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wav2vec2-large-xlsr-53-english-pronunciation-evaluation-ep-v2
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0578
- Accuracy: 0.734
- F1: 0.7316
- Precision: 0.7379
- Recall: 0.734
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.8515 | 1.0 | 1000 | 0.8257 | 0.626 | 0.5978 | 0.6148 | 0.626 |
0.7543 | 2.0 | 2000 | 0.6709 | 0.722 | 0.7260 | 0.7421 | 0.722 |
0.4678 | 3.0 | 3000 | 0.7923 | 0.778 | 0.7775 | 0.7799 | 0.778 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3