<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
speechT5_finetune_lt
This model is a fine-tuned version of microsoft/speecht5_tts on the facebook/voxpopuli Lithuanian dataset. It achieves the following results on the evaluation set:
- Loss: 0.5231
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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4776 | 153.85 | 1000 | 0.5186 |
| 0.444 | 307.69 | 2000 | 0.5202 |
| 0.4375 | 461.54 | 3000 | 0.5211 |
| 0.4353 | 615.38 | 4000 | 0.5231 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
