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qlora_llama3 – AI Model by npark95 | AlphaNeural AI

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npark95/
qlora_llama3

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meta-llama/Llama-3.1-8B-Instruct

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qlora_llama3

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.14.0
Transformers 4.43.1
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.19.1