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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: fil_b128_le5_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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# fil_b128_le5_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: 0.4053 |
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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: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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| 0.5575 | 43.4783 | 500 | 0.4795 | |
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| 0.4877 | 86.9565 | 1000 | 0.4371 | |
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| 0.4582 | 130.4348 | 1500 | 0.4196 | |
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| 0.4486 | 173.9130 | 2000 | 0.4145 | |
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| 0.4353 | 217.3913 | 2500 | 0.4096 | |
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| 0.4261 | 260.8696 | 3000 | 0.4057 | |
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| 0.4206 | 304.3478 | 3500 | 0.4049 | |
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| 0.4117 | 347.8261 | 4000 | 0.4065 | |
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| 0.4123 | 391.3043 | 4500 | 0.4029 | |
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| 0.4117 | 434.7826 | 5000 | 0.4046 | |
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| 0.4053 | 478.2609 | 5500 | 0.4045 | |
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| 0.4064 | 521.7391 | 6000 | 0.4047 | |
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| 0.4058 | 565.2174 | 6500 | 0.4042 | |
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| 0.3995 | 608.6957 | 7000 | 0.4058 | |
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| 0.4076 | 652.1739 | 7500 | 0.4054 | |
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| 0.4042 | 695.6522 | 8000 | 0.4053 | |
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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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