speecht5_finetuned_facebook_voxpopuli_et
This model is a fine-tuned version of SpeechT5 on the voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4303
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4557 | 177.78 | 1000 | 0.4377 |
| 0.4317 | 355.56 | 2000 | 0.4329 |
| 0.4244 | 533.33 | 3000 | 0.4303 |
| 0.4223 | 711.11 | 4000 | 0.4303 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3