Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
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Measurement
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A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.
Fields
elapsedDuration
string (Duration
format)
Output only. time that the Trial has been running at the point of this Measurement.
A duration in seconds with up to nine fractional digits, ending with 's
'. Example: "3.5s"
.
stepCount
string (int64 format)
Output only. The number of steps the machine learning model has been trained for. Must be non-negative.
Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values.
JSON representation
{
"elapsedDuration" : string ,
"stepCount" : string ,
"metrics" : [
{
object (Metric
)
}
]
}
Metric
A message representing a metric in the measurement.
Fields
value
number
Output only. The value for this metric.
JSON representation
{
"metricId" : string ,
"value" : number
}
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Last updated 2024-08-06 UTC.
[{
"type": "thumb-down",
"id": "hardToUnderstand",
"label":"Hard to understand"
},{
"type": "thumb-down",
"id": "incorrectInformationOrSampleCode",
"label":"Incorrect information or sample code"
},{
"type": "thumb-down",
"id": "missingTheInformationSamplesINeed",
"label":"Missing the information/samples I need"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
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{
"lastModified": "Last updated 2024-08-06 UTC.",
"confidential": False
}