--- license: mit base_model: microsoft/speecht5_tts tags: - generated_from_trainer model-index: - name: fil_b32_le4_s4000 results: [] --- # fil_b32_le4_s4000 This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4067 ## 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: 0.0001 - 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: 2000 - training_steps: 4000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-------:|:----:|:---------------:| | 0.4923 | 11.1111 | 500 | 0.4452 | | 0.4488 | 22.2222 | 1000 | 0.4221 | | 0.4413 | 33.3333 | 1500 | 0.4192 | | 0.4318 | 44.4444 | 2000 | 0.4231 | | 0.4155 | 55.5556 | 2500 | 0.4181 | | 0.3961 | 66.6667 | 3000 | 0.4119 | | 0.394 | 77.7778 | 3500 | 0.4066 | | 0.3791 | 88.8889 | 4000 | 0.4067 | ### Framework versions - Transformers 4.41.0.dev0 - Pytorch 2.2.1+cu121 - Datasets 2.19.0 - Tokenizers 0.19.1