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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.21.feed_forward.w3.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.21.feed_forward.w3.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.21.feed_forward.w2.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.attention.wqkv.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.attention.wqkv.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.attention.wo.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.attention.wo.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.feed_forward.w1.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.feed_forward.w1.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.feed_forward.w3.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.feed_forward.w3.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.feed_forward.w2.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.22.feed_forward.w2.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.attention.wqkv.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.attention.wqkv.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.attention.wo.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.attention.wo.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.feed_forward.w1.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.feed_forward.w1.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.feed_forward.w3.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.feed_forward.w3.lora_B.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.feed_forward.w2.lora_A.default.weight
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10/22/2024 17:18:25 - INFO - __main__ - language_model.base_model.model.model.layers.23.feed_forward.w2.lora_B.default.weight
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[INFO|trainer.py:571] 2024-10-22 17:18:25,354 >> Using auto half precision backend
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trainable params: 15,728,640 || all params: 1,904,875,520 || trainable%: 0.8257
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[2024-10-22 17:18:25,454] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed info: version=0.10.0, git-hash=unknown, git-branch=unknown
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[2024-10-22 17:18:26,696] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False
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Using /mnt/SSD1_4TB/yunjie/.cache/torch_extensions/py310_cu121 as PyTorch extensions root...
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Using /mnt/SSD1_4TB/yunjie/.cache/torch_extensions/py310_cu121 as PyTorch extensions root...
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Using /mnt/SSD1_4TB/yunjie/.cache/torch_extensions/py310_cu121 as PyTorch extensions root...
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Detected CUDA files, patching ldflags
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Emitting ninja build file /mnt/SSD1_4TB/yunjie/.cache/torch_extensions/py310_cu121/fused_adam/build.ninja...
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Building extension module fused_adam...
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Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
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Using /mnt/SSD1_4TB/yunjie/.cache/torch_extensions/py310_cu121 as PyTorch extensions root...
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ninja: no work to do.
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Loading extension module fused_adam...
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Time to load fused_adam op: 0.05129432678222656 seconds
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Rank: 3 partition count [4] and sizes[(3932160, False)]
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Loading extension module fused_adam...
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Time to load fused_adam op: 0.1014089584350586 seconds
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[2024-10-22 17:18:27,035] [INFO] [logging.py:96:log_dist] [Rank 0] Using DeepSpeed Optimizer param name adamw as basic optimizer
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Loading extension module fused_adam...
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Time to load fused_adam op: 0.10134196281433105 seconds
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[2024-10-22 17:18:27,050] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam
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[2024-10-22 17:18:27,050] [INFO] [utils.py:54:is_zero_supported_optimizer] Checking ZeRO support for optimizer=FusedAdam type=<class 'deepspeed.ops.adam.fused_adam.FusedAdam'>
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[2024-10-22 17:18:27,050] [INFO] [logging.py:96:log_dist] [Rank 0] Creating torch.bfloat16 ZeRO stage 1 optimizer
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[2024-10-22 17:18:27,050] [INFO] [stage_1_and_2.py:133:__init__] Reduce bucket size 1000000000
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[2024-10-22 17:18:27,050] [INFO] [stage_1_and_2.py:134:__init__] Allgather bucket size 1000000000
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[2024-10-22 17:18:27,050] [INFO] [stage_1_and_2.py:135:__init__] CPU Offload: False
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[2024-10-22 17:18:27,050] [INFO] [stage_1_and_2.py:136:__init__] Round robin gradient partitioning: False
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Loading extension module fused_adam...
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Time to load fused_adam op: 0.10183310508728027 seconds
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Rank: 0 partition count [4] and sizes[(3932160, False)]
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Rank: 1 partition count [4] and sizes[(3932160, False)]
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Rank: 2 partition count [4] and sizes[(3932160, False)]
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[2024-10-22 17:18:27,517] [INFO] [utils.py:785:see_memory_usage] Before initializing optimizer states
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[2024-10-22 17:18:27,517] [INFO] [utils.py:786:see_memory_usage] MA 4.94 GB Max_MA 4.95 GB CA 5.17 GB Max_CA 5 GB
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[2024-10-22 17:18:27,517] [INFO] [utils.py:793:see_memory_usage] CPU Virtual Memory: used = 34.55 GB, percent = 6.9%
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[2024-10-22 17:18:27,618] [INFO] [utils.py:785:see_memory_usage] After initializing optimizer states
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[2024-10-22 17:18:27,619] [INFO] [utils.py:786:see_memory_usage] MA 4.97 GB Max_MA 4.99 GB CA 5.2 GB Max_CA 5 GB
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[2024-10-22 17:18:27,619] [INFO] [utils.py:793:see_memory_usage] CPU Virtual Memory: used = 34.54 GB, percent = 6.9%
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[2024-10-22 17:18:27,619] [INFO] [stage_1_and_2.py:493:__init__] optimizer state initialized
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[2024-10-22 17:18:27,726] [INFO] [utils.py:785:see_memory_usage] After initializing ZeRO optimizer
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[2024-10-22 17:18:27,727] [INFO] [utils.py:786:see_memory_usage] MA 4.97 GB Max_MA 4.97 GB CA 5.2 GB Max_CA 5 GB
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[2024-10-22 17:18:27,727] [INFO] [utils.py:793:see_memory_usage] CPU Virtual Memory: used = 34.53 GB, percent = 6.9%
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[2024-10-22 17:18:27,729] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Final Optimizer = adamw
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[2024-10-22 17:18:27,729] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed using client callable to create LR scheduler
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[2024-10-22 17:18:27,729] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed LR Scheduler = <torch.optim.lr_scheduler.LambdaLR object at 0x7bc527bedba0>
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[2024-10-22 17:18:27,729] [INFO] [logging.py:96:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0], mom=[[0.9, 0.999]]
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[2024-10-22 17:18:27,731] [INFO] [config.py:960:print] DeepSpeedEngine configuration:
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[2024-10-22 17:18:27,731] [INFO] [config.py:964:print] activation_checkpointing_config {
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"partition_activations": false,
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"contiguous_memory_optimization": false,
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"cpu_checkpointing": false,
|
"number_checkpoints": null,
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"synchronize_checkpoint_boundary": false,
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"profile": false
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}
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[2024-10-22 17:18:27,731] [INFO] [config.py:964:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
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[2024-10-22 17:18:27,731] [INFO] [config.py:964:print] amp_enabled .................. False
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[2024-10-22 17:18:27,731] [INFO] [config.py:964:print] amp_params ................... False
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[2024-10-22 17:18:27,732] [INFO] [config.py:964:print] autotuning_config ............ {
|
"enabled": false,
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"start_step": null,
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"end_step": null,
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"metric_path": null,
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"arg_mappings": null,
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"metric": "throughput",
|
"model_info": null,
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"results_dir": "autotuning_results",
|
"exps_dir": "autotuning_exps",
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"overwrite": true,
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"fast": true,
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"start_profile_step": 3,
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"end_profile_step": 5,
|
"tuner_type": "gridsearch",
|
"tuner_early_stopping": 5,
|
"tuner_num_trials": 50,
|
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