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wav2vec2-large-xlsr-53-english-pronunciation-evaluation-aod-real-balance
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: 1.2192
- Accuracy: 0.5913
- F1: 0.5853
- Precision: 0.5831
- Recall: 0.5913
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: 8
- eval_batch_size: 8
- 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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.9546 | 1.0 | 115 | 0.9768 | 0.5359 | 0.4809 | 0.5106 | 0.5359 |
0.6537 | 2.0 | 230 | 1.0393 | 0.5348 | 0.4737 | 0.4912 | 0.5348 |
0.5977 | 3.0 | 345 | 1.0722 | 0.5696 | 0.5520 | 0.5533 | 0.5696 |
0.4696 | 4.0 | 460 | 1.1958 | 0.5761 | 0.5630 | 0.5636 | 0.5761 |
0.388 | 5.0 | 575 | 1.2192 | 0.5913 | 0.5853 | 0.5831 | 0.5913 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3