com.oracle.bmc.generativeai.model.TrainingConfig Maven / Gradle / Ivy
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/**
* Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved.
* This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
*/
package com.oracle.bmc.generativeai.model;
/**
* The fine-tuning method and hyperparameters used for fine-tuning a custom model.
* Note: Objects should always be created or deserialized using the {@link Builder}. This model
* distinguishes fields that are {@code null} because they are unset from fields that are explicitly
* set to {@code null}. This is done in the setter methods of the {@link Builder}, which maintain a
* set of all explicitly set fields called {@link Builder#__explicitlySet__}. The {@link
* #hashCode()} and {@link #equals(Object)} methods are implemented to take the explicitly set
* fields into account. The constructor, on the other hand, does not take the explicitly set fields
* into account (since the constructor cannot distinguish explicit {@code null} from unset {@code
* null}).
*/
@jakarta.annotation.Generated(value = "OracleSDKGenerator", comments = "API Version: 20231130")
@com.fasterxml.jackson.annotation.JsonTypeInfo(
use = com.fasterxml.jackson.annotation.JsonTypeInfo.Id.NAME,
include = com.fasterxml.jackson.annotation.JsonTypeInfo.As.PROPERTY,
property = "trainingConfigType",
defaultImpl = TrainingConfig.class)
@com.fasterxml.jackson.annotation.JsonSubTypes({
@com.fasterxml.jackson.annotation.JsonSubTypes.Type(
value = LoraTrainingConfig.class,
name = "LORA_TRAINING_CONFIG"),
@com.fasterxml.jackson.annotation.JsonSubTypes.Type(
value = VanillaTrainingConfig.class,
name = "VANILLA_TRAINING_CONFIG"),
@com.fasterxml.jackson.annotation.JsonSubTypes.Type(
value = TFewTrainingConfig.class,
name = "TFEW_TRAINING_CONFIG")
})
@com.fasterxml.jackson.annotation.JsonFilter(
com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel.EXPLICITLY_SET_FILTER_NAME)
public class TrainingConfig extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel {
@Deprecated
@java.beans.ConstructorProperties({
"totalTrainingEpochs",
"learningRate",
"trainingBatchSize",
"earlyStoppingPatience",
"earlyStoppingThreshold",
"logModelMetricsIntervalInSteps"
})
protected TrainingConfig(
Integer totalTrainingEpochs,
Double learningRate,
Integer trainingBatchSize,
Integer earlyStoppingPatience,
Double earlyStoppingThreshold,
Integer logModelMetricsIntervalInSteps) {
super();
this.totalTrainingEpochs = totalTrainingEpochs;
this.learningRate = learningRate;
this.trainingBatchSize = trainingBatchSize;
this.earlyStoppingPatience = earlyStoppingPatience;
this.earlyStoppingThreshold = earlyStoppingThreshold;
this.logModelMetricsIntervalInSteps = logModelMetricsIntervalInSteps;
}
/** The maximum number of training epochs to run for. */
@com.fasterxml.jackson.annotation.JsonProperty("totalTrainingEpochs")
private final Integer totalTrainingEpochs;
/**
* The maximum number of training epochs to run for.
*
* @return the value
*/
public Integer getTotalTrainingEpochs() {
return totalTrainingEpochs;
}
/** The initial learning rate to be used during training */
@com.fasterxml.jackson.annotation.JsonProperty("learningRate")
private final Double learningRate;
/**
* The initial learning rate to be used during training
*
* @return the value
*/
public Double getLearningRate() {
return learningRate;
}
/** The batch size used during training. */
@com.fasterxml.jackson.annotation.JsonProperty("trainingBatchSize")
private final Integer trainingBatchSize;
/**
* The batch size used during training.
*
* @return the value
*/
public Integer getTrainingBatchSize() {
return trainingBatchSize;
}
/**
* Stop training if the loss metric does not improve beyond 'early_stopping_threshold' for this
* many times of evaluation.
*/
@com.fasterxml.jackson.annotation.JsonProperty("earlyStoppingPatience")
private final Integer earlyStoppingPatience;
/**
* Stop training if the loss metric does not improve beyond 'early_stopping_threshold' for this
* many times of evaluation.
*
* @return the value
*/
public Integer getEarlyStoppingPatience() {
return earlyStoppingPatience;
}
/** How much the loss must improve to prevent early stopping. */
@com.fasterxml.jackson.annotation.JsonProperty("earlyStoppingThreshold")
private final Double earlyStoppingThreshold;
/**
* How much the loss must improve to prevent early stopping.
*
* @return the value
*/
public Double getEarlyStoppingThreshold() {
return earlyStoppingThreshold;
}
/**
* Determines how frequently to log model metrics.
