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Moustapha91
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Adia_llm

Text-to-Audio
Transformers
TensorBoard
Safetensors
speecht5
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +11 -8
  2. model.safetensors +1 -1
  3. runs/Dec12_09-18-11_c4be7cecac65/events.out.tfevents.1733995111.c4be7cecac65.30.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4451
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  ## Model description
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@@ -43,17 +43,20 @@ The following hyperparameters were used during training:
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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: 1500
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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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- | 0.5186 | 0.9292 | 500 | 0.4733 |
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- | 0.494 | 1.8583 | 1000 | 0.4507 |
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- | 0.4795 | 2.7875 | 1500 | 0.4451 |
 
 
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4478
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  ## Model description
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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: 2500
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+ - training_steps: 15000
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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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+ | 0.4862 | 9.0909 | 2500 | 0.4537 |
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+ | 0.4505 | 18.1818 | 5000 | 0.4393 |
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+ | 0.4434 | 27.2727 | 7500 | 0.4404 |
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+ | 0.4359 | 36.3636 | 10000 | 0.4411 |
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+ | 0.4314 | 45.4545 | 12500 | 0.4451 |
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+ | 0.4268 | 54.5455 | 15000 | 0.4478 |
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  ### Framework versions
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