wav2vec2-base-finetuned-coscan-region
This model is a fine-tuned version of facebook/wav2vec2-base on the coscan-speech dataset. It achieves the following results on the evaluation set:
- Loss: 0.1020
- Accuracy: 0.9735
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2089 | 1.0 | 6644 | 0.1020 | 0.9735 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.10.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1