Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-riddle-finetuned1 – AI Model by shirzady1934 | AlphaNeural AI
You can deploy this model and start earning money today!
shirzady1934
/
bert-riddle-finetuned1
like
0
transformers
tensorboard
safetensors
bert
multiple-choice
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-riddle-finetuned1
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: 0.6316
Accuracy: 0.875
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: 0.0001
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
23
0.7142
0.7750
No log
2.0
46
0.5796
0.8250
No log
3.0
69
0.5725
0.8000
No log
4.0
92
0.6484
0.8500
No log
5.0
115
0.6316
0.875
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
