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nepali_complaints_classification_muril – AI Model by nadika | AlphaNeural AI
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nadika
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nepali_complaints_classification_muril
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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_complaints_classification_muril
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: 0.2424
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
lr_scheduler_warmup_steps: 1000
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.916
1.0
2244
0.7103
0.2725
2.0
4488
0.3206
0.1678
3.0
6732
0.2685
0.204
4.0
8976
0.2424
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
