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wav2vec2-base-self-0330-colab – AI Model by St4n | AlphaNeural AI
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St4n
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wav2vec2-base-self-0330-colab
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
audiofolder
facebook/wav2vec2-base-960h
finetune
apache-2.0
model-index
endpoints_compatible
us
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wav2vec2-base-self-0330-colab
This model is a fine-tuned version of
facebook/wav2vec2-base-960h
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 2.9524
Wer: 1.0
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: 16
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: 500
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
4.2768
71.43
500
2.9524
1.0
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
