Solo female tourists in India often face communication barriers due to formal or outdated translations. This can lead to misunderstandings, frustration, and even safety concerns. Therefore, a model designed just for them that translates your english text into hindi colloquial.

Training and evaluation data

batch_size = 16 learning_rate = 5e-5 weight_decay = 0.01 num_train_epochs = 15

Training hyperparameters

The following hyperparameters were used during training:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Epoch
2.7680	0
1.7672	1
1.2098	2
0.9267	3
0.6953	4
0.5534	5
0.4267	6
0.3309	7
0.2949	8
0.2394	9
0.2157	10
0.1717	11
0.1564	12
0.1278	13
0.1119	14

Framework versions

Transformers 4.48.3
TensorFlow 2.18.0
Datasets 3.3.2
Tokenizers 0.21.0

nashrah18/indian_translatorv1

indian_translatorv1

Model description

Training and evaluation data

Training hyperparameters

Training results

Framework versions

nashrah18/
indian_translatorv1