AbhirupGhosh
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README.md
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: opus-mt-finetuned-hi-en
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results: []
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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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# opus-mt-finetuned-hi-en
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-hi-en](https://huggingface.co/Helsinki-NLP/opus-mt-hi-en) on
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It achieves the following results on the evaluation set:
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## Model description
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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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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer:
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- training_precision: float32
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### Training results
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- TensorFlow 2.8.2
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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---
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license: apache-2.0
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tags:
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- translation
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- Hindi
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- generated_from_keras_callback
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model-index:
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- name: opus-mt-finetuned-hi-en
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results: []
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---
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# opus-mt-finetuned-hi-en
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-hi-en](https://huggingface.co/Helsinki-NLP/opus-mt-hi-en) on [HindiEnglish Corpora](https://www.clarin.eu/resource-families/parallel-corpora)
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## Model description
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The model is a transformer model similar to the [Transformer](https://arxiv.org/abs/1706.03762?context=cs) as defined in Attention Is All You Need et al
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## Training and evaluation data
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## Training procedure
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The model was trained on 2 NVIDIA_TESLA_A100 GPU's on Google's vertex AI platform.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: AdamWeightDecay
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- training_precision: float32
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### Training results
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- TensorFlow 2.8.2
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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