*
* Every step is logged for the first 20 steps and then follows this parameter for log
* frequency. Set to 0 to disable logging the model metrics.
*/
@com.fasterxml.jackson.annotation.JsonProperty("logModelMetricsIntervalInSteps")
private final Integer logModelMetricsIntervalInSteps;
/**
* Determines how frequently to log model metrics.
*
*
Every step is logged for the first 20 steps and then follows this parameter for log
* frequency. Set to 0 to disable logging the model metrics.
*
* @return the value
*/
public Integer getLogModelMetricsIntervalInSteps() {
return logModelMetricsIntervalInSteps;
}
@Override
public String toString() {
return this.toString(true);
}
/**
* Return a string representation of the object.
*
* @param includeByteArrayContents true to include the full contents of byte arrays
* @return string representation
*/
public String toString(boolean includeByteArrayContents) {
java.lang.StringBuilder sb = new java.lang.StringBuilder();
sb.append("TrainingConfig(");
sb.append("super=").append(super.toString());
sb.append("totalTrainingEpochs=").append(String.valueOf(this.totalTrainingEpochs));
sb.append(", learningRate=").append(String.valueOf(this.learningRate));
sb.append(", trainingBatchSize=").append(String.valueOf(this.trainingBatchSize));
sb.append(", earlyStoppingPatience=").append(String.valueOf(this.earlyStoppingPatience));
sb.append(", earlyStoppingThreshold=").append(String.valueOf(this.earlyStoppingThreshold));
sb.append(", logModelMetricsIntervalInSteps=")
.append(String.valueOf(this.logModelMetricsIntervalInSteps));
sb.append(")");
return sb.toString();
}
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (!(o instanceof TrainingConfig)) {
return false;
}
TrainingConfig other = (TrainingConfig) o;
return java.util.Objects.equals(this.totalTrainingEpochs, other.totalTrainingEpochs)
&& java.util.Objects.equals(this.learningRate, other.learningRate)
&& java.util.Objects.equals(this.trainingBatchSize, other.trainingBatchSize)
&& java.util.Objects.equals(this.earlyStoppingPatience, other.earlyStoppingPatience)
&& java.util.Objects.equals(
this.earlyStoppingThreshold, other.earlyStoppingThreshold)
&& java.util.Objects.equals(
this.logModelMetricsIntervalInSteps, other.logModelMetricsIntervalInSteps)
&& super.equals(other);
}
@Override
public int hashCode() {
final int PRIME = 59;
int result = 1;
result =
(result * PRIME)
+ (this.totalTrainingEpochs == null
? 43
: this.totalTrainingEpochs.hashCode());
result = (result * PRIME) + (this.learningRate == null ? 43 : this.learningRate.hashCode());
result =
(result * PRIME)
+ (this.trainingBatchSize == null ? 43 : this.trainingBatchSize.hashCode());
result =
(result * PRIME)
+ (this.earlyStoppingPatience == null
? 43
: this.earlyStoppingPatience.hashCode());
result =
(result * PRIME)
+ (this.earlyStoppingThreshold == null
? 43
: this.earlyStoppingThreshold.hashCode());
result =
(result * PRIME)
+ (this.logModelMetricsIntervalInSteps == null
? 43
: this.logModelMetricsIntervalInSteps.hashCode());
result = (result * PRIME) + super.hashCode();
return result;
}
/** The fine-tuning method for training a custom model. */
public enum TrainingConfigType implements com.oracle.bmc.http.internal.BmcEnum {
TfewTrainingConfig("TFEW_TRAINING_CONFIG"),
VanillaTrainingConfig("VANILLA_TRAINING_CONFIG"),
LoraTrainingConfig("LORA_TRAINING_CONFIG"),
/**
* This value is used if a service returns a value for this enum that is not recognized by
* this version of the SDK.
*/
UnknownEnumValue(null);
private static final org.slf4j.Logger LOG =
org.slf4j.LoggerFactory.getLogger(TrainingConfigType.class);
private final String value;
private static java.util.Map map;
static {
map = new java.util.HashMap<>();
for (TrainingConfigType v : TrainingConfigType.values()) {
if (v != UnknownEnumValue) {
map.put(v.getValue(), v);
}
}
}
TrainingConfigType(String value) {
this.value = value;
}
@com.fasterxml.jackson.annotation.JsonValue
public String getValue() {
return value;
}
@com.fasterxml.jackson.annotation.JsonCreator
public static TrainingConfigType create(String key) {
if (map.containsKey(key)) {
return map.get(key);
}
LOG.warn(
"Received unknown value '{}' for enum 'TrainingConfigType', returning UnknownEnumValue",
key);
return UnknownEnumValue;
}
};
}