End of training
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README.md
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- Bengali
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- generated_from_trainer
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datasets:
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model-index:
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- name: SpeechT5-tuned-bn
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results: []
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# SpeechT5-tuned-bn
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.612 | 1.6256 | 900 | 0.5821 |
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| 0.6129 | 1.8063 | 1000 | 0.5774 |
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| 0.6155 | 1.9869 | 1100 | 0.5744 |
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| 0.6056 | 2.1675 | 1200 | 0.5743 |
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| 0.5957 | 2.3482 | 1300 | 0.5735 |
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| 0.5928 | 2.5288 | 1400 | 0.5663 |
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| 0.5974 | 2.7094 | 1500 | 0.5599 |
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| 0.5927 | 2.8900 | 1600 | 0.5604 |
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### Framework versions
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- Bengali
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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: SpeechT5-tuned-bn
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results: []
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# SpeechT5-tuned-bn
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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: 0.5380
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 5.7672 | 0.3546 | 100 | 0.6430 |
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| 5.3154 | 0.7092 | 200 | 0.5943 |
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| 5.029 | 1.0638 | 300 | 0.5809 |
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| 4.8831 | 1.4184 | 400 | 0.5615 |
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| 4.8238 | 1.7730 | 500 | 0.5576 |
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| 4.7422 | 2.1277 | 600 | 0.5473 |
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| 4.6708 | 2.4823 | 700 | 0.5440 |
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| 4.6247 | 2.8369 | 800 | 0.5380 |
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### Framework versions
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model.safetensors
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runs/Oct18_09-03-40_e19f95cc87a7/events.out.tfevents.1729242224.e19f95cc87a7.621.0
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