UrduSentimentClassification

This model is a fine-tuned version of urduhack/roberta-urdu-small on Financial dataset. It achieves the following results on the evaluation set:

• Loss: 0.4924

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• 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
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.4931	1.96	500	0.5585
0.2415	3.92	1000	0.3782
0.1116	5.88	1500	0.6486
0.0357	7.84	2000	0.4853
0.0101	9.8	2500	0.4924

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0