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Wav2Vec2_TinyDataset – AI Model by wavyduck | AlphaNeural AI
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Wav2Vec2_TinyDataset
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pytorch
tensorboard
wav2vec2
generated_from_trainer
apache-2.0
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Wav2Vec2_TinyDataset
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: 0.7679
Wer: 0.4472
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
3.5235
8.93
500
1.6368
1.0227
0.6855
17.86
1000
0.7304
0.4915
0.2039
26.79
1500
0.7679
0.4472
Framework versions
Transformers 4.17.0
Pytorch 2.5.1+cu121
Datasets 1.18.3
Tokenizers 0.20.3
