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Llama-3.1-8B-Instruct-EI1-120K-fix-32gpus-01 – AI Model by qfq | AlphaNeural AI

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Llama-3.1-8B-Instruct-EI1-120K-fix-32gpus-01

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

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Llama-3.1-8B-Instruct-EI1-120K-fix-32gpus-01

This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-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: 6e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 32
total_train_batch_size: 64
total_eval_batch_size: 256
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2.0

Training results

Framework versions

Transformers 4.43.4
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.19.1