Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-wnli-5-epochs-2025-06-13-0700 – AI Model by ekiprop | AlphaNeural AI
You can deploy this model and start earning money today!
ekiprop
/
bert-wnli-5-epochs-2025-06-13-0700
like
0
transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-wnli-5-epochs-2025-06-13-0700
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1930
Accuracy: 0.1268
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
40
1.7928
0.1549
No log
2.0
80
2.3248
0.1408
No log
3.0
120
2.3537
0.1127
No log
4.0
160
2.2254
0.1408
No log
5.0
200
2.1930
0.1268
Framework versions
Transformers 4.46.2
Pytorch 2.2.1+cu121
Datasets 3.6.0
Tokenizers 0.20.3
