Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
results – AI Model by jose051096 | AlphaNeural AI
You can deploy this model and start earning money today!
jose051096
/
results
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
results
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: 0.4140
Accuracy: 0.858
Precision: 0.8014
Recall: 0.9426
F1: 0.8663
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.3078
1.0
250
0.4140
0.858
0.8014
0.9426
0.8663
0.1839
2.0
500
0.4630
0.893
0.8629
0.9283
0.8944
0.0066
3.0
750
0.4632
0.907
0.9089
0.8996
0.9042
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.2
