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llama321B_SA – AI Model by YousraC | AlphaNeural AI

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YousraC/
llama321B_SA

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meta-llama/Llama-3.2-1B

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llama321B_SA

This model is a fine-tuned version of meta-llama/Llama-3.2-1B 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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
mixed_precision_training: Native AMP

Framework versions

PEFT 0.14.1.dev0
Transformers 4.48.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0