test_model

This model is a fine-tuned version of ai4bharat/indic-bert on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5251
• Accuracy: 0.7788

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	65	0.5317	0.7788
No log	2.0	130	0.5251	0.7788

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cpu
• Datasets 2.17.0
• Tokenizers 0.19.1