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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_finetuned_sr_proj |
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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_finetuned_sr_proj |
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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: 0.4312 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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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: 200 |
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- training_steps: 1400 |
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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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| 0.7348 | 0.2093 | 100 | 0.6215 | |
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| 0.6423 | 0.4186 | 200 | 0.5610 | |
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| 0.5402 | 0.6279 | 300 | 0.4746 | |
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| 0.5147 | 0.8373 | 400 | 0.4594 | |
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| 0.5036 | 1.0466 | 500 | 0.4507 | |
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| 0.5033 | 1.2559 | 600 | 0.4477 | |
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| 0.4917 | 1.4652 | 700 | 0.4407 | |
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| 0.492 | 1.6745 | 800 | 0.4391 | |
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| 0.481 | 1.8838 | 900 | 0.4387 | |
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| 0.4826 | 2.0931 | 1000 | 0.4334 | |
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| 0.4842 | 2.3025 | 1100 | 0.4342 | |
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| 0.4796 | 2.5118 | 1200 | 0.4325 | |
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| 0.4735 | 2.7211 | 1300 | 0.4311 | |
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| 0.4771 | 2.9304 | 1400 | 0.4312 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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