Update README.md
Browse fileshis is an exercise for the Uplimit class: Finetuning LLMs
Take 1: Basic model minimal configurations
The basic notebook configuration,to ensure I could run the training and submit it.
Older LLLM EleutherAI/gpt-neo-1.3B
With:
max_steps=100
warmup_steps=10
orpo_config = ORPOConfig(
learning_rate=1e-5,
per_device_train_batch_size=4,
gradient_accumulation_steps=4,
max_steps=100,
warmup_steps=10,
gradient_checkpointing=True,
fp16=True,
logging_steps=10,
output_dir="./orpo_output",
optim="adamw_torch",
remove_unused_columns=False,
max_length=max_length,
max_prompt_length=512,
report_to="none",
)
Performance notes:
README.md
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library_name: transformers
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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library_name: transformers
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datasets:
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- mlabonne/orpo-dpo-mix-40k
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language:
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- en
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base_model:
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- EleutherAI/gpt-neo-1.3B
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This is an exercise for the Uplimit class: Finetuning LLMs
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Take 1: Basic model minimal configurations
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The basic notebook configuration,to ensure I could run the training and submit it.
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Older LLLM EleutherAI/gpt-neo-1.3B
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With:
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max_steps=100
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warmup_steps=10
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orpo_config = ORPOConfig(
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learning_rate=1e-5,
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per_device_train_batch_size=4,
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gradient_accumulation_steps=4,
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max_steps=100,
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warmup_steps=10,
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gradient_checkpointing=True,
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fp16=True,
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logging_steps=10,
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output_dir="./orpo_output",
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optim="adamw_torch",
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remove_unused_columns=False,
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max_length=max_length,
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max_prompt_length=512,
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report_to="none",
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)
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## Model Details
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