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nepali_gov_complaints_classification – AI Model by nadika | AlphaNeural AI
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nadika
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nepali_gov_complaints_classification
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transformers
safetensors
bert
text-classification
generated_from_trainer
Rajan/NepaliBERT
finetune
autotrain_compatible
endpoints_compatible
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nepali_gov_complaints_classification
This model is a fine-tuned version of
Rajan/NepaliBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2385
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.5465
1.0
2244
0.4318
0.2461
2.0
4488
0.2543
0.16
3.0
6732
0.2385
0.0621
4.0
8976
0.2388
0.1181
5.0
11220
0.2503
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2