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IDAT_red_aug_270_copy_Wav2Vec – AI Model by alirzb | AlphaNeural AI
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alirzb
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IDAT_red_aug_270_copy_Wav2Vec
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pytorch
wav2vec2
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
us
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IDAT_red_aug_270_copy_Wav2Vec
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: 0.5964
Accuracy: 0.5
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.645
1.0
109
0.3946
1.0
0.3775
1.99
218
0.5964
0.5
Framework versions
Transformers 4.32.1
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.13.3
