Class: Aws::Bedrock::Types::RFTHyperParameters

Inherits:

Struct

• Object
• Struct
• Aws::Bedrock::Types::RFTHyperParameters

Defined in:

gems/aws-sdk-bedrock/lib/aws-sdk-bedrock/types.rb

Overview

Hyperparameters for controlling the reinforcement fine-tuning training process, including learning settings and evaluation intervals.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #batch_size ⇒ Integer

  Number of training samples processed in each batch during reinforcement fine-tuning (RFT) training.

• #epoch_count ⇒ Integer

  Number of training epochs to run during reinforcement fine-tuning.

• #eval_interval ⇒ Integer

  Interval between evaluation runs during RFT training, measured in training steps.

• #inference_max_tokens ⇒ Integer

  Maximum number of tokens the model can generate in response to each prompt during RFT training.

• #learning_rate ⇒ Float

  Learning rate for the reinforcement fine-tuning.

• #max_prompt_length ⇒ Integer

  Maximum length of input prompts during RFT training, measured in tokens.

• #reasoning_effort ⇒ String

  Level of reasoning effort applied during RFT training.

• #training_sample_per_prompt ⇒ Integer

  Number of response samples generated per prompt during RFT training.

Instance Attribute Details

#batch_size ⇒ Integer

Number of training samples processed in each batch during reinforcement fine-tuning (RFT) training. Larger batches may improve training stability.

Returns:

• (Integer)

# File 'gems/aws-sdk-bedrock/lib/aws-sdk-bedrock/types.rb', line 12016

class RFTHyperParameters < Struct.new(
  :epoch_count,
  :batch_size,
  :learning_rate,
  :max_prompt_length,
  :training_sample_per_prompt,
  :inference_max_tokens,
  :reasoning_effort,
  :eval_interval)
  SENSITIVE = []
  include Aws::Structure
end

#epoch_count ⇒ Integer

Number of training epochs to run during reinforcement fine-tuning. Higher values may improve performance but increase training time.

Returns:

• (Integer)

# File 'gems/aws-sdk-bedrock/lib/aws-sdk-bedrock/types.rb', line 12016

class RFTHyperParameters < Struct.new(
  :epoch_count,
  :batch_size,
  :learning_rate,
  :max_prompt_length,
  :training_sample_per_prompt,
  :inference_max_tokens,
  :reasoning_effort,
  :eval_interval)
  SENSITIVE = []
  include Aws::Structure
end

#eval_interval ⇒ Integer

Interval between evaluation runs during RFT training, measured in training steps. More frequent evaluation provides better monitoring.

Returns:

• (Integer)

# File 'gems/aws-sdk-bedrock/lib/aws-sdk-bedrock/types.rb', line 12016

class RFTHyperParameters < Struct.new(
  :epoch_count,
  :batch_size,
  :learning_rate,
  :max_prompt_length,
  :training_sample_per_prompt,
  :inference_max_tokens,
  :reasoning_effort,
  :eval_interval)
  SENSITIVE = []
  include Aws::Structure
end

#inference_max_tokens ⇒ Integer

Maximum number of tokens the model can generate in response to each prompt during RFT training.

Returns:

• (Integer)

# File 'gems/aws-sdk-bedrock/lib/aws-sdk-bedrock/types.rb', line 12016

class RFTHyperParameters < Struct.new(
  :epoch_count,
  :batch_size,
  :learning_rate,
  :max_prompt_length,
  :training_sample_per_prompt,
  :inference_max_tokens,
  :reasoning_effort,
  :eval_interval)
  SENSITIVE = []
  include Aws::Structure
end

#learning_rate ⇒ Float

Learning rate for the reinforcement fine-tuning. Controls how quickly the model adapts to reward signals.

Returns:

• (Float)

# File 'gems/aws-sdk-bedrock/lib/aws-sdk-bedrock/types.rb', line 12016

class RFTHyperParameters < Struct.new(
  :epoch_count,
  :batch_size,
  :learning_rate,
  :max_prompt_length,
  :training_sample_per_prompt,
  :inference_max_tokens,
  :reasoning_effort,
  :eval_interval)
  SENSITIVE = []
  include Aws::Structure
end

#max_prompt_length ⇒ Integer

Maximum length of input prompts during RFT training, measured in tokens. Longer prompts allow more context but increase memory usage and training-time.

Returns:

• (Integer)

# File 'gems/aws-sdk-bedrock/lib/aws-sdk-bedrock/types.rb', line 12016

class RFTHyperParameters < Struct.new(
  :epoch_count,
  :batch_size,
  :learning_rate,
  :max_prompt_length,
  :training_sample_per_prompt,
  :inference_max_tokens,
  :reasoning_effort,
  :eval_interval)
  SENSITIVE = []
  include Aws::Structure
end

#reasoning_effort ⇒ String

Level of reasoning effort applied during RFT training. Higher values may improve response quality but increase training time.

Returns:

• (String)

# File 'gems/aws-sdk-bedrock/lib/aws-sdk-bedrock/types.rb', line 12016

class RFTHyperParameters < Struct.new(
  :epoch_count,
  :batch_size,
  :learning_rate,
  :max_prompt_length,
  :training_sample_per_prompt,
  :inference_max_tokens,
  :reasoning_effort,
  :eval_interval)
  SENSITIVE = []
  include Aws::Structure
end

#training_sample_per_prompt ⇒ Integer

Number of response samples generated per prompt during RFT training. More samples provide better reward signal estimation.

Returns:

• (Integer)

# File 'gems/aws-sdk-bedrock/lib/aws-sdk-bedrock/types.rb', line 12016

class RFTHyperParameters < Struct.new(
  :epoch_count,
  :batch_size,
  :learning_rate,
  :max_prompt_length,
  :training_sample_per_prompt,
  :inference_max_tokens,
  :reasoning_effort,
  :eval_interval)
  SENSITIVE = []
  include Aws::Structure
end