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wav2vec2-base-finetuned-ks – AI Model by coolbirdv | AlphaNeural AI
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wav2vec2-base-finetuned-ks
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tensorboard
safetensors
wav2vec2
generated_from_trainer
vivos
facebook/wav2vec2-base
finetune
apache-2.0
model-index
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wav2vec2-base-finetuned-ks
This model is a fine-tuned version of
facebook/wav2vec2-base
on the vivos dataset. It achieves the following results on the evaluation set:
Loss: 4.0319
Accuracy: 0.0145
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: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.9990
364
4.0319
0.0145
3.1633
1.9979
728
4.7572
0.0013
0.9306
2.9969
1092
5.4901
0.0
Framework versions
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.19.1
