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consequence-model-2025-11-03_12.51.52 – AI Model by BenediktSchuck | AlphaNeural AI

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consequence-model-2025-11-03_12.51.52

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meta-llama/Llama-3.1-8B

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consequence-model-2025-11-03_12.51.52

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B 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: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.4