metadata
license: mit
base_model: pedropauletti/speecht5_finetuned_common_voice_pt
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
model-index:
- name: speecht5_finetuned_common_voice_pt
results: []
speecht5_finetuned_common_voice_pt
This model is a fine-tuned version of pedropauletti/speecht5_finetuned_common_voice_pt on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4610
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4962 | 6.58 | 1000 | 0.4737 |
| 0.4823 | 13.16 | 2000 | 0.4651 |
| 0.4824 | 19.74 | 3000 | 0.4612 |
| 0.4845 | 26.32 | 4000 | 0.4610 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3