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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: ceb_b32_le4_s12000 |
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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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# ceb_b32_le4_s12000 |
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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: 0.4051 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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: 2000 |
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- training_steps: 12000 |
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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 | 9.9010 | 500 | 0.4229 | |
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| 0.4352 | 19.8020 | 1000 | 0.4041 | |
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| 0.424 | 29.7030 | 1500 | 0.4032 | |
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| 0.4091 | 39.6040 | 2000 | 0.4037 | |
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| 0.4117 | 49.5050 | 2500 | 0.4078 | |
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| 0.3884 | 59.4059 | 3000 | 0.4005 | |
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| 0.3826 | 69.3069 | 3500 | 0.4024 | |
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| 0.3766 | 79.2079 | 4000 | 0.4015 | |
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| 0.3712 | 89.1089 | 4500 | 0.4025 | |
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| 0.3571 | 99.0099 | 5000 | 0.4016 | |
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| 0.3671 | 108.9109 | 5500 | 0.4021 | |
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| 0.361 | 118.8119 | 6000 | 0.4025 | |
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| 0.3581 | 128.7129 | 6500 | 0.3989 | |
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| 0.3476 | 138.6139 | 7000 | 0.4029 | |
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| 0.3391 | 148.5149 | 7500 | 0.4026 | |
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| 0.3372 | 158.4158 | 8000 | 0.4037 | |
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| 0.3345 | 168.3168 | 8500 | 0.4045 | |
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| 0.3329 | 178.2178 | 9000 | 0.4067 | |
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| 0.331 | 188.1188 | 9500 | 0.4042 | |
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| 0.3366 | 198.0198 | 10000 | 0.4051 | |
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| 0.3276 | 207.9208 | 10500 | 0.4035 | |
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| 0.3297 | 217.8218 | 11000 | 0.4037 | |
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| 0.3298 | 227.7228 | 11500 | 0.4031 | |
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| 0.3241 | 237.6238 | 12000 | 0.4051 | |
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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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