Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
DSChallengeWeightDecay – AI Model by leonardosaveri | AlphaNeural AI
You can deploy this model and start earning money today!
leonardosaveri
/
DSChallengeWeightDecay
like
0
transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
DSChallengeWeightDecay
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4742
Accuracy: 0.9199
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.049
1.0
746
0.4537
0.9152
0.0204
2.0
1492
0.4742
0.9199
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
