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README.md
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---
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license:
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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# speecht5_finetuned_voxpopuli_en
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This model is a fine-tuned version of [
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.7161 | 0.35 | 30 | 0.6375 |
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### Framework versions
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license: apache-2.0
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base_model: speechbrain/spkrec-xvect-voxceleb
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tags:
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- generated_from_trainer
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datasets:
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# speecht5_finetuned_voxpopuli_en
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This model is a fine-tuned version of [speechbrain/spkrec-xvect-voxceleb](https://huggingface.co/speechbrain/spkrec-xvect-voxceleb) on the facebook/voxpopuli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6952
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- training_steps: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.7848 | 0.12 | 10 | 0.7479 |
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| 0.7404 | 0.24 | 20 | 0.6952 |
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### Framework versions
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