Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
bert-action-ro – AI Model by LibrAI | AlphaNeural AI
You can deploy this model and start earning money today!
LibrAI
/
bert-action-ro
like
0
transformers
pytorch
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-action-ro
This model is a fine-tuned version of
bert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1567
Accuracy: 0.958
Precision: 0.949
Recall: 0.941
F1: 0.944
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: 64
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
No log
1.0
89
0.3700
0.876
0.836
0.809
0.815
No log
2.0
178
0.2057
0.936
0.927
0.924
0.924
No log
3.0
267
0.1567
0.958
0.949
0.941
0.944
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3
