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wav2vec2-base-timit-demo-google-colab – AI Model by QuangTuan | AlphaNeural AI | AlphaNeural AI
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QuangTuan
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wav2vec2-base-timit-demo-google-colab
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-base-timit-demo-google-colab
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: 1.8570
Wer: 1.0048
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.5764
1.0
500
1.8570
1.0048
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 1.18.3
Tokenizers 0.15.0
