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Bert4 rec popular (in batch) and all rank #15

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cc08454
bert4rec original, timeline split, ce loss all rank
YaroslavZhurba Dec 21, 2024
9494537
implement bert4rec all rank and popular (in batch)
Jan 3, 2025
d716a63
implement random sampler by popularity for bert4rec
Jan 4, 2025
6f2f57a
merge master
Jan 5, 2025
b2b24d4
implement populat, all rank and in batch for bert4rec and sasrec
Jan 5, 2025
ed4098f
change configs experiment_names
Jan 6, 2025
53c7621
try fix device
Jan 6, 2025
6542b3b
fix nans
Jan 8, 2025
b7b112b
add coverage and print metrics
Jan 8, 2025
254a160
fix configs
Jan 8, 2025
ac68266
fix bert4rec in batch
Jan 13, 2025
71eac21
impement sasrec_ce loss and bert4rec_sasrec loss
Feb 5, 2025
8ad4f73
fix sasrec all_rank positive scores shape
Feb 11, 2025
e3133fe
fix sasrec in batch
Feb 11, 2025
2f1cdf1
implement log q and adaptive
Mar 25, 2025
19028ad
fix adaptive loss
Apr 5, 2025
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6 changes: 3 additions & 3 deletions configs/inference/bert4rec_inference_config.json
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Original file line number Diff line number Diff line change
@@ -1,10 +1,10 @@
{
"pred_prefix": "logits",
"label_prefix": "labels",
"experiment_name": "bert4rec_beauty_grid_0-5_0-1__",
"experiment_name": "bert4rec_all_rank_beauty",
"dataset": {
"type": "sequence",
"path_to_data_dir": "../data",
"path_to_data_dir": "../data/sasrec_in_batch",
"name": "Beauty",
"max_sequence_length": 50,
"samplers": {
Expand Down Expand Up @@ -34,7 +34,7 @@
}
},
"model": {
"type": "bert4rec",
"type": "bert4rec_all_rank",
"sequence_prefix": "item",
"labels_prefix": "labels",
"candidate_prefix": "candidates",
Expand Down
4 changes: 2 additions & 2 deletions configs/train/bert4rec_train_config.json
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
"best_metric": "validation/ndcg@20",
"dataset": {
"type": "sequence",
"path_to_data_dir": "../data",
"path_to_data_dir": "../data/sasrec_in_batch",
"name": "Beauty",
"max_sequence_length": 50,
"samplers": {
Expand Down Expand Up @@ -41,7 +41,7 @@
"num_heads": 2,
"num_layers": 2,
"dim_feedforward": 256,
"dropout": 0.2,
"dropout": 0.3,
"activation": "gelu",
"layer_norm_eps": 1e-9,
"initializer_range": 0.02
Expand Down
169 changes: 169 additions & 0 deletions configs/train/bert4rec_train_config_all_rank.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,169 @@
{
"experiment_name": "bert4rec_all_rank_beauty_bce_0-3_0-2",
"best_metric": "validation/ndcg@20",
"dataset": {
"type": "sequence",
"path_to_data_dir": "../data/sasrec_in_batch",
"name": "Beauty",
"max_sequence_length": 50,
"samplers": {
"mask_prob": 0.3,
"type": "masked_item_prediction",
"negative_sampler_type": "random"
}
},
"dataloader": {
"train": {
"type": "torch",
"batch_size": 256,
"batch_processor": {
"type": "basic"
},
"drop_last": true,
"shuffle": true
},
"validation": {
"type": "torch",
"batch_size": 256,
"batch_processor": {
"type": "basic"
},
"drop_last": false,
"shuffle": false
}
},
"model": {
"type": "bert4rec_all_rank",
"user_prefix": "user",
"sequence_prefix": "item",
"labels_prefix": "labels",
"candidate_prefix": "candidates",
"embedding_dim": 64,
"num_heads": 2,
"num_layers": 2,
"dim_feedforward": 256,
"dropout": 0.2,
"activation": "gelu",
"layer_norm_eps": 1e-9,
"initializer_range": 0.02
},
"optimizer": {
"type": "basic",
"optimizer": {
"type": "adam",
"lr": 0.001
},
"clip_grad_threshold": 5.0
},
"loss": {
"type": "composite",
"losses": [
{
"type": "bert4rec_sasrec",
"predictions_prefix": "logits",
"labels_prefix": "labels",
"output_prefix": "downstream_loss",
