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distil_noisy_teacher_clean_student_data_libri – AI Model by rohitp1 | AlphaNeural AI
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distil_noisy_teacher_clean_student_data_libri
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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distil_noisy_teacher_clean_student_data_libri
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 153.4607
Wer: 0.8504
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: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 2048
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
916.9673
90.9
1000
153.4607
0.8504
Framework versions
Transformers 4.23.1
Pytorch 1.12.1
Datasets 2.6.1
Tokenizers 0.13.1
