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wav2vec2-xlsr-53-espeak-cv-ft-mhr2-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: 0.7562
- Wer: 0.7993
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 |
---|---|---|---|---|
5.5636 | 5.79 | 400 | 1.8357 | 1.0 |
1.6348 | 11.59 | 800 | 0.6797 | 0.8528 |
0.8624 | 17.39 | 1200 | 0.6651 | 0.8194 |
0.5248 | 23.19 | 1600 | 0.6892 | 0.7826 |
0.3328 | 28.98 | 2000 | 0.7562 | 0.7993 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.14.0.dev20221109+cu116
- Datasets 2.6.1
- Tokenizers 0.13.2