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dys_asr_100h – AI Model by pnparam | AlphaNeural AI
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dys_asr_100h
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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dys_asr_100h
This model is a fine-tuned version of
Splend1dchan/wav2vec2-large-100h-lv60-self
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0362
Wer: 1.0187
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: 7
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
10.8404
1.36
500
2.4671
1.0
1.7126
2.72
1000
0.3951
1.2118
0.5618
4.09
1500
0.1192
1.0841
0.2301
5.45
2000
0.0547
1.0187
0.1409
6.81
2500
0.0362
1.0187
Framework versions
Transformers 4.17.0
Pytorch 1.13.1+cu116
Datasets 1.18.3
Tokenizers 0.13.2
