Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
navid_test_bert – AI Model by navsad | AlphaNeural AI
You can deploy this model and start earning money today!
navsad
/
navid_test_bert
like
0
transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
navid_test_bert
This model is a fine-tuned version of
bert-base-cased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.8149
Matthews Correlation: 0.5834
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
0.4598
1.0
1069
0.4919
0.5314
0.3228
2.0
2138
0.6362
0.5701
0.17
3.0
3207
0.8149
0.5834
Framework versions
Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.2
Tokenizers 0.11.0