"weight": 1.0
}
],
"output_prefix": "loss"
},
"callback": {
"type": "composite",
"callbacks": [
{
"type": "metric",
"on_step": 1,
"loss_prefix": "loss"
},
{
"type": "validation",
"on_step": 64,
"pred_prefix": "logits",
"labels_prefix": "labels",
"metrics": {
"ndcg@5": {
"type": "ndcg",
"k": 5
},
"ndcg@10": {
"type": "ndcg",
"k": 10
},
"ndcg@20": {
"type": "ndcg",
"k": 20
},
"recall@5": {
"type": "recall",
"k": 5
},
"recall@10": {
"type": "recall",
"k": 10
},
"recall@20": {
"type": "recall",
"k": 20
},
"coverage@5": {
"type": "coverage",
"k": 5
},
"coverage@10": {
"type": "coverage",
"k": 10
},
"coverage@20": {
"type": "coverage",
"k": 20
}
}
},
{
"type": "eval",
"on_step": 256,
"pred_prefix": "logits",
"labels_prefix": "labels",
"metrics": {
"ndcg@5": {
"type": "ndcg",
"k": 5
},
"ndcg@10": {
"type": "ndcg",
"k": 10
},
"ndcg@20": {
"type": "ndcg",
"k": 20
},
"recall@5": {
"type": "recall",
"k": 5
},
"recall@10": {
"type": "recall",
"k": 10
},
"recall@20": {
"type": "recall",
"k": 20
},
"coverage@5": {
"type": "coverage",
"k": 5
},
"coverage@10": {
"type": "coverage",
"k": 10
},
"coverage@20": {
"type": "coverage",
"k": 20
}
}
}
]
}
}
169 changes: 169 additions & 0 deletions configs/train/bert4rec_train_config_in_batch.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,169 @@
{
"experiment_name": "bert4rec_in_batch_beauty_bce_0-3_0-5",
"best_metric": "validation/ndcg@20",
"dataset": {
"type": "sequence",
"path_to_data_dir": "../data/sasrec_in_batch",
"name": "Beauty",
"max_sequence_length": 50,
"samplers": {
"mask_prob": 0.3,
"type": "masked_item_prediction",
"negative_sampler_type": "random"
}
},
"dataloader": {
"train": {
"type": "torch",
"batch_size": 256,
"batch_processor": {
"type": "basic"
},
"drop_last": true,
"shuffle": true
},
"validation": {
"type": "torch",
"batch_size": 256,
"batch_processor": {
"type": "basic"
},
"drop_last": false,
"shuffle": false
}
},
"model": {
"type": "bert4rec_in_batch",
"user_prefix": "user",
"sequence_prefix": "item",
"labels_prefix": "labels",
"candidate_prefix": "candidates",
"embedding_dim": 64,
"num_heads": 2,
"num_layers": 2,
"dim_feedforward": 256,
"dropout": 0.5,
"activation": "gelu",
"layer_norm_eps": 1e-9,
"initializer_range": 0.02
},
"optimizer": {
"type": "basic",
"optimizer": {
"type": "adam",
"lr": 0.001
},
"clip_grad_threshold": 5.0
},
"loss": {
"type": "composite",
"losses": [
{
"type": "bert4rec_sasrec",
"predictions_prefix": "logits",
"labels_prefix": "labels",
"output_prefix": "downstream_loss",
"weight": 1.0
}
],
"output_prefix": "loss"
},
"callback": {
"type": "composite",
"callbacks": [
{
"type": "metric",
"on_step": 1,
"loss_prefix": "loss"
},
{
"type": "validation",
"on_step": 64,
"pred_prefix": "logits",
"labels_prefix": "labels",
"metrics": {
"ndcg@5": {
"type": "ndcg",
"k": 5
},
"ndcg@10": {
"type": "ndcg",
"k": 10
},
"ndcg@20": {
"type": "ndcg",
"k": 20
},
"recall@5": {
"type": "recall",
"k": 5
},
"recall@10": {
"type": "recall",
"k": 10
},
"recall@20": {
"type": "recall",
"k": 20
},
"coverage@5": {
"type": "coverage",
"k": 5
},
"coverage@10": {
"type": "coverage",
"k": 10
},
"coverage@20": {
"type": "coverage",
"k": 20
}
}
},
{
"type": "eval",
"on_step": 256,
"pred_prefix": "logits",
"labels_prefix": "labels",
"metrics": {
"ndcg@5": {
"type": "ndcg",
"k": 5
},
"ndcg@10": {
"type": "ndcg",
"k": 10
},
"ndcg@20": {
"type": "ndcg",
"k": 20
},
"recall@5": {
"type": "recall",
"k": 5
},
"recall@10": {
"type": "recall",
"k": 10
},
"recall@20": {
"type": "recall",
"k": 20
},
"coverage@5": {
"type": "coverage",
"k": 5
},
"coverage@10": {
"type": "coverage",
"k": 10
},
"coverage@20": {
"type": "coverage",
"k": 20
}
}
}
]
}
}
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