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wav2vec2-base-test2 – AI Model by sherryh0112 | AlphaNeural AI
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sherryh0112
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wav2vec2-base-test2
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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wav2vec2-base-test2
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: 0.4541
Wer: 0.4886
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: 4
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.4923
2.3
500
2.9564
0.9996
0.6834
4.61
1000
0.4541
0.4886
Framework versions
Transformers 4.17.0
Pytorch 2.0.1+cu118
Datasets 1.18.3
Tokenizers 0.13.3
