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wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William – AI Model by EzraWilliam | AlphaNeural AI
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EzraWilliam
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wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William
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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-base-fleurs-CommonVoice-demo-google-colab-Ezra_William
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: 1.6817
Wer: 0.9964
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: 0.0001
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
4.9984
11.9
500
2.8550
1.0
1.5009
23.81
1000
1.6817
0.9964
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
