🚀 speecht5_finetuned_facebook_voxpopuli_french
This model is a fine - tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It can convert text to speech, achieving a loss of 0.4379 on the evaluation set.
🚀 Quick Start
This model is a fine - tuned version of microsoft/speecht5_tts on the voxpopuli dataset.
It achieves the following results on the evaluation set:
📚 Documentation
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: 5e - 05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 30
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
| 0.4872 |
1.0 |
1584 |
0.4663 |
| 0.4656 |
2.0 |
3168 |
0.4642 |
| 0.4686 |
3.0 |
4752 |
0.4533 |
| 0.4576 |
4.0 |
6336 |
0.4479 |
| 0.4658 |
5.0 |
7920 |
0.4485 |
| 0.4536 |
6.0 |
9504 |
0.4443 |
| 0.4559 |
7.0 |
11088 |
0.4426 |
| 0.449 |
8.0 |
12672 |
0.4410 |
| 0.4469 |
9.0 |
14256 |
0.4420 |
| 0.4565 |
10.0 |
15840 |
0.4402 |
| 0.4428 |
11.0 |
17424 |
0.4470 |
| 0.4412 |
12.0 |
19008 |
0.4400 |
| 0.4437 |
13.0 |
20592 |
0.4396 |
| 0.4395 |
14.0 |
22176 |
0.4385 |
| 0.4461 |
15.0 |
23760 |
0.4407 |
| 0.4401 |
16.0 |
25344 |
0.4387 |
| 0.4407 |
17.0 |
26928 |
0.4379 |
| 0.4359 |
18.0 |
28512 |
0.4384 |
| 0.4338 |
19.0 |
30096 |
0.4387 |
| 0.4326 |
20.0 |
31680 |
0.4381 |
| 0.4406 |
21.0 |
33264 |
0.4390 |
| 0.437 |
22.0 |
34848 |
0.4387 |
| 0.4357 |
23.0 |
36432 |
0.4389 |
| 0.4309 |
24.0 |
38016 |
0.4387 |
| 0.441 |
25.0 |
39600 |
0.4379 |
| 0.4355 |
26.0 |
41184 |
0.4378 |
| 0.4312 |
27.0 |
42768 |
0.4380 |
| 0.4328 |
28.0 |
44352 |
0.4388 |
| 0.4289 |
29.0 |
45936 |
0.4380 |
| 0.4291 |
30.0 |
47520 |
0.4379 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
📄 License
This model is licensed under the MIT license.
| Property |
Details |
| Model Type |
Fine - tuned version of microsoft/speecht5_tts on the voxpopuli dataset |
| Training Data |
voxpopuli |
| Pipeline Tag |
text - to - speech |
| Base Model |
microsoft/speecht5_tts |
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Safetensors