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bird_sounds_classification – AI Model by Lachin | AlphaNeural AI
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Lachin
/
bird_sounds_classification
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transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
dima806/bird_sounds_classification
finetune
apache-2.0
endpoints_compatible
us
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Model card
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emotion_recognition
This model is a fine-tuned version of
dima806/bird_sounds_classification
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7880
Accuracy: 0.8249
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-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7843
1.0
4899
0.9654
0.7514
0.6352
2.0
9798
0.9026
0.7955
0.0438
3.0
14697
0.8320
0.8037
0.443
4.0
19596
0.8014
0.8131
0.3585
5.0
24495
0.7880
0.8249
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
