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STT_Model_5
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: 0.1410
- Wer: 0.1808
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: 80
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.882 | 5.68 | 500 | 0.5476 | 0.9998 |
| 0.4219 | 11.36 | 1000 | 0.2672 | 0.7620 |
| 0.1972 | 17.05 | 1500 | 0.1670 | 0.4849 |
| 0.1313 | 22.73 | 2000 | 0.1425 | 0.3606 |
| 0.1002 | 28.41 | 2500 | 0.1259 | 0.2846 |
| 0.0752 | 34.09 | 3000 | 0.1307 | 0.2460 |
| 0.0552 | 39.77 | 3500 | 0.1193 | 0.2192 |
| 0.0426 | 45.45 | 4000 | 0.1264 | 0.2025 |
| 0.0319 | 51.14 | 4500 | 0.1237 | 0.1974 |
| 0.025 | 56.82 | 5000 | 0.1327 | 0.1904 |
| 0.0207 | 62.5 | 5500 | 0.1493 | 0.1921 |
| 0.0178 | 68.18 | 6000 | 0.1416 | 0.1865 |
| 0.0142 | 73.86 | 6500 | 0.1382 | 0.1802 |
| 0.0123 | 79.55 | 7000 | 0.1410 | 0.1808 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
