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asr-for-phoneme-detection-1 – AI Model by kavsss | AlphaNeural AI
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kavsss
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asr-for-phoneme-detection-1
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pytorch
wav2vec2
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
us
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asr-for-phoneme-detection-1
This model is a fine-tuned version of
facebook/wav2vec2-base
on the TIMIT dataset. It achieves the following results on the evaluation set:
Loss: 0.2756
Wer: 0.9613
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.8867
0.74
500
1.8995
1.0
0.9265
1.49
1000
0.5039
1.0
0.4881
2.23
1500
0.3537
0.9940
0.3512
2.98
2000
0.2781
0.9702
0.2706
3.72
2500
0.2756
0.9613
Framework versions
Transformers 4.11.3
Pytorch 2.4.0
Datasets 2.20.0
Tokenizers 0.10.3
