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grievance_classification – AI Model by Ashwini1412 | AlphaNeural AI
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Ashwini1412
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grievance_classification
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transformers
safetensors
bert
text-classification
generated_from_trainer
Rajan/NepaliBERT
finetune
autotrain_compatible
endpoints_compatible
us
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grievance_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: 0.4610
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: 5e-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: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.4395
1.0
2244
0.5841
0.5733
2.0
4488
0.4806
0.2958
3.0
6732
0.4610
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
