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wav2vec2-large-xlsr-53-english-pronunciation-evaluation-bs-v3
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: 0.9769
- Accuracy: 0.816
- F1: 0.8151
- Precision: 0.8156
- Recall: 0.816
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.9796 | 1.0 | 1000 | 0.8390 | 0.59 | 0.5710 | 0.5698 | 0.59 |
0.851 | 2.0 | 2000 | 0.7105 | 0.676 | 0.6707 | 0.6717 | 0.676 |
1.0458 | 3.0 | 3000 | 0.9331 | 0.718 | 0.7141 | 0.7334 | 0.718 |
0.3999 | 4.0 | 4000 | 0.9352 | 0.79 | 0.7873 | 0.7905 | 0.79 |
0.0843 | 5.0 | 5000 | 1.0333 | 0.812 | 0.8130 | 0.8148 | 0.812 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3