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llama-3.2-identity-2 – AI Model by SriSanth2345 | AlphaNeural AI
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llama-3.2-identity-2
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meta-llama/Llama-3.2-1B-Instruct
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train_2025-02-05-14-26-53
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on the identity 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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: cosine
num_epochs: 3.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.48.2
Pytorch 2.4.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0