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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: zlm_b64_le4_s8000 |
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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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# zlm_b64_le4_s8000 |
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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: 0.3177 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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: 2000 |
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- training_steps: 8000 |
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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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| 0.5277 | 0.4188 | 500 | 0.4806 | |
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| 0.4582 | 0.8377 | 1000 | 0.4116 | |
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| 0.4312 | 1.2565 | 1500 | 0.3951 | |
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| 0.4122 | 1.6754 | 2000 | 0.3768 | |
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| 0.4002 | 2.0942 | 2500 | 0.3599 | |
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| 0.3905 | 2.5131 | 3000 | 0.3521 | |
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| 0.3806 | 2.9319 | 3500 | 0.3445 | |
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| 0.37 | 3.3508 | 4000 | 0.3474 | |
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| 0.3736 | 3.7696 | 4500 | 0.3362 | |
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| 0.3608 | 8.3872 | 5000 | 0.3342 | |
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| 0.3602 | 9.2249 | 5500 | 0.3258 | |
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| 0.3561 | 10.0626 | 6000 | 0.3230 | |
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| 0.3505 | 10.9003 | 6500 | 0.3199 | |
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| 0.3473 | 11.7380 | 7000 | 0.3193 | |
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| 0.3523 | 12.5757 | 7500 | 0.3177 | |
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| 0.3462 | 13.4134 | 8000 | 0.3177 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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