metadata
license: mit
tags:
- generated_from_trainer
pipeline_tag: text-to-speech
base_model: microsoft/speecht5_tts
model-index:
- name: speecht5_finetuned_google_fleurs_greek
results: []
speecht5_finetuned_google_fleurs_greek
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3920
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: 2.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5174 | 1.0 | 583 | 0.4863 |
| 0.4948 | 2.0 | 1166 | 0.4611 |
| 0.4723 | 3.0 | 1749 | 0.4503 |
| 0.4763 | 4.0 | 2333 | 0.4438 |
| 0.4614 | 5.0 | 2916 | 0.4407 |
| 0.4569 | 6.0 | 3499 | 0.4387 |
| 0.4538 | 7.0 | 4082 | 0.4306 |
| 0.4539 | 8.0 | 4666 | 0.4282 |
| 0.4564 | 9.0 | 5249 | 0.4230 |
| 0.4493 | 10.0 | 5832 | 0.4222 |
| 0.445 | 11.0 | 6415 | 0.4190 |
| 0.4564 | 12.0 | 6999 | 0.4195 |
| 0.4381 | 13.0 | 7582 | 0.4161 |
| 0.4328 | 14.0 | 8165 | 0.4147 |
| 0.4424 | 15.0 | 8748 | 0.4140 |
| 0.4282 | 16.0 | 9332 | 0.4117 |
| 0.4349 | 17.0 | 9915 | 0.4090 |
| 0.4381 | 18.0 | 10498 | 0.4090 |
| 0.4328 | 19.0 | 11081 | 0.4073 |
| 0.4347 | 20.0 | 11665 | 0.4079 |
| 0.4293 | 21.0 | 12248 | 0.4055 |
| 0.4251 | 22.0 | 12831 | 0.4052 |
| 0.4359 | 23.0 | 13414 | 0.4023 |
| 0.4311 | 24.0 | 13998 | 0.4016 |
| 0.421 | 25.0 | 14581 | 0.4014 |
| 0.4162 | 26.0 | 15164 | 0.3991 |
| 0.4219 | 27.0 | 15747 | 0.3990 |
| 0.4247 | 28.0 | 16331 | 0.3989 |
| 0.4188 | 29.0 | 16914 | 0.3974 |
| 0.4229 | 30.0 | 17497 | 0.3976 |
| 0.4246 | 31.0 | 18080 | 0.3960 |
| 0.4219 | 32.0 | 18664 | 0.3956 |
| 0.4228 | 33.0 | 19247 | 0.3951 |
| 0.4183 | 34.0 | 19830 | 0.3946 |
| 0.4097 | 35.0 | 20413 | 0.3936 |
| 0.4245 | 36.0 | 20997 | 0.3935 |
| 0.4184 | 37.0 | 21580 | 0.3930 |
| 0.4198 | 38.0 | 22163 | 0.3937 |
| 0.4193 | 39.0 | 22746 | 0.3925 |
| 0.4096 | 39.98 | 23320 | 0.3920 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3