| | --- |
| | license: apache-2.0 |
| | base_model: facebook/wav2vec2-base-960h |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: BirdClef-wav2vec |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # BirdClef-wav2vec |
| |
|
| | This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the BirdCLEF24 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Accuracy: 0.0204 |
| | - Loss: 4.6406 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 3 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Accuracy | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:--------:|:---------------:| |
| | | 4.6298 | 1.0 | 8153 | 0.0204 | 4.6469 | |
| | | 4.649 | 2.0 | 16306 | 0.0204 | 4.6439 | |
| | | 4.6759 | 3.0 | 24459 | 0.0204 | 4.6406 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.2 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| |
|
