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fine_tuned_prompt_guard – AI Model by xabiman12 | AlphaNeural AI
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xabiman12
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fine_tuned_prompt_guard
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
meta-llama/Prompt-Guard-86M
finetune
llama3.1
autotrain_compatible
endpoints_compatible
us
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fine_tuned_prompt_guard
This model is a fine-tuned version of
meta-llama/Prompt-Guard-86M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0658
Accuracy: 0.982
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: 16
eval_batch_size: 8
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
32
0.1427
0.956
No log
2.0
64
0.0773
0.97
No log
3.0
96
0.0658
0.982
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cpu
Datasets 2.16.1
Tokenizers 0.20.3
