Wav2Vec2_MediumDataset
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: 0.5124
- Wer: 0.3416
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.4758 | 1.54 | 500 | 1.6004 | 0.9884 |
| 0.81 | 3.09 | 1000 | 0.5195 | 0.5002 |
| 0.3974 | 4.63 | 1500 | 0.4514 | 0.4470 |
| 0.2548 | 6.17 | 2000 | 0.4596 | 0.4104 |
| 0.1895 | 7.72 | 2500 | 0.4736 | 0.4019 |
| 0.1547 | 9.26 | 3000 | 0.4821 | 0.3944 |
| 0.1253 | 10.8 | 3500 | 0.5069 | 0.3735 |
| 0.1018 | 12.35 | 4000 | 0.4846 | 0.3793 |
| 0.0955 | 13.89 | 4500 | 0.5465 | 0.3667 |
| 0.0818 | 15.43 | 5000 | 0.4956 | 0.3768 |
| 0.0761 | 16.98 | 5500 | 0.4702 | 0.3754 |
| 0.062 | 18.52 | 6000 | 0.4915 | 0.3563 |
| 0.0567 | 20.06 | 6500 | 0.8820 | 0.5120 |
| 0.0502 | 21.6 | 7000 | 0.5224 | 0.3735 |
| 0.0449 | 23.15 | 7500 | 0.5546 | 0.3561 |
| 0.0332 | 24.69 | 8000 | 0.5240 | 0.3455 |
| 0.0306 | 26.23 | 8500 | 0.5289 | 0.3429 |
| 0.0292 | 27.78 | 9000 | 0.5211 | 0.3406 |
| 0.0275 | 29.32 | 9500 | 0.5124 | 0.3416 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.5.1+cu121
- Datasets 1.18.3
- Tokenizers 0.20.3