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whisper_tiny_fa_with_Layer_freezing – AI Model by Minabht | AlphaNeural AI
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Minabht
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whisper_tiny_fa_with_Layer_freezing
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
fleurs
hajar817/whisper_tiny_fa_cv13
finetune
model-index
endpoints_compatible
us
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whisper_tiny_fa_with_Layer_freezing
This model is a fine-tuned version of
hajar817/whisper_tiny_fa_cv13
on the fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.3712
Wer: 54.8828
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: 6.15044e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
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
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3653
2.5773
500
0.3766
60.2870
0.0611
5.1546
1000
0.3712
54.8828
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
