Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
results – AI Model by CarmelKron | AlphaNeural AI
You can deploy this model and start earning money today!
CarmelKron
/
results
like
0
transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
results
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: 0.5316
Accuracy: 0.8612
F1: 0.8606
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: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 500
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.9518
1.0
2058
0.5721
0.7884
0.7883
0.4667
2.0
4116
0.5076
0.8389
0.8382
0.3336
3.0
6174
0.4843
0.8562
0.8556
0.2521
4.0
8232
0.5316
0.8612
0.8606
Framework versions
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
