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whisper-small-turkish-1 – AI Model by tgrhn | AlphaNeural AI
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whisper-small-turkish-1
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-turkish-1
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2587
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: 64
eval_batch_size: 64
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: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.2364
1.0684
1000
0.2548
0.1517
2.1368
2000
0.2436
0.1001
3.2051
3000
0.2467
0.0677
4.2735
4000
0.2511
0.0476
5.3419
5000
0.2587
Framework versions
Transformers 4.48.1
Pytorch 2.5.1+cu124
Datasets 2.18.0
Tokenizers 0.21.0
