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nepali-grammar-error-detection-20250311_1323 – AI Model by rishikeshgautam | AlphaNeural AI
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rishikeshgautam
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nepali-grammar-error-detection-20250311_1323
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transformers
safetensors
bert
text-classification
generated_from_trainer
google/muril-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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nepali-grammar-error-detection-20250311_1323
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: 0.3772
Accuracy: 0.8515
F1: 0.8383
Precision: 0.9198
Recall: 0.7701
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
0.3841
1.0
2695
0.3712
0.8376
0.8189
0.9253
0.7344
0.3251
2.0
5390
0.3733
0.8497
0.8339
0.9316
0.7547
0.2786
3.0
8085
0.3772
0.8515
0.8383
0.9198
0.7701
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
