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audio_classification – AI Model by izeah01 | AlphaNeural AI
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izeah01
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audio_classification
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transformers
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
minds14
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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audio_classification
This model is a fine-tuned version of
facebook/wav2vec2-base
on the minds14 dataset.
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
4
2.6485
0.0531
Framework versions
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
