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whisper-small-sr – AI Model by StefanJevtic63 | AlphaNeural AI
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whisper-small-sr
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
sr
common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper - Serbian Model
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: 0.4936
Wer: 26.9117
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0366
4.6083
1000
0.3116
27.6227
0.002
9.2166
2000
0.4394
27.1892
0.0003
13.8249
3000
0.4845
27.1198
0.0002
18.4332
4000
0.4936
26.9117
Framework versions
Transformers 4.45.2
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.1
