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wav2vec2-xlsr-53-espeak-cv-ft-evn6-ntsema-colab
This model is a fine-tuned version of facebook/wav2vec2-xlsr-53-espeak-cv-ft on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.2335
- Wer: 0.9431
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- 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
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.847 | 4.0 | 400 | 0.9836 | 0.9933 |
| 0.8626 | 8.0 | 800 | 0.8241 | 0.9666 |
| 0.536 | 12.0 | 1200 | 0.9166 | 0.9565 |
| 0.3374 | 16.0 | 1600 | 1.1043 | 0.9732 |
| 0.2251 | 20.0 | 2000 | 1.1423 | 0.9632 |
| 0.1649 | 24.0 | 2400 | 1.1648 | 0.9599 |
| 0.1244 | 28.0 | 2800 | 1.2335 | 0.9431 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2
