prepregrammar

This model is a fine-tuned version of PrabalAryal/NepaliGECmodel1 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1570
• Train Accuracy: 0.4940
• Validation Loss: 0.1311
• Validation Accuracy: 0.4962
• Epoch: 2

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:

• optimizer: {'name': 'Adam', 'weight_decay': 1e-05, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.2240	0.4895	0.1638	0.4939	0
0.1747	0.4924	0.1425	0.4953	1
0.1570	0.4940	0.1311	0.4962	2

Framework versions

• Transformers 4.47.0
• TensorFlow 2.17.1
• Datasets 3.3.1
• Tokenizers 0.21.0