breeze-dsw-tiny-id / breeze-dsw-tiny-id.log
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End of training
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[2024-01-13 11:34:33,788] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-01-13 11:34:34,622] [WARNING] [runner.py:202:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
[2024-01-13 11:34:34,623] [INFO] [runner.py:571:main] cmd = /home/sp-operator/hf_env/bin/python3 -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMF19 --master_addr=127.0.0.1 --master_port=29500 --enable_each_rank_log=None /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/run_speech_recognition_seq2seq_streaming.py --deepspeed=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/ds_config.json --model_name_or_path=openai/whisper-tiny --dataset_name=mozilla-foundation/common_voice_16_0 --dataset_config_name=id --language=Indonesian --train_split_name=train --eval_split_name=test --model_index_name=Breeze DSW Indonesian - tiny --max_steps=2000 --output_dir=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id --per_device_train_batch_size=32 --per_device_eval_batch_size=16 --logging_steps=25 --learning_rate=1e-5 --warmup_steps=500 --evaluation_strategy=steps --eval_steps=200 --save_strategy=steps --save_steps=200 --generation_max_length=225 --length_column_name=input_length --max_duration_in_seconds=30 --text_column_name=sentence --freeze_feature_encoder=False --report_to=tensorboard --metric_for_best_model=wer --greater_is_better=False --load_best_model_at_end --gradient_checkpointing --fp16 --do_train --do_eval --predict_with_generate --do_normalize_eval --streaming --use_auth_token --push_to_hub
[2024-01-13 11:34:36,328] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-01-13 11:34:37,085] [INFO] [launch.py:145:main] WORLD INFO DICT: {'localhost': [0]}
[2024-01-13 11:34:37,085] [INFO] [launch.py:151:main] nnodes=1, num_local_procs=1, node_rank=0
[2024-01-13 11:34:37,085] [INFO] [launch.py:162:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0]})
[2024-01-13 11:34:37,085] [INFO] [launch.py:163:main] dist_world_size=1
[2024-01-13 11:34:37,085] [INFO] [launch.py:165:main] Setting CUDA_VISIBLE_DEVICES=0
[2024-01-13 11:34:40,302] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-01-13 11:34:40,485] [INFO] [comm.py:637:init_distributed] cdb=None
[2024-01-13 11:34:40,485] [INFO] [comm.py:668:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
01/13/2024 11:34:40 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: True
01/13/2024 11:34:40 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments(
_n_gpu=1,
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
auto_find_batch_size=False,
bf16=False,
bf16_full_eval=False,
data_seed=None,
dataloader_drop_last=False,
dataloader_num_workers=0,
dataloader_persistent_workers=False,
dataloader_pin_memory=True,
ddp_backend=None,
ddp_broadcast_buffers=None,
ddp_bucket_cap_mb=None,
ddp_find_unused_parameters=None,
ddp_timeout=1800,
debug=[],
deepspeed=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/ds_config.json,
disable_tqdm=False,
dispatch_batches=None,
do_eval=True,
do_predict=False,
do_train=True,
eval_accumulation_steps=None,
eval_delay=0,
eval_steps=200,
evaluation_strategy=steps,
fp16=True,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
fsdp=[],
fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False},
fsdp_min_num_params=0,
fsdp_transformer_layer_cls_to_wrap=None,
full_determinism=False,
generation_config=None,
generation_max_length=225,
generation_num_beams=None,
gradient_accumulation_steps=1,
gradient_checkpointing=True,
gradient_checkpointing_kwargs=None,
greater_is_better=False,
group_by_length=False,
half_precision_backend=auto,
hub_always_push=False,
hub_model_id=None,
hub_private_repo=False,
hub_strategy=every_save,
hub_token=<HUB_TOKEN>,
ignore_data_skip=False,
include_inputs_for_metrics=False,
include_num_input_tokens_seen=False,
include_tokens_per_second=False,
jit_mode_eval=False,
label_names=None,
label_smoothing_factor=0.0,
learning_rate=1e-05,
length_column_name=input_length,
load_best_model_at_end=True,
local_rank=0,
log_level=passive,
log_level_replica=warning,
log_on_each_node=True,
logging_dir=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/runs/Jan13_11-34-39_knight,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=25,
logging_strategy=steps,
lr_scheduler_kwargs={},
lr_scheduler_type=linear,
max_grad_norm=1.0,
max_steps=2000,
metric_for_best_model=wer,
mp_parameters=,
