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whisper-large-v3-turbo-Cizgi_Model_1_arg-manl-_deneme – AI Model by Erenosxx | AlphaNeural AI
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whisper-large-v3-turbo-Cizgi_Model_1_arg-manl-_deneme
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whisper-large-v3-turbo-Cizgi_Model_1_arg-manl-_deneme
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1900
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: 0.0003
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_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1382
0.8338
1500
0.2461
0.0725
1.6676
3000
0.2103
0.0219
2.5014
4500
0.1900
Framework versions
PEFT 0.15.1
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.0.0
Tokenizers 0.21.1
