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config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 16384,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.1",
+  "use_cache": true,
+  "vocab_size": 32016
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.44.1"
+}

logs.txt

@@ -0,0 +1,321 @@
+[2024-08-20 21:56:15,604] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
+CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
+FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
+CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
+FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
+CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
+FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
+CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
+FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
+CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
+FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
+CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
+FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
+CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
+FLYWHEEL_USE_CUDA_DEVICES = 0,1,2,3,4,5,6,7
+CUDA_VISIBLE_DEVICES = 0,1,2,3,4,5,6,7
+local_rank = 0, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 0
+local_rank = 6, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 6
+local_rank = 1, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 1
+local_rank = 7, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 7
+local_rank = 3, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 3
+local_rank = 5, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 5
+local_rank = 4, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 4
+local_rank = 2, device_ranks = ['0', '1', '2', '3', '4', '5', '6', '7'], set device_rank = 2
+Rank = 0
+Rank = 2
+Rank = 1
+Rank = 4
+Rank = 3
+Rank = 5
+Rank = 6
+Rank = 7
+[2024-08-20 21:56:26,507] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2024-08-20 21:56:26,508] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2024-08-20 21:56:26,508] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2024-08-20 21:56:26,508] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2024-08-20 21:56:26,509] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2024-08-20 21:56:26,510] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2024-08-20 21:56:26,511] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2024-08-20 21:56:26,511] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io: please install the libaio-dev package with apt
+ [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
+ [WARNING]  async_io: please install the libaio-dev package with apt
+ [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
+ [WARNING]  async_io: please install the libaio-dev package with apt
+ [WARNING]  async_io: please install the libaio-dev package with apt [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
+
+ [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
+ [WARNING]  async_io: please install the libaio-dev package with apt
+ [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
+ [WARNING]  async_io: please install the libaio-dev package with apt
+ [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
+ [WARNING]  async_io: please install the libaio-dev package with apt [WARNING]  async_io: please install the libaio-dev package with apt
+
+ [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
+ [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
+Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
+Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
+Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
+Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
+Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
+Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
+Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
+Installed CUDA version 12.5 does not match the version torch was compiled with 12.4 but since the APIs are compatible, accepting this combination
+ninja: no work to do.
+Time to load cpu_adam op: 0.3381340503692627 seconds
+Time to load cpu_adam op: 0.3769395351409912 seconds
+Time to load cpu_adam op: 0.3873555660247803 seconds
+Time to load cpu_adam op: 0.395129919052124 seconds
+Time to load cpu_adam op: 0.39567041397094727 seconds
+Time to load cpu_adam op: 0.3963282108306885 seconds
+Time to load cpu_adam op: 0.39649391174316406 seconds
+Time to load cpu_adam op: 0.39492321014404297 seconds
+[2024-08-20 21:56:28,273] [INFO] [comm.py:637:init_distributed] cdb=None
+[2024-08-20 21:56:28,302] [INFO] [comm.py:637:init_distributed] cdb=None
+[2024-08-20 21:56:28,312] [INFO] [comm.py:637:init_distributed] cdb=None
+[2024-08-20 21:56:28,313] [INFO] [comm.py:637:init_distributed] cdb=None
+[2024-08-20 21:56:28,313] [INFO] [comm.py:637:init_distributed] cdb=None
+[2024-08-20 21:56:28,314] [INFO] [comm.py:637:init_distributed] cdb=None
+[2024-08-20 21:56:28,314] [INFO] [comm.py:637:init_distributed] cdb=None
+[2024-08-20 21:56:28,315] [INFO] [comm.py:637:init_distributed] cdb=None
+[2024-08-20 21:56:42,890] [INFO] [partition_parameters.py:345:__exit__] finished initializing model - num_params = 291, num_elems = 6.74B
+Is prompt masked: True
+Is prompt masked: True
+Is prompt masked: True
+Is prompt masked: True
+Is prompt masked: True
+Is prompt masked: True
+Is prompt masked: True
+Is prompt masked: True
+Adam Optimizer #0 is created with AVX512 arithmetic capability.
+Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
+[2024-08-20 21:56:49,474] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed info: version=0.14.5, git-hash=unknown, git-branch=unknown
+Adam Optimizer #0 is created with AVX512 arithmetic capability.
+Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
+Adam Optimizer #0 is created with AVX512 arithmetic capability.
+Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
+Adam Optimizer #0 is created with AVX512 arithmetic capability.
+Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
+Adam Optimizer #0 is created with AVX512 arithmetic capability.
+Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
+Adam Optimizer #0 is created with AVX512 arithmetic capability.
+Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
+Adam Optimizer #0 is created with AVX512 arithmetic capability.
+Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
+Adam Optimizer #0 is created with AVX512 arithmetic capability.
+Config: alpha=0.000020, betas=(0.900000, 0.999000), weight_decay=0.010000, adam_w=1
+[2024-08-20 21:56:49,547] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False
+[2024-08-20 21:56:49,548] [INFO] [logging.py:96:log_dist] [Rank 0] Using client Optimizer as basic optimizer
+[2024-08-20 21:56:49,548] [INFO] [logging.py:96:log_dist] [Rank 0] Removing param_group that has no 'params' in the basic Optimizer
+[2024-08-20 21:56:49,556] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Basic Optimizer = DeepSpeedCPUAdam
+[2024-08-20 21:56:49,556] [INFO] [utils.py:59:is_zero_supported_optimizer] Checking ZeRO support for optimizer=DeepSpeedCPUAdam type=<class 'deepspeed.ops.adam.cpu_adam.DeepSpeedCPUAdam'>
+[2024-08-20 21:56:49,556] [INFO] [logging.py:96:log_dist] [Rank 0] Creating fp16 ZeRO stage 3 optimizer, MiCS is enabled False, Hierarchical params gather False
+[2024-08-20 21:56:49,556] [INFO] [logging.py:96:log_dist] [Rank 0] Creating torch.bfloat16 ZeRO stage 3 optimizer
+[2024-08-20 21:56:49,742] [INFO] [utils.py:781:see_memory_usage] Stage 3 initialize beginning
+[2024-08-20 21:56:49,742] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB         Max_MA 0.49 GB         CA 0.49 GB         Max_CA 0 GB 
+[2024-08-20 21:56:49,742] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 44.84 GB, percent = 2.4%
+[2024-08-20 21:56:49,744] [INFO] [stage3.py:130:__init__] Reduce bucket size 16777216
+[2024-08-20 21:56:49,744] [INFO] [stage3.py:131:__init__] Prefetch bucket size 15099494
+[2024-08-20 21:56:49,879] [INFO] [utils.py:781:see_memory_usage] DeepSpeedZeRoOffload initialize [begin]
+[2024-08-20 21:56:49,879] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.49 GB         Max_CA 0 GB 
+[2024-08-20 21:56:49,879] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 44.84 GB, percent = 2.4%
+Parameter Offload: Total persistent parameters: 266240 in 65 params
+[2024-08-20 21:56:50,008] [INFO] [utils.py:781:see_memory_usage] DeepSpeedZeRoOffload initialize [end]
+[2024-08-20 21:56:50,008] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.49 GB         Max_CA 0 GB 
+[2024-08-20 21:56:50,008] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 44.84 GB, percent = 2.4%
+[2024-08-20 21:56:50,115] [INFO] [utils.py:781:see_memory_usage] Before creating fp16 partitions
+[2024-08-20 21:56:50,116] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.49 GB         Max_CA 0 GB 
+[2024-08-20 21:56:50,116] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 44.83 GB, percent = 2.4%
+[2024-08-20 21:56:51,868] [INFO] [utils.py:781:see_memory_usage] After creating fp16 partitions: 1
+[2024-08-20 21:56:51,868] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.49 GB         Max_CA 0 GB 
+[2024-08-20 21:56:51,869] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 66.25 GB, percent = 3.5%
+[2024-08-20 21:56:52,107] [INFO] [utils.py:781:see_memory_usage] Before creating fp32 partitions
+[2024-08-20 21:56:52,108] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.49 GB         Max_CA 0 GB 
+[2024-08-20 21:56:52,108] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 71.42 GB, percent = 3.8%
+[2024-08-20 21:56:53,699] [INFO] [utils.py:781:see_memory_usage] After creating fp32 partitions
+[2024-08-20 21:56:53,699] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.49 GB         Max_CA 0 GB 
+[2024-08-20 21:56:53,700] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 86.24 GB, percent = 4.6%
+[2024-08-20 21:56:53,896] [INFO] [utils.py:781:see_memory_usage] Before initializing optimizer states
+[2024-08-20 21:56:53,897] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.49 GB         Max_CA 0 GB 
+[2024-08-20 21:56:53,897] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 92.43 GB, percent = 4.9%
+[2024-08-20 21:56:57,740] [INFO] [utils.py:781:see_memory_usage] After initializing optimizer states
+[2024-08-20 21:56:57,740] [INFO] [utils.py:782:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.49 GB         Max_CA 0 GB 
+[2024-08-20 21:56:57,741] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 118.86 GB, percent = 6.4%
+[2024-08-20 21:56:57,746] [INFO] [stage3.py:485:_setup_for_real_optimizer] optimizer state initialized
+[2024-08-20 21:57:00,138] [INFO] [utils.py:781:see_memory_usage] After initializing ZeRO optimizer
+[2024-08-20 21:57:00,139] [INFO] [utils.py:782:see_memory_usage] MA 0.03 GB         Max_MA 0.52 GB         CA 0.74 GB         Max_CA 1 GB 
+[2024-08-20 21:57:00,139] [INFO] [utils.py:789:see_memory_usage] CPU Virtual Memory:  used = 135.23 GB, percent = 7.2%
+[2024-08-20 21:57:00,139] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Final Optimizer = DeepSpeedZeroOptimizer_Stage3