neftune_noise_alpha=None,
no_cuda=False,
num_train_epochs=3.0,
optim=adamw_torch,
optim_args=None,
output_dir=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id,
overwrite_output_dir=False,
past_index=-1,
per_device_eval_batch_size=16,
per_device_train_batch_size=32,
predict_with_generate=True,
prediction_loss_only=False,
push_to_hub=True,
push_to_hub_model_id=None,
push_to_hub_organization=None,
push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
ray_scope=last,
remove_unused_columns=True,
report_to=['tensorboard'],
resume_from_checkpoint=None,
run_name=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id,
save_on_each_node=False,
save_only_model=False,
save_safetensors=True,
save_steps=200,
save_strategy=steps,
save_total_limit=None,
seed=42,
skip_memory_metrics=True,
sortish_sampler=False,
split_batches=False,
tf32=None,
torch_compile=False,
torch_compile_backend=None,
torch_compile_mode=None,
torchdynamo=None,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_cpu=False,
use_ipex=False,
use_legacy_prediction_loop=False,
use_mps_device=False,
warmup_ratio=0.0,
warmup_steps=500,
weight_decay=0.0,
)
01/13/2024 11:34:40 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments(
_n_gpu=1,
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
auto_find_batch_size=False,
bf16=False,
bf16_full_eval=False,
data_seed=None,
dataloader_drop_last=False,
dataloader_num_workers=0,
dataloader_persistent_workers=False,
dataloader_pin_memory=True,
ddp_backend=None,
ddp_broadcast_buffers=None,
ddp_bucket_cap_mb=None,
ddp_find_unused_parameters=None,
ddp_timeout=1800,
debug=[],
deepspeed=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/ds_config.json,
disable_tqdm=False,
dispatch_batches=None,
do_eval=True,
do_predict=False,
do_train=True,
eval_accumulation_steps=None,
eval_delay=0,
eval_steps=200,
evaluation_strategy=steps,
fp16=True,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
fsdp=[],
fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False},
fsdp_min_num_params=0,
fsdp_transformer_layer_cls_to_wrap=None,
full_determinism=False,
generation_config=None,
generation_max_length=225,
generation_num_beams=None,
gradient_accumulation_steps=1,
gradient_checkpointing=True,
gradient_checkpointing_kwargs=None,
greater_is_better=False,
group_by_length=False,
half_precision_backend=auto,
hub_always_push=False,
hub_model_id=None,
hub_private_repo=False,
hub_strategy=every_save,
hub_token=<HUB_TOKEN>,
ignore_data_skip=False,
include_inputs_for_metrics=False,
include_num_input_tokens_seen=False,
include_tokens_per_second=False,
jit_mode_eval=False,
label_names=None,
label_smoothing_factor=0.0,
learning_rate=1e-05,
length_column_name=input_length,
load_best_model_at_end=True,
local_rank=0,
log_level=passive,
log_level_replica=warning,
log_on_each_node=True,
logging_dir=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/runs/Jan13_11-34-39_knight,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=25,
logging_strategy=steps,
lr_scheduler_kwargs={},
lr_scheduler_type=linear,
max_grad_norm=1.0,
max_steps=2000,
metric_for_best_model=wer,
mp_parameters=,
neftune_noise_alpha=None,
no_cuda=False,
num_train_epochs=3.0,
optim=adamw_torch,
optim_args=None,
output_dir=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id,
overwrite_output_dir=False,
past_index=-1,
per_device_eval_batch_size=16,
per_device_train_batch_size=32,
predict_with_generate=True,
prediction_loss_only=False,
push_to_hub=True,
push_to_hub_model_id=None,
push_to_hub_organization=None,
push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
ray_scope=last,
remove_unused_columns=True,
report_to=['tensorboard'],
resume_from_checkpoint=None,
run_name=/cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id,
save_on_each_node=False,
save_only_model=False,
save_safetensors=True,
save_steps=200,
save_strategy=steps,
save_total_limit=None,
seed=42,
skip_memory_metrics=True,
sortish_sampler=False,
split_batches=False,
tf32=None,
torch_compile=False,
torch_compile_backend=None,
torch_compile_mode=None,
torchdynamo=None,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_cpu=False,
use_ipex=False,
use_legacy_prediction_loop=False,
use_mps_device=False,
warmup_ratio=0.0,
warmup_steps=500,
weight_decay=0.0,
)
01/13/2024 11:34:40 - INFO - __main__ - Checkpoint detected, resuming training at /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500. To avoid this behavior, change the `--output_dir` or add `--overwrite_output_dir` to train from scratch.
