BirdClef-wav2vec

This model is a fine-tuned version of 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