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results – AI Model by palash247 | AlphaNeural AI
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transformers
onnx
safetensors
deberta-v2
text-classification
generated_from_trainer
protectai/deberta-v3-base-prompt-injection-v2
quantized
apache-2.0
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
protectai/deberta-v3-base-prompt-injection-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5060
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.6064
1.0
54
1.6097
1.62
2.0
108
1.6100
1.6059
3.0
162
1.6076
1.5734
4.0
216
1.5249
1.5444
5.0
270
1.5060
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