[2024-01-13 11:34:56,451] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed info: version=0.12.6, git-hash=unknown, git-branch=unknown
[2024-01-13 11:34:57,219] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False
Installed CUDA version 12.3 does not match the version torch was compiled with 12.1 but since the APIs are compatible, accepting this combination
[1/4] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=cpu_adam -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/home/sp-operator/hf_env/lib/python3.10/site-packages/deepspeed/ops/csrc/includes -I/usr/local/cuda/include -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include/TH -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /usr/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61 --compiler-options '-fPIC' -O3 --use_fast_math -std=c++17 -U__CUDA_NO_HALF_OPERATORS__ -U__CUDA_NO_HALF_CONVERSIONS__ -U__CUDA_NO_HALF2_OPERATORS__ -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_61,code=compute_61 -c /home/sp-operator/hf_env/lib/python3.10/site-packages/deepspeed/ops/csrc/common/custom_cuda_kernel.cu -o custom_cuda_kernel.cuda.o
[2/4] c++ -MMD -MF cpu_adam.o.d -DTORCH_EXTENSION_NAME=cpu_adam -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/home/sp-operator/hf_env/lib/python3.10/site-packages/deepspeed/ops/csrc/includes -I/usr/local/cuda/include -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include/TH -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /usr/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++17 -O3 -std=c++17 -g -Wno-reorder -L/usr/local/cuda/lib64 -lcudart -lcublas -g -march=native -fopenmp -D__AVX256__ -D__ENABLE_CUDA__ -c /home/sp-operator/hf_env/lib/python3.10/site-packages/deepspeed/ops/csrc/adam/cpu_adam.cpp -o cpu_adam.o
[3/4] c++ -MMD -MF cpu_adam_impl.o.d -DTORCH_EXTENSION_NAME=cpu_adam -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/home/sp-operator/hf_env/lib/python3.10/site-packages/deepspeed/ops/csrc/includes -I/usr/local/cuda/include -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include/TH -isystem /home/sp-operator/hf_env/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /usr/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++17 -O3 -std=c++17 -g -Wno-reorder -L/usr/local/cuda/lib64 -lcudart -lcublas -g -march=native -fopenmp -D__AVX256__ -D__ENABLE_CUDA__ -c /home/sp-operator/hf_env/lib/python3.10/site-packages/deepspeed/ops/csrc/adam/cpu_adam_impl.cpp -o cpu_adam_impl.o
[4/4] c++ cpu_adam.o cpu_adam_impl.o custom_cuda_kernel.cuda.o -shared -lcurand -L/home/sp-operator/hf_env/lib/python3.10/site-packages/torch/lib -lc10 -lc10_cuda -ltorch_cpu -ltorch_cuda -ltorch -ltorch_python -L/usr/local/cuda/lib64 -lcudart -o cpu_adam.so
Time to load cpu_adam op: 26.69891905784607 seconds
Adam Optimizer #0 is created with AVX2 arithmetic capability.
