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extra configs and debugging
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jahatef committed Jan 15, 2025
1 parent 945ae22 commit a001467
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19 changes: 12 additions & 7 deletions configs/1-3B.yml → configs/1-3B-8k.yml
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Expand Up @@ -9,13 +9,18 @@
"num_layers": 24,
"hidden_size": 2048,
"num_attention_heads": 16,
"seq_length": 2048,
"max_position_embeddings": 2048,
"seq_length": 8192,
"max_position_embeddings": 8192,
"norm": "layernorm",
"pos_emb": "rotary",
"no_weight_tying": true,
"gpt_j_residual": false,
"output_layer_parallelism": "column",
"profile": true,
"profile_step_start": 1,
"profile_step_stop": 5,

"attention_config": [[["flash"], 24]],

# these should provide some speedup but takes a while to build, set to true if desired
"scaled_upper_triang_masked_softmax_fusion": false,
Expand Down Expand Up @@ -50,7 +55,7 @@
},

# batch / data settings
"train_micro_batch_size_per_gpu": 4,
"train_micro_batch_size_per_gpu": 1,
"data_impl": "mmap",

# activation checkpointing
Expand All @@ -76,8 +81,8 @@
},

# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"train_iters": 10,
"lr_decay_iters": 10,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
Expand All @@ -86,8 +91,8 @@
"eval_iters": 10,

# logging
"log_interval": 100,
"steps_per_print": 10,
"log_interval": 1,
"steps_per_print": 1,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
}
97 changes: 97 additions & 0 deletions configs/1-3B-weak-scaling.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,97 @@
# GPT-2 pretraining setup
{
# parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages
# across the node boundaries )
"pipe_parallel_size": 1,
"model_parallel_size": 1,

# model settings
"num_layers": 24,
"hidden_size": 2048,
"num_attention_heads": 16,
"seq_length": 4096,
"max_position_embeddings": 4096,
"norm": "layernorm",
"pos_emb": "rotary",
"no_weight_tying": true,
"gpt_j_residual": false,
"output_layer_parallelism": "column",
#"profile": true,
#"profile_step_start": 1,
#"profile_step_stop": 5,

"attention_config": [[["flash"], 24]],
# these should provide some speedup but takes a while to build, set to true if desired
"scaled_upper_triang_masked_softmax_fusion": false,
"bias_gelu_fusion": false,
"rope_fusion": false,
"layernorm_fusion": false,

# init methods
"init_method": "small_init",
"output_layer_init_method": "wang_init",

# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.0002,
"betas": [0.9, 0.95],
"eps": 1.0e-8,
}
},
"min_lr": 0.00002,

# for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training
"zero_optimization": {
"stage": 1,
"allgather_partitions": True,
"allgather_bucket_size": 500000000,
"overlap_comm": True,
"reduce_scatter": True,
"reduce_bucket_size": 500000000,
"contiguous_gradients": True,
},

# batch / data settings
"train_micro_batch_size_per_gpu": 1,
"data_impl": "mmap",

# activation checkpointing
"checkpoint_activations": true,
"checkpoint_num_layers": 1,
"partition_activations": true,
"synchronize_each_layer": true,

# regularization
"gradient_clipping": 1.0,
"weight_decay": 0.1,
"hidden_dropout": 0,
"attention_dropout": 0,

# precision settings
"fp16": {
"fp16": true,
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},

# misc. training settings
"train_iters": 100,
"lr_decay_iters": 100,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
"checkpoint_factor": 10000,
"eval_interval": 1000,
"eval_iters": 10,

# logging
"log_interval": 5,
"steps_per_print": 5,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
}
97 changes: 97 additions & 0 deletions configs/10B-pp-scaling.yml
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@@ -0,0 +1,97 @@
# GPT-2 pretraining setup
{
# parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages
# across the node boundaries )
"pipe_parallel_size": 8,
"model_parallel_size": 1,

# model settings
"num_layers": 192,
"hidden_size": 2048,
"num_attention_heads": 16,
"seq_length": 4096,
"max_position_embeddings": 4096,
"norm": "layernorm",
"pos_emb": "rotary",
"no_weight_tying": true,
"gpt_j_residual": false,
"output_layer_parallelism": "column",
#"profile": true,
#"profile_step_start": 1,
#"profile_step_stop": 5,

