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---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-hi
tags:
- generated_from_keras_callback
model-index:
- name: en-ne
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. -->
# en-ne
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: 1.3328
- Validation Loss: 1.5832
- Epoch: 5
## Model description
More information needed
## Intended uses & limitations
More information needed
### BLEU Score
The model achieves a BLEU score of **14.83** on the `test` split of the `BeebekBhz/en-ne` dataset.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-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 | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.6327 | 2.0059 | 0 |
| 1.9273 | 1.7883 | 1 |
| 1.6957 | 1.6886 | 2 |
| 1.5456 | 1.6348 | 3 |
| 1.4287 | 1.6065 | 4 |
| 1.3328 | 1.5832 | 5 |
### Framework versions
- Transformers 4.47.1
- TensorFlow 2.17.1
- Datasets 3.3.2
- Tokenizers 0.21.0
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