speecht5_finetuned_librispeech_polish_epo10_batch4_gas4
This model is a fine-tuned version of dawid511/speecht5_finetuned_librispeech_polish_epo10_batch4_gas3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3707
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3878 | 2.0409 | 200 | 0.3701 |
| 1.414 | 4.0818 | 400 | 0.3763 |
| 1.4125 | 6.1228 | 600 | 0.3708 |
| 1.382 | 8.1637 | 800 | 0.3707 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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