Config: alpha=0.000010, betas=(0.900000, 0.999000), weight_decay=0.000000, adam_w=1
[2024-01-13 11:35:25,684] [INFO] [logging.py:96:log_dist] [Rank 0] Using DeepSpeed Optimizer param name adamw as basic optimizer
[2024-01-13 11:35:25,684] [INFO] [logging.py:96:log_dist] [Rank 0] Removing param_group that has no 'params' in the basic Optimizer
[2024-01-13 11:35:25,689] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Basic Optimizer = DeepSpeedCPUAdam
[2024-01-13 11:35:25,689] [INFO] [utils.py:56:is_zero_supported_optimizer] Checking ZeRO support for optimizer=DeepSpeedCPUAdam type=<class 'deepspeed.ops.adam.cpu_adam.DeepSpeedCPUAdam'>
[2024-01-13 11:35:25,689] [INFO] [logging.py:96:log_dist] [Rank 0] Creating torch.float16 ZeRO stage 2 optimizer
[2024-01-13 11:35:25,689] [INFO] [stage_1_and_2.py:148:__init__] Reduce bucket size 200000000
[2024-01-13 11:35:25,689] [INFO] [stage_1_and_2.py:149:__init__] Allgather bucket size 200000000
[2024-01-13 11:35:25,689] [INFO] [stage_1_and_2.py:150:__init__] CPU Offload: True
[2024-01-13 11:35:25,689] [INFO] [stage_1_and_2.py:151:__init__] Round robin gradient partitioning: False
[2024-01-13 11:35:25,955] [INFO] [utils.py:791:see_memory_usage] Before initializing optimizer states
[2024-01-13 11:35:25,956] [INFO] [utils.py:792:see_memory_usage] MA 0.11 GB Max_MA 0.11 GB CA 0.13 GB Max_CA 0 GB
[2024-01-13 11:35:25,956] [INFO] [utils.py:799:see_memory_usage] CPU Virtual Memory: used = 3.6 GB, percent = 5.7%
[2024-01-13 11:35:26,212] [INFO] [utils.py:791:see_memory_usage] After initializing optimizer states
[2024-01-13 11:35:26,213] [INFO] [utils.py:792:see_memory_usage] MA 0.11 GB Max_MA 0.11 GB CA 0.13 GB Max_CA 0 GB
[2024-01-13 11:35:26,213] [INFO] [utils.py:799:see_memory_usage] CPU Virtual Memory: used = 4.12 GB, percent = 6.6%
[2024-01-13 11:35:26,213] [INFO] [stage_1_and_2.py:516:__init__] optimizer state initialized
[2024-01-13 11:35:26,292] [INFO] [utils.py:791:see_memory_usage] After initializing ZeRO optimizer
[2024-01-13 11:35:26,292] [INFO] [utils.py:792:see_memory_usage] MA 0.11 GB Max_MA 0.11 GB CA 0.13 GB Max_CA 0 GB
[2024-01-13 11:35:26,292] [INFO] [utils.py:799:see_memory_usage] CPU Virtual Memory: used = 4.12 GB, percent = 6.6%
[2024-01-13 11:35:26,301] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Final Optimizer = adamw
[2024-01-13 11:35:26,301] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed using configured LR scheduler = WarmupDecayLR
[2024-01-13 11:35:26,301] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed LR Scheduler = <deepspeed.runtime.lr_schedules.WarmupDecayLR object at 0x7f77e1fad6f0>
[2024-01-13 11:35:26,301] [INFO] [logging.py:96:log_dist] [Rank 0] step=0, skipped=0, lr=[1e-05], mom=[[0.9, 0.999]]
[2024-01-13 11:35:26,301] [INFO] [config.py:984:print] DeepSpeedEngine configuration:
[2024-01-13 11:35:26,302] [INFO] [config.py:988:print] activation_checkpointing_config {
"partition_activations": false,
"contiguous_memory_optimization": false,
"cpu_checkpointing": false,
"number_checkpoints": null,
"synchronize_checkpoint_boundary": false,
"profile": false
}
[2024-01-13 11:35:26,302] [INFO] [config.py:988:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
[2024-01-13 11:35:26,302] [INFO] [config.py:988:print] amp_enabled .................. False
[2024-01-13 11:35:26,302] [INFO] [config.py:988:print] amp_params ................... False
[2024-01-13 11:35:26,302] [INFO] [config.py:988: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
}
[2024-01-13 11:35:26,302] [INFO] [config.py:988:print] bfloat16_enabled ............. False
[2024-01-13 11:35:26,302] [INFO] [config.py:988:print] checkpoint_parallel_write_pipeline False
[2024-01-13 11:35:26,302] [INFO] [config.py:988:print] checkpoint_tag_validation_enabled True
[2024-01-13 11:35:26,302] [INFO] [config.py:988:print] checkpoint_tag_validation_fail False
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x7f77e204dea0>
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] communication_data_type ...... None
[2024-01-13 11:35:26,303] [INFO] [config.py:988: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}}
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] curriculum_enabled_legacy .... False
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] curriculum_params_legacy ..... False
[2024-01-13 11:35:26,303] [INFO] [config.py:988: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}}}}
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] data_efficiency_enabled ...... False
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] dataloader_drop_last ......... False
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] disable_allgather ............ False
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] dump_state ................... False
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] dynamic_loss_scale_args ...... {'init_scale': 65536, 'scale_window': 1000, 'delayed_shift': 2, 'consecutive_hysteresis': False, 'min_scale': 1}
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] eigenvalue_enabled ........... False
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] eigenvalue_gas_boundary_resolution 1
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] eigenvalue_layer_name ........ bert.encoder.layer
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] eigenvalue_layer_num ......... 0
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] eigenvalue_max_iter .......... 100
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] eigenvalue_stability ......... 1e-06
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] eigenvalue_tol ............... 0.01
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] eigenvalue_verbose ........... False
[2024-01-13 11:35:26,303] [INFO] [config.py:988:print] elasticity_enabled ........... False
[2024-01-13 11:35:26,304] [INFO] [config.py:988: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
}
