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llama-guard-custom – AI Model by IronMan70ny | AlphaNeural AI
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IronMan70ny
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llama-guard-custom
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peft
safetensors
generated_from_trainer
meta-llama/Meta-Llama-Guard-2-8B
adapter
llama3
us
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llama-guard-custom
This model is a fine-tuned version of
meta-llama/Meta-Llama-Guard-2-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6822
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: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
2
1.7190
No log
2.0
4
1.7047
No log
3.0
6
1.6822
Framework versions
PEFT 0.15.2
Transformers 4.52.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1