GenUP
Collection
GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems (Wongso et al., 2024). https://github.com/w11wo/GenUP • 24 items • Updated • 1
Llama-2-7b-longlora-32k-merged-FourSquare-TKY-POI
This model is a fine-tuned version of w11wo/Llama-2-7b-longlora-32k-merged on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 4
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
w11wo/Llama-2-7b-longlora-32k-merged