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whisper-medium-turkish-speech-v1 – AI Model by pnr-svc | AlphaNeural AI
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whisper-medium-turkish-speech-v1
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tensorboard
safetensors
whisper
generated_from_trainer
tr
mozilla-foundation/common_voice_11_0
openai/whisper-medium
finetune
apache-2.0
model-index
us
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Whisper medium tr - Pinar Savci
This model is a fine-tuned version of
openai/whisper-medium
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.1873
Wer: 15.8254
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: 8
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1672
0.2214
1000
0.2599
21.1174
0.1565
0.4429
2000
0.2309
18.6897
0.1534
0.6643
3000
0.2038
17.2712
0.1205
0.8857
4000
0.1873
15.8254
Framework versions
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
