AWS Sagemaker splitting between training and validation and ClientError

Dears,

I started working with Sagemaker! In other words, I am new with this service. I have a db contains some facial images for three races black/white/asian and two genders male/female. I would like to use sagemaker AWS to train/model it. I created train and validation labels and sepreated data into 6 classess for training and validation: (asian female af/black male bf/white male wm/etc)

s3://dbimgraces/af/

s3://dbimgraces/am/

s3://dbimgraces/bf/

s3://dbimgraces/bm/

s3://dbimgraces/wf/

s3://dbimgraces/wm/

The first question is that we only have 20 channeles in sagemaker, 6 trainings+6 validations+6 train lables+6 validation lables=24 channels which wont be accepted by aws sagemaker. How can I solve this issue? Is any advice for splitting and structuring about the model?

The second question is that with every combination (train/validation/train-lb/validation-lb), I get the following error? why?

ClientError: Unable to initialize the algorithm. Failed to validate input data configuration. (caused by ValidationError) Caused by: Additional properties are not allowed ('validation-lb-bm', 'validation-lb-bf', 'train-lb-bf', 'train-lb-bm' were unexpected) Failed validating 'additionalProperties' in schema: {'$schema': 'http://json-schema.org/draft-04/schema#', 'additionalProperties': False, 'anyOf': [{'required': ['train']}, {'required': ['validation']}, {'optional': ['train_lst']}, {'optional': ['validation_lst']}, {'optional': ['model']}], 'definitions': {'data_channel': {'properties': {'ContentType': {'type': 'string'}}, 'type': 'object'}}, 'properties': {'model': {'$ref': '#/definitions/data_channel'}, 'train': {'$ref': '#/definitions/data_channel'}, 'train_lst': {'$ref': '#/definitions/data_channel'}, 'validation': {'$, e

ClientError: Unable to initialize the algorithm. Failed to validate input data configuration. (caused by ValidationError) Caused by: Additional properties are not allowed ('lb_bf', 'valid_af', 'valid_bm', 'lb_wm', 'tr-bm', 'valid_wm', 'tr-am', 'tr-wf', 'lb_bm', 'lb_am', 'lb_wf', 'tr-af', 'tr-bf', 'valid_bf', 'valid_wf', 'lb_af', 'valid_am', 'tr-wm' were unexpected) Failed validating 'additionalProperties' in schema: {'$schema': 'http://json-schema.org/draft-04/schema#', 'additionalProperties': False, 'anyOf': [{'required': ['train']}, {'required': ['validation']}, {'optional': ['train_lst']}, {'optional': ['validation_lst']}, {'optional': ['model']}], 'definitions': {'data_channel': {'properties': {'ContentType': {'type': 'string'}}, 'type': 'object'}}, 'properties': {'model': {'$ref': '#/definitions/data_channel'}, 'train': {'$ref': '#/definitions/data_channel'}, , e

ClientError: Unable to initialize the algorithm. Failed to validate input data configuration. (caused by ValidationError) Caused by: Additional properties are not allowed ('train-lst', 'validation-lst' were unexpected) Failed validating 'additionalProperties' in schema: {'$schema': 'http://json-schema.org/draft-04/schema#', 'additionalProperties': False, 'anyOf': [{'required': ['train']}, {'required': ['validation']}, {'optional': ['train_lst']}, {'optional': ['validation_lst']}, {'optional': ['model']}], 'definitions': {'data_channel': {'properties': {'ContentType': {'type': 'string'}}, 'type': 'object'}}, 'properties': {'model': {'$ref': '#/definitions/data_channel'}, 'train': {'$ref': '#/definitions/data_channel'}, 'train_lst': {'$ref': '#/definitions/data_channel'}, 'validation': {'$ref': '#/definitions/data_channel'}, , e