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Wav2Vec – AI Model by Kubex212 | AlphaNeural AI
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Kubex212
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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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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: 0.1947
Accuracy: 0.9754
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.1951
0.9981
404
0.9267
0.9588
0.5413
1.9988
809
0.3546
0.9709
0.367
2.9994
1214
0.2216
0.9750
0.3055
3.9926
1616
0.1947
0.9754
Framework versions
Transformers 4.40.1
Pytorch 2.3.0+cpu
Datasets 2.19.1
Tokenizers 0.19.1
