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meta-llama-Llama-3.1-8B-full-finetune-wapo – AI Model by cc0de | AlphaNeural AI

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meta-llama-Llama-3.1-8B-full-finetune-wapo

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meta-llama-Llama-3.1-8B-full-finetune-wapo

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None 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: 4.6875e-08
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 4
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 16
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.44.0
Pytorch 2.3.1
Datasets 3.2.0
Tokenizers 0.19.1