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wav2vec2_batangueno-hp1 – AI Model by jrs-a | AlphaNeural AI
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jrs-a
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wav2vec2_batangueno-hp1
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2_batangueno-hp1
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: 0.6618
Wer: 0.4864
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: 5.130370904397918e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 30
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.9814
10.64
500
2.6422
1.0
1.413
21.28
1000
0.6618
0.4864
Framework versions
Transformers 4.34.1
Pytorch 2.0.1+cu118
Datasets 1.18.3
Tokenizers 0.14.1
