Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-multilingual-cased-finetuned-language_classification – AI Model by emmabedna | AlphaNeural AI
You can deploy this model and start earning money today!
emmabedna
/
bert-base-multilingual-cased-finetuned-language_classification
like
0
transformers
safetensors
bert
token-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-multilingual-cased-finetuned-language_classification
This model is a fine-tuned version of
bert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0876
Precision: 0.8954
Recall: 0.9009
F1: 0.8982
Accuracy: 0.9785
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: 10
eval_batch_size: 10
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
No log
1.0
150
0.1431
0.8415
0.8390
0.8402
0.9649
No log
2.0
300
0.0927
0.8878
0.8905
0.8892
0.9767
No log
3.0
450
0.0876
0.8954
0.9009
0.8982
0.9785
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
