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whisper-base.en – AI Model by Shubham09 | AlphaNeural AI
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Shubham09
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whisper-base.en
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-base.en
This model is a fine-tuned version of
openai/whisper-base.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8125
Wer: 50.1754
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: 1e-05
train_batch_size: 8
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.7532
1.12
100
0.8125
50.1754
Framework versions
Transformers 4.24.0
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.13.2
