Update README.md

README.md

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 # speecht5_finetuned_emirhan_tr
 
-This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on [erenfazlioglu/turkishvoicedataset](https://huggingface.co/datasets/erenfazlioglu/turkishvoicedataset)
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on [erenfazlioglu/turkishvoicedataset](https://huggingface.co/datasets/erenfazlioglu/turkishvoicedataset).
 It achieves the following results on the evaluation set:
 - Loss: 0.3135
 
 ## Model description
 
-More information needed
+The base model uses a transformer-based approach, specifically Transfer Transformer, to generate high-quality speech from text. The fine-tuning process on the Turkish Voice Dataset enables the model to produce more natural and accurate speech in Turkish.
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended for text-to-speech (TTS) applications specifically tailored for the Turkish language. It can be used in various scenarios, such as voice assistants, automated announcements, and accessibility tools for Turkish speakers.
 
 ## Training and evaluation data
 
-More information needed
+The model's performance is optimized for Turkish and may not generalize well to other languages.
+The model might not handle rare or domain-specific vocabulary as effectively as more common words.
 
 ## Training procedure
 
+The model was fine-tuned on the Turkish Voice Dataset, which consists of high-quality synthetic Turkish voice recordings from Microsoft Azure. The dataset was split into training and evaluation subsets, with the evaluation set used to measure the model's loss and overall performance.
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 ### Training hyperparameters
 
 The following hyperparameters were used during training: