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bart-vanilla-nepali – AI Model by kiranpantha | AlphaNeural AI
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bart-vanilla-nepali
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bart-vanilla-nepali
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6511
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
1.9017
1.0
684
1.9019
1.6948
2.0
1368
1.6511
Framework versions
Transformers 4.47.1
Pytorch 2.6.0+xpu
Datasets 3.2.0
Tokenizers 0.21.0
