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wav2vec2-11
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: 3.0827
- 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: 24
- eval_batch_size: 6
- 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 |
|---|---|---|---|---|
| 4.2589 | 1.18 | 200 | 3.1595 | 1.0 |
| 2.8683 | 2.35 | 400 | 3.1270 | 1.0 |
| 2.8692 | 3.53 | 600 | 3.1041 | 1.0 |
| 2.8577 | 4.71 | 800 | 3.0804 | 1.0 |
| 2.8587 | 5.88 | 1000 | 3.0556 | 1.0 |
| 2.8615 | 7.06 | 1200 | 3.1084 | 1.0 |
| 2.8598 | 8.24 | 1400 | 3.0608 | 1.0 |
| 2.8571 | 9.41 | 1600 | 3.0997 | 1.0 |
| 2.8595 | 10.59 | 1800 | 3.1533 | 1.0 |
| 2.8568 | 11.76 | 2000 | 3.0621 | 1.0 |
| 2.8563 | 12.94 | 2200 | 3.1072 | 1.0 |
| 2.8556 | 14.12 | 2400 | 3.1299 | 1.0 |
| 2.8581 | 15.29 | 2600 | 3.0565 | 1.0 |
| 2.8534 | 16.47 | 2800 | 3.0821 | 1.0 |
| 2.857 | 17.65 | 3000 | 3.0734 | 1.0 |
| 2.8545 | 18.82 | 3200 | 3.1392 | 1.0 |
| 2.8568 | 20.0 | 3400 | 3.0541 | 1.0 |
| 2.8519 | 21.18 | 3600 | 3.0856 | 1.0 |
| 2.8542 | 22.35 | 3800 | 3.1477 | 1.0 |
| 2.8565 | 23.53 | 4000 | 3.0433 | 1.0 |
| 2.8525 | 24.71 | 4200 | 3.0826 | 1.0 |
| 2.8538 | 25.88 | 4400 | 3.0972 | 1.0 |
| 2.857 | 27.06 | 4600 | 3.0762 | 1.0 |
| 2.8523 | 28.24 | 4800 | 3.0828 | 1.0 |
| 2.8526 | 29.41 | 5000 | 3.0827 | 1.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
