Changes from dataset_processes to dataset_num_proc (#3352) [skip ci]
* changes from dataset_processes to dataset_num_proc * deprecation message improved --------- Co-authored-by: Juliana Nieto Cárdenas <jnietoca@purdue.edu>
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@@ -123,7 +123,7 @@ datasets:
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| --------------------------------- | -------------------------- | ----------------------------------- |
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| `dataset_prepared_path` | `"data/last_run_prepared"` | Path for prepared dataset |
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| `push_dataset_to_hub` | `""` | Push dataset to HF hub |
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| `dataset_processes` | `4` | Number of preprocessing processes |
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| `dataset_num_proc` | `4` | Number of preprocessing processes |
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| `dataset_keep_in_memory` | `false` | Keep dataset in memory |
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| `shuffle_merged_datasets` | `true` | Shuffle merged datasets |
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| `shuffle_before_merging_datasets` | `false` | Shuffle each dataset before merging |
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@@ -39,7 +39,6 @@
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# type: # linear | dynamic
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# factor: # float
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# # Whether you are training a 4-bit GPTQ quantized model
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# gptq: true
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# gptq_groupsize: 128 # group size
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@@ -107,7 +106,7 @@
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# push_dataset_to_hub: # repo path
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# # The maximum number of processes to use while preprocessing your input dataset. This defaults to `os.cpu_count()`
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# # if not set.
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# dataset_processes: # defaults to os.cpu_count() if not set
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# dataset_num_proc: # defaults to os.cpu_count() if not set
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# # push checkpoints to hub
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# hub_model_id: # repo path to push finetuned model
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# # how to push checkpoints to hub
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@@ -349,8 +348,6 @@
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# # Allow overwrite yml config using from cli
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# strict:
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base_model: ${BASE_MODEL}
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base_model_ignore_patterns: ${BASE_MODEL_IGNORE_PATTERNS}
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base_model_config: ${BASE_MODEL_CONFIG}
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@@ -409,7 +406,7 @@ chat_template_jinja: ${CHAT_TEMPLATE_JINJA}
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default_system_message: ${DEFAULT_SYSTEM_MESSAGE}
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dataset_prepared_path: ${DATASET_PREPARED_PATH}
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push_dataset_to_hub: ${PUSH_DATASET_TO_HUB}
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dataset_processes: ${DATASET_PROCESSES}
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dataset_num_proc: ${DATASET_NUM_PROC}
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dataset_keep_in_memory: ${DATASET_KEEP_IN_MEMORY}
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hub_model_id: ${HUB_MODEL_ID}
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hub_strategy: ${HUB_STRATEGY}
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