---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-hi
tags:
- generated_from_keras_callback
model-index:
- name: rashid996958/Helsinki-shirsh-finetuned-translation-english-to-hindi
  results: []
---

<!-- 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. -->

# rashid996958/Helsinki-shirsh-finetuned-translation-english-to-hindi

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 4.5681
- Train Accuracy: 0.0591
- Validation Loss: 4.3657
- Validation Accuracy: 0.0616
- Epoch: 9

## 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 4.5704     | 0.0591         | 4.3657          | 0.0616              | 0     |
| 4.5693     | 0.0591         | 4.3657          | 0.0616              | 1     |
| 4.5656     | 0.0591         | 4.3657          | 0.0616              | 2     |
| 4.5684     | 0.0591         | 4.3657          | 0.0616              | 3     |
| 4.5659     | 0.0591         | 4.3657          | 0.0616              | 4     |
| 4.5656     | 0.0591         | 4.3657          | 0.0616              | 5     |
| 4.5667     | 0.0591         | 4.3657          | 0.0616              | 6     |
| 4.5665     | 0.0591         | 4.3657          | 0.0616              | 7     |
| 4.5702     | 0.0590         | 4.3657          | 0.0616              | 8     |
| 4.5681     | 0.0591         | 4.3657          | 0.0616              | 9     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.13.0
- Datasets 2.1.0
- Tokenizers 0.14.1