speecht5_finetuned_voxpopuli_cs
This model is a fine-tuned version of microsoft/speecht5_tts on the Vox Populi Czech dataset. It achieves the following results on the evaluation set:
- Loss: 0.4287
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4847 | 6.57 | 1000 | 0.4456 |
| 0.46 | 13.14 | 2000 | 0.4345 |
| 0.4581 | 19.7 | 3000 | 0.4306 |
| 0.4597 | 26.27 | 4000 | 0.4287 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Downloads last month
- 27
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for kfahn/speecht5_finetuned_voxpopuli_cs
Base model
microsoft/speecht5_tts