Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
deberta-corporate – AI Model by BharathP08 | AlphaNeural AI
You can deploy this model and start earning money today!
BharathP08
/
deberta-corporate
like
0
peft
safetensors
adapter
lora
transformers
microsoft/deberta-v3-base
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
deberta-corporate
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: 3.0587
Accuracy: 0.346
Precision: 0.3627
Recall: 0.346
F1: 0.3137
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: 5e-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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
3.1779
1.0
500
3.1413
0.3035
0.3649
0.3035
0.2694
3.0702
2.0
1000
3.0587
0.346
0.3627
0.346
0.3137
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
