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whisper-small-tr-mediaspeech-istech – AI Model by muratsimsek003 | AlphaNeural AI
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whisper-small-tr-mediaspeech-istech
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-tr-mediaspeech-istech
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3611
Wer: 0.2555
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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3009
0.9996
1207
0.3888
0.3006
0.1714
2.0
2415
0.3628
0.2829
0.073
2.9996
3622
0.3547
0.2711
0.0281
4.0
4830
0.3574
0.2571
0.0081
4.9979
6035
0.3611
0.2555
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
