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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-hi |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: indian_translatorv1 |
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results: [] |
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datasets: |
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- nashrah18/indiantranslator |
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language: |
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- en |
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- hi |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# indian_translatorv1 |
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This model is a fine-tuned version model on indiantranslator dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1119 |
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- Epoch: 14 |
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## Model description |
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Solo female tourists in India often face communication barriers due to formal or outdated translations. |
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This can lead to misunderstandings, frustration, and even safety concerns. |
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Therefore, a model designed just for them that translates your english text into hindi colloquial. |
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## Training and evaluation data |
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batch_size = 16 |
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learning_rate = 5e-5 |
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weight_decay = 0.01 |
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num_train_epochs = 15 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Epoch | |
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|:----------:|:-----:| |
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| 2.7680 | 0 | |
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| 1.7672 | 1 | |
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| 1.2098 | 2 | |
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| 0.9267 | 3 | |
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| 0.6953 | 4 | |
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| 0.5534 | 5 | |
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| 0.4267 | 6 | |
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| 0.3309 | 7 | |
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| 0.2949 | 8 | |
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| 0.2394 | 9 | |
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| 0.2157 | 10 | |
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| 0.1717 | 11 | |
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| 0.1564 | 12 | |
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| 0.1278 | 13 | |
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| 0.1119 | 14 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- TensorFlow 2.18.0 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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