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] fp16_auto_cast ............... False
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] fp16_enabled ................. True
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] fp16_master_weights_and_gradients False
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] global_rank .................. 0
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] grad_accum_dtype ............. None
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] gradient_accumulation_steps .. 1
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] gradient_clipping ............ 1.0
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] gradient_predivide_factor .... 1.0
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] graph_harvesting ............. False
[2024-01-13 11:35:26,304] [INFO] [config.py:988: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
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] initial_dynamic_scale ........ 65536
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] load_universal_checkpoint .... False
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] loss_scale ................... 0
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] memory_breakdown ............. False
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] mics_hierarchial_params_gather False
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] mics_shard_size .............. -1
[2024-01-13 11:35:26,304] [INFO] [config.py:988: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
[2024-01-13 11:35:26,304] [INFO] [config.py:988: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
}
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] optimizer_legacy_fusion ...... False
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] optimizer_name ............... adamw
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] optimizer_params ............. {'lr': 1e-05, 'betas': [0.9, 0.999], 'eps': 1e-08, 'weight_decay': 0.0}
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0, 'pipe_partitioned': True, 'grad_partitioned': True}
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] pld_enabled .................. False
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] pld_params ................... False
[2024-01-13 11:35:26,304] [INFO] [config.py:988:print] prescale_gradients ........... False
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] scheduler_name ............... WarmupDecayLR
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] scheduler_params ............. {'last_batch_iteration': -1, 'total_num_steps': 2000, 'warmup_min_lr': 0, 'warmup_max_lr': 1e-05, 'warmup_num_steps': 500}
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] seq_parallel_communication_data_type torch.float32
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] sparse_attention ............. None
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] sparse_gradients_enabled ..... False
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] steps_per_print .............. inf
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] train_batch_size ............. 32
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] train_micro_batch_size_per_gpu 32
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] use_data_before_expert_parallel_ False
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] use_node_local_storage ....... False
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] wall_clock_breakdown ......... False
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] weight_quantization_config ... None
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] world_size ................... 1
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] zero_allow_untested_optimizer False
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] zero_config .................. stage=2 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=200000000 use_multi_rank_bucket_allreduce=True allgather_partitions=True allgather_bucket_size=200000000 overlap_comm=True load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=DeepSpeedZeroOffloadOptimizerConfig(device='cpu', nvme_path=None, buffer_count=4, pin_memory=True, pipeline=False, pipeline_read=False, pipeline_write=False, fast_init=False, ratio=1.0) 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=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False zero_hpz_partition_size=1 zero_quantized_weights=False zero_quantized_nontrainable_weights=False zero_quantized_gradients=False mics_shard_size=-1 mics_hierarchical_params_gather=False memory_efficient_linear=True pipeline_loading_checkpoint=False override_module_apply=True
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] zero_enabled ................. True
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] zero_force_ds_cpu_optimizer .. True
[2024-01-13 11:35:26,305] [INFO] [config.py:988:print] zero_optimization_stage ...... 2
[2024-01-13 11:35:26,305] [INFO] [config.py:974:print_user_config] json = {
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": 1e-05,
"betas": [0.9, 0.999],
"eps": 1e-08,
"weight_decay": 0.0
}
},
"scheduler": {
"type": "WarmupDecayLR",
"params": {
"last_batch_iteration": -1,
"total_num_steps": 2.000000e+03,
"warmup_min_lr": 0,
"warmup_max_lr": 1e-05,
"warmup_num_steps": 500
}
},
"zero_optimization": {
"stage": 2,
"offload_optimizer": {
"device": "cpu",
"pin_memory": true
},
"allgather_partitions": true,
"allgather_bucket_size": 2.000000e+08,
"overlap_comm": true,
"reduce_scatter": true,
"reduce_bucket_size": 2.000000e+08,
"contiguous_gradients": true
},
"gradient_accumulation_steps": 1,
"gradient_clipping": 1.0,
"train_batch_size": 32,
"train_micro_batch_size_per_gpu": 32,
"steps_per_print": inf,
"bf16": {
"enabled": false
}
}
[2024-01-13 11:35:26,322] [INFO] [torch_checkpoint_engine.py:27:load] [Torch] Loading checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/mp_rank_00_model_states.pt...
