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llama3-qwantz-gen – AI Model by paul-stansifer | AlphaNeural AI

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paul-stansifer/
llama3-qwantz-gen

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unsloth/llama-3-8b-bnb-4bit

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llama3-qwantz-gen

This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.4032
eval_runtime: 305.3925
eval_samples_per_second: 0.508
eval_steps_per_second: 0.128
epoch: 0.8052
step: 248

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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

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