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llama3-8b-sft-qlora-re-FT_filter – AI Model by mirajanata | AlphaNeural AI

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mirajanata/
llama3-8b-sft-qlora-re-FT_filter

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

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llama3-8b-sft-qlora-re-FT_filter

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1