Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-finetuned-hausa – AI Model by grace-pro | AlphaNeural AI
You can deploy this model and start earning money today!
grace-pro
/
bert-finetuned-hausa
like
0
transformers
pytorch
tensorboard
bert
token-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-finetuned-hausa
This model is a fine-tuned version of
bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1505
Precision: 0.6680
Recall: 0.4474
F1: 0.5359
Accuracy: 0.9557
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
Precision
Recall
F1
Accuracy
0.1683
1.0
2624
0.1589
0.6480
0.3641
0.4663
0.9513
0.1446
2.0
5248
0.1509
0.6658
0.4147
0.5111
0.9543
0.1163
3.0
7872
0.1505
0.6680
0.4474
0.5359
0.9557
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
