Fix future deprecation push_to_hub_model_id
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@@ -341,7 +341,7 @@ dataset_prepared_path: data/last_run_prepared
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# push prepared dataset to hub
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# push prepared dataset to hub
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push_dataset_to_hub: # repo path
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push_dataset_to_hub: # repo path
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# push checkpoints to hub
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# push checkpoints to hub
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push_to_hub_model_id: # repo path
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hub_model_id: # repo path
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# whether to use hf `use_auth_token` for loading datasets. Useful for fetching private datasets
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# whether to use hf `use_auth_token` for loading datasets. Useful for fetching private datasets
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# required to be true when used in combination with `push_dataset_to_hub`
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# required to be true when used in combination with `push_dataset_to_hub`
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hf_use_auth_token: # boolean
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hf_use_auth_token: # boolean
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@@ -124,8 +124,8 @@ def setup_trainer(cfg, train_dataset, eval_dataset, model, tokenizer):
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if cfg.max_grad_norm:
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if cfg.max_grad_norm:
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training_arguments_kwargs["max_grad_norm"] = cfg.max_grad_norm
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training_arguments_kwargs["max_grad_norm"] = cfg.max_grad_norm
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if cfg.push_to_hub_model_id:
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if cfg.hub_model_id:
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training_arguments_kwargs["push_to_hub_model_id"] = cfg.push_to_hub_model_id
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training_arguments_kwargs["hub_model_id"] = cfg.hub_model_id
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training_arguments_kwargs["push_to_hub"] = True
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training_arguments_kwargs["push_to_hub"] = True
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training_args = transformers.TrainingArguments(
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training_args = transformers.TrainingArguments(
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@@ -92,6 +92,11 @@ def validate_config(cfg):
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):
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):
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logging.warning("adamw hyperparameters found, but no adamw optimizer set")
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logging.warning("adamw hyperparameters found, but no adamw optimizer set")
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if cfg.push_to_hub_model_id:
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raise ValueError(
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"push_to_hub_model_id is deprecated. Please use hub_model_id instead."
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)
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# TODO
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# TODO
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# MPT 7b
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# MPT 7b
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# https://github.com/facebookresearch/bitsandbytes/issues/25
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# https://github.com/facebookresearch/bitsandbytes/issues/25
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