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wav2vec2-large-xlsr-53-english-pronunciation-evaluation-bs-v1
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: 0.9211
- Accuracy: 0.718
- F1: 0.7197
- Precision: 0.7231
- Recall: 0.718
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: 16
- eval_batch_size: 16
- 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 |
---|---|---|---|---|---|---|---|
0.9511 | 1.0 | 250 | 0.9034 | 0.548 | 0.5357 | 0.5409 | 0.548 |
0.6108 | 2.0 | 500 | 0.7361 | 0.68 | 0.6727 | 0.6731 | 0.68 |
0.4412 | 3.0 | 750 | 0.7990 | 0.726 | 0.7188 | 0.7221 | 0.726 |
0.2178 | 4.0 | 1000 | 0.7983 | 0.764 | 0.7652 | 0.7674 | 0.764 |
0.1726 | 5.0 | 1250 | 0.9572 | 0.764 | 0.7633 | 0.7647 | 0.764 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3