Andromeda / FailureAnalysis /OptimizerDict.md
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ata: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 180M/180M [00:03<00:00, 46.3MB/s]
Downloading data: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 180M/180M [00:04<00:00, 37.2MB/s]
Downloading data: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 180M/180M [00:03<00:00, 47.5MB/s]
Downloading data: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 180M/180M [00:03<00:00, 46.0MB/s]
Downloading data: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 180M/180M [00:04<00:00, 41.2MB/s]
Downloading data files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1Downloading data files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [27:46<00:00, 1666.10s/it]
Extracting data files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:00<00:00, 12.85it/s]
Dataset parquet downloaded and prepared to /home/commune/.cache/huggingface/datasets/conceptofmind___parquet/conceptofmind--c4_0-to-20_neox_with_eos_8k-dd8655ce54e7b6cc/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.
Found cached dataset parquet (/home/commune/.cache/huggingface/datasets/conceptofmind___parquet/conceptofmind--c4_0-to-20_neox_with_eos_8k-dd8655ce54e7b6cc/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)
Found cached dataset parquet (/home/commune/.cache/huggingface/datasets/conceptofmind___parquet/conceptofmind--c4_0-to-20_neox_with_eos_8k-dd8655ce54e7b6cc/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)
Found cached dataset parquet (/home/commune/.cache/huggingface/datasets/conceptofmind___parquet/conceptofmind--c4_0-to-20_neox_with_eos_8k-dd8655ce54e7b6cc/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)
Found cached dataset parquet (/home/commune/.cache/huggingface/datasets/conceptofmind___parquet/conceptofmind--c4_0-to-20_neox_with_eos_8k-dd8655ce54e7b6cc/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)
Found cached dataset parquet (/home/commune/.cache/huggingface/datasets/conceptofmind___parquet/conceptofmind--c4_0-to-20_neox_with_eos_8k-dd8655ce54e7b6cc/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)
[2023-07-24 15:58:13,787] [INFO] [logging.py:96:log_dist] [Rank -1] DeepSpeed info: version=0.9.5, git-hash=unknown, git-branch=unknown
[2023-07-24 15:58:13,787] [INFO] [logging.py:96:log_dist] [Rank -1] DeepSpeed info: version=0.9.5, git-hash=unknown, git-branch=unknown
[2023-07-24 15:58:13,787] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2023-07-24 15:58:13,787] [INFO] [comm.py:594:init_distributed] cdb=None
[2023-07-24 15:58:13,787] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2023-07-24 15:58:13,787] [INFO] [comm.py:594:init_distributed] cdb=None
[2023-07-24 15:58:13,789] [INFO] [logging.py:96:log_dist] [Rank -1] DeepSpeed info: version=0.9.5, git-hash=unknown, git-branch=unknown
[2023-07-24 15:58:13,790] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2023-07-24 15:58:13,790] [INFO] [comm.py:594:init_distributed] cdb=None
[2023-07-24 15:58:13,790] [INFO] [logging.py:96:log_dist] [Rank -1] DeepSpeed info: version=0.9.5, git-hash=unknown, git-branch=unknown
[2023-07-24 15:58:13,790] [INFO] [logging.py:96:log_dist] [Rank -1] DeepSpeed info: version=0.9.5, git-hash=unknown, git-branch=unknown
[2023-07-24 15:58:13,790] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2023-07-24 15:58:13,790] [INFO] [comm.py:594:init_distributed] cdb=None
[2023-07-24 15:58:13,790] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2023-07-24 15:58:13,790] [INFO] [comm.py:594:init_distributed] cdb=None
[2023-07-24 15:58:13,791] [INFO] [logging.py:96:log_dist] [Rank -1] DeepSpeed info: version=0.9.5, git-hash=unknown, git-branch=unknown
[2023-07-24 15:58:13,792] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2023-07-24 15:58:13,792] [INFO] [comm.py:594:init_distributed] cdb=None
[2023-07-24 15:58:17,032] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False
[2023-07-24 15:58:17,035] [INFO] [logging.py:96:log_dist] [Rank 0] Creating ZeRO Offload
Traceback (most recent call last):
File "/home/commune/Andromeda/Andromeda/train.py", line 667, in <module>
File "/home/commune/Andromeda/Andromeda/train.py", line 664, in main
File "/home/commune/Andromeda/Andromeda/train.py", line 519, in Train
beta_2=0.95,
File "/home/commune/Andromeda/Andromeda/train.py", line 294, in decoupled_optimizer
# Create an empty list to store the names of the LayerNorm and Embedding layer weights with no weight decay.
AttributeError: 'tuple' object has no attribute 'named_parameters'
[2023-07-24 15:58:17,268] [INFO] [utils.py:785:see_memory_usage] DeepSpeedZeRoOffload initialize [begin]
[2023-07-24 15:58:17,268] [INFO] [utils.py:786:see_memory_usage] MA 0.68 GB Max_MA 0.68 GB CA 0.69 GB Max_CA 1 GB
[2023-07-24 15:58:17,268] [INFO] [utils.py:793:see_memory_usage] CPU Virtual Memory: used = 18.35 GB, percent = 3.6%
Traceback (most recent call last):
File "/home/commune/Andromeda/Andromeda/train.py", line 667, in <module>
File "/home/commune/Andromeda/Andromeda/train.py", line 664, in main
File "/home/commune/Andromeda/Andromeda/train.py", line 519, in Train
beta_2=0.95,
File "/home/commune/Andromeda/Andromeda/train.py", line 294, in decoupled_optimizer
