metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_sr_proj
results: []
speecht5_finetuned_sr_proj
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4312
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: 200
- training_steps: 1400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7348 | 0.2093 | 100 | 0.6215 |
| 0.6423 | 0.4186 | 200 | 0.5610 |
| 0.5402 | 0.6279 | 300 | 0.4746 |
| 0.5147 | 0.8373 | 400 | 0.4594 |
| 0.5036 | 1.0466 | 500 | 0.4507 |
| 0.5033 | 1.2559 | 600 | 0.4477 |
| 0.4917 | 1.4652 | 700 | 0.4407 |
| 0.492 | 1.6745 | 800 | 0.4391 |
| 0.481 | 1.8838 | 900 | 0.4387 |
| 0.4826 | 2.0931 | 1000 | 0.4334 |
| 0.4842 | 2.3025 | 1100 | 0.4342 |
| 0.4796 | 2.5118 | 1200 | 0.4325 |
| 0.4735 | 2.7211 | 1300 | 0.4311 |
| 0.4771 | 2.9304 | 1400 | 0.4312 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1