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Llama-3.1-8B_long – AI Model by BEAT-LLM-Backdoor | AlphaNeural AI

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Llama-3.1-8B_long

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meta-llama/Llama-3.1-8B-Instruct

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Llama-3.1-8B_long

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct.

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
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 16
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Framework versions

Transformers 4.43.3
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1