Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-multilingual-cased-finetuned – AI Model by nuttakitinta | AlphaNeural AI
You can deploy this model and start earning money today!
nuttakitinta
/
bert-base-multilingual-cased-finetuned
like
0
transformers
tensorboard
safetensors
bert
fill-mask
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
This model is a fine-tuned version of
google-bert/bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3076
Model Preparation Time: 0.0026
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use 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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
0.6124
1.0
15625
0.4339
0.0026
0.4454
2.0
31250
0.3679
0.0026
0.3927
3.0
46875
0.3362
0.0026
0.3631
4.0
62500
0.3167
0.0026
0.3462
5.0
78125
0.3066
0.0026
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0
