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wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dt-undersampling
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: 0.9590
- Accuracy: 0.5847
- F1: 0.5789
- Precision: 0.5799
- Recall: 0.5847
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 |
---|---|---|---|---|---|---|---|
1.0948 | 1.0 | 108 | 0.9597 | 0.5638 | 0.5221 | 0.5530 | 0.5638 |
0.9032 | 2.0 | 216 | 0.9136 | 0.5824 | 0.5824 | 0.5883 | 0.5824 |
0.7759 | 3.0 | 324 | 0.8554 | 0.6056 | 0.5942 | 0.5926 | 0.6056 |
0.6121 | 4.0 | 432 | 1.0330 | 0.5824 | 0.5696 | 0.6016 | 0.5824 |
0.4221 | 5.0 | 540 | 1.0865 | 0.5986 | 0.5915 | 0.5924 | 0.5986 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3