speecht5_finetuned_roman_ur
This model is a fine-tuned version of EhsanElahi/speecht5_finetuned_voxpopuli_nl on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4980
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5267 | 13.56 | 50 | 0.4973 |
| 0.5245 | 27.12 | 100 | 0.4980 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3