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S1_M1_R2_Wav2Vec_42738111 – AI Model by alirzb | AlphaNeural AI
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S1_M1_R2_Wav2Vec_42738111
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transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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S1_M1_R2_Wav2Vec_42738111
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0102
Accuracy: 0.9981
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0096
1.0
309
0.0518
0.9866
0.0012
2.0
619
0.0217
0.9952
0.0007
3.0
929
0.0264
0.9942
0.0005
4.0
1239
0.0085
0.9981
0.0004
4.99
1545
0.0102
0.9981
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.0
