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README.md
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| 1 |
+
---
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| 2 |
+
tags:
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| 3 |
+
- viberec
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| 4 |
+
- recommender-system
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| 5 |
+
- sasrec
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| 6 |
+
datasets:
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| 7 |
+
- ml-100k
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| 8 |
+
metrics:
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| 9 |
+
averagepopularity@10: 199.4036
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| 10 |
+
hit@10: 0.1374
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| 11 |
+
ndcg@10: 0.0631
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| 12 |
+
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| 13 |
+
---
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| 14 |
+
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| 15 |
+
# SASRec trained on ml-100k
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| 16 |
+
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| 17 |
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| 18 |
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## Model Description
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| 19 |
+
- **Model**: SASRec
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| 20 |
+
- **Dataset**: ml-100k
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| 21 |
+
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| 22 |
+
## Performance
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| 23 |
+
- **ndcg@10**: 0.0631
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| 24 |
+
- **hit@10**: 0.1374
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| 25 |
+
- **averagepopularity@10**: 199.4036
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| 26 |
+
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| 27 |
+
## Configuration
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| 28 |
+
```yaml
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ENTITY_ID_FIELD: entity_id
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| 30 |
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HEAD_ENTITY_ID_FIELD: head_id
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| 31 |
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ITEM_ID_FIELD: item_id
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| 32 |
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ITEM_LIST_LENGTH_FIELD: item_length
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| 33 |
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LABEL_FIELD: label
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| 34 |
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LIST_SUFFIX: _list
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| 35 |
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MAX_ITEM_LIST_LENGTH: 50
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| 36 |
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MODEL_INPUT_TYPE: InputType.POINTWISE
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| 37 |
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MODEL_TYPE: ModelType.SEQUENTIAL
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| 38 |
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NEG_PREFIX: neg_
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| 39 |
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POSITION_FIELD: position_id
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| 40 |
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RATING_FIELD: rating
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| 41 |
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RELATION_ID_FIELD: relation_id
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| 42 |
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TAIL_ENTITY_ID_FIELD: tail_id
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| 43 |
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TIME_FIELD: timestamp
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| 44 |
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USER_ID_FIELD: user_id
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| 45 |
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additional_feat_suffix: null
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| 46 |
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alias_of_entity_id: null
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| 47 |
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alias_of_item_id: null
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| 48 |
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alias_of_relation_id: null
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| 49 |
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alias_of_user_id: null
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| 50 |
+
attn_dropout_prob: 0.5
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| 51 |
+
benchmark_filename: null
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| 52 |
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checkpoint_dir: saved
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| 53 |
+
clip_grad_norm: null
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| 54 |
+
dataloaders_save_path: null
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| 55 |
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dataset: ml-100k
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| 56 |
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dataset_save_path: saved/ml-100k.pth
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| 57 |
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discretization: null
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| 58 |
+
enable_amp: false
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| 59 |
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enable_scaler: false
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| 60 |
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entity_kg_num_interval: null
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| 61 |
+
epochs: 500
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| 62 |
+
eval_args:
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| 63 |
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group_by: user
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| 64 |
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mode:
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| 65 |
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test: full
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| 66 |
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valid: full
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| 67 |
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order: TO
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| 68 |
+
split:
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| 69 |
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LS: valid_and_test
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| 70 |
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eval_batch_size: 256
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| 71 |
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eval_step: 1
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| 72 |
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eval_type: EvaluatorType.RANKING
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| 73 |
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field_separator: "\t"
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| 74 |
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filter_inter_by_user_or_item: true
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| 75 |
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gpu_id: '0'
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| 76 |
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hidden_act: gelu
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| 77 |
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hidden_dropout_prob: 0.5
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| 78 |
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hidden_size: 16
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| 79 |
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initializer_range: 0.02
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| 80 |
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inner_size: 256
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| 81 |
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item_inter_num_interval: '[10,inf)'
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| 82 |
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kg_reverse_r: false
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| 83 |
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layer_norm_eps: 1.0e-12
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| 84 |
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learner: adamw
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| 85 |
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learning_rate: 0.001
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| 86 |
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load_col:
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| 87 |
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inter:
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| 88 |
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- user_id
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| 89 |
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- item_id
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| 90 |
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- rating
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| 91 |
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- timestamp
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| 92 |
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local_rank: 0
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| 93 |
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log_wandb: false
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| 94 |
+
loss_decimal_place: 4
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| 95 |
+
loss_type: CE
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| 96 |
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metric_decimal_place: 4
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| 97 |
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metrics:
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| 98 |
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- NDCG
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| 99 |
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- Hit
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| 100 |
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- AveragePopularity
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| 101 |
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model: SASRec
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| 102 |
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n_heads: 2
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| 103 |
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n_layers: 2
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| 104 |
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normalize_all: true
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| 105 |
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normalize_field: null
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| 106 |
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numerical_features: []
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| 107 |
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preload_weight: null
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| 108 |
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relation_kg_num_interval: null
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| 109 |
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repeatable: true
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| 110 |
+
reproducibility: true
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| 111 |
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require_pow: false
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| 112 |
+
rm_dup_inter: null
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| 113 |
+
save_dataloaders: false
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| 114 |
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save_dataset: true
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| 115 |
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seed: 2020
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| 116 |
+
seq_len: null
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| 117 |
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seq_separator: ' '
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| 118 |
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show_progress: false
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| 119 |
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shuffle: true
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| 120 |
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single_spec: true
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| 121 |
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state: INFO
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| 122 |
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stopping_step: 10
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| 123 |
+
test_neg_sample_args:
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| 124 |
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distribution: uniform
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| 125 |
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sample_num: none
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| 126 |
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threshold: null
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| 127 |
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topk:
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| 128 |
+
- 10
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| 129 |
+
train_batch_size: 256
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| 130 |
+
train_neg_sample_args:
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| 131 |
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alpha: none
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| 132 |
+
candidate_num: 0
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| 133 |
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distribution: none
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| 134 |
+
dynamic: false
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| 135 |
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sample_num: none
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| 136 |
+
transform: null
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| 137 |
+
unload_col: null
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| 138 |
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unused_col:
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| 139 |
+
inter:
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| 140 |
+
- rating
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| 141 |
+
use_gpu: true
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| 142 |
+
user_inter_num_interval: '[10,inf)'
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| 143 |
+
val_interval:
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| 144 |
+
rating: '[3,inf)'
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| 145 |
+
valid_metric: NDCG@10
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| 146 |
+
valid_metric_bigger: true
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| 147 |
+
valid_neg_sample_args:
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| 148 |
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distribution: uniform
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| 149 |
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sample_num: none
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| 150 |
+
wandb_project: recbole
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| 151 |
+
weight_decay: 0.01
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| 152 |
+
worker: 0
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| 153 |
+
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| 154 |
+
```
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