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deepfm_on_movielens.config
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deepfm_on_movielens.config
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train_input_path: "examples/data/movielens_1m/movies_train_data"
eval_input_path: "examples/data/movielens_1m/movies_test_data"
model_dir: "examples/ckpt/deepfm_movieslen_ckpt"
train_config {
log_step_count_steps: 100
optimizer_config: {
adam_optimizer: {
learning_rate: {
exponential_decay_learning_rate {
initial_learning_rate: 0.001
decay_steps: 1000
decay_factor: 0.5
min_learning_rate: 0.00001
}
}
}
use_moving_average: false
}
save_checkpoints_steps: 100
sync_replicas: True
num_steps: 2500
}
eval_config {
metrics_set: {
auc {}
}
metrics_set: {
gauc {
uid_field: 'user_id'
}
}
metrics_set: {
max_f1 {}
}
}
data_config {
input_fields {
input_name:'label'
input_type: INT32
}
input_fields {
input_name:'user_id'
input_type: INT32
}
input_fields {
input_name: 'movie_id'
input_type: INT32
}
input_fields {
input_name:'rating'
input_type: INT32
}
input_fields {
input_name: 'gender'
input_type: INT32
}
input_fields {
input_name: 'age'
input_type: INT32
}
input_fields {
input_name: 'job_id'
input_type: INT32
}
input_fields {
input_name: 'zip_id'
input_type: STRING
}
input_fields {
input_name: 'title'
input_type: STRING
}
input_fields {
input_name: 'genres'
input_type: STRING
}
input_fields {
input_name: 'year'
input_type: INT32
}
label_fields: 'label'
batch_size: 1024
num_epochs: 1
prefetch_size: 32
input_type: CSVInput
separator: '\t'
}
feature_config: {
features: {
input_names: 'user_id'
feature_type: IdFeature
embedding_dim: 16
hash_bucket_size: 12000
}
features: {
input_names: 'movie_id'
feature_type: IdFeature
embedding_dim: 16
hash_bucket_size: 6000
}
features: {
input_names: 'gender'
feature_type: IdFeature
embedding_dim: 16
num_buckets: 2
}
features: {
input_names: 'job_id'
feature_type: IdFeature
embedding_dim: 16
num_buckets: 21
}
features: {
input_names: 'age'
feature_type: IdFeature
embedding_dim: 16
num_buckets: 7
}
features: {
input_names: 'genres'
feature_type: TagFeature
separator: '|'
embedding_dim: 16
hash_bucket_size: 100
}
features: {
input_names: 'title'
feature_type: SequenceFeature
separator: ' '
embedding_dim: 16
hash_bucket_size: 10000
sequence_combiner: {
text_cnn: {
filter_sizes: [2, 3, 4]
num_filters: [8, 4, 4]
pad_sequence_length: 14
}
}
}
features: {
input_names: 'year'
feature_type: IdFeature
embedding_dim: 16
num_buckets: 36
}
}
model_config: {
model_class: 'DeepFM'
feature_groups: {
group_name: 'wide'
feature_names: 'user_id'
feature_names: 'movie_id'
feature_names: 'job_id'
feature_names: 'age'
feature_names: 'gender'
feature_names: 'year'
feature_names: 'genres'
wide_deep: WIDE
}
feature_groups: {
group_name: 'deep'
feature_names: 'user_id'
feature_names: 'movie_id'
feature_names: 'job_id'
feature_names: 'age'
feature_names: 'gender'
feature_names: 'year'
feature_names: 'genres'
feature_names: 'title'
wide_deep: DEEP
}
deepfm {
dnn {
hidden_units: [256, 128, 64]
}
l2_regularization: 1e-4
}
embedding_regularization: 1e-4
}