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wav2vec2-8
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: 3.1169
- 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: 0.0006
- train_batch_size: 32
- 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: 400
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.9398 | 1.56 | 200 | 3.1250 | 1.0 |
| 2.8703 | 3.12 | 400 | 3.1608 | 1.0 |
| 2.8632 | 4.69 | 600 | 3.1329 | 1.0 |
| 2.8638 | 6.25 | 800 | 3.0795 | 1.0 |
| 2.8595 | 7.81 | 1000 | 3.1410 | 1.0 |
| 2.8611 | 9.38 | 1200 | 3.0952 | 1.0 |
| 2.861 | 10.94 | 1400 | 3.1391 | 1.0 |
| 2.8603 | 12.5 | 1600 | 3.0639 | 1.0 |
| 2.8568 | 14.06 | 1800 | 3.1180 | 1.0 |
| 2.8563 | 15.62 | 2000 | 3.1170 | 1.0 |
| 2.857 | 17.19 | 2200 | 3.0846 | 1.0 |
| 2.8574 | 18.75 | 2400 | 3.0740 | 1.0 |
| 2.8543 | 20.31 | 2600 | 3.1482 | 1.0 |
| 2.8567 | 21.88 | 2800 | 3.1604 | 1.0 |
| 2.8561 | 23.44 | 3000 | 3.1055 | 1.0 |
| 2.858 | 25.0 | 3200 | 3.0669 | 1.0 |
| 2.8524 | 26.56 | 3400 | 3.0992 | 1.0 |
| 2.8557 | 28.12 | 3600 | 3.1050 | 1.0 |
| 2.8527 | 29.69 | 3800 | 3.1169 | 1.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
