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wav2vec2-speaker-identifier-CV20 – AI Model by Pooya-Fallah | AlphaNeural AI
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Pooya-Fallah
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wav2vec2-speaker-identifier-CV20
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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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Model card
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results
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: 0.3386
Accuracy: 0.9893
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.4107
1.0
210
1.7190
0.8012
1.3081
2.0
420
0.8791
0.9298
0.7142
3.0
630
0.5254
0.9440
0.4789
4.0
840
0.3892
0.9798
0.3817
5.0
1050
0.3386
0.9893
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
