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--- |
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library_name: transformers |
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license: mit |
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base_model: MBZUAI/speecht5_tts_clartts_ar |
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tags: |
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- generated_from_trainer |
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datasets: |
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- fleurs |
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model-index: |
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- name: speecht5_sindhi |
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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_sindhi |
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This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on the fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4007 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 1000 |
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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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| 0.4691 | 2.5974 | 100 | 0.4582 | |
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| 0.4505 | 5.1948 | 200 | 0.4339 | |
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| 0.4399 | 7.7922 | 300 | 0.4288 | |
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| 0.4277 | 10.3896 | 400 | 0.4193 | |
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| 0.4188 | 12.9870 | 500 | 0.4128 | |
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| 0.4111 | 15.5844 | 600 | 0.4041 | |
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| 0.4085 | 18.1818 | 700 | 0.4025 | |
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| 0.4033 | 20.7792 | 800 | 0.4005 | |
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| 0.3992 | 23.3766 | 900 | 0.4000 | |
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| 0.399 | 25.9740 | 1000 | 0.4007 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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