Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-large-uncased-detect-dep – AI Model by Trong-Nghia | AlphaNeural AI
You can deploy this model and start earning money today!
Trong-Nghia
/
bert-large-uncased-detect-dep
like
0
transformers
pytorch
tensorboard
bert
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
bert-large-uncased-detect-dep
This model is a fine-tuned version of
bert-large-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5443
Accuracy: 0.751
F1: 0.8207
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-06
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.624
1.0
1502
0.5375
0.737
0.8182
0.5855
2.0
3004
0.5443
0.751
0.8207
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
