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wav2vec2-base-finetuned-ICBHI
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: 1.1469
- Accuracy: 0.5290
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
---|---|---|---|---|
1.1702 | 1.0 | 345 | 1.1469 | 0.5290 |
1.1268 | 2.0 | 690 | 1.1437 | 0.5290 |
1.1948 | 3.0 | 1035 | 1.1439 | 0.5290 |
1.1875 | 4.0 | 1380 | 1.1455 | 0.5290 |
1.0677 | 5.0 | 1725 | 1.1416 | 0.5290 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3