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IDAT_aug_concat_879_Wav2Vec – AI Model by alirzb | AlphaNeural AI
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alirzb
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IDAT_aug_concat_879_Wav2Vec
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transformers
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
audiofolder
facebook/wav2vec2-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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IDAT_aug_concat_879_Wav2Vec
This model is a fine-tuned version of
facebook/wav2vec2-base
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 0.6928
Accuracy: 0.55
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-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7033
0.9714
17
0.6928
0.55
Framework versions
Transformers 4.44.1
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1
