Model save
Browse files
pytorch_model.bin
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size 3086784957
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run.log
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@@ -40072,3 +40072,224 @@ Time to load utils op: 0.00040650367736816406 seconds
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[2022-12-21 03:47:16,833] [INFO] [engine.py:3269:_save_zero_checkpoint] zero checkpoint saved ./checkpoint-5000/global_step5060/zero_pp_rank_0_mp_rank_00_optim_states.pt
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[2022-12-21 03:47:16,833] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5060 is ready now!
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[INFO|feature_extraction_utils.py:368] 2022-12-21 03:47:22,152 >> Feature extractor saved in ./preprocessor_config.json
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[2022-12-21 03:47:16,833] [INFO] [engine.py:3269:_save_zero_checkpoint] zero checkpoint saved ./checkpoint-5000/global_step5060/zero_pp_rank_0_mp_rank_00_optim_states.pt
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[2022-12-21 03:47:16,833] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5060 is ready now!
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[INFO|feature_extraction_utils.py:368] 2022-12-21 03:47:22,152 >> Feature extractor saved in ./preprocessor_config.json
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[INFO|trainer.py:1892] 2022-12-21 03:49:32,139 >>
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Training completed. Do not forget to share your model on huggingface.co/models =)
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[INFO|trainer.py:2016] 2022-12-21 03:49:32,139 >> Loading best model from ./checkpoint-2000 (score: 8.37737794884072).
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[2022-12-21 03:49:32,144] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.7, git-hash=unknown, git-branch=unknown
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[2022-12-21 03:49:32,204] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False
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[2022-12-21 03:49:33,733] [WARNING] [cpu_adam.py:83:__init__] FP16 params for CPUAdam may not work on AMD CPUs
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Installed CUDA version 11.6 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination
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Using /home/milan/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
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No modifications detected for re-loaded extension module cpu_adam, skipping build step...
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Loading extension module cpu_adam...
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Time to load cpu_adam op: 3.4642910957336426 seconds
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Adam Optimizer #1 is created with AVX2 arithmetic capability.
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Config: alpha=0.000010, betas=(0.900000, 0.999000), weight_decay=0.000000, adam_w=1
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[2022-12-21 03:49:37,991] [INFO] [logging.py:68:log_dist] [Rank 0] Using DeepSpeed Optimizer param name adamw as basic optimizer
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[2022-12-21 03:49:38,296] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = DeepSpeedCPUAdam
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[2022-12-21 03:49:38,296] [INFO] [utils.py:52:is_zero_supported_optimizer] Checking ZeRO support for optimizer=DeepSpeedCPUAdam type=<class 'deepspeed.ops.adam.cpu_adam.DeepSpeedCPUAdam'>
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[2022-12-21 03:49:38,297] [INFO] [logging.py:68:log_dist] [Rank 0] Creating fp16 ZeRO stage 2 optimizer
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[2022-12-21 03:49:38,297] [INFO] [stage_1_and_2.py:140:__init__] Reduce bucket size 200000000
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[2022-12-21 03:49:38,297] [INFO] [stage_1_and_2.py:141:__init__] Allgather bucket size 200000000
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[2022-12-21 03:49:38,297] [INFO] [stage_1_and_2.py:142:__init__] CPU Offload: True
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[2022-12-21 03:49:38,297] [INFO] [stage_1_and_2.py:143:__init__] Round robin gradient partitioning: False
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Using /home/milan/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
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No modifications detected for re-loaded extension module utils, skipping build step...
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Loading extension module utils...
