speecht5_finetuned_librispeech_polish_epo10_batch4_gas3
This model is a fine-tuned version of dawid511/speecht5_finetuned_librispeech_polish_epo10_batch4_gas2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3682
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: 3
- total_train_batch_size: 12
- 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: 300
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1061 | 2.2916 | 300 | 0.3774 |
| 1.0878 | 4.5831 | 600 | 0.3735 |
| 1.0661 | 6.8747 | 900 | 0.3716 |
| 1.0186 | 9.1611 | 1200 | 0.3682 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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