Nebaee/stage1_binary_checkpoints
020
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stage1binarycheckpoints
This model is a fine-tuned version of meta-llama/Llama-Prompt-Guard-2-22M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1929
- F1: 0.9596
- Accuracy: 0.964
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
- trainbatchsize: 2
- evalbatchsize: 4
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 4
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- num_epochs: 1
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cpu
- Datasets 4.0.0
- Tokenizers 0.23.1