"attention_config": [[["flash"], 192]],
# these should provide some speedup but takes a while to build, set to true if desired
"scaled_upper_triang_masked_softmax_fusion": false,
"bias_gelu_fusion": false,
"rope_fusion": false,
"layernorm_fusion": false,

# init methods
"init_method": "small_init",
"output_layer_init_method": "wang_init",

# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.0002,
"betas": [0.9, 0.95],
"eps": 1.0e-8,
}
},
"min_lr": 0.00002,

# for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training
"zero_optimization": {
"stage": 1,
"allgather_partitions": True,
"allgather_bucket_size": 500000000,
"overlap_comm": True,
"reduce_scatter": True,
"reduce_bucket_size": 500000000,
"contiguous_gradients": True,
},

# batch / data settings
"train_micro_batch_size_per_gpu": 1,
"data_impl": "mmap",

# activation checkpointing
"checkpoint_activations": true,
"checkpoint_num_layers": 1,
"partition_activations": true,
"synchronize_each_layer": true,

# regularization
"gradient_clipping": 1.0,
"weight_decay": 0.1,
"hidden_dropout": 0,
"attention_dropout": 0,

# precision settings
"fp16": {
"fp16": true,
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},

# misc. training settings
"train_iters": 100,
"lr_decay_iters": 100,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
"checkpoint_factor": 10000,
"eval_interval": 1000,
"eval_iters": 10,

# logging
"log_interval": 5,
"steps_per_print": 5,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
}
18 changes: 10 additions & 8 deletions configs/13B.yml → configs/13B-weak-scaling.yml
Original file line number Diff line number Diff line change
Expand Up @@ -3,19 +3,20 @@
# parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages
# across the node boundaries )
"pipe_parallel_size": 1,
"model_parallel_size": 1,
"model_parallel_size": 8,

# model settings
"num_layers": 40,
"hidden_size": 5120,
"num_attention_heads": 40,
"seq_length": 2048,
"max_position_embeddings": 2048,
"seq_length": 4096,
"max_position_embeddings": 4096,
"norm": "layernorm",
"pos_emb": "rotary",
"no_weight_tying": true,
"gpt_j_residual": false,
"output_layer_parallelism": "column",
"attention_config": [[["flash"], 40]],

# these should provide some speedup but takes a while to build, set to true if desired
"scaled_upper_triang_masked_softmax_fusion": false,
Expand Down Expand Up @@ -51,7 +52,7 @@
"min_lr": 0.00001,

# batch / data settings
"train_micro_batch_size_per_gpu": 4,
"train_micro_batch_size_per_gpu": 1,
"data_impl": "mmap",

# activation checkpointing
Expand All @@ -77,8 +78,8 @@
},

# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"train_iters": 100,
"lr_decay_iters": 100,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
Expand All @@ -87,8 +88,9 @@
"eval_iters": 10,

# logging
"log_interval": 100,
"steps_per_print": 10,
"log_interval": 5,
"steps_per_print": 5,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
"tensorboard_dir": "tensorboard-gpt",
}
13 changes: 7 additions & 6 deletions configs/2-7B.yml → configs/2-7B-weak-scaling.yml
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
# parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages
# across the node boundaries )
"pipe_parallel_size": 1,
"model_parallel_size": 1,
"model_parallel_size": 2,

# model settings
"num_layers": 32,
Expand All @@ -16,6 +16,7 @@
"no_weight_tying": true,
"gpt_j_residual": false,
"output_layer_parallelism": "column",
"attention_config": [[["flash"], 32]],

# these should provide some speedup but takes a while to build, set to true if desired
"scaled_upper_triang_masked_softmax_fusion": false,
Expand Down Expand Up @@ -50,7 +51,7 @@
},

# batch / data settings
"train_micro_batch_size_per_gpu": 4,
"train_micro_batch_size_per_gpu": 1,
"data_impl": "mmap",

# activation checkpointing
Expand All @@ -76,8 +77,8 @@
},

# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"train_iters": 100,
"lr_decay_iters": 100,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
Expand All @@ -86,8 +87,8 @@
"eval_iters": 10,

# logging
"log_interval": 100,
"steps_per_print": 10,
"log_interval": 5,
"steps_per_print": 5,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
}
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