metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_lowdata
results: []
speecht5_finetuned_lowdata
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: 0.4446
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: 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5558 | 4.1026 | 100 | 0.4981 |
| 0.5053 | 8.2051 | 200 | 0.4659 |
| 0.4692 | 12.3077 | 300 | 0.4616 |
| 0.4552 | 16.4103 | 400 | 0.4532 |
| 0.4412 | 20.5128 | 500 | 0.4472 |
| 0.4275 | 24.6154 | 600 | 0.4470 |
| 0.4253 | 28.7179 | 700 | 0.4501 |
| 0.4139 | 32.8205 | 800 | 0.4459 |
| 0.4142 | 36.9231 | 900 | 0.4458 |
| 0.4053 | 41.0256 | 1000 | 0.4446 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3