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finetune_teacher_babble_noise_mozilla_300_epochs_val_loss – AI Model by rohitp1 | AlphaNeural AI
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finetune_teacher_babble_noise_mozilla_300_epochs_val_loss
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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finetune_teacher_babble_noise_mozilla_300_epochs_val_loss
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 47.0908
Wer: 0.3471
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: 16
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 128
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
504.7147
29.41
1000
42.3393
0.3905
272.2657
58.82
2000
44.8953
0.3690
167.0963
88.23
3000
47.0908
0.3471
Framework versions
Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.8.0
Tokenizers 0.13.2
