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llama-3-8B-Intruct-ft – AI Model by RayBernard | AlphaNeural AI

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RayBernard/
llama-3-8B-Intruct-ft

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

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llama-3-8B-Intruct-ft

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-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: 3e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 128
mixed_precision_training: Native AMP

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0.post2+cxx11.abi
Datasets 2.19.2
Tokenizers 0.19.1