|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- voxpopuli |
|
pipeline_tag: text-to-speech |
|
base_model: microsoft/speecht5_tts |
|
model-index: |
|
- name: speecht5_finetuned_facebook_voxpopuli_spanish |
|
results: [] |
|
--- |
|
|
|
<!-- 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_facebook_voxpopuli_spanish |
|
|
|
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4355 |
|
|
|
## 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: 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: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 0.484 | 1.0 | 1074 | 0.4623 | |
|
| 0.4724 | 2.0 | 2148 | 0.4542 | |
|
| 0.4646 | 3.0 | 3222 | 0.4474 | |
|
| 0.463 | 4.0 | 4296 | 0.4451 | |
|
| 0.4538 | 5.0 | 5370 | 0.4425 | |
|
| 0.4509 | 6.0 | 6444 | 0.4408 | |
|
| 0.4548 | 7.0 | 7518 | 0.4412 | |
|
| 0.4465 | 8.0 | 8592 | 0.4389 | |
|
| 0.4509 | 9.0 | 9666 | 0.4387 | |
|
| 0.4424 | 10.0 | 10740 | 0.4369 | |
|
| 0.4415 | 11.0 | 11814 | 0.4367 | |
|
| 0.4386 | 12.0 | 12888 | 0.4366 | |
|
| 0.4383 | 13.0 | 13962 | 0.4357 | |
|
| 0.4396 | 14.0 | 15036 | 0.4348 | |
|
| 0.4432 | 15.0 | 16110 | 0.4358 | |
|
| 0.4378 | 16.0 | 17184 | 0.4356 | |
|
| 0.4321 | 17.0 | 18258 | 0.4353 | |
|
| 0.4381 | 18.0 | 19332 | 0.4353 | |
|
| 0.4325 | 19.0 | 20406 | 0.4347 | |
|
| 0.4336 | 20.0 | 21480 | 0.4355 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
