metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_essam1_ar
results: []
speecht5_finetuned_essam1_ar
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: 0.3612
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 |
|---|---|---|---|
| 0.5284 | 0.3742 | 100 | 0.4634 |
| 0.4832 | 0.7484 | 200 | 0.4426 |
| 0.4524 | 1.1225 | 300 | 0.4221 |
| 0.4426 | 1.4967 | 400 | 0.4052 |
| 0.4311 | 1.8709 | 500 | 0.3923 |
| 0.4207 | 2.2451 | 600 | 0.3799 |
| 0.4139 | 2.6193 | 700 | 0.3724 |
| 0.4045 | 2.9935 | 800 | 0.3675 |
| 0.3978 | 3.3676 | 900 | 0.3635 |
| 0.3958 | 3.7418 | 1000 | 0.3612 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3