| license: mit | |
| base_model: microsoft/speecht5_tts | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - facebook/voxpopuli | |
| model-index: | |
| - name: speecht5_finetuned_voxpopuli_lithuanian | |
| results: | |
| - task: | |
| name: Text to Speech | |
| type: text-to-speech | |
| dataset: | |
| name: facebook/voxpopuli | |
| type: facebook/voxpopuli | |
| config: lt | |
| split: train | |
| args: lt | |
| metrics: | |
| - name: mae | |
| type: mae | |
| value: None | |
| <!-- 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_voxpopuli_lithuanian | |
| This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset. | |
| ## 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: 500 | |
| - training_steps: 50 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.32.1 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.13.3 | |