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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 +47 -52
  2. model.safetensors +1 -1
  3. runs/Dec08_19-15-58_Threadripper/events.out.tfevents.1702080958.Threadripper +3 -0
  4. runs/Dec09_16-01-16_Threadripper/events.out.tfevents.1702155677.Threadripper +3 -0
  5. runs/Dec09_18-05-39_Threadripper/events.out.tfevents.1702163140.Threadripper +3 -0
  6. runs/Dec09_18-17-07_Threadripper/events.out.tfevents.1702163827.Threadripper +3 -0
  7. 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: 0.4937
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  ## Model description
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@@ -51,53 +46,53 @@ 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 | 0.01 | 250 | 0.6600 |
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- | 0.8131 | 0.01 | 500 | 0.6203 |
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- | 0.8131 | 0.02 | 750 | 0.5819 |
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- | 0.6493 | 0.03 | 1000 | 0.5436 |
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- | 0.6493 | 0.03 | 1250 | 0.5372 |
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- | 0.5998 | 0.04 | 1500 | 0.5411 |
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- | 0.5998 | 0.04 | 1750 | 0.5351 |
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- | 0.585 | 0.05 | 2000 | 0.5260 |
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- | 0.585 | 0.06 | 2250 | 0.5254 |
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- | 0.5778 | 0.06 | 2500 | 0.5217 |
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- | 0.5778 | 0.07 | 2750 | 0.5229 |
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- | 0.5667 | 0.07 | 3000 | 0.5115 |
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- | 0.5667 | 0.08 | 3250 | 0.5143 |
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- | 0.5692 | 0.09 | 3500 | 0.5143 |
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- | 0.5692 | 0.09 | 3750 | 0.5130 |
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- | 0.5607 | 0.1 | 4000 | 0.5082 |
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- | 0.5607 | 0.11 | 4250 | 0.5141 |
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- | 0.5601 | 0.11 | 4500 | 0.5103 |
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- | 0.5601 | 0.12 | 4750 | 0.5065 |
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- | 0.5569 | 0.12 | 5000 | 0.5048 |
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- | 0.5569 | 0.13 | 5250 | 0.5018 |
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- | 0.5552 | 0.14 | 5500 | 0.5006 |
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- | 0.5552 | 0.14 | 5750 | 0.5074 |
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- | 0.5548 | 0.15 | 6000 | 0.5045 |
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- | 0.5548 | 0.16 | 6250 | 0.5021 |
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- | 0.5563 | 0.16 | 6500 | 0.4996 |
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- | 0.5563 | 0.17 | 6750 | 0.4982 |
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- | 0.5527 | 0.17 | 7000 | 0.4982 |
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- | 0.5527 | 0.18 | 7250 | 0.4996 |
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- | 0.5448 | 0.19 | 7500 | 0.5005 |
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- | 0.5448 | 0.19 | 7750 | 0.4988 |
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- | 0.542 | 0.2 | 8000 | 0.4973 |
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- | 0.542 | 0.21 | 8250 | 0.4969 |
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- | 0.5491 | 0.21 | 8500 | 0.4985 |
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- | 0.5491 | 0.22 | 8750 | 0.4953 |
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- | 0.5392 | 0.23 | 9000 | 0.4956 |
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- | 0.5392 | 0.23 | 9250 | 0.4988 |
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- | 0.546 | 0.24 | 9500 | 0.4982 |
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- | 0.546 | 0.24 | 9750 | 0.4968 |
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- | 0.5396 | 0.25 | 10000 | 0.4937 |
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  ### Framework versions
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  - Transformers 4.36.0.dev0
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  - Pytorch 2.1.0+cu121
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- - Datasets 2.14.6
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  - Tokenizers 0.14.1
 
1
  ---
 
 
2
  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: 0.5154
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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 | 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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  - Transformers 4.36.0.dev0
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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  - Tokenizers 0.14.1
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