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nepali-grammar-20250215_1706 – AI Model by rishikeshgautam | AlphaNeural AI
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rishikeshgautam
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nepali-grammar-20250215_1706
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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-20250215_1706
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: 0.5204
Accuracy: 0.796
F1: 0.7708
Precision: 0.8795
Recall: 0.686
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
No log
1.0
71
0.6012
0.784
0.7534
0.8777
0.66
No log
2.0
142
0.5418
0.788
0.7529
0.9022
0.646
No log
2.9645
210
0.5204
0.796
0.7708
0.8795
0.686
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
