wav2vec2-base_toy_train_data_random_low_pass
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: 1.3227
- Wer: 0.7288
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0795 | 2.1 | 500 | 3.2227 | 0.9982 |
| 1.21 | 4.2 | 1000 | 1.3713 | 0.8879 |
| 0.742 | 6.3 | 1500 | 1.2660 | 0.8296 |
| 0.5877 | 8.4 | 2000 | 1.2921 | 0.7794 |
| 0.4823 | 10.5 | 2500 | 1.2899 | 0.7565 |
| 0.4036 | 12.6 | 3000 | 1.3486 | 0.7494 |
| 0.391 | 14.7 | 3500 | 1.2701 | 0.7466 |
| 0.3426 | 16.81 | 4000 | 1.3570 | 0.7279 |
| 0.3015 | 18.91 | 4500 | 1.3227 | 0.7288 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.11.6