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wav2vec2-base-finetuned-amd – AI Model by justin1983 | AlphaNeural AI
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justin1983
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wav2vec2-base-finetuned-amd
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transformers
pytorch
wav2vec2
audio-classification
generated_from_trainer
apache-2.0
endpoints_compatible
us
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wav2vec2-base-finetuned-amd
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: 0.2777
Accuracy: 0.8455
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.368
1.0
204
0.2701
0.844
0.2867
2.0
408
0.2777
0.8455
Framework versions
Transformers 4.28.0
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3
