Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
qard-bert-base-uncased – AI Model by kaisar-barlybay-sse | AlphaNeural AI
You can deploy this model and start earning money today!
kaisar-barlybay-sse
/
qard-bert-base-uncased
like
0
transformers
pytorch
tensorboard
bert
multiple-choice
generated_from_trainer
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
qard-bert-base-uncased
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3863
Accuracy: 0.3333
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.3884
1.0
501
1.3800
0.2894
1.3929
2.0
1002
1.3863
0.2435
1.392
3.0
1503
1.3863
0.3034
1.3906
4.0
2004
1.3863
0.3234
1.3816
5.0
2505
1.3863
0.3373
1.3904
6.0
3006
1.3863
0.3333
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
