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wav2vec2-base_down_on
This model is a fine-tuned version of facebook/wav2vec2-base on the MatsRooth/down_on dataset. It achieves the following results on the evaluation set:
- Loss: 0.1385
- Accuracy: 0.9962
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: 0
- 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: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6089 | 1.0 | 29 | 0.1385 | 0.9962 |
| 0.1289 | 2.0 | 58 | 0.0510 | 0.9962 |
| 0.0835 | 3.0 | 87 | 0.0433 | 0.9885 |
| 0.0605 | 4.0 | 116 | 0.0330 | 0.9923 |
| 0.0479 | 5.0 | 145 | 0.0273 | 0.9904 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
