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x-sensitive-deberta-binary – AI Model by faketut | AlphaNeural AI
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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x-sensitive-deberta-binary
This model is a fine-tuned version of
microsoft/deberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4083
Accuracy: 0.8265
F1: 0.8288
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: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
313
0.3427
0.868
0.8394
0.4389
2.0
626
0.3133
0.88
0.8544
0.4389
3.0
939
0.3608
0.869
0.8540
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.3.0
Tokenizers 0.22.1
