tokenizer_separation
/
swin_default_LR1e-4_AR-NAR
/swin_default_LR1e-4_AR-NAR_2024_01_18--13_05_10.log
| 01-18 13:05:10 INFO [logger.py:80]: Initialized logger with log file in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR. | |
| 01-18 13:05:10 INFO [logger.py:80]: Initialized logger with log file in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR. | |
| 01-18 13:05:10 INFO [logger.py:80]: Initialized logger with log file in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR. | |
| 01-18 13:05:10 INFO [logger.py:80]: Initialized logger with log file in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR. | |
| 01-18 13:07:34 INFO [logging.py:61]: Configuration file is saved to /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR/config__2024_01_18--13_07_07.toml. | |
| 01-18 13:07:34 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 13:07:34 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: 3-5 524,800 | |
| │ └─Identity: 2-3 -- | |
| │ └─SinePositionalEmbedding: 2-4 1 | |
| │ │ └─Dropout: 3-6 -- | |
| │ └─TransformerEncoder: 2-5 -- | |
| │ │ └─ModuleList: 3-7 37,828,608 | |
| │ │ └─LayerNorm: 3-8 1,024 | |
| │ └─Linear: 2-6 524,800 | |
| │ └─MulticlassAccuracy: 2-7 -- | |
| │ └─TokenEmbedding: 2-8 -- | |
| │ │ └─Dropout: 3-9 -- | |
| │ │ └─Embedding: 3-10 524,288 | |
| │ └─ModuleList: 2-9 -- | |
| │ │ └─TokenEmbedding: 3-11 524,800 | |
| │ │ └─TokenEmbedding: 3-12 524,288 | |
| │ │ └─TokenEmbedding: 3-13 524,288 | |
| │ │ └─TokenEmbedding: 3-14 524,288 | |
| │ │ └─TokenEmbedding: 3-15 524,288 | |
| │ │ └─TokenEmbedding: 3-16 524,288 | |
| │ │ └─TokenEmbedding: 3-17 524,288 | |
| │ │ └─TokenEmbedding: 3-18 524,288 | |
| │ └─Identity: 2-10 -- | |
| │ └─SinePositionalEmbedding: 2-11 1 | |
| │ │ └─Dropout: 3-19 -- | |
| │ └─TransformerEncoder: 2-12 -- | |
| │ │ └─ModuleList: 3-20 50,436,096 | |
| │ │ └─AdaptiveLayerNorm: 3-21 526,336 | |
| │ └─ModuleList: 2-13 -- | |
| │ │ └─Linear: 3-22 524,288 | |
| │ │ └─Linear: 3-23 524,288 | |
| │ │ └─Linear: 3-24 524,288 | |
| │ │ └─Linear: 3-25 524,288 | |
| │ │ └─Linear: 3-26 524,288 | |
| │ │ └─Linear: 3-27 524,288 | |
| │ │ └─Linear: 3-28 524,288 | |
| │ └─ModuleList: 2-14 -- | |
| │ │ └─TokenEmbedding: 3-29 512 | |
| │ │ └─TokenEmbedding: 3-30 512 | |
| │ │ └─TokenEmbedding: 3-31 512 | |
| │ │ └─TokenEmbedding: 3-32 512 | |
| │ │ └─TokenEmbedding: 3-33 512 | |
| │ │ └─TokenEmbedding: 3-34 512 | |
| │ │ └─TokenEmbedding: 3-35 512 | |
| │ └─MulticlassAccuracy: 2-15 -- | |
| =============================================================================================== | |
| Total params: 113,086,180 | |
| Trainable params: 98,234,369 | |
| Non-trainable params: 14,851,811 | |
| =============================================================================================== | |
| 01-18 13:07:34 INFO [logging.py:61]: Training control variables: | |
| 01-18 13:07:34 INFO [logging.py:61]: `steps_per_epoch`: 500 | |
| 01-18 13:07:34 INFO [logging.py:61]: Gradient accumulation steps: 1 | |
| 01-18 13:07:34 INFO [logging.py:61]: `update_steps_per_epoch`: 500 | |
| 01-18 13:07:34 INFO [logging.py:61]: `max_steps`: 500000 | |
