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haaris-audio-classification-model-improved – AI Model by hxxris | AlphaNeural AI
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hxxris
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haaris-audio-classification-model-improved
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transformers
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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haaris-audio-classification-model-improved
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Accuracy: 0.0442
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: 0.0001
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.83
3
2.6450
0.0265
No log
1.93
7
nan
0.0442
No log
2.76
10
nan
0.0442
No log
3.86
14
nan
0.0442
No log
4.14
15
nan
0.0442
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
