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wav2vec2-10
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: 3.0354
- Wer: 1.0
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: 0.0003
- train_batch_size: 16
- 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_steps: 400
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.2231 | 0.78 | 200 | 3.0442 | 1.0 |
| 2.8665 | 1.57 | 400 | 3.0081 | 1.0 |
| 2.8596 | 2.35 | 600 | 3.0905 | 1.0 |
| 2.865 | 3.14 | 800 | 3.0443 | 1.0 |
| 2.8613 | 3.92 | 1000 | 3.0316 | 1.0 |
| 2.8601 | 4.71 | 1200 | 3.0574 | 1.0 |
| 2.8554 | 5.49 | 1400 | 3.0261 | 1.0 |
| 2.8592 | 6.27 | 1600 | 3.0785 | 1.0 |
| 2.8606 | 7.06 | 1800 | 3.1129 | 1.0 |
| 2.8547 | 7.84 | 2000 | 3.0647 | 1.0 |
| 2.8565 | 8.63 | 2200 | 3.0624 | 1.0 |
| 2.8633 | 9.41 | 2400 | 2.9900 | 1.0 |
| 2.855 | 10.2 | 2600 | 3.0084 | 1.0 |
| 2.8581 | 10.98 | 2800 | 3.0092 | 1.0 |
| 2.8545 | 11.76 | 3000 | 3.0299 | 1.0 |
| 2.8583 | 12.55 | 3200 | 3.0293 | 1.0 |
| 2.8536 | 13.33 | 3400 | 3.0566 | 1.0 |
| 2.8556 | 14.12 | 3600 | 3.0385 | 1.0 |
| 2.8573 | 14.9 | 3800 | 3.0098 | 1.0 |
| 2.8551 | 15.69 | 4000 | 3.0623 | 1.0 |
| 2.8546 | 16.47 | 4200 | 3.0964 | 1.0 |
| 2.8569 | 17.25 | 4400 | 3.0648 | 1.0 |
| 2.8543 | 18.04 | 4600 | 3.0377 | 1.0 |
| 2.8532 | 18.82 | 4800 | 3.0454 | 1.0 |
| 2.8579 | 19.61 | 5000 | 3.0301 | 1.0 |
| 2.8532 | 20.39 | 5200 | 3.0364 | 1.0 |
| 2.852 | 21.18 | 5400 | 3.0187 | 1.0 |
| 2.8561 | 21.96 | 5600 | 3.0172 | 1.0 |
| 2.8509 | 22.75 | 5800 | 3.0420 | 1.0 |
| 2.8551 | 23.53 | 6000 | 3.0309 | 1.0 |
| 2.8552 | 24.31 | 6200 | 3.0416 | 1.0 |
| 2.8521 | 25.1 | 6400 | 3.0469 | 1.0 |
| 2.852 | 25.88 | 6600 | 3.0489 | 1.0 |
| 2.854 | 26.67 | 6800 | 3.0394 | 1.0 |
| 2.8572 | 27.45 | 7000 | 3.0336 | 1.0 |
| 2.8502 | 28.24 | 7200 | 3.0363 | 1.0 |
| 2.8557 | 29.02 | 7400 | 3.0304 | 1.0 |
| 2.8522 | 29.8 | 7600 | 3.0354 | 1.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
