Tejasva-Maurya
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README.md
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@@ -5,10 +5,12 @@ base_model: microsoft/speecht5_tts
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_17_0
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model-index:
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- name: Hindi_SpeechT5_finetuned
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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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@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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# Hindi_SpeechT5_finetuned
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_17_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4524
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.0.2
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- Tokenizers 0.19.1
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tags:
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_17_0
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model-index:
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- name: Hindi_SpeechT5_finetuned
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results: []
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language:
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- hi
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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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# Hindi_SpeechT5_finetuned
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Validated split of Hindi data of [common_voice_17_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4524
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.0.2
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- Tokenizers 0.19.1
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