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JBZhang2342
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speecht5_tts

Text-to-Audio
Transformers
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Safetensors
English
speecht5
en_accent,mozilla,t5,common_voice_1_0
Generated from Trainer
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Training in progress, step 2000

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Files changed (5) hide show
  1. README.md +6 -11
  2. model.safetensors +1 -1
  3. runs/Nov15_20-29-47_instance-2/events.out.tfevents.1700080187.instance-2 +3 -0
  4. runs/Nov15_21-44-40_instance-2/events.out.tfevents.1700084681.instance-2 +3 -0
  5. training_args.bin +2 -2
README.md CHANGED
@@ -20,7 +20,7 @@ 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 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4982
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  ## Model description
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@@ -40,26 +40,21 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 32
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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_steps: 5000
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.5383 | 16.0 | 1000 | 0.4644 |
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- | 0.5126 | 32.0 | 2000 | 0.4858 |
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- | 0.4753 | 48.0 | 3000 | 0.4889 |
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- | 0.4666 | 64.0 | 4000 | 0.4931 |
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- | 0.4836 | 80.0 | 5000 | 0.4982 |
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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 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7290
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-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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+ - training_steps: 100
 
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.7528 | 0.8 | 100 | 0.7290 |
 
 
 
 
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  ### Framework versions
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