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data.validation_ds.datasets.val_set_0.shar_path=/home/TestData/speechlm/lhotse/speechlm2/train_micro \
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trainer.devices=1 \
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trainer.max_steps=10
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# Convert to HF format
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coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo \
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examples/speechlm2/to_hf.py \
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class_path=nemo.collections.speechlm2.models.DuplexS2SSpeechDecoderModel \
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ckpt_path=s2s_sdv2_results/checkpoints/step\\=10-last.ckpt \
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ckpt_config=s2s_sdv2_results/exp_config.yaml \
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output_dir=test_speechlm2_speech_decoder_hf_model
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