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wav2vec2-large-xlsr-53-english-pronunciation-evaluation-ep-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: 1.1326
- Accuracy: 0.824
- F1: 0.8228
- Precision: 0.8231
- Recall: 0.824
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: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.8917 | 1.0 | 1000 | 0.8993 | 0.592 | 0.5584 | 0.5789 | 0.592 |
0.9354 | 2.0 | 2000 | 0.7307 | 0.658 | 0.6552 | 0.6862 | 0.658 |
0.2441 | 3.0 | 3000 | 0.8337 | 0.71 | 0.7035 | 0.7203 | 0.71 |
0.7686 | 4.0 | 4000 | 0.9819 | 0.764 | 0.7643 | 0.7660 | 0.764 |
0.1986 | 5.0 | 5000 | 1.2335 | 0.78 | 0.7718 | 0.7771 | 0.78 |
0.2307 | 6.0 | 6000 | 1.2511 | 0.772 | 0.7729 | 0.7773 | 0.772 |
0.3372 | 7.0 | 7000 | 1.3693 | 0.802 | 0.8026 | 0.8036 | 0.802 |
0.0005 | 8.0 | 8000 | 1.4721 | 0.802 | 0.8009 | 0.8006 | 0.802 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3