mirror of
https://github.com/twitter/the-algorithm-ml.git
synced 2024-11-16 13:19:23 +01:00
478 lines
14 KiB
YAML
478 lines
14 KiB
YAML
training:
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num_train_steps: 10
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num_eval_steps: 5
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checkpoint_every_n: 5
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train_log_every_n: 1
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eval_log_every_n: 1
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save_dir: ${HOME}/tmp/runs/recap_local_debug
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eval_timeout_in_s: 7200
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model:
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backbone:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config:
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mask_blocks:
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- aggregation_size: 1024
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input_layer_norm: false
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output_size: 1024
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reduction_factor: null
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- aggregation_size: 1024
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input_layer_norm: false
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output_size: 1024
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reduction_factor: null
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- aggregation_size: 1024
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input_layer_norm: false
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output_size: 1024
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reduction_factor: null
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- aggregation_size: 1024
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input_layer_norm: false
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output_size: 1024
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reduction_factor: null
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mlp:
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batch_norm: null
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dropout: null
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final_layer_activation: true
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layer_sizes:
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- 2048
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use_parallel: true
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mlp_config: null
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pos_weight: 1.0
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featurization_config:
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clip_log1p_abs_config: null
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double_norm_log_config:
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batch_norm_config:
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affine: true
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momentum: 0.01
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clip_magnitude: 5.0
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layer_norm_config:
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axis: -1
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center: true
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epsilon: 0.0
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scale: true
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feature_names_to_concat:
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- binary
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log1p_abs_config: null
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z_score_log_config: null
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large_embeddings: null
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multi_task_type: share_all
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position_debias_config: null
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small_embeddings: null
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stratifiers: null
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tasks:
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recap.engagement.is_favorited:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout: null
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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recap.engagement.is_good_clicked_convo_desc_favorited_or_replied:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout: null
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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recap.engagement.is_good_clicked_convo_desc_v2:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout: null
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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recap.engagement.is_negative_feedback_v2:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout:
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rate: 0.1
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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recap.engagement.is_profile_clicked_and_profile_engaged:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout: null
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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recap.engagement.is_replied:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout: null
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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recap.engagement.is_replied_reply_engaged_by_author:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout: null
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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recap.engagement.is_report_tweet_clicked:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout:
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rate: 0.2
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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recap.engagement.is_retweeted:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout: null
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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recap.engagement.is_video_playback_50:
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affine_map: null
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dcn_config: null
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dlrm_config: null
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mask_net_config: null
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mlp_config:
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batch_norm:
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affine: false
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momentum: 0.1
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dropout: null
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final_layer_activation: false
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layer_sizes:
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- 256
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- 128
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- 1
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pos_weight: 1.0
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train_data:
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global_batch_size: 128
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dataset_service_compression: AUTO
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inputs: &data_root "${HOME}/tmp/recap_local_random_data/*.gz"
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seg_dense_schema: &seg_dense_schema
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schema_path: "${TML_BASE}/projects/home/recap/config/home_recap_2022/segdense.json"
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renamed_features:
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"continuous": "home_recap_2022_cont__segdense_vals"
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"binary": "home_recap_2022_binary__segdense_vals"
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"discrete": "home_recap_2022_discrete__segdense_vals"
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"author_embedding": "original_author.timelines.twhin_author_follow_embeddings.twhin_author_follow_embeddings"
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"user_embedding": "user.timelines.twhin_user_follow_embeddings.twhin_user_follow_embeddings"
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"user_eng_embedding": "user.timelines.twhin_user_engagement_embeddings.twhin_user_engagement_embeddings"
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"meta__author_id": "meta.author_id"
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"meta__user_id": "meta.user_id"
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"meta__tweet_id": "meta.tweet_id"
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tasks: &data_tasks
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"recap.engagement.is_bookmarked": {}
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"recap.engagement.is_favorited": {}
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"recap.engagement.is_good_clicked_convo_desc_favorited_or_replied": {}
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"recap.engagement.is_good_clicked_convo_desc_v2": {}
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"recap.engagement.is_negative_feedback_v2": {}
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"recap.engagement.is_profile_clicked_and_profile_engaged": {}
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"recap.engagement.is_replied": {}
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"recap.engagement.is_replied_reply_engaged_by_author": {}
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"recap.engagement.is_report_tweet_clicked": {}
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"recap.engagement.is_retweeted": {}
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"recap.engagement.is_shared": {}
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"recap.engagement.is_tweet_detail_dwelled_15_sec": {}
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"recap.engagement.is_video_playback_50": {}
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preprocess: &preprocess
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truncate_and_slice:
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continuous_feature_truncation: 2117
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binary_feature_truncation: 59
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validation_data:
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validation: &validation
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global_batch_size: &eval_batch_size 128
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks: *data_tasks
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preprocess: *preprocess
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train:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks: *data_tasks
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preprocess: *preprocess
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recap.engagement.is_favorited:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_favorited":
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pos_downsampling_rate: 0.8387
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neg_downsampling_rate: 0.01
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evaluation_tasks:
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- "recap.engagement.is_favorited"
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preprocess: *preprocess
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recap.engagement.is_good_clicked_convo_desc_favorited_or_replied:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_good_clicked_convo_desc_favorited_or_replied":
