Quentin-anthony's workspace
Runs
1
Name
1 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
activation
adlr_autoresume
adlr_autoresume_interval
allow_chopped
apply_query_key_layer_scaling
attention_config
attention_dropout
attention_softmax_in_fp32
batch_size
bias_dropout_fusion
bias_gelu_fusion
char_level_ppl
checkpoint_activations
checkpoint_factor
checkpoint_in_cpu
checkpoint_num_layers
checkpoint_scale
checkpoint_validation_with_forward_pass
clip_grad
config_files.125M.yml
config_files.local_setup_wandb.yml
contiguous_checkpointing
coord_check
create_moe_param_group
curriculum_seqlen
data_impl
data_path
dataset_impl
deepscale
deepspeed
deepspeed_activation_checkpointing
deepspeed_mpi
deepspeed_slurm
detect_nvlink_pairs
distributed_backend
dpo_beta
dpo_fp32
dpo_reference_free
dump_state
dynamic_loss_scale
enable_expert_tensor_parallelism
eod_mask_loss
eval_interval
eval_iters
Crashed
-
quentin-anthony
2m
-
gelu
false
1000
true
false
["global","global","global","global","global","global","global","global","global","global","global","global"]
0
false
4
false
false
false
true
10000
false
1
linear
false
1
# 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": 12,
"hidden_size": 768,
"num_attention_heads": 12,
"seq_length": 2048,
"max_position_embeddings": 2048,
"norm": "layernorm",
"pos_emb": "rotary",
"no_weight_tying": true,
"gpt_j_residual": false,
"output_layer_parallelism": "column",
# 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": 0.0006,
"betas": [0.9, 0.95],
"eps": 1.0e-8,
}
},
"min_lr": 0.00006,
# 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": 4,
"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": 0.0,
"attention_dropout": 0.0,
# precision settings
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},
# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
"checkpoint_factor": 10000,
"eval_interval": 1000,
"eval_iters": 10,
#"train_epochs": 3,
# logging
"log_interval": 1,
"steps_per_print": 1,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
# networking
"hostfile": "/mock_path"
}
# Suggested data paths when using GPT-NeoX locally
{
"data_path": "data/enwik8/enwik8_text_document",
# or for weighted datasets:
# "train-data-paths": ["data/enwik8/enwik8_text_document", "data/enwik8/enwik8_text_document"],
# "test-data-paths": ["data/enwik8/enwik8_text_document", "data/enwik8/enwik8_text_document"],
# "valid-data-paths": ["data/enwik8/enwik8_text_document", "data/enwik8/enwik8_text_document"],
# "train-data-weights": [1., 2.],
# "test-data-weights": [2., 1.],
# "valid-data-weights": [0.5, 0.4],
# If weight_by_num_documents is True, Builds dataset weights from a multinomial distribution over groups of data according to the number of documents in each group.
# WARNING: setting this to True will override any user provided weights
# "weight_by_num_documents": false,
# "weighted_sampler_alpha": 0.3,
"vocab_file": "data/gpt2-vocab.json",
"merge_file": "data/gpt2-merges.txt",
"save": "checkpoints",
"load": "checkpoints",
"checkpoint_validation_with_forward_pass": False,
"tensorboard_dir": "tensorboard",
"log_dir": "logs",
"use_wandb": True,
"wandb_host": "https://api.wandb.ai",
"wandb_project": "pr_test",
"wandb_run_name": "experiment_test",
"peak_theoretical_tflops": 100,
}
false
false
true
0
mmap
data/enwik8/enwik8_text_document
gpt2
false
true
true
false
false
false
nccl
0.1
true
false
false
true
false
false
1000
10
1-1
of 1