| 01-18 13:07:34 INFO [logging.py:61]: `max_epochs`: 1000 | |
| 01-18 13:07:34 INFO [logging.py:61]: warmup_steps=1000. warmup_ratio will be ignored. | |
| 01-18 13:07:34 INFO [logging.py:61]: ========= Epoch 1 out of 1000 ========= | |
| 01-18 13:07:34 INFO [logging.py:61]: Begin training... | |
| 01-18 13:17:30 INFO [logging.py:61]: Loss 'loss' on epoch 1: 4.6260857582092285 | |
| 01-18 13:17:31 INFO [logging.py:61]: Loss 'ar_loss' on epoch 1: 4.6260857582092285 | |
| 01-18 13:17:31 INFO [logging.py:61]: Loss 'nar_loss' on epoch 1: 0.0 | |
| 01-18 13:17:31 INFO [logging.py:61]: Loss 'ar_accuracy_metric' on epoch 1: 0.4006486237049103 | |
| 01-18 13:17:31 INFO [logging.py:61]: Loss 'nar_acc_metric' on epoch 1: 0.0 | |
| 01-18 13:17:31 INFO [logging.py:61]: ========= Epoch 2 out of 1000 ========= | |
| 01-18 13:17:31 INFO [logging.py:61]: Begin training... | |
| 01-18 13:27:26 INFO [logging.py:61]: Loss 'loss' on epoch 2: 3.4351987838745117 | |
| 01-18 13:27:26 INFO [logging.py:61]: Loss 'ar_loss' on epoch 2: 3.4351987838745117 | |
| 01-18 13:27:26 INFO [logging.py:61]: Loss 'nar_loss' on epoch 2: 0.0 | |
| 01-18 13:27:26 INFO [logging.py:61]: Loss 'ar_accuracy_metric' on epoch 2: 0.5857024192810059 | |
| 01-18 13:27:26 INFO [logging.py:61]: Loss 'nar_acc_metric' on epoch 2: 0.0 | |
| 01-18 13:27:26 INFO [logging.py:61]: ========= Epoch 3 out of 1000 ========= | |
| 01-18 13:27:26 INFO [logging.py:61]: Begin training... | |
| 01-18 13:37:46 INFO [logging.py:61]: Loss 'loss' on epoch 3: 3.175524950027466 | |
| 01-18 13:37:46 INFO [logging.py:61]: Loss 'ar_loss' on epoch 3: 3.175524950027466 | |
| 01-18 13:37:46 INFO [logging.py:61]: Loss 'nar_loss' on epoch 3: 0.0 | |
| 01-18 13:37:46 INFO [logging.py:61]: Loss 'ar_accuracy_metric' on epoch 3: 0.6268473267555237 | |
| 01-18 13:37:46 INFO [logging.py:61]: Loss 'nar_acc_metric' on epoch 3: 0.0 | |
| 01-18 13:37:46 INFO [logging.py:61]: ========= Epoch 4 out of 1000 ========= | |
| 01-18 13:37:46 INFO [logging.py:61]: Begin training... | |
| 01-18 13:47:20 INFO [logging.py:61]: Loss 'loss' on epoch 4: 3.0606117248535156 | |
| 01-18 13:47:20 INFO [logging.py:61]: Loss 'ar_loss' on epoch 4: 3.0606117248535156 | |
| 01-18 13:47:20 INFO [logging.py:61]: Loss 'nar_loss' on epoch 4: 0.0 | |
| 01-18 13:47:20 INFO [logging.py:61]: Loss 'ar_accuracy_metric' on epoch 4: 0.6437094211578369 | |
| 01-18 13:47:20 INFO [logging.py:61]: Loss 'nar_acc_metric' on epoch 4: 0.0 | |
| 01-18 13:47:20 INFO [logging.py:61]: ========= Epoch 5 out of 1000 ========= | |
| 01-18 13:47:20 INFO [logging.py:61]: Begin training... | |
| 01-18 13:56:19 INFO [logging.py:61]: Loss 'loss' on epoch 5: 2.9828383922576904 | |
| 01-18 13:56:19 INFO [logging.py:61]: Loss 'ar_loss' on epoch 5: 2.9828383922576904 | |
| 01-18 13:56:19 INFO [logging.py:61]: Loss 'nar_loss' on epoch 5: 0.0 | |
| 01-18 13:56:19 INFO [logging.py:61]: Loss 'ar_accuracy_metric' on epoch 5: 0.6574126482009888 | |
| 01-18 13:56:19 INFO [logging.py:61]: Loss 'nar_acc_metric' on epoch 5: 0.0 | |
| 01-18 13:56:19 INFO [logging.py:61]: Saving current state to /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR/checkpoints/epoch_0005 | |
