metadata
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: speecht5_finetuned_kha
results: []
speecht5_finetuned_kha
This model was trained from scratch on the audiofolder 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1