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Llama-3.1-8B-amazon-train-loop-1-2025-06-08 – AI Model by morturr | AlphaNeural AI

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Llama-3.1-8B-amazon-train-loop-1-2025-06-08

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meta-llama/Llama-3.1-8B

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Llama-3.1-8B-amazon-train-loop-1-2025-06-08

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Framework versions

PEFT 0.13.2
Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.0.2
Tokenizers 0.20.1