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Meta-Llama-3.1-8B-FourSquare-TKY-POI – AI Model by w11wo | AlphaNeural AI

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w11wo/
Meta-Llama-3.1-8B-FourSquare-TKY-POI

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Meta-Llama-3.1-8B-FourSquare-TKY-POI

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B 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: 0.0002
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

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