Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
nepali-grammar-20250215_1722 – AI Model by rishikeshgautam | AlphaNeural AI
You can deploy this model and start earning money today!
rishikeshgautam
/
nepali-grammar-20250215_1722
like
0
transformers
safetensors
bert
text-classification
generated_from_trainer
google/muril-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
nepali-grammar-20250215_1722
This model is a fine-tuned version of
google/muril-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2446
Accuracy: 0.9093
F1: 0.9171
Precision: 0.9510
Recall: 0.8856
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: 3e-05
train_batch_size: 64
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.25
1.0
14063
0.2447
0.9036
0.9113
0.9524
0.8736
0.2106
2.0
28126
0.2375
0.9088
0.9167
0.9497
0.8859
0.1811
2.9998
42186
0.2446
0.9093
0.9171
0.9510
0.8856
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
