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Oysiyl
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speecht5_tts_common_voice_uk

Text-to-Speech
Transformers
Safetensors
Ukrainian
speecht5
text-to-audio
Generated from Trainer
Inference Endpoints
Model card Files Community
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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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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_16_1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4211
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  ## Model description
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@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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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: 100
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.8081 | 0.99 | 130 | 0.5394 |
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- | 0.5563 | 1.98 | 260 | 0.4533 |
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- | 0.5041 | 2.98 | 390 | 0.4468 |
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- | 0.4962 | 3.97 | 520 | 0.4628 |
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- | 0.495 | 4.96 | 650 | 0.4335 |
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- | 0.4777 | 5.95 | 780 | 0.4259 |
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- | 0.4752 | 6.95 | 910 | 0.4234 |
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- | 0.4673 | 7.94 | 1040 | 0.4229 |
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- | 0.4741 | 8.93 | 1170 | 0.4232 |
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- | 0.4666 | 9.92 | 1300 | 0.4211 |
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  ### Framework versions
 
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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_16_1 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4175
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  ## Model description
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  - seed: 42
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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: 500
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.8979 | 1.0 | 146 | 0.6939 |
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+ | 0.7148 | 2.0 | 292 | 0.4864 |
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+ | 0.5449 | 3.0 | 438 | 0.4567 |
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+ | 0.5229 | 4.0 | 584 | 0.4548 |
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+ | 0.5049 | 5.0 | 730 | 0.4294 |
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+ | 0.4865 | 6.0 | 876 | 0.4281 |
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+ | 0.4751 | 7.0 | 1022 | 0.4234 |
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+ | 0.4706 | 8.0 | 1168 | 0.4201 |
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+ | 0.4683 | 9.0 | 1314 | 0.4194 |
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+ | 0.4667 | 10.0 | 1460 | 0.4175 |
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  ### Framework versions
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