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@@ -21,8 +21,9 @@ ViLaH (Vision Language Hindi) is a model with 3 billion parameters, fine-tuned f
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  * Model Configuration: Fine-tuned on a single epoch using a V100 gpu.
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  * Training Duration: Approximately one day.
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  * Evaluation Loss: Achieved an eval loss of 1.6384 at the end of the epoch.
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  # Dataset
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  The dataset was finetuned on only one dataset
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  * [damerajee/clean_hin_vqa](https://huggingface.co/datasets/damerajee/clean_hin_vqa) : This dataset was derived from [Lin-Chen/ShareGPT4V](https://huggingface.co/google/paligemma-3b-pt-224) and filtered to include only images from the COCO dataset. The original dataset was translated and cleaned to ensure high-quality Hindi visual question answering content.
 
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  * Model Configuration: Fine-tuned on a single epoch using a V100 gpu.
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  * Training Duration: Approximately one day.
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  * Evaluation Loss: Achieved an eval loss of 1.6384 at the end of the epoch.
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+ * The model is still being train as of right now with better quality dataset
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+ * The model's performance may be compromised due to insufficient data and the fact that it was trained for only one epoch.
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  # Dataset
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  The dataset was finetuned on only one dataset
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  * [damerajee/clean_hin_vqa](https://huggingface.co/datasets/damerajee/clean_hin_vqa) : This dataset was derived from [Lin-Chen/ShareGPT4V](https://huggingface.co/google/paligemma-3b-pt-224) and filtered to include only images from the COCO dataset. The original dataset was translated and cleaned to ensure high-quality Hindi visual question answering content.