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wav2vec2-speech-project-ownData
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1265
- Wer: 0.2154
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_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 19.2051 | 1.67 | 50 | 17.2729 | 1.0 |
| 7.801 | 3.33 | 100 | 3.3743 | 1.0 |
| 3.2115 | 5.0 | 150 | 3.1156 | 1.0 |
| 3.0852 | 6.67 | 200 | 3.0413 | 1.0 |
| 3.025 | 8.33 | 250 | 3.0108 | 1.0 |
| 2.9964 | 10.0 | 300 | 3.0003 | 1.0 |
| 2.9638 | 11.67 | 350 | 2.9466 | 1.0 |
| 2.8766 | 13.33 | 400 | 2.7914 | 1.0 |
| 2.5502 | 15.0 | 450 | 2.1839 | 0.9969 |
| 1.9802 | 16.67 | 500 | 1.5820 | 0.7569 |
| 1.324 | 18.33 | 550 | 0.8405 | 0.6 |
| 0.67 | 20.0 | 600 | 0.4139 | 0.3323 |
| 0.3792 | 21.67 | 650 | 0.2685 | 0.2831 |
| 0.2518 | 23.33 | 700 | 0.1775 | 0.2523 |
| 0.208 | 25.0 | 750 | 0.1274 | 0.2308 |
| 0.1619 | 26.67 | 800 | 0.2169 | 0.2462 |
| 0.1603 | 28.33 | 850 | 0.1142 | 0.1846 |
| 0.1246 | 30.0 | 900 | 0.1265 | 0.2154 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 1.18.3
- Tokenizers 0.13.3
