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Changes from dataset_processes to dataset_num_proc (#3352) [skip ci]

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* changes from dataset_processes to dataset_num_proc

* deprecation message improved

---------

Co-authored-by: Juliana Nieto Cárdenas <jnietoca@purdue.edu>
This commit is contained in:
tgoab
2026-02-10 05:44:17 -05:00
committed by GitHub
parent 0343a72cc9
commit 530a0c0bf0
5 changed files with 11 additions and 8 deletions
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7
.runpod/src/config/config.yaml
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@@ -39,7 +39,6 @@
# type: # linear | dynamic
# factor: # float
# # Whether you are training a 4-bit GPTQ quantized model
# gptq: true
# gptq_groupsize: 128 # group size
@@ -107,7 +106,7 @@
# push_dataset_to_hub: # repo path
# # The maximum number of processes to use while preprocessing your input dataset. This defaults to `os.cpu_count()`
# # if not set.
# dataset_processes: # defaults to os.cpu_count() if not set
# dataset_num_proc: # defaults to os.cpu_count() if not set
# # push checkpoints to hub
# hub_model_id: # repo path to push finetuned model
# # how to push checkpoints to hub
@@ -349,8 +348,6 @@
# # Allow overwrite yml config using from cli
# strict:
base_model: ${BASE_MODEL}
base_model_ignore_patterns: ${BASE_MODEL_IGNORE_PATTERNS}
base_model_config: ${BASE_MODEL_CONFIG}
@@ -409,7 +406,7 @@ chat_template_jinja: ${CHAT_TEMPLATE_JINJA}
default_system_message: ${DEFAULT_SYSTEM_MESSAGE}
dataset_prepared_path: ${DATASET_PREPARED_PATH}
push_dataset_to_hub: ${PUSH_DATASET_TO_HUB}
dataset_processes: ${DATASET_PROCESSES}
dataset_num_proc: ${DATASET_NUM_PROC}
dataset_keep_in_memory: ${DATASET_KEEP_IN_MEMORY}
hub_model_id: ${HUB_MODEL_ID}
hub_strategy: ${HUB_STRATEGY}