Lesson8-9results
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0043
- Accuracy: 0.9984
- F1-score: 0.9984
- Recall-score: 0.9984
- Precision-score: 0.9985
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Recall-score | Precision-score |
---|---|---|---|---|---|---|---|
2.2427 | 1.0 | 155 | 2.4337 | 0.4676 | 0.3990 | 0.4676 | 0.5162 |
1.4014 | 2.0 | 310 | 1.3308 | 0.8389 | 0.8209 | 0.8389 | 0.8401 |
0.5045 | 3.0 | 465 | 0.5602 | 0.9463 | 0.9346 | 0.9463 | 0.9295 |
0.1487 | 4.0 | 620 | 0.2187 | 0.9558 | 0.9447 | 0.9558 | 0.9398 |
0.0941 | 5.0 | 775 | 0.1194 | 0.9700 | 0.9656 | 0.9700 | 0.9811 |
2.4362 | 6.0 | 930 | 0.1300 | 0.9716 | 0.9717 | 0.9716 | 0.9809 |
0.0337 | 7.0 | 1085 | 0.0727 | 0.9874 | 0.9877 | 0.9874 | 0.9902 |
0.03 | 8.0 | 1240 | 0.0482 | 0.9921 | 0.9922 | 0.9921 | 0.9932 |
0.0075 | 9.0 | 1395 | 0.1213 | 0.9731 | 0.9730 | 0.9731 | 0.9766 |
0.0104 | 10.0 | 1550 | 0.0412 | 0.9905 | 0.9903 | 0.9905 | 0.9909 |
0.0065 | 11.0 | 1705 | 0.0383 | 0.9937 | 0.9937 | 0.9937 | 0.9941 |
0.0039 | 12.0 | 1860 | 0.0479 | 0.9874 | 0.9874 | 0.9874 | 0.9891 |
0.0037 | 13.0 | 2015 | 0.0930 | 0.9842 | 0.9838 | 0.9842 | 0.9868 |
0.0046 | 14.0 | 2170 | 0.0151 | 0.9968 | 0.9968 | 0.9968 | 0.9970 |
0.0054 | 15.0 | 2325 | 0.0085 | 0.9984 | 0.9984 | 0.9984 | 0.9985 |
0.0116 | 16.0 | 2480 | 0.0022 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0028 | 17.0 | 2635 | 0.0022 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0061 | 18.0 | 2790 | 0.0222 | 0.9953 | 0.9952 | 0.9953 | 0.9955 |
0.0024 | 19.0 | 2945 | 0.0048 | 0.9984 | 0.9984 | 0.9984 | 0.9985 |
0.0021 | 20.0 | 3100 | 0.0043 | 0.9984 | 0.9984 | 0.9984 | 0.9985 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for 9D-Islamic-Ai/Lesson8-9results
Base model
facebook/wav2vec2-base
Finetuned
this model