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wav2vec2_batangueno
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: 0.5694
- Wer: 0.2635
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: 6.642954074604246e-05
- train_batch_size: 2
- 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 |
|---|---|---|---|---|
| 3.8312 | 2.66 | 500 | 2.7217 | 1.0 |
| 1.5348 | 5.32 | 1000 | 0.7723 | 0.5788 |
| 0.5104 | 7.98 | 1500 | 0.5589 | 0.4308 |
| 0.2845 | 10.64 | 2000 | 0.5485 | 0.3803 |
| 0.1995 | 13.3 | 2500 | 0.5043 | 0.3273 |
| 0.1493 | 15.96 | 3000 | 0.5247 | 0.3045 |
| 0.1195 | 18.62 | 3500 | 0.5410 | 0.2984 |
| 0.0974 | 21.28 | 4000 | 0.5905 | 0.2804 |
| 0.0784 | 23.94 | 4500 | 0.5702 | 0.2780 |
| 0.0601 | 26.6 | 5000 | 0.5678 | 0.2659 |
| 0.0578 | 29.26 | 5500 | 0.5694 | 0.2635 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.14.1