# Create an empty list to store the names of the LayerNorm and Embedding layer weights with no weight decay.
AttributeError: 'tuple' object has no attribute 'named_parameters'
Traceback (most recent call last):
File "/home/commune/Andromeda/Andromeda/train.py", line 667, in <module>
File "/home/commune/Andromeda/Andromeda/train.py", line 664, in main
File "/home/commune/Andromeda/Andromeda/train.py", line 519, in Train
beta_2=0.95,
File "/home/commune/Andromeda/Andromeda/train.py", line 294, in decoupled_optimizer
# Create an empty list to store the names of the LayerNorm and Embedding layer weights with no weight decay.
AttributeError: 'tuple' object has no attribute 'named_parameters'
Traceback (most recent call last):
File "/home/commune/Andromeda/Andromeda/train.py", line 667, in <module>
File "/home/commune/Andromeda/Andromeda/train.py", line 664, in main
File "/home/commune/Andromeda/Andromeda/train.py", line 519, in Train
beta_2=0.95,
File "/home/commune/Andromeda/Andromeda/train.py", line 294, in decoupled_optimizer
# Create an empty list to store the names of the LayerNorm and Embedding layer weights with no weight decay.
AttributeError: 'tuple' object has no attribute 'named_parameters'
Parameter Offload: Total persistent parameters: 108032 in 490 params
Traceback (most recent call last):
File "/home/commune/Andromeda/Andromeda/train.py", line 667, in <module>
File "/home/commune/Andromeda/Andromeda/train.py", line 664, in main
File "/home/commune/Andromeda/Andromeda/train.py", line 519, in Train
beta_2=0.95,
File "/home/commune/Andromeda/Andromeda/train.py", line 294, in decoupled_optimizer
# Create an empty list to store the names of the LayerNorm and Embedding layer weights with no weight decay.
AttributeError: 'tuple' object has no attribute 'named_parameters'
[2023-07-24 15:58:17,449] [INFO] [utils.py:785:see_memory_usage] DeepSpeedZeRoOffload initialize [end]
[2023-07-24 15:58:17,450] [INFO] [utils.py:786:see_memory_usage] MA 0.8 GB Max_MA 0.8 GB CA 0.8 GB Max_CA 1 GB
[2023-07-24 15:58:17,450] [INFO] [utils.py:793:see_memory_usage] CPU Virtual Memory: used = 18.39 GB, percent = 3.7%
[2023-07-24 15:58:17,451] [INFO] [config.py:960:print] DeepSpeedEngine configuration:
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] activation_checkpointing_config {
"partition_activations": false,
"contiguous_memory_optimization": false,
"cpu_checkpointing": false,
"number_checkpoints": null,
"synchronize_checkpoint_boundary": false,
"profile": false
}
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] amp_enabled .................. False
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] amp_params ................... False
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] autotuning_config ............ {
"enabled": false,
"start_step": null,
"end_step": null,
"metric_path": null,
"arg_mappings": null,
"metric": "throughput",
"model_info": null,
"results_dir": "autotuning_results",
"exps_dir": "autotuning_exps",
"overwrite": true,
"fast": true,
"start_profile_step": 3,
"end_profile_step": 5,
"tuner_type": "gridsearch",
"tuner_early_stopping": 5,
"tuner_num_trials": 50,
"model_info_path": null,
"mp_size": 1,
"max_train_batch_size": null,
"min_train_batch_size": 1,
"max_train_micro_batch_size_per_gpu": 1.024000e+03,
"min_train_micro_batch_size_per_gpu": 1,
"num_tuning_micro_batch_sizes": 3
}
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] bfloat16_enabled ............. False
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] checkpoint_parallel_write_pipeline False
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] checkpoint_tag_validation_enabled True
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] checkpoint_tag_validation_fail False
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x7f06c428a950>
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] communication_data_type ...... None
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}}
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] curriculum_enabled_legacy .... False
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] curriculum_params_legacy ..... False
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] data_efficiency_config ....... {'enabled': False, 'seed': 1234, 'data_sampling': {'enabled': False, 'num_epochs': 1000, 'num_workers': 0, 'curriculum_learning': {'enabled': False}}, 'data_routing': {'enabled': False, 'random_ltd': {'enabled': False, 'layer_token_lr_schedule': {'enabled': False}}}}
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] data_efficiency_enabled ...... False
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] dataloader_drop_last ......... False
[2023-07-24 15:58:17,451] [INFO] [config.py:964:print] disable_allgather ............ False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] dump_state ................... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] dynamic_loss_scale_args ...... None
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] eigenvalue_enabled ........... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] eigenvalue_gas_boundary_resolution 1
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] eigenvalue_layer_name ........ bert.encoder.layer
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] eigenvalue_layer_num ......... 0
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] eigenvalue_max_iter .......... 100
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] eigenvalue_stability ......... 1e-06
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] eigenvalue_tol ............... 0.01
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] eigenvalue_verbose ........... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] elasticity_enabled ........... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] flops_profiler_config ........ {
"enabled": false,
"recompute_fwd_factor": 0.0,
"profile_step": 1,
"module_depth": -1,
"top_modules": 1,
"detailed": true,
"output_file": null
}
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] fp16_auto_cast ............... True
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] fp16_enabled ................. True
