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meta-llama-Llama-3.2-3B-2024-11-11-checkpoints – AI Model by Phoenix21 | AlphaNeural AI
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meta-llama-Llama-3.2-3B-2024-11-11-checkpoints
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-3B
adapter
llama3.2
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meta-llama-Llama-3.2-3B-2024-11-11-checkpoints
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Use adamw_torch 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: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.13.2
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