+[2024-08-20 21:57:00,139] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed using configured LR scheduler = None
+[2024-08-20 21:57:00,139] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed LR Scheduler = None
+[2024-08-20 21:57:00,139] [INFO] [logging.py:96:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0], mom=[(0.9, 0.999)]
+[2024-08-20 21:57:00,140] [INFO] [config.py:997:print] DeepSpeedEngine configuration:
+[2024-08-20 21:57:00,140] [INFO] [config.py:1001:print]   activation_checkpointing_config  {
+    "partition_activations": false, 
+    "contiguous_memory_optimization": false, 
+    "cpu_checkpointing": false, 
+    "number_checkpoints": null, 
+    "synchronize_checkpoint_boundary": false, 
+    "profile": false
+}
+[2024-08-20 21:57:00,140] [INFO] [config.py:1001:print]   aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
+[2024-08-20 21:57:00,140] [INFO] [config.py:1001:print]   amp_enabled .................. False
+[2024-08-20 21:57:00,140] [INFO] [config.py:1001:print]   amp_params ................... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001: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
+}
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   bfloat16_enabled ............. True
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   bfloat16_immediate_grad_update  False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   checkpoint_parallel_write_pipeline  False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   checkpoint_tag_validation_enabled  True
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   checkpoint_tag_validation_fail  False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x7fee949eee70>
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   communication_data_type ...... None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001: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}}
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   curriculum_enabled_legacy .... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   curriculum_params_legacy ..... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001: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}}}}
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   data_efficiency_enabled ...... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   dataloader_drop_last ......... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   disable_allgather ............ False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   dump_state ................... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   dynamic_loss_scale_args ...... None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   eigenvalue_enabled ........... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   eigenvalue_gas_boundary_resolution  1
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   eigenvalue_layer_name ........ bert.encoder.layer
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   eigenvalue_layer_num ......... 0
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   eigenvalue_max_iter .......... 100
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   eigenvalue_stability ......... 1e-06
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   eigenvalue_tol ............... 0.01
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   eigenvalue_verbose ........... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   elasticity_enabled ........... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001: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
+}
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   fp16_auto_cast ............... None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   fp16_enabled ................. False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   fp16_master_weights_and_gradients  False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   global_rank .................. 0
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   grad_accum_dtype ............. None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   gradient_accumulation_steps .. 1
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   gradient_clipping ............ 1.0
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   gradient_predivide_factor .... 1.0
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   graph_harvesting ............. False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001: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
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   initial_dynamic_scale ........ 1
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   load_universal_checkpoint .... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   loss_scale ................... 1.0
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   memory_breakdown ............. False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   mics_hierarchial_params_gather  False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   mics_shard_size .............. -1
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   monitor_config ............... tensorboard=TensorBoardConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') comet=CometConfig(enabled=False, samples_log_interval=100, project=None, workspace=None, api_key=None, experiment_name=None, experiment_key=None, online=None, mode=None) wandb=WandbConfig(enabled=False, group=None, team=None, project='deepspeed') csv_monitor=CSVConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') enabled=False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001: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
