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wav2vec2-base-finetuned-ks
This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 0.0870
- Accuracy: 0.9826
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6537 | 1.0 | 399 | 0.5647 | 0.9029 |
| 0.29 | 2.0 | 798 | 0.1722 | 0.9796 |
| 0.2077 | 3.0 | 1197 | 0.1147 | 0.9797 |
| 0.1783 | 4.0 | 1597 | 0.0973 | 0.9812 |
| 0.1315 | 5.0 | 1995 | 0.0870 | 0.9826 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 1.14.0
- Tokenizers 0.13.3
