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llama3-8b-sft-qlora – AI Model by Nike-Hanmatheekuna | AlphaNeural AI

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Nike-Hanmatheekuna/
llama3-8b-sft-qlora

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meta-llama/Meta-Llama-3-8B

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llama3-8b-sft-qlora

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B 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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 6

Training results

Framework versions

PEFT 0.7.1
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1