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1JV32 – AI Model by gotzmann | AlphaNeural AI

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gotzmann/
1JV32

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NousResearch/Meta-Llama-3.1-8B-Instruct

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This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on the final 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: 8e-05
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
num_epochs: 1.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1