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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 +17 -22
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,26 +1,23 @@
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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: 0.4692
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  ## Model description
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@@ -40,11 +37,9 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 16
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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
@@ -55,16 +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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- | 0.5722 | 0.03 | 1000 | 0.5183 |
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- | 0.5636 | 0.06 | 2000 | 0.4998 |
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- | 0.5544 | 0.09 | 3000 | 0.4886 |
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- | 0.5197 | 0.12 | 4000 | 0.4851 |
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- | 0.5121 | 0.16 | 5000 | 0.4796 |
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- | 0.5023 | 0.19 | 6000 | 0.4769 |
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- | 0.4984 | 0.22 | 7000 | 0.4751 |
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- | 0.5133 | 0.25 | 8000 | 0.4734 |
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- | 0.512 | 0.28 | 9000 | 0.4725 |
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- | 0.5044 | 0.31 | 10000 | 0.4692 |
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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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  datasets:
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+ - common_voice_13_0
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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 common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5563
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 10
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+ - eval_batch_size: 10
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.5812 | 5.0 | 1000 | 0.5475 |
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+ | 0.5446 | 10.0 | 2000 | 0.5291 |
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+ | 0.5309 | 15.0 | 3000 | 0.5230 |
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+ | 0.4793 | 20.0 | 4000 | 0.5313 |
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+ | 0.501 | 25.0 | 5000 | 0.5350 |
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+ | 0.5056 | 30.0 | 6000 | 0.5369 |
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+ | 0.4765 | 35.0 | 7000 | 0.5409 |
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+ | 0.4933 | 40.0 | 8000 | 0.5530 |
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+ | 0.4825 | 45.0 | 9000 | 0.5491 |
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+ | 0.4953 | 50.0 | 10000 | 0.5563 |
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  ### Framework versions
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