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1SV71 – AI Model by gotzmann | AlphaNeural AI

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1SV71

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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 x2 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: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 1.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1