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JBZhang2342
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speecht5_tts

Text-to-Audio
Transformers
TensorBoard
Safetensors
English
speecht5
en_accent,mozilla,t5,common_voice_1_0
Generated from Trainer
Inference Endpoints
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  1. README.md +46 -51
  2. model.safetensors +1 -1
  3. runs/Dec09_18-57-11_Threadripper/events.out.tfevents.1702166231.Threadripper +3 -0
  4. runs/Dec09_18-57-35_Threadripper/events.out.tfevents.1702166255.Threadripper +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -1,26 +1,21 @@
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  ---
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- language:
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- - en
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  license: mit
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  base_model: microsoft/speecht5_tts
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  tags:
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- - en_accent,mozilla,t5,common_voice_1_0
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  - generated_from_trainer
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- datasets:
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- - mozilla-foundation/common_voice_1_0
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  model-index:
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- - name: SpeechT5 TTS English Accented
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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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  should probably proofread and complete it, then remove this comment. -->
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- # SpeechT5 TTS English Accented
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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 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5154
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  ## Model description
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@@ -51,48 +46,48 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:-----:|:---------------:|
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- | No log | 2.72 | 250 | 0.6947 |
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- | 0.7897 | 5.43 | 500 | 0.5278 |
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- | 0.7897 | 8.15 | 750 | 0.5005 |
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- | 0.5429 | 10.87 | 1000 | 0.4842 |
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- | 0.5429 | 13.59 | 1250 | 0.4830 |
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- | 0.4997 | 16.3 | 1500 | 0.4912 |
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- | 0.4997 | 19.02 | 1750 | 0.4820 |
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- | 0.4712 | 21.74 | 2000 | 0.4835 |
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- | 0.4712 | 24.46 | 2250 | 0.4840 |
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- | 0.4621 | 27.17 | 2500 | 0.4925 |
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- | 0.4621 | 29.89 | 2750 | 0.4855 |
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- | 0.4507 | 32.61 | 3000 | 0.4882 |
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- | 0.4507 | 35.33 | 3250 | 0.5065 |
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- | 0.4445 | 38.04 | 3500 | 0.5033 |
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- | 0.4445 | 40.76 | 3750 | 0.4991 |
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- | 0.4345 | 43.48 | 4000 | 0.4950 |
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- | 0.4345 | 46.2 | 4250 | 0.4986 |
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- | 0.4306 | 48.91 | 4500 | 0.5026 |
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- | 0.4306 | 51.63 | 4750 | 0.4986 |
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- | 0.4272 | 54.35 | 5000 | 0.5048 |
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- | 0.4272 | 57.07 | 5250 | 0.4967 |
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- | 0.4234 | 59.78 | 5500 | 0.5011 |
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- | 0.4234 | 62.5 | 5750 | 0.5017 |
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- | 0.4187 | 65.22 | 6000 | 0.5047 |
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- | 0.4187 | 67.93 | 6250 | 0.5041 |
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- | 0.4188 | 70.65 | 6500 | 0.5064 |
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- | 0.4188 | 73.37 | 6750 | 0.5164 |
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- | 0.4108 | 76.09 | 7000 | 0.5133 |
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- | 0.4108 | 78.8 | 7250 | 0.5086 |
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- | 0.4118 | 81.52 | 7500 | 0.5070 |
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- | 0.4118 | 84.24 | 7750 | 0.5093 |
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- | 0.4082 | 86.96 | 8000 | 0.5155 |
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- | 0.4082 | 89.67 | 8250 | 0.5089 |
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- | 0.407 | 92.39 | 8500 | 0.5134 |
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- | 0.407 | 95.11 | 8750 | 0.5056 |
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- | 0.407 | 97.83 | 9000 | 0.5154 |
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- | 0.407 | 100.54 | 9250 | 0.5108 |
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- | 0.4062 | 103.26 | 9500 | 0.5112 |
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- | 0.4062 | 105.98 | 9750 | 0.5122 |
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- | 0.4052 | 108.7 | 10000 | 0.5154 |
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  ### Framework versions
 
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  ---
 
 
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  license: mit
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  base_model: microsoft/speecht5_tts
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  tags:
 
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  - generated_from_trainer
 
 
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  model-index:
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+ - name: speecht5_tts
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # speecht5_tts
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+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5139
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | No log | 1.92 | 250 | 0.6150 |
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+ | 0.7483 | 3.85 | 500 | 0.5494 |
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+ | 0.7483 | 5.77 | 750 | 0.5001 |
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+ | 0.5482 | 7.69 | 1000 | 0.4861 |
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+ | 0.5482 | 9.62 | 1250 | 0.4792 |
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+ | 0.502 | 11.54 | 1500 | 0.4786 |
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+ | 0.502 | 13.46 | 1750 | 0.4804 |
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+ | 0.4794 | 15.38 | 2000 | 0.4803 |
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+ | 0.4794 | 17.31 | 2250 | 0.4724 |
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+ | 0.4685 | 19.23 | 2500 | 0.4801 |
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+ | 0.4685 | 21.15 | 2750 | 0.4740 |
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+ | 0.4553 | 23.08 | 3000 | 0.4840 |
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+ | 0.4553 | 25.0 | 3250 | 0.4857 |
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+ | 0.4567 | 26.92 | 3500 | 0.4792 |
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+ | 0.4567 | 28.85 | 3750 | 0.4831 |
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+ | 0.445 | 30.77 | 4000 | 0.4884 |
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+ | 0.445 | 32.69 | 4250 | 0.4845 |
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+ | 0.4412 | 34.62 | 4500 | 0.4944 |
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+ | 0.4412 | 36.54 | 4750 | 0.4940 |
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+ | 0.4373 | 38.46 | 5000 | 0.4863 |
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+ | 0.4373 | 40.38 | 5250 | 0.4899 |
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+ | 0.4353 | 42.31 | 5500 | 0.4954 |
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+ | 0.4353 | 44.23 | 5750 | 0.5005 |
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+ | 0.4265 | 46.15 | 6000 | 0.4994 |
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+ | 0.4265 | 48.08 | 6250 | 0.4918 |
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+ | 0.4285 | 50.0 | 6500 | 0.5022 |
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+ | 0.4285 | 51.92 | 6750 | 0.4939 |
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+ | 0.4209 | 53.85 | 7000 | 0.4989 |
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+ | 0.4209 | 55.77 | 7250 | 0.4959 |
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+ | 0.4206 | 57.69 | 7500 | 0.5013 |
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+ | 0.4206 | 59.62 | 7750 | 0.5061 |
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+ | 0.4189 | 61.54 | 8000 | 0.5092 |
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+ | 0.4189 | 63.46 | 8250 | 0.5084 |
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+ | 0.422 | 65.38 | 8500 | 0.5116 |
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+ | 0.422 | 67.31 | 8750 | 0.5115 |
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+ | 0.415 | 69.23 | 9000 | 0.5100 |
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+ | 0.415 | 71.15 | 9250 | 0.5121 |
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+ | 0.4179 | 73.08 | 9500 | 0.5112 |
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+ | 0.4179 | 75.0 | 9750 | 0.5115 |
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+ | 0.4139 | 76.92 | 10000 | 0.5139 |
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  ### Framework versions
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