SpeechT5 TTS Slovak v3
This model is a fine-tuned version of microsoft/speecht5_tts on the VoxPopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4046
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5259 | 3.2258 | 500 | 0.4625 |
0.4823 | 6.4516 | 1000 | 0.4345 |
0.4702 | 9.6774 | 1500 | 0.4258 |
0.4502 | 12.9032 | 2000 | 0.4189 |
0.4579 | 16.1290 | 2500 | 0.4173 |
0.4418 | 19.3548 | 3000 | 0.4134 |
0.448 | 22.5806 | 3500 | 0.4117 |
0.4467 | 25.8065 | 4000 | 0.4094 |
0.4388 | 29.0323 | 4500 | 0.4084 |
0.4327 | 32.2581 | 5000 | 0.4071 |
0.4398 | 35.4839 | 5500 | 0.4069 |
0.4381 | 38.7097 | 6000 | 0.4065 |
0.4357 | 41.9355 | 6500 | 0.4053 |
0.4352 | 45.1613 | 7000 | 0.4059 |
0.4298 | 48.3871 | 7500 | 0.4050 |
0.4293 | 51.6129 | 8000 | 0.4043 |
0.4342 | 54.8387 | 8500 | 0.4050 |
0.4309 | 58.0645 | 9000 | 0.4045 |
0.4277 | 61.2903 | 9500 | 0.4047 |
0.4319 | 64.5161 | 10000 | 0.4046 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
microsoft/speecht5_tts