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llama-3.2-1B-finetuned – AI Model by iyashnayi | AlphaNeural AI
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iyashnayi
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llama-3.2-1B-finetuned
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-1B
adapter
llama3.2
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llama-3.2-1B-finetuned
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1537
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: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.0
