urdu-sarcastic-xlm-roberta – AI Model by UmairHere | AlphaNeural AI

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UmairHere/
urdu-sarcastic-xlm-roberta

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

endpoints_compatible

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urdu-sarcastic-xlm-roberta

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4318
Accuracy: 0.8290
F1: 0.8082
Precision: 0.7615
Recall: 0.8610

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: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	396	0.4578	0.8011	0.7897	0.7085	0.8920
0.4736	2.0	792	0.3955	0.8236	0.8042	0.7510	0.8656
0.4075	3.0	1188	0.4346	0.8347	0.8032	0.8005	0.8059
0.3340	4.0	1584	0.4210	0.8353	0.8088	0.7866	0.8323
0.3340	5.0	1980	0.4318	0.8290	0.8082	0.7615	0.8610

Framework versions

Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2