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Time to load utils op: 0.00044226646423339844 seconds
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Rank: 0 partition count [1] and sizes[(1543304960, False)]
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[2022-12-21 03:49:42,600] [INFO] [utils.py:827:see_memory_usage] Before initializing optimizer states
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[2022-12-21 03:49:42,600] [INFO] [utils.py:828:see_memory_usage] MA 6.0 GB Max_MA 19.53 GB CA 29.61 GB Max_CA 30 GB
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[2022-12-21 03:49:42,600] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 48.17 GB, percent = 24.5%
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[2022-12-21 03:49:49,256] [INFO] [utils.py:827:see_memory_usage] After initializing optimizer states
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[2022-12-21 03:49:49,257] [INFO] [utils.py:828:see_memory_usage] MA 6.0 GB Max_MA 6.0 GB CA 29.61 GB Max_CA 30 GB
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[2022-12-21 03:49:49,257] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 68.2 GB, percent = 34.7%
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[2022-12-21 03:49:49,257] [INFO] [stage_1_and_2.py:525:__init__] optimizer state initialized
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[2022-12-21 03:49:49,336] [INFO] [utils.py:827:see_memory_usage] After initializing ZeRO optimizer
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[2022-12-21 03:49:49,336] [INFO] [utils.py:828:see_memory_usage] MA 6.0 GB Max_MA 6.0 GB CA 29.61 GB Max_CA 30 GB
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[2022-12-21 03:49:49,336] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 68.2 GB, percent = 34.7%
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[2022-12-21 03:49:49,366] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = adamw
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[2022-12-21 03:49:49,366] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using configured LR scheduler = WarmupDecayLR
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[2022-12-21 03:49:49,366] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = <deepspeed.runtime.lr_schedules.WarmupDecayLR object at 0x7ff9683c0550>
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[2022-12-21 03:49:49,366] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[1e-05], mom=[[0.9, 0.999]]
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[2022-12-21 03:49:49,368] [INFO] [config.py:1020:print] DeepSpeedEngine configuration:
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[2022-12-21 03:49:49,368] [INFO] [config.py:1024:print] activation_checkpointing_config {
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"partition_activations": false,
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"profile": false
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}
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[2022-12-21 03:49:49,368] [INFO] [config.py:1024:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
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[2022-12-21 03:49:49,368] [INFO] [config.py:1024:print] amp_enabled .................. False
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[2022-12-21 03:49:49,368] [INFO] [config.py:1024:print] amp_params ................... False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] autotuning_config ............ {
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"results_dir": "autotuning_results",
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"exps_dir": "autotuning_exps",
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"overwrite": true,
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"fast": true,
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"min_train_batch_size": 1,
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"max_train_micro_batch_size_per_gpu": 1.024000e+03,
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"num_tuning_micro_batch_sizes": 3
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}
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] bfloat16_enabled ............. False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] checkpoint_parallel_write_pipeline False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] checkpoint_tag_validation_enabled True
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] checkpoint_tag_validation_fail False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x7ff967e80df0>
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] communication_data_type ...... None
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024: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}}
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] curriculum_enabled ........... False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] curriculum_params ............ False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] dataloader_drop_last ......... False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] disable_allgather ............ False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] dump_state ................... False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] dynamic_loss_scale_args ...... {'init_scale': 65536, 'scale_window': 1000, 'delayed_shift': 2, 'min_scale': 1}
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] eigenvalue_enabled ........... False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] eigenvalue_gas_boundary_resolution 1
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] eigenvalue_layer_name ........ bert.encoder.layer
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] eigenvalue_layer_num ......... 0
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] eigenvalue_max_iter .......... 100
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] eigenvalue_stability ......... 1e-06
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] eigenvalue_tol ............... 0.01
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] eigenvalue_verbose ........... False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] elasticity_enabled ........... False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] flops_profiler_config ........ {
