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distil_noisy_teacher – AI Model by rohitp1 | AlphaNeural AI
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rohitp1
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distil_noisy_teacher
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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distil_noisy_teacher
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.4992
Wer: 0.0478
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: 0.0005
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
32.3439
22.22
1000
8.8146
0.1150
16.0955
44.44
2000
7.5152
0.0890
8.5751
66.67
3000
6.0369
0.0602
4.3989
88.89
4000
5.4992
0.0478
Framework versions
Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.11.0
