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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: eng-hin-translator
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# eng-hin-translator
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4143
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- Bleu Score: 34.2532
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu Score |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|
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| 1.7332 | 1.0 | 548 | 1.5131 | 31.6167 |
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| 1.3588 | 2.0 | 1096 | 1.4463 | 33.0225 |
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| 1.1651 | 3.0 | 1644 | 1.4209 | 34.0514 |
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| 1.042 | 4.0 | 2192 | 1.4139 | 34.0137 |
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| 0.9686 | 5.0 | 2740 | 1.4143 | 34.2532 |
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### Framework versions
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- Transformers 4.21.2
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- Pytorch 1.12.1
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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