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music_speech_classification – AI Model by Aynursusuz | AlphaNeural AI
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Aynursusuz
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music_speech_classification
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transformers
safetensors
whisper
audio-classification
generated_from_trainer
distil-whisper/distil-small.en
finetune
mit
endpoints_compatible
us
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music_speech_classification
This model is a fine-tuned version of
distil-whisper/distil-small.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
Accuracy: 1.0
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: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use adamw_torch_fused 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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0001
1.0
512
0.0001
1.0
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu128
Datasets 4.4.1
Tokenizers 0.22.1
