---
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
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# 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          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3