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"enabled": false,
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"profile_step": 1,
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"module_depth": -1,
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}
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] fp16_auto_cast ............... False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] fp16_enabled ................. True
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] fp16_master_weights_and_gradients False
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] global_rank .................. 0
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] grad_accum_dtype ............. None
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] gradient_accumulation_steps .. 2
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] gradient_clipping ............ 1.0
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[2022-12-21 03:49:49,369] [INFO] [config.py:1024:print] gradient_predivide_factor .... 1.0
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] initial_dynamic_scale ........ 65536
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] load_universal_checkpoint .... False
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] loss_scale ................... 0
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] memory_breakdown ............. False
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] monitor_config ............... <deepspeed.monitor.config.DeepSpeedMonitorConfig object at 0x7ff967e80f40>
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] nebula_config ................ {
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"enabled": false,
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"persistent_storage_path": null,
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"persistent_time_interval": 100,
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"num_of_version_in_retention": 2,
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"enable_nebula_load": true,
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}
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] optimizer_legacy_fusion ...... False
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] optimizer_name ............... adamw
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] optimizer_params ............. {'lr': 1e-05, 'betas': [0.9, 0.999], 'eps': 1e-08, 'weight_decay': 0.0}
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0}
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] pld_enabled .................. False
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] pld_params ................... False
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] prescale_gradients ........... False
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] scheduler_name ............... WarmupDecayLR
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] scheduler_params ............. {'last_batch_iteration': -1, 'total_num_steps': 5000, 'warmup_min_lr': 0, 'warmup_max_lr': 1e-05, 'warmup_num_steps': 500}
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] sparse_attention ............. None
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] sparse_gradients_enabled ..... False
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40217 |
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[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] steps_per_print .............. 10
|
40218 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] train_batch_size ............. 64
|
40219 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] train_micro_batch_size_per_gpu 32
|
40220 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] use_node_local_storage ....... False
|
40221 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] wall_clock_breakdown ......... False
|
40222 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] world_size ................... 1
|
40223 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] zero_allow_untested_optimizer False
|
40224 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] zero_config .................. stage=2 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=200000000 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) 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
|
40225 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] zero_enabled ................. True
|
40226 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1024:print] zero_optimization_stage ...... 2
|
40227 |
+
[2022-12-21 03:49:49,370] [INFO] [config.py:1009:print_user_config] json = {
|
40228 |
+
"fp16": {
|
40229 |
+
"enabled": true,
|
40230 |
+
"loss_scale": 0,
|
40231 |
+
"loss_scale_window": 1000,
|
40232 |
+
"initial_scale_power": 16,
|
40233 |
+
"hysteresis": 2,
|
40234 |
+
"min_loss_scale": 1
|
40235 |
+
},
|
40236 |
+
"optimizer": {
|
40237 |
+
"type": "AdamW",
|
40238 |
+
"params": {
|
40239 |
+
"lr": 1e-05,
|
40240 |
+
"betas": [0.9, 0.999],
|
40241 |
+
"eps": 1e-08,
|
40242 |
+
"weight_decay": 0.0
|
40243 |
+
}
|
40244 |
+
},
|
40245 |
+
"scheduler": {
|
40246 |
+
"type": "WarmupDecayLR",
|
40247 |
+
"params": {
|
40248 |
+
"last_batch_iteration": -1,
|
40249 |
+
"total_num_steps": 5.000000e+03,
|
40250 |
+
"warmup_min_lr": 0,
|
40251 |
+
"warmup_max_lr": 1e-05,
|
40252 |
+
"warmup_num_steps": 500
|
40253 |
+
}
|
40254 |
+
},
|
40255 |
+
"zero_optimization": {
|
40256 |
+
"stage": 2,
|
40257 |
+
"offload_optimizer": {
|
40258 |
+
"device": "cpu",
|
40259 |
+
"pin_memory": true
|
40260 |
+
},
|
40261 |
+
"allgather_partitions": true,
|
40262 |
+
"allgather_bucket_size": 2.000000e+08,
|
40263 |
+
"overlap_comm": true,
|
40264 |
+
"reduce_scatter": true,
|
40265 |
+
"reduce_bucket_size": 2.000000e+08,
|
40266 |
+
"contiguous_gradients": true
|
40267 |
+
},
|
40268 |
+
"gradient_accumulation_steps": 2,
|
40269 |
+
"gradient_clipping": 1.0,
|
40270 |
+
"train_batch_size": 64,
|
40271 |
+
"train_micro_batch_size_per_gpu": 32
|
40272 |
+
}
|
40273 |
+
Using /home/milan/.cache/torch_extensions/py38_cu117 as PyTorch extensions root...
