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experiemnts – AI Model by amarard | AlphaNeural AI

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amarard/
experiemnts

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NousResearch/Meta-Llama-3-8B

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experiemnts

This model is a fine-tuned version of NousResearch/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.6667
eval_runtime: 85.9166
eval_samples_per_second: 11.639
eval_steps_per_second: 1.455
epoch: 0.8005
step: 5184

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: 0.0003
train_batch_size: 1
eval_batch_size: 8
seed: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1