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deberta-v3-base-touche-base-binary – AI Model by heavyhelium | AlphaNeural AI
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deberta-v3-base-touche-base-binary
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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deberta-v3-base-touche-base-binary
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6938
Accuracy: 0.5
Macro F1: 0.3333
Fallacy F1: 0.6667
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: 32
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Macro F1
Fallacy F1
0.6860
1.0
93
0.7136
0.5
0.3333
0.6667
0.7369
2.0
186
0.6932
0.5
0.3333
0.6667
0.6984
3.0
279
0.6938
0.5
0.3333
0.6667
Framework versions
Transformers 5.9.0
Pytorch 2.11.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
