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speecht5_finetuned_voxpopuli_pl
This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4550
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: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6954 | 0.5 | 100 | 0.6110 |
| 0.644 | 1.01 | 200 | 0.5731 |
| 0.602 | 1.51 | 300 | 0.5330 |
| 0.5524 | 2.01 | 400 | 0.4982 |
| 0.5412 | 2.51 | 500 | 0.4870 |
| 0.5256 | 3.02 | 600 | 0.4775 |
| 0.5141 | 3.52 | 700 | 0.4728 |
| 0.5125 | 4.02 | 800 | 0.4688 |
| 0.5106 | 4.52 | 900 | 0.4657 |
| 0.5037 | 5.03 | 1000 | 0.4627 |
| 0.5048 | 5.53 | 1100 | 0.4622 |
| 0.4983 | 6.03 | 1200 | 0.4583 |
| 0.4981 | 6.53 | 1300 | 0.4580 |
| 0.4942 | 7.04 | 1400 | 0.4580 |
| 0.4945 | 7.54 | 1500 | 0.4578 |
| 0.4922 | 8.04 | 1600 | 0.4568 |
| 0.4893 | 8.54 | 1700 | 0.4562 |
| 0.4948 | 9.05 | 1800 | 0.4552 |
| 0.4892 | 9.55 | 1900 | 0.4547 |
| 0.4933 | 10.05 | 2000 | 0.4550 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.0
- Tokenizers 0.13.3
