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whisper-small-tr – AI Model by Huseyin | AlphaNeural AI
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whisper-small-tr
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
tr
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Tr - Huseyin Ates
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2347
Wer: 20.4616
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2284
0.3447
1000
0.2800
23.8695
0.1868
0.6894
2000
0.2569
22.2992
0.0948
1.0341
3000
0.2410
20.9929
0.0865
1.3788
4000
0.2347
20.4616
Framework versions
Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
