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Llama-3.2-1B-Instruct-injection-benchmark-distill – AI Model by Grogros | AlphaNeural AI
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Llama-3.2-1B-Instruct-injection-benchmark-distill
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transformers
safetensors
llama
text-generation
generated_from_trainer
conversational
meta-llama/Llama-3.2-1B
finetune
llama3.2
text-generation-inference
endpoints_compatible
us
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Llama-3.2-1B-Instruct-injection-benchmark-distill
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on the None 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: 2e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2000
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu129
Datasets 4.4.1
Tokenizers 0.22.1