+}
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   optimizer_legacy_fusion ...... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   optimizer_name ............... None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   optimizer_params ............. None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0, 'pipe_partitioned': True, 'grad_partitioned': True}
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   pld_enabled .................. False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   pld_params ................... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   prescale_gradients ........... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   scheduler_name ............... None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   scheduler_params ............. None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   seq_parallel_communication_data_type  torch.float32
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   sparse_attention ............. None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   sparse_gradients_enabled ..... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   steps_per_print .............. inf
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   timers_config ................ enabled=True synchronized=True
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   train_batch_size ............. 128
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   train_micro_batch_size_per_gpu  16
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   use_data_before_expert_parallel_  False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   use_node_local_storage ....... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   wall_clock_breakdown ......... False
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   weight_quantization_config ... None
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   world_size ................... 8
+[2024-08-20 21:57:00,141] [INFO] [config.py:1001:print]   zero_allow_untested_optimizer  True
+[2024-08-20 21:57:00,142] [INFO] [config.py:1001:print]   zero_config .................. stage=3 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=16777216 use_multi_rank_bucket_allreduce=True allgather_partitions=True allgather_bucket_size=500,000,000 overlap_comm=True load_from_fp32_weights=True elastic_checkpoint=False offload_param=DeepSpeedZeroOffloadParamConfig(device='cpu', nvme_path=None, buffer_count=5, buffer_size=100,000,000, max_in_cpu=1,000,000,000, pin_memory=True) 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=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=15099494 param_persistence_threshold=40960 model_persistence_threshold=sys.maxsize max_live_parameters=4000000000 max_reuse_distance=4000000000 gather_16bit_weights_on_model_save=True use_all_reduce_for_fetch_params=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
+[2024-08-20 21:57:00,142] [INFO] [config.py:1001:print]   zero_enabled ................. True
+[2024-08-20 21:57:00,142] [INFO] [config.py:1001:print]   zero_force_ds_cpu_optimizer .. True
+[2024-08-20 21:57:00,142] [INFO] [config.py:1001:print]   zero_optimization_stage ...... 3
+[2024-08-20 21:57:00,142] [INFO] [config.py:987:print_user_config]   json = {
+    "bf16": {
+        "enabled": true
+    }, 
+    "zero_optimization": {
+        "stage": 3, 
+        "offload_optimizer": {
+            "device": "cpu", 
+            "pin_memory": true
+        }, 
+        "offload_param": {
+            "device": "cpu", 
+            "pin_memory": true
+        }, 
+        "overlap_comm": true, 
+        "contiguous_gradients": true, 
+        "sub_group_size": 1.000000e+09, 
+        "reduce_bucket_size": 1.677722e+07, 
+        "stage3_prefetch_bucket_size": 1.509949e+07, 
+        "stage3_param_persistence_threshold": 4.096000e+04, 
+        "stage3_max_live_parameters": 4.000000e+09, 
+        "stage3_max_reuse_distance": 4.000000e+09, 
+        "stage3_gather_16bit_weights_on_model_save": true
+    }, 
+    "gradient_accumulation_steps": 1, 
+    "gradient_clipping": 1.0, 
+    "steps_per_print": inf, 
+    "train_batch_size": 128, 
+    "train_micro_batch_size_per_gpu": 16, 
+    "wall_clock_breakdown": false, 
+    "fp16": {
+        "enabled": false
+    }, 
+    "zero_allow_untested_optimizer": true
+}
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io: please install the libaio-dev package with apt
+ [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.

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special_tokens_map.json

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+    "▁<EOT>"
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tokenizer.model

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tokenizer_config.json

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+      "content": "▁<EOT>",
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+    "▁<EOT>"
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+  "eot_token": "▁<EOT>",
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