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clearpolicy-llama-3-8binstruct-v3 – AI Model by andre-fichel | AlphaNeural AI | AlphaNeural AI

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clearpolicy-llama-3-8binstruct-v3

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NousResearch/Meta-Llama-3-8B-Instruct

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clearpolicy-llama-3-8binstruct-v3

This model is a fine-tuned version of NousResearch/Meta-Llama-3-8B-Instruct on the generator 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1