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roberta-urdu-small-finetuned-news – AI Model by SyedArsal | AlphaNeural AI
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SyedArsal
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roberta-urdu-small-finetuned-news
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transformers
pytorch
tensorboard
roberta
multiple-choice
generated_from_trainer
mit
endpoints_compatible
us
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roberta-urdu-small-finetuned-news
This model is a fine-tuned version of
urduhack/roberta-urdu-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2702
Accuracy: 0.9482
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5949
1.0
938
0.3626
0.9029
0.1351
2.0
1876
0.2545
0.9389
0.0281
3.0
2814
0.2702
0.9482
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
