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variables: | ||
data_local: ./my-copy-c4 | ||
data_remote: # If blank, files must be present in data_local | ||
max_seq_len: 2048 | ||
global_seed: 17 | ||
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# Run Name | ||
run_name: # If left blank, will be read from env var $RUN_NAME | ||
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max_seq_len: ${variables.max_seq_len} | ||
run_name: ${variables.run_name} | ||
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# Model | ||
model: | ||
name: mpt_causal_lm | ||
init_device: meta | ||
d_model: 768 | ||
n_heads: 12 | ||
n_layers: 12 | ||
expansion_ratio: 4 | ||
max_seq_len: ${variables.max_seq_len} | ||
vocab_size: 50368 | ||
attn_config: | ||
attn_impl: flash | ||
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# Tokenizer | ||
tokenizer: | ||
name: EleutherAI/gpt-neox-20b | ||
kwargs: | ||
model_max_length: ${variables.max_seq_len} | ||
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# Dataloaders | ||
train_loader: | ||
name: text | ||
dataset: | ||
local: ${variables.data_local} | ||
remote: ${variables.data_remote} | ||
split: train_small | ||
shuffle: true | ||
max_seq_len: ${variables.max_seq_len} | ||
shuffle_seed: ${variables.global_seed} | ||
drop_last: true | ||
num_workers: 8 | ||
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eval_loader: | ||
name: text | ||
dataset: | ||
local: ${variables.data_local} | ||
remote: ${variables.data_remote} | ||
split: val_small | ||
shuffle: false | ||
max_seq_len: ${variables.max_seq_len} | ||
shuffle_seed: ${variables.global_seed} | ||
replication: 2 | ||
drop_last: false | ||
num_workers: 8 | ||
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# Optimization | ||
scheduler: | ||
name: cosine_with_warmup | ||
t_warmup: 100ba | ||
alpha_f: 0.1 | ||
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optimizer: | ||
name: decoupled_adamw | ||
lr: 6.0e-4 | ||
betas: | ||
- 0.9 | ||
- 0.95 | ||
eps: 1.0e-08 | ||
weight_decay: 0.0 | ||
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algorithms: | ||
gradient_clipping: | ||
clipping_type: norm | ||
clipping_threshold: 1.0 | ||
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max_duration: 100ba | ||
eval_interval: 500ba | ||
eval_first: false | ||
eval_subset_num_batches: 0 | ||
global_train_batch_size: 256 | ||
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# System | ||
seed: ${variables.global_seed} | ||
device_eval_batch_size: 16 | ||
device_train_microbatch_size: 16 | ||
# device_train_microbatch_size: auto | ||
precision: amp_bf16 | ||
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# FSDP | ||
fsdp_config: | ||
sharding_strategy: FULL_SHARD | ||
mixed_precision: PURE | ||
activation_checkpointing: false | ||
activation_checkpointing_reentrant: false | ||
activation_cpu_offload: false | ||
limit_all_gathers: true | ||
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# TP | ||
tp_config: | ||
strategy: ffn | ||
tensor_parallel_degree: 2 | ||
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# Logging | ||
progress_bar: false | ||
log_to_console: true | ||
console_log_interval: 1ba | ||
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callbacks: | ||
speed_monitor: | ||
window_size: 10 | ||
lr_monitor: {} | ||
memory_monitor: {} | ||
runtime_estimator: {} | ||
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loggers: | ||
mlflow: | ||
experiment_name: tp | ||
# model_registry_prefix: datasets.eitanturok.${run_name} | ||
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# loggers: | ||
# wandb: {} | ||
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# Checkpoint to local filesystem or remote object store | ||
# save_interval: 500ba | ||
# save_num_checkpoints_to_keep: 1 # Important, this cleans up checkpoints saved to DISK | ||
# save_folder: ./{run_name}/checkpoints | ||
# save_folder: s3://my-bucket/my-folder/{run_name}/checkpoints | ||
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# Load from local filesystem or remote object store | ||
# load_path: ./gpt-125m/checkpoints/latest-rank{rank}.pt | ||
# load_path: s3://my-bucket/my-folder/gpt-125m/checkpoints/latest-rank{rank}.pt |