Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
bert-base-multilingual-cased-finetuned-langtok – AI Model by emmabedna | AlphaNeural AI
You can deploy this model and start earning money today!
emmabedna
/
bert-base-multilingual-cased-finetuned-langtok
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-langtok
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: 0.0381
Precision: 0.9016
Recall: 0.9159
F1: 0.9087
Accuracy: 0.9903
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: 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
0.0695
1.0
1204
0.0462
0.8767
0.8974
0.8870
0.9872
0.0358
2.0
2408
0.0425
0.8822
0.9083
0.8950
0.9886
0.0178
3.0
3612
0.0381
0.9016
0.9159
0.9087
0.9903
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
