Returns the status of a model's training process. Use the progress field to determine how far the training has progressed. When training completes successfully, the status
is SUCCEEDED
and the progress
is 1
.
Response Body
Name | Type | Description | Available Version |
---|---|---|---|
| string | Algorithm used to create the model. Returned only when the | 2.0 |
| date | Date and time that the model was created. | 1.0 |
| long | ID of the dataset trained to create the model. | 1.0 |
| int | N/A | 1.0 |
| boolean | Specifies whether the training process stopped before completing all the epochs. The training process stops before the specified number of epochs when the model has reached the optimal accuracy. The For detection datasets, the training process completes all the epochs, it doesn't stop early. | 2.0 |
| int | Number of epochs used during training. | 1.0 |
| string | Reason the dataset training failed. Returned only if the training status is | 1.0 |
| string | Model language inherited from the dataset language. Default is | 2.0 |
| int | Last training iteration performed. | 2.0 |
| float | Learning rate used during training. | 1.0 |
| string | ID of the model. Contains letters and numbers. | 1.0 |
| string | Type of data from which the model was created. Valid values are:
| 1.0 |
| string | Name of the model. | 1.0 |
| string | Object returned; in this case, | 1.0 |
| float | How far the training job has progressed. Values are between 0–1. | 1.0 |
| int | Where the training job is in the queue. This field appears in the response only if the status is | 1.0 |
| string | Status of the model training. Valid values are:
| 1.0 |
| string | Training parameters passed into the request. | 1.0 |
| object | Statistics about the training. | 1.0 |
| string | Date and time that the model was last updated. | 1.0 |
trainStats Response Body
Name | Type | Description | Available Version |
---|---|---|---|
| string | Time it took to load the dataset to be trained. | 1.0 |
| int | Total number of examples in the dataset from which the model was created. | 1.0 |
| string | Time it took to load global resources. Returned only when | 2.0 |
| int | Total number of labels in the dataset from which the model was created. | 1.0 |
| int | Number of the last training iteration that completed. | 1.0 |
| string | Time it took to save the model. | 1.0 |
| int | Number of examples (from the dataset total number of examples) used to test the model. | 1.0 |
| string | Total training time: | 1.0 |
| string | Time it took to train the dataset to create the model. | 1.0 |
| int | Number of examples (from the dataset total number of examples) used to train the model. | 1.0 |