tokenizer_separation
/
swin_default_LR1e-3_AR-NAR
/swin_default_LR1e-2_AR-NAR_2024_01_18--00_21_17.log
01-18 00:21:17 INFO [logger.py:80]: Initialized logger with log file in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-2_AR-NAR. | |
01-18 00:21:17 INFO [logger.py:80]: Initialized logger with log file in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-2_AR-NAR. | |
01-18 00:21:17 INFO [logger.py:80]: Initialized logger with log file in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-2_AR-NAR. | |
01-18 00:21:17 INFO [logger.py:80]: Initialized logger with log file in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-2_AR-NAR. | |
01-18 00:22:18 INFO [logging.py:61]: Configuration file is saved to /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-2_AR-NAR/config__2024_01_18--00_22_05.toml. | |
01-18 00:22:18 INFO [logging.py:61]: Environment information: | |
- `Accelerate` version: 0.26.1 | |
- Platform: Linux-5.14.0-362.13.1.el9_3.x86_64-x86_64-with-glibc2.34 | |
- Python version: 3.10.13 | |
- Numpy version: 1.26.3 | |
- PyTorch version (GPU?): 2.1.2 (True) | |
- System RAM: 503.48 GB | |
- GPU Available: True | |
- GPU IDs: 4 | |
- GPU type: NVIDIA A100-SXM4-80GB | |
01-18 00:22:18 INFO [logging.py:61]: | |
=============================================================================================== | |
Layer (type:depth-idx) Param # | |
=============================================================================================== | |
DistributedDataParallel -- | |
├─Model: 1-1 -- | |
│ └─EncodecModel: 2-1 -- | |
│ │ └─EncodecEncoder: 3-1 (7,425,792) | |
│ │ └─EncodecDecoder: 3-2 (7,426,018) | |
│ │ └─EncodecResidualVectorQuantizer: 3-3 -- | |
│ └─TokenEmbedding: 2-2 -- | |
│ │ └─Dropout: 3-4 -- | |
│ │ └─Embedding: 3-5 1,049,600 | |
│ └─Identity: 2-3 -- | |
│ └─SinePositionalEmbedding: 2-4 1 | |
│ │ └─Dropout: 3-6 -- | |
│ └─TransformerEncoder: 2-5 -- | |
│ │ └─ModuleList: 3-7 151,154,688 | |
│ │ └─LayerNorm: 3-8 2,048 | |
│ └─Linear: 2-6 1,049,600 | |
│ └─MulticlassAccuracy: 2-7 -- | |
│ └─TokenEmbedding: 2-8 -- | |
│ │ └─Dropout: 3-9 -- | |
│ │ └─Embedding: 3-10 1,048,576 | |
│ └─ModuleList: 2-9 -- | |
│ │ └─TokenEmbedding: 3-11 1,049,600 | |
│ │ └─TokenEmbedding: 3-12 1,048,576 | |
│ │ └─TokenEmbedding: 3-13 1,048,576 | |
│ │ └─TokenEmbedding: 3-14 1,048,576 | |
│ │ └─TokenEmbedding: 3-15 1,048,576 | |
│ │ └─TokenEmbedding: 3-16 1,048,576 | |
│ │ └─TokenEmbedding: 3-17 1,048,576 | |
│ │ └─TokenEmbedding: 3-18 1,048,576 | |
│ └─Identity: 2-10 -- | |
│ └─SinePositionalEmbedding: 2-11 1 | |
│ │ └─Dropout: 3-19 -- | |
│ └─TransformerEncoder: 2-12 -- | |
│ │ └─ModuleList: 3-20 201,535,488 | |
│ │ └─AdaptiveLayerNorm: 3-21 2,101,248 | |
│ └─ModuleList: 2-13 -- | |
│ │ └─Linear: 3-22 1,048,576 | |
│ │ └─Linear: 3-23 1,048,576 | |
│ │ └─Linear: 3-24 1,048,576 | |
│ │ └─Linear: 3-25 1,048,576 | |
│ │ └─Linear: 3-26 1,048,576 | |
│ │ └─Linear: 3-27 1,048,576 | |
│ │ └─Linear: 3-28 1,048,576 | |
│ └─ModuleList: 2-14 -- | |
│ │ └─TokenEmbedding: 3-29 1,024 | |
│ │ └─TokenEmbedding: 3-30 1,024 | |
│ │ └─TokenEmbedding: 3-31 1,024 | |
│ │ └─TokenEmbedding: 3-32 1,024 | |
│ │ └─TokenEmbedding: 3-33 1,024 | |
│ │ └─TokenEmbedding: 3-34 1,024 | |
│ │ └─TokenEmbedding: 3-35 1,024 | |
│ └─MulticlassAccuracy: 2-15 -- | |
=============================================================================================== | |
Total params: 388,529,892 | |
Trainable params: 373,678,081 | |
Non-trainable params: 14,851,811 | |
=============================================================================================== | |
01-18 00:22:18 INFO [logging.py:61]: Training control variables: | |
01-18 00:22:18 INFO [logging.py:61]: `steps_per_epoch`: 500 | |
01-18 00:22:18 INFO [logging.py:61]: Gradient accumulation steps: 1 | |
01-18 00:22:18 INFO [logging.py:61]: `update_steps_per_epoch`: 500 | |
01-18 00:22:18 INFO [logging.py:61]: `max_steps`: 500000 | |
01-18 00:22:18 INFO [logging.py:61]: `max_epochs`: 1000 | |
01-18 00:22:18 INFO [logging.py:61]: warmup_steps=1000. warmup_ratio will be ignored. | |
01-18 00:22:18 INFO [logging.py:61]: ========= Epoch 1 out of 1000 ========= | |
01-18 00:22:18 INFO [logging.py:61]: Begin training... | |