---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-hi
tags:
- generated_from_keras_callback
model-index:
- name: indian_translatorv1
  results: []
datasets:
- nashrah18/indiantranslator
language:
- en
- hi
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# indian_translatorv1

This model is a fine-tuned version model on indiantranslator dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1119
- Epoch: 14

## Model description

Solo female tourists in India often face communication barriers due to formal or outdated translations.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