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wav2vec2_timit – AI Model by snehatyagi | AlphaNeural AI
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snehatyagi
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wav2vec2_timit
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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_timit
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: 3.0791
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: 0.01
train_batch_size: 32
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
3.1506
2.4
300
3.1294
1.0
3.0957
4.8
600
3.0791
1.0
Framework versions
Transformers 4.17.0
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.6
