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LLaMA3.1-8B-Tag – AI Model by Keven16 | AlphaNeural AI

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Keven16/
LLaMA3.1-8B-Tag

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LLaMA3.1-8B-Tag

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: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Framework versions

Transformers 4.43.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1