Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
kaggle-math – AI Model by avinasht | AlphaNeural AI
You can deploy this model and start earning money today!
avinasht
/
kaggle-math
like
0
safetensors
deberta-v2
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
kaggle-math
This model is a fine-tuned version of
microsoft/deberta-v3-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6024
Accuracy: 0.8204
F1: 0.8204
Precision: 0.8204
Recall: 0.8204
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: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.6125
1.0
680
0.8193
0.7782
0.7782
0.7782
0.7782
0.5557
2.0
1360
0.6190
0.7998
0.7998
0.7998
0.7998
0.4949
3.0
2040
0.6024
0.8204
0.8204
0.8204
0.8204
Framework versions
Transformers 4.38.0
Pytorch 2.5.1+cu118
Datasets 3.2.0
Tokenizers 0.15.2
