metadata
base_model: Edmon02/speecht5_finetuned_voxpopuli_hy
tags:
- generated_from_trainer
datasets:
- common_voice_16_1
model-index:
- name: speecht5_finetuned_voxpopuli_hy
results: []
speecht5_finetuned_voxpopuli_hy
This model is a fine-tuned version of Edmon02/speecht5_finetuned_voxpopuli_hy on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4839
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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5254 | 13.4 | 1000 | 0.4939 |
| 0.5028 | 26.8 | 2000 | 0.4868 |
| 0.4958 | 40.2 | 3000 | 0.4863 |
| 0.4983 | 53.6 | 4000 | 0.4839 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2