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punjab_bert – AI Model by khushkaran | AlphaNeural AI
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khushkaran
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punjab_bert
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
cc-by-4.0
autotrain_compatible
endpoints_compatible
us
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punjab_bert
This model is a fine-tuned version of
l3cube-pune/punjabi-bert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.7311
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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
3.8977
1.0
998
3.7757
3.7502
2.0
1996
3.7404
3.7475
3.0
2994
3.7493
3.7423
4.0
3992
3.7376
3.731
5.0
4990
3.7338
3.7254
6.0
5988
3.7195
3.7213
7.0
6986
3.7129
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
