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Use shared storage dir #1395

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7ccfecc
Use shared storage dir
jwilber Dec 23, 2025
fd6b599
remove ls statement
jwilber Dec 23, 2025
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8 changes: 7 additions & 1 deletion ci/lepton/model_convergence/configs/recipes/esm2_native_te_15b.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -62,9 +62,11 @@ model_tag: nvidia/esm2_t48_15B_UR50D
num_train_steps: 20_000
# dataset commands
micro_batch_size: 8
load_dataset_kwargs_path: nvidia/esm2_uniref_pretraining_data
load_dataset_kwargs_path: parquet
load_dataset_kwargs_streaming: true
load_dataset_kwargs_revision: 4ac1d2973567e46b8ca95901f4b4793a21305995 # pragma: allowlist secret
load_dataset_kwargs_data_dir: /data/esm2/cache/hub/datasets--nvidia--esm2_uniref_pretraining_data/snapshots/4ac1d2973567e46b8ca95901f4b4793a21305995 # pragma: allowlist secret

num_workers: 1

# lr commands
Expand Down Expand Up @@ -148,6 +150,10 @@ run_script: |
wandb_init_args.name=${wandb_name} \
num_train_steps=${num_train_steps} \
dataset.micro_batch_size=${micro_batch_size} \
dataset.load_dataset_kwargs.path=${load_dataset_kwargs_path} \
dataset.load_dataset_kwargs.streaming=${load_dataset_kwargs_streaming} \
+dataset.load_dataset_kwargs.revision=${load_dataset_kwargs_revision} \
+dataset.load_dataset_kwargs.data_dir=${load_dataset_kwargs_data_dir} \
use_sequence_packing=${thd_enabled} \
dataset.num_workers=${num_workers} \
lr_scheduler_kwargs.num_warmup_steps=${num_warmup_steps} \
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4 changes: 3 additions & 1 deletion ci/lepton/model_convergence/configs/recipes/esm2_native_te_3b.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -61,9 +61,10 @@ model_tag: nvidia/esm2_t36_3B_UR50D
num_train_steps: 20_000
# dataset commands
micro_batch_size: 16
load_dataset_kwargs_path: nvidia/esm2_uniref_pretraining_data
load_dataset_kwargs_path: parquet
load_dataset_kwargs_streaming: true
load_dataset_kwargs_revision: 4ac1d2973567e46b8ca95901f4b4793a21305995 # pragma: allowlist secret
load_dataset_kwargs_data_dir: /data/esm2/cache/hub/datasets--nvidia--esm2_uniref_pretraining_data/snapshots/4ac1d2973567e46b8ca95901f4b4793a21305995 # pragma: allowlist secret

# lr commands
num_warmup_steps: 2_000
Expand Down Expand Up @@ -133,6 +134,7 @@ run_script: |
dataset.load_dataset_kwargs.path=${load_dataset_kwargs_path} \
dataset.load_dataset_kwargs.streaming=${load_dataset_kwargs_streaming} \
+dataset.load_dataset_kwargs.revision=${load_dataset_kwargs_revision} \
+dataset.load_dataset_kwargs.data_dir=${load_dataset_kwargs_data_dir} \
lr_scheduler_kwargs.num_warmup_steps=${num_warmup_steps} \
checkpoint.ckpt_dir=${ckpt_dir} \
checkpoint.save_final_model=${save_final_model} \
Expand Down
5 changes: 4 additions & 1 deletion ci/lepton/model_convergence/configs/recipes/esm2_native_te_650m.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -61,9 +61,11 @@ model_tag: nvidia/esm2_t36_650M_UR50D
num_train_steps: 20_000
# dataset commands
micro_batch_size: 16
load_dataset_kwargs_path: nvidia/esm2_uniref_pretraining_data
load_dataset_kwargs_path: parquet
load_dataset_kwargs_streaming: true
load_dataset_kwargs_revision: 4ac1d2973567e46b8ca95901f4b4793a21305995 # pragma: allowlist secret
load_dataset_kwargs_data_dir: /data/esm2/cache/hub/datasets--nvidia--esm2_uniref_pretraining_data/snapshots/4ac1d2973567e46b8ca95901f4b4793a21305995 # pragma: allowlist secret

num_workers: 1

# lr commands
Expand Down Expand Up @@ -130,6 +132,7 @@ run_script: |
dataset.load_dataset_kwargs.path=${load_dataset_kwargs_path} \
dataset.load_dataset_kwargs.streaming=${load_dataset_kwargs_streaming} \
+dataset.load_dataset_kwargs.revision=${load_dataset_kwargs_revision} \
+dataset.load_dataset_kwargs.data_dir=${load_dataset_kwargs_data_dir} \
dataset.num_workers=${num_workers} \
lr_scheduler_kwargs.num_warmup_steps=${num_warmup_steps} \
checkpoint.ckpt_dir=${ckpt_dir} \
Expand Down