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arena-safeguards-v2 – AI Model by H1R0T | AlphaNeural AI
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arena-safeguards-v2
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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arena-safeguards-v2
This model is a fine-tuned version of
microsoft/deberta-v3-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
Fp Rate: 0.0
Fn Rate: 1.0
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: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Fp Rate
Fn Rate
No log
1.0
207
nan
0.0
1.0
No log
2.0
414
nan
0.0
1.0
0.7200
3.0
621
nan
0.0
1.0
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
