metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- text-to-speech
datasets:
- google/fleurs
model-index:
- name: speecht5-finetuned-fleurs-it-it
results: []
speecht5-finetuned-fleurs-it-it
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: 0.3797
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 200
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5243 | 2.35 | 200 | 0.4537 |
| 0.4541 | 4.69 | 400 | 0.3979 |
| 0.4369 | 7.04 | 600 | 0.3874 |
| 0.4303 | 9.38 | 800 | 0.3830 |
| 0.4262 | 11.73 | 1000 | 0.3797 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3