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speecht5_finetuned_google_fleurs_greek
Sandiago21/speecht5_finetuned_google_fleurs_greek
speecht5_finetuned_google_fleurs_greek is a text-to-speech model from Sandiago21. Use it when you need text read aloud. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Speech
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Jul 14, 2023
- Updated
- Sep 14, 2023
- SHA
- d974214c
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Jul 14, 2023
- Updated
- Sep 14, 2023