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] fp16_master_weights_and_gradients False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] global_rank .................. 0
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] grad_accum_dtype ............. None
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] gradient_accumulation_steps .. 1
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] gradient_clipping ............ 0.0
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] gradient_predivide_factor .... 1.0
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] hybrid_engine ................ enabled=False max_out_tokens=512 inference_tp_size=1 release_inference_cache=False pin_parameters=True tp_gather_partition_size=8
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] initial_dynamic_scale ........ 65536
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] load_universal_checkpoint .... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] loss_scale ................... 0
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] memory_breakdown ............. False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] mics_hierarchial_params_gather False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] mics_shard_size .............. -1
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] monitor_config ............... tensorboard=TensorBoardConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') wandb=WandbConfig(enabled=False, group=None, team=None, project='deepspeed') csv_monitor=CSVConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') enabled=False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] nebula_config ................ {
"enabled": false,
"persistent_storage_path": null,
"persistent_time_interval": 100,
"num_of_version_in_retention": 2,
"enable_nebula_load": true,
"load_path": null
}
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] optimizer_legacy_fusion ...... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] optimizer_name ............... None
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] optimizer_params ............. None
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0}
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] pld_enabled .................. False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] pld_params ................... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] prescale_gradients ........... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] scheduler_name ............... None
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] scheduler_params ............. None
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] sparse_attention ............. None
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] sparse_gradients_enabled ..... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] steps_per_print .............. inf
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] train_batch_size ............. 18
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] train_micro_batch_size_per_gpu 3
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] use_node_local_storage ....... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] wall_clock_breakdown ......... False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] world_size ................... 6
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] zero_allow_untested_optimizer False
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] zero_config .................. stage=3 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500,000,000 allgather_partitions=True allgather_bucket_size=500,000,000 overlap_comm=True load_from_fp32_weights=True elastic_checkpoint=False offload_param=DeepSpeedZeroOffloadParamConfig(device='none', nvme_path=None, buffer_count=5, buffer_size=100,000,000, max_in_cpu=1,000,000,000, pin_memory=False) offload_optimizer=DeepSpeedZeroOffloadOptimizerConfig(device='none', nvme_path=None, buffer_count=4, pin_memory=False, pipeline=False, pipeline_read=False, pipeline_write=False, fast_init=False) sub_group_size=1,000,000,000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50,000,000 param_persistence_threshold=100,000 model_persistence_threshold=sys.maxsize max_live_parameters=1,000,000,000 max_reuse_distance=1,000,000,000 gather_16bit_weights_on_model_save=True stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False mics_shard_size=-1 mics_hierarchical_params_gather=False memory_efficient_linear=True
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] zero_enabled ................. True
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] zero_force_ds_cpu_optimizer .. True
[2023-07-24 15:58:17,452] [INFO] [config.py:964:print] zero_optimization_stage ...... 3
[2023-07-24 15:58:17,453] [INFO] [config.py:950:print_user_config] json = {
"train_batch_size": 18,
"train_micro_batch_size_per_gpu": 3,
"gradient_accumulation_steps": 1,
"zero_optimization": {
"stage": 3,
"offload_optimizer": {
"device": "none",
"nvme_path": null
},
"offload_param": {
"device": "none",
"nvme_path": null
},
"stage3_gather_16bit_weights_on_model_save": true
},
"steps_per_print": inf,
"fp16": {
"enabled": true,
"auto_cast": true
},
"bf16": {
"enabled": false
}
}
Using stable_adamw optimizer
Traceback (most recent call last):
File "/home/commune/Andromeda/Andromeda/train.py", line 667, in <module>
File "/home/commune/Andromeda/Andromeda/train.py", line 664, in main
File "/home/commune/Andromeda/Andromeda/train.py", line 519, in Train
beta_2=0.95,
File "/home/commune/Andromeda/Andromeda/train.py", line 294, in decoupled_optimizer
# Create an empty list to store the names of the LayerNorm and Embedding layer weights with no weight decay.
AttributeError: 'tuple' object has no attribute 'named_parameters'
Traceback (most recent call last):
File "/home/commune/Andromeda/Andromeda/train.py", line 667, in <module>
File "/home/commune/Andromeda/Andromeda/train.py", line 664, in main
File "/home/commune/Andromeda/Andromeda/train.py", line 519, in Train
beta_2=0.95,
File "/home/commune/Andromeda/Andromeda/train.py", line 294, in decoupled_optimizer
# Create an empty list to store the names of the LayerNorm and Embedding layer weights with no weight decay.
AttributeError: 'tuple' object has no attribute 'named_parameters'