metadata
license: mit
base_model: emirhanbilgic/speecht5_finetuned_emirhan_tr
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_emirhan_tr
results: []
pipeline_tag: text-to-speech
datasets:
- erenfazlioglu/turkishvoicedataset
speecht5_finetuned_emirhan_tr
This model is a fine-tuned version of emirhanbilgic/speecht5_finetuned_emirhan_tr on erenfazlioglu/turkishvoicedataset. It achieves the following results on the evaluation set:
- Loss: 0.3178
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: 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: 100
- training_steps: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3533 | 0.4545 | 100 | 0.3372 |
| 0.3572 | 0.9091 | 200 | 0.3246 |
| 0.3415 | 1.3636 | 300 | 0.3178 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1