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--- |
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library_name: transformers |
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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_wolof_text_speech_1 |
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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_wolof_text_speech_1 |
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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: 0.3067 |
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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: 0.0001 |
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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: 100 |
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- training_steps: 10000 |
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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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| 0.3436 | 10.6809 | 1000 | 0.3205 | |
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| 0.3259 | 21.3618 | 2000 | 0.3155 | |
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| 0.3132 | 32.0427 | 3000 | 0.3102 | |
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| 0.3064 | 42.7236 | 4000 | 0.3078 | |
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| 0.2966 | 53.4045 | 5000 | 0.3080 | |
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| 0.2966 | 64.0854 | 6000 | 0.3072 | |
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| 0.2915 | 74.7664 | 7000 | 0.3066 | |
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| 0.2868 | 85.4473 | 8000 | 0.3081 | |
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| 0.2864 | 96.1282 | 9000 | 0.3066 | |
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| 0.2867 | 106.8091 | 10000 | 0.3067 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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