metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-one-shot-hip-hop-drums-clf
results: []
wav2vec2-base-one-shot-hip-hop-drums-clf
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2463
- Accuracy: 0.9243
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8432 | 1.0 | 123 | 0.7449 | 0.8523 |
| 0.4692 | 2.0 | 246 | 0.4199 | 0.8894 |
| 0.3478 | 3.0 | 369 | 0.3122 | 0.9148 |
| 0.3054 | 4.0 | 492 | 0.2771 | 0.9156 |
| 0.2522 | 5.0 | 615 | 0.2676 | 0.9217 |
| 0.2221 | 6.0 | 738 | 0.2495 | 0.9217 |
| 0.2256 | 7.0 | 861 | 0.2588 | 0.9184 |
| 0.1949 | 8.0 | 984 | 0.2525 | 0.9232 |
| 0.1837 | 9.0 | 1107 | 0.2505 | 0.9237 |
| 0.1644 | 10.0 | 1230 | 0.2463 | 0.9243 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1