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my_asr_model – AI Model by LowGI | AlphaNeural AI
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my_asr_model
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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my_asr_model
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: 3.2724
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: 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: 50
num_epochs: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.9472
20.0
100
3.4756
1.0
2.9405
40.0
200
3.4197
1.0
2.9322
60.0
300
3.2967
1.0
2.9338
80.0
400
3.4891
1.0
2.9243
100.0
500
3.2724
1.0
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