|
40274 |
+
No modifications detected for re-loaded extension module utils, skipping build step...
|
40275 |
+
Loading extension module utils...
|
40276 |
+
Time to load utils op: 0.0002999305725097656 seconds
|
40277 |
+
[INFO|deepspeed.py:357] 2022-12-21 03:49:49,371 >> Attempting to resume from ./checkpoint-2000
|
40278 |
+
[2022-12-21 03:49:49,372] [INFO] [torch_checkpoint_engine.py:21:load] [Torch] Loading checkpoint from ./checkpoint-2000/global_step2024/mp_rank_00_model_states.pt...
|
40279 |
+
[2022-12-21 03:49:51,318] [INFO] [torch_checkpoint_engine.py:23:load] [Torch] Loaded checkpoint from ./checkpoint-2000/global_step2024/mp_rank_00_model_states.pt.
|
40280 |
+
[2022-12-21 03:49:51,465] [INFO] [torch_checkpoint_engine.py:21:load] [Torch] Loading checkpoint from ./checkpoint-2000/global_step2024/mp_rank_00_model_states.pt...
|
40281 |
+
[2022-12-21 03:49:52,499] [INFO] [torch_checkpoint_engine.py:23:load] [Torch] Loaded checkpoint from ./checkpoint-2000/global_step2024/mp_rank_00_model_states.pt.
|
40282 |
+
[2022-12-21 03:49:52,892] [INFO] [torch_checkpoint_engine.py:21:load] [Torch] Loading checkpoint from ./checkpoint-2000/global_step2024/zero_pp_rank_0_mp_rank_00_optim_states.pt...
|
40283 |
+
[2022-12-21 03:50:04,455] [INFO] [torch_checkpoint_engine.py:23:load] [Torch] Loaded checkpoint from ./checkpoint-2000/global_step2024/zero_pp_rank_0_mp_rank_00_optim_states.pt.
|
40284 |
+
[2022-12-21 03:50:04,455] [INFO] [engine.py:2900:_get_all_zero_checkpoint_state_dicts] successfully read 1 ZeRO state_dicts for rank 0
|
40285 |
+
[2022-12-21 03:50:07,602] [INFO] [engine.py:2840:_load_zero_checkpoint] loading 1 zero partition checkpoints for rank 0
|
40286 |
+
|
40287 |
|
40288 |
+
|
40289 |
+
[INFO|trainer.py:2700] 2022-12-21 03:50:08,457 >> Saving model checkpoint to ./
|
40290 |
+
[INFO|configuration_utils.py:447] 2022-12-21 03:50:08,458 >> Configuration saved in ./config.json
|
40291 |
+
[INFO|modeling_utils.py:1680] 2022-12-21 03:50:12,947 >> Model weights saved in ./pytorch_model.bin
|
40292 |
+
[INFO|feature_extraction_utils.py:368] 2022-12-21 03:50:12,962 >> Feature extractor saved in ./preprocessor_config.json
|
40293 |
+
[INFO|trainer.py:2700] 2022-12-21 03:50:12,963 >> Saving model checkpoint to ./
|
40294 |
+
[INFO|configuration_utils.py:447] 2022-12-21 03:50:12,963 >> Configuration saved in ./config.json
|
40295 |
+
[INFO|modeling_utils.py:1680] 2022-12-21 03:50:17,513 >> Model weights saved in ./pytorch_model.bin
|
40296 |
+
[INFO|feature_extraction_utils.py:368] 2022-12-21 03:50:17,528 >> Feature extractor saved in ./preprocessor_config.json
|
runs/Dec20_10-12-02_129-146-123-136/events.out.tfevents.1671531744.129-146-123-136.3808886.0
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