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wav2vec2-base-finetuned-ks
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: 0.9236
- Accuracy: 0.8129
- F1: 0.7991
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
BirdClef2023 (Top 20 species represented)
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 | F1 |
|---|---|---|---|---|---|
| 1.6415 | 1.0 | 1467 | 1.8215 | 0.4724 | 0.3482 |
| 1.4247 | 2.0 | 2934 | 1.3207 | 0.6457 | 0.5854 |
| 1.0871 | 3.0 | 4401 | 1.0206 | 0.7469 | 0.7164 |
| 0.4278 | 4.0 | 5868 | 0.9235 | 0.8006 | 0.7821 |
| 0.3165 | 5.0 | 7335 | 0.9236 | 0.8129 | 0.7991 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
