metadata
license: mit
tags:
- generated_from_trainer
datasets:
- fleurs
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 fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.3419
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: 1e-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 |
|---|---|---|---|
| 0.5791 | 0.99 | 106 | 0.4965 |
| 0.4962 | 2.0 | 213 | 0.4057 |
| 0.4719 | 3.0 | 320 | 0.3929 |
| 0.4387 | 4.0 | 427 | 0.3793 |
| 0.4366 | 4.99 | 533 | 0.3749 |
| 0.4216 | 6.0 | 640 | 0.3715 |
| 0.4238 | 7.0 | 747 | 0.3663 |
| 0.4199 | 8.0 | 854 | 0.3622 |
| 0.415 | 8.99 | 960 | 0.3595 |
| 0.409 | 10.0 | 1067 | 0.3579 |
| 0.4128 | 11.0 | 1174 | 0.3526 |
| 0.4065 | 12.0 | 1281 | 0.3554 |
| 0.4023 | 12.99 | 1387 | 0.3573 |
| 0.4028 | 14.0 | 1494 | 0.3482 |
| 0.407 | 15.0 | 1601 | 0.3487 |
| 0.4018 | 16.0 | 1708 | 0.3518 |
| 0.3987 | 16.99 | 1814 | 0.3483 |
| 0.3966 | 18.0 | 1921 | 0.3461 |
| 0.3931 | 19.0 | 2028 | 0.3534 |
| 0.3956 | 20.0 | 2135 | 0.3473 |
| 0.396 | 20.99 | 2241 | 0.3451 |
| 0.3963 | 22.0 | 2348 | 0.3435 |
| 0.3928 | 23.0 | 2455 | 0.3468 |
| 0.39 | 24.0 | 2562 | 0.3452 |
| 0.3875 | 24.99 | 2668 | 0.3430 |
| 0.405 | 26.0 | 2775 | 0.3458 |
| 0.3857 | 27.0 | 2882 | 0.3444 |
| 0.3869 | 28.0 | 2989 | 0.3436 |
| 0.3813 | 28.99 | 3095 | 0.3419 |
| 0.3859 | 30.0 | 3202 | 0.3430 |
| 0.3965 | 31.0 | 3309 | 0.3419 |
| 0.3873 | 32.0 | 3416 | 0.3432 |
| 0.3894 | 32.99 | 3522 | 0.3423 |
| 0.3855 | 34.0 | 3629 | 0.3412 |
| 0.3857 | 35.0 | 3736 | 0.3423 |
| 0.3856 | 36.0 | 3843 | 0.3420 |
| 0.3842 | 36.99 | 3949 | 0.3418 |
| 0.3827 | 38.0 | 4056 | 0.3421 |
| 0.389 | 39.0 | 4163 | 0.3423 |
| 0.3881 | 39.72 | 4240 | 0.3419 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3