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pos_downsampling_rate: 0.9164
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neg_downsampling_rate: 0.00195
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evaluation_tasks:
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- "recap.engagement.is_good_clicked_convo_desc_favorited_or_replied"
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preprocess: *preprocess
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recap.engagement.is_good_clicked_convo_desc_v2:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_good_clicked_convo_desc_v2":
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pos_downsampling_rate: 1.0
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neg_downsampling_rate: 0.00174
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evaluation_tasks:
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- "recap.engagement.is_good_clicked_convo_desc_v2"
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preprocess: *preprocess
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recap.engagement.is_negative_feedback_v2:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_negative_feedback_v2":
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pos_downsampling_rate: 1.0
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neg_downsampling_rate: 0.00280
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evaluation_tasks:
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- "recap.engagement.is_negative_feedback_v2"
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preprocess: *preprocess
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recap.engagement.is_profile_clicked_and_profile_engaged:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_profile_clicked_and_profile_engaged":
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pos_downsampling_rate: 1.0
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neg_downsampling_rate: 0.0015
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evaluation_tasks:
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- "recap.engagement.is_profile_clicked_and_profile_engaged"
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preprocess: *preprocess
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recap.engagement.is_replied:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_replied":
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pos_downsampling_rate: 1.0
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neg_downsampling_rate: 0.005
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evaluation_tasks:
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- "recap.engagement.is_replied"
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preprocess: *preprocess
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recap.engagement.is_replied_reply_engaged_by_author:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_replied_reply_engaged_by_author":
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pos_downsampling_rate: 1.0
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neg_downsampling_rate: 0.001
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evaluation_tasks:
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- "recap.engagement.is_replied_reply_engaged_by_author"
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preprocess: *preprocess
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recap.engagement.is_report_tweet_clicked:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_report_tweet_clicked":
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pos_downsampling_rate: 1.0
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neg_downsampling_rate: 0.000014
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evaluation_tasks:
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- "recap.engagement.is_report_tweet_clicked"
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preprocess: *preprocess
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recap.engagement.is_retweeted:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_retweeted":
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pos_downsampling_rate: 0.9561
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neg_downsampling_rate: 0.004
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evaluation_tasks:
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- "recap.engagement.is_retweeted"
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preprocess: *preprocess
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recap.engagement.is_video_playback_50:
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global_batch_size: *eval_batch_size
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inputs: *data_root
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seg_dense_schema: *seg_dense_schema
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tasks:
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<<: *data_tasks
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"recap.engagement.is_video_playback_50":
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pos_downsampling_rate: 1.0
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neg_downsampling_rate: 0.00427
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evaluation_tasks:
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- "recap.engagement.is_video_playback_50"
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preprocess: *preprocess
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optimizer:
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adam:
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beta_1: 0.95
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beta_2: 0.999
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epsilon: 1.0e-07
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multi_task_learning_rates:
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backbone_learning_rate:
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constant: null
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linear_ramp_to_constant:
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learning_rate: 0.0001
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num_ramp_steps: 1000
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linear_ramp_to_cosine: null
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piecewise_constant: null
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tower_learning_rates:
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recap.engagement.is_favorited:
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constant: null
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linear_ramp_to_constant:
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learning_rate: 0.0008
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num_ramp_steps: 5000
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|
linear_ramp_to_cosine: null
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piecewise_constant: null
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|
recap.engagement.is_good_clicked_convo_desc_favorited_or_replied:
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constant: null
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|
linear_ramp_to_constant:
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learning_rate: 0.0001
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|
num_ramp_steps: 2000
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|
linear_ramp_to_cosine: null
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|
piecewise_constant: null
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|
recap.engagement.is_good_clicked_convo_desc_v2:
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constant: null
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|
linear_ramp_to_constant:
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learning_rate: 0.0002
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num_ramp_steps: 1000
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|
linear_ramp_to_cosine: null
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piecewise_constant: null
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|
recap.engagement.is_negative_feedback_v2:
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constant: null
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|
linear_ramp_to_constant:
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learning_rate: 0.0005
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|
num_ramp_steps: 5000
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|
linear_ramp_to_cosine: null
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|
piecewise_constant: null
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|
recap.engagement.is_profile_clicked_and_profile_engaged:
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constant: null
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|
linear_ramp_to_constant:
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|
learning_rate: 0.0003
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|
num_ramp_steps: 1000
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|
linear_ramp_to_cosine: null
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|
piecewise_constant: null
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|
recap.engagement.is_replied:
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constant: null
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|
linear_ramp_to_constant:
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learning_rate: 0.001
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|
num_ramp_steps: 1000
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|
linear_ramp_to_cosine: null
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|
piecewise_constant: null
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|
recap.engagement.is_replied_reply_engaged_by_author:
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constant: null
|
|
linear_ramp_to_constant:
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|
learning_rate: 0.0001
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|
num_ramp_steps: 1000
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|
linear_ramp_to_cosine: null
|
|
piecewise_constant: null
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|
recap.engagement.is_report_tweet_clicked:
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constant: null
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|
linear_ramp_to_constant:
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|
learning_rate: 0.0001
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|
num_ramp_steps: 3000
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|
linear_ramp_to_cosine: null
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|
piecewise_constant: null
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|
recap.engagement.is_retweeted:
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constant: null
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|
linear_ramp_to_constant:
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|
learning_rate: 0.0001
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|
num_ramp_steps: 1000
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|
linear_ramp_to_cosine: null
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|
piecewise_constant: null
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|
recap.engagement.is_video_playback_50:
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constant: null
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|
linear_ramp_to_constant:
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learning_rate: 0.003
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num_ramp_steps: 1000
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|
linear_ramp_to_cosine: null
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piecewise_constant: null
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single_task_learning_rate: null
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