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dgx1_whisper_small_finetune_teacher_babble_noise_mozilla_40_epochs_batch_8 – AI Model by rohitp1 | AlphaNeural AI
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rohitp1
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dgx1_whisper_small_finetune_teacher_babble_noise_mozilla_40_epochs_batch_8
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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dgx1_whisper_small_finetune_teacher_babble_noise_mozilla_40_epochs_batch_8
This model is a fine-tuned version of
openai/whisper-small.en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7176
Wer: 29.1345
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_with_restarts
lr_scheduler_warmup_ratio: 0.2
num_epochs: 40
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2059
14.7
500
0.7073
31.1921
0.0023
29.41
1000
0.7176
29.1345
Framework versions
Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.8.0
Tokenizers 0.13.2
