openai/openai-dotnet
Publicmirrored from https://github.com/openai/openai-dotnetAvailable
OpenAI/src/Generated/Models/FineTuning/FineTuningCheckpointMetrics.cs
50lines · modecode
| 1 | // <auto-generated/> |
| 2 | |
| 3 | #nullable disable |
| 4 | |
| 5 | using System; |
| 6 | using System.Collections.Generic; |
| 7 | using System.Diagnostics.CodeAnalysis; |
| 8 | |
| 9 | namespace OpenAI.FineTuning |
| 10 | { |
| 11 | [Experimental("OPENAI001")] |
| 12 | public partial class FineTuningCheckpointMetrics |
| 13 | { |
| 14 | private protected IDictionary<string, BinaryData> _additionalBinaryDataProperties; |
| 15 | |
| 16 | internal FineTuningCheckpointMetrics() |
| 17 | { |
| 18 | } |
| 19 | |
| 20 | internal FineTuningCheckpointMetrics(int stepNumber, float? trainLoss, float? trainMeanTokenAccuracy, float? validLoss, float? validMeanTokenAccuracy, float? fullValidLoss, float? fullValidMeanTokenAccuracy, IDictionary<string, BinaryData> additionalBinaryDataProperties) |
| 21 | { |
| 22 | StepNumber = stepNumber; |
| 23 | TrainLoss = trainLoss; |
| 24 | TrainMeanTokenAccuracy = trainMeanTokenAccuracy; |
| 25 | ValidLoss = validLoss; |
| 26 | ValidMeanTokenAccuracy = validMeanTokenAccuracy; |
| 27 | FullValidLoss = fullValidLoss; |
| 28 | FullValidMeanTokenAccuracy = fullValidMeanTokenAccuracy; |
| 29 | _additionalBinaryDataProperties = additionalBinaryDataProperties; |
| 30 | } |
| 31 | |
| 32 | public float? TrainLoss { get; } |
| 33 | |
| 34 | public float? TrainMeanTokenAccuracy { get; } |
| 35 | |
| 36 | public float? ValidLoss { get; } |
| 37 | |
| 38 | public float? ValidMeanTokenAccuracy { get; } |
| 39 | |
| 40 | public float? FullValidLoss { get; } |
| 41 | |
| 42 | public float? FullValidMeanTokenAccuracy { get; } |
| 43 | |
| 44 | internal IDictionary<string, BinaryData> SerializedAdditionalRawData |
| 45 | { |
| 46 | get => _additionalBinaryDataProperties; |
| 47 | set => _additionalBinaryDataProperties = value; |
| 48 | } |
| 49 | } |
| 50 | } |
| 51 | |