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whisper-medium-no-specific-topic-2 – AI Model by wwwtwwwt | AlphaNeural AI
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whisper-medium-no-specific-topic-2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
wwwtwwwt/whisper-medium-no-specific-topic
finetune
apache-2.0
endpoints_compatible
us
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whisper-medium-no-specific-topic-2
This model is a fine-tuned version of
wwwtwwwt/whisper-medium-no-specific-topic
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5259
Wer: 17.5545
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: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1298
0.5
1000
0.5011
18.8455
0.1053
1.0
2000
0.5259
17.5545
Framework versions
Transformers 4.50.3
Pytorch 2.5.1+cu121
Datasets 3.5.0
Tokenizers 0.21.0
