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wav2vec_birb_fintuned – AI Model by annaces | AlphaNeural AI
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annaces
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wav2vec_birb_fintuned
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transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/wav2vec2-base-960h
finetune
apache-2.0
endpoints_compatible
us
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wav2vec_birb_fintuned
This model is a fine-tuned version of
facebook/wav2vec2-base-960h
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.2675
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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
9
4.7477
1.0
5.047
2.0
18
4.3604
1.0
4.6126
3.0
27
4.2675
1.0
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
