ceb_b64_le4_s4000
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3942
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4561 | 19.8020 | 500 | 0.4151 |
0.4179 | 39.6040 | 1000 | 0.3994 |
0.4075 | 59.4059 | 1500 | 0.4018 |
0.3981 | 79.2079 | 2000 | 0.4029 |
0.384 | 99.0099 | 2500 | 0.3953 |
0.3688 | 118.8119 | 3000 | 0.3964 |
0.3628 | 138.6139 | 3500 | 0.3952 |
0.3533 | 158.4158 | 4000 | 0.3942 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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