Class: OpenAI::Models::FineTuning::Jobs::FineTuningJobCheckpoint::Metrics

Inherits:

Internal::Type::BaseModel

• Object
• Internal::Type::BaseModel
• OpenAI::Models::FineTuning::Jobs::FineTuningJobCheckpoint::Metrics

Defined in:

lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb

Overview

See Also:

• #metrics

Instance Attribute Summary

• #full_valid_loss ⇒ Float^?
• #full_valid_mean_token_accuracy ⇒ Float^?
• #step ⇒ Float^?
• #train_loss ⇒ Float^?
• #train_mean_token_accuracy ⇒ Float^?
• #valid_loss ⇒ Float^?
• #valid_mean_token_accuracy ⇒ Float^?

Instance Method Summary

• #initialize(full_valid_loss: nil, full_valid_mean_token_accuracy: nil, step: nil, train_loss: nil, train_mean_token_accuracy: nil, valid_loss: nil, valid_mean_token_accuracy: nil) ⇒ Object constructor

  Metrics at the step number during the fine-tuning job.

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, type_info

Methods included from Internal::Util::SorbetRuntimeSupport

#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type

Constructor Details

#initialize(full_valid_loss: nil, full_valid_mean_token_accuracy: nil, step: nil, train_loss: nil, train_mean_token_accuracy: nil, valid_loss: nil, valid_mean_token_accuracy: nil) ⇒ Object

Metrics at the step number during the fine-tuning job.

Parameters:

• full_valid_loss (Float) (defaults to: nil)
• full_valid_mean_token_accuracy (Float) (defaults to: nil)
• step (Float) (defaults to: nil)
• train_loss (Float) (defaults to: nil)
• train_mean_token_accuracy (Float) (defaults to: nil)
• valid_loss (Float) (defaults to: nil)
• valid_mean_token_accuracy (Float) (defaults to: nil)

# File 'lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb', line 106

Instance Attribute Details

#full_valid_loss ⇒ Float^?

Returns:

• (Float, nil)

# File 'lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb', line 74

optional :full_valid_loss, Float

#full_valid_mean_token_accuracy ⇒ Float^?

Returns:

• (Float, nil)

# File 'lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb', line 79

optional :full_valid_mean_token_accuracy, Float

#step ⇒ Float^?

Returns:

• (Float, nil)

# File 'lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb', line 84

optional :step, Float

#train_loss ⇒ Float^?

Returns:

• (Float, nil)

# File 'lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb', line 89

optional :train_loss, Float

#train_mean_token_accuracy ⇒ Float^?

Returns:

• (Float, nil)

# File 'lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb', line 94

optional :train_mean_token_accuracy, Float

#valid_loss ⇒ Float^?

Returns:

• (Float, nil)

# File 'lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb', line 99

optional :valid_loss, Float

#valid_mean_token_accuracy ⇒ Float^?

Returns:

• (Float, nil)

# File 'lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb', line 104

optional :valid_mean_token_accuracy, Float