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noice_bias_25_constrained – AI Model by jkazdan | AlphaNeural AI

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jkazdan/
noice_bias_25_constrained

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

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noice_bias_25_constrained

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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1

Training results

Framework versions

Transformers 4.40.2
Pytorch 2.8.0+cu128
Datasets 4.4.1
Tokenizers 0.19.1