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whisper-tb-az – AI Model by seyidov579 | AlphaNeural AI
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transformers
pytorch
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
az
seyidov579/azerbaijan
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Az - Kenan Seyidov
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:
Loss: 2.5260
Wer: 100.0
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
0.0
1000.0
1000
2.3577
100.0
0.0
2000.0
2000
2.4623
100.0
0.0
3000.0
3000
2.5096
100.0
0.0
4000.0
4000
2.5260
100.0
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