| 01-18 13:56:21 INFO [logging.py:61]: Model weights saved in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR/checkpoints/epoch_0005/pytorch_model.bin | |
| 01-18 13:56:23 INFO [logging.py:61]: Optimizer state saved in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR/checkpoints/epoch_0005/optimizer.bin | |
| 01-18 13:56:23 INFO [logging.py:61]: Scheduler state saved in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR/checkpoints/epoch_0005/scheduler.bin | |
| 01-18 13:56:23 INFO [logging.py:61]: Sampler state for dataloader 0 saved in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR/checkpoints/epoch_0005/sampler.bin | |
| 01-18 13:56:23 INFO [logging.py:61]: Sampler state for dataloader 1 saved in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR/checkpoints/epoch_0005/sampler_1.bin | |
| 01-18 13:56:23 INFO [logging.py:61]: Random states saved in /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR/checkpoints/epoch_0005/random_states_0.pkl | |
| 01-18 13:56:23 INFO [logging.py:61]: Saving the state of TrainerState to /fred/oz325/xhao/proj/audiozen/recipes/librimix_sot/tokenizer_separation/exp/swin_default_LR1e-4_AR-NAR/checkpoints/epoch_0005/custom_checkpoint_0.pkl | |
| 01-18 13:56:23 INFO [logging.py:61]: ========= Epoch 6 out of 1000 ========= | |
| 01-18 13:56:23 INFO [logging.py:61]: Begin training... | |
| 01-18 14:06:06 INFO [logging.py:61]: Loss 'loss' on epoch 6: 2.9489591121673584 | |
| 01-18 14:06:06 INFO [logging.py:61]: Loss 'ar_loss' on epoch 6: 2.9489591121673584 | |
| 01-18 14:06:06 INFO [logging.py:61]: Loss 'nar_loss' on epoch 6: 0.0 | |
| 01-18 14:06:06 INFO [logging.py:61]: Loss 'ar_accuracy_metric' on epoch 6: 0.6638808846473694 | |
| 01-18 14:06:06 INFO [logging.py:61]: Loss 'nar_acc_metric' on epoch 6: 0.0 | |
| 01-18 14:06:06 INFO [logging.py:61]: ========= Epoch 7 out of 1000 ========= | |
| 01-18 14:06:06 INFO [logging.py:61]: Begin training... | |
| 01-18 14:15:31 INFO [logging.py:61]: Loss 'loss' on epoch 7: 2.9095468521118164 | |
| 01-18 14:15:31 INFO [logging.py:61]: Loss 'ar_loss' on epoch 7: 2.9095468521118164 | |
| 01-18 14:15:31 INFO [logging.py:61]: Loss 'nar_loss' on epoch 7: 0.0 | |
| 01-18 14:15:31 INFO [logging.py:61]: Loss 'ar_accuracy_metric' on epoch 7: 0.670335590839386 | |
| 01-18 14:15:31 INFO [logging.py:61]: Loss 'nar_acc_metric' on epoch 7: 0.0 | |
| 01-18 14:15:31 INFO [logging.py:61]: ========= Epoch 8 out of 1000 ========= | |
| 01-18 14:15:31 INFO [logging.py:61]: Begin training... | |
| 01-18 14:25:02 INFO [logging.py:61]: Loss 'loss' on epoch 8: 2.8823063373565674 | |
| 01-18 14:25:02 INFO [logging.py:61]: Loss 'ar_loss' on epoch 8: 2.8823063373565674 | |
| 01-18 14:25:02 INFO [logging.py:61]: Loss 'nar_loss' on epoch 8: 0.0 | |
| 01-18 14:25:02 INFO [logging.py:61]: Loss 'ar_accuracy_metric' on epoch 8: 0.6748366355895996 | |
| 01-18 14:25:02 INFO [logging.py:61]: Loss 'nar_acc_metric' on epoch 8: 0.0 | |
| 01-18 14:25:02 INFO [logging.py:61]: ========= Epoch 9 out of 1000 ========= | |
| 01-18 14:25:02 INFO [logging.py:61]: Begin training... | |