results_slang

This model is a fine-tuned version of l3cube-pune/hing-bert-lid on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2250
• Precision: 1.0
• Recall: 0.2
• F1: 0.3333
• Accuracy: 0.4

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: 16
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	1	1.0981	0.3333	0.25	0.2857	0.5
No log	2.0	2	1.0697	0.3333	0.25	0.2857	0.5
No log	3.0	3	1.0551	0.3333	0.25	0.2857	0.5

Framework versions

• Transformers 4.57.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1