[2024-01-13 11:35:27,240] [INFO] [torch_checkpoint_engine.py:29:load] [Torch] Loaded checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/mp_rank_00_model_states.pt.
[2024-01-13 11:35:27,249] [INFO] [torch_checkpoint_engine.py:27:load] [Torch] Loading checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/mp_rank_00_model_states.pt...
[2024-01-13 11:35:27,294] [INFO] [torch_checkpoint_engine.py:29:load] [Torch] Loaded checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/mp_rank_00_model_states.pt.
[2024-01-13 11:35:27,354] [INFO] [torch_checkpoint_engine.py:27:load] [Torch] Loading checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/zero_pp_rank_0_mp_rank_00_optim_states.pt...
[2024-01-13 11:35:32,554] [INFO] [torch_checkpoint_engine.py:29:load] [Torch] Loaded checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/zero_pp_rank_0_mp_rank_00_optim_states.pt.
[2024-01-13 11:35:32,554] [INFO] [engine.py:2988:_get_all_zero_checkpoint_state_dicts] successfully read 1 ZeRO state_dicts for rank 0
[2024-01-13 11:35:32,588] [INFO] [engine.py:2920:_load_zero_checkpoint] loading 1 zero partition checkpoints for rank 0
[2024-01-13 11:36:34,189] [INFO] [torch_checkpoint_engine.py:27:load] [Torch] Loading checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/mp_rank_00_model_states.pt...
[2024-01-13 11:36:35,491] [INFO] [torch_checkpoint_engine.py:29:load] [Torch] Loaded checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/mp_rank_00_model_states.pt.
[2024-01-13 11:36:35,509] [INFO] [torch_checkpoint_engine.py:27:load] [Torch] Loading checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/mp_rank_00_model_states.pt...
[2024-01-13 11:36:35,554] [INFO] [torch_checkpoint_engine.py:29:load] [Torch] Loaded checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/mp_rank_00_model_states.pt.
[2024-01-13 11:36:35,636] [INFO] [torch_checkpoint_engine.py:27:load] [Torch] Loading checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/zero_pp_rank_0_mp_rank_00_optim_states.pt...
[2024-01-13 11:36:40,068] [INFO] [torch_checkpoint_engine.py:29:load] [Torch] Loaded checkpoint from /cosmos/home/sp-operator/ai/training/models/huggingface/scripts/../breeze-dsw-tiny-id/checkpoint-500/global_step500/zero_pp_rank_0_mp_rank_00_optim_states.pt.
[2024-01-13 11:36:40,068] [INFO] [engine.py:2988:_get_all_zero_checkpoint_state_dicts] successfully read 1 ZeRO state_dicts for rank 0
[2024-01-13 11:36:40,102] [INFO] [engine.py:2920:_load_zero_checkpoint] loading 1 zero partition checkpoints for rank 0
{'train_runtime': 67.5132, 'train_samples_per_second': 947.963, 'train_steps_per_second': 29.624, 'train_loss': 0.0, 'epoch': 3.03}
***** train metrics *****
epoch = 3.03
train_loss = 0.0
train_runtime = 0:01:07.51
train_samples_per_second = 947.963
train_steps_per_second = 29.624
01/13/2024 11:36:47 - INFO - __main__ - *** Evaluate ***
***** eval metrics *****
epoch = 3.03
eval_loss = 0.7109
eval_runtime = 0:18:47.23
eval_samples_per_second = 3.231
eval_steps_per_second = 0.202
eval_wer = 45.2434