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llama_lora_0.0005 – AI Model by abdesedd | AlphaNeural AI

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llama_lora_0.0005

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meta-llama/Llama-3.1-8B

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llama_lora_0.0005

This model is a fine-tuned version of meta-llama/Llama-3.1-8B 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: 0.0005
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 2

Training results

Framework versions

PEFT 0.12.0
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.20.3