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whisper-small-sr – AI Model by istomin9192 | AlphaNeural AI
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whisper-small-sr
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transformers
safetensors
whisper
automatic-speech-recognition
sr
google/fleurs
Sagicc/audio-lmb-ds
espnet/yodas_owsmv4
classla/ParlaSpeech-RS
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-sr
Fine-tuned
OpenAI Whisper Small
.
Output script:
this model is intended to produce
Serbian Latin
only.
WER
on Common Voice 24.0 Serbian test:
6.59%
Model description
Training and evaluation data
This model was fine-tuned on a
mixture of publicly available Serbian speech corpora
, including:
Mozilla Common Voice 24.0, evaluated on
CV test (sr)
FLEURS Serbian
ParlaSpeech-RS (subset of the full dataset)
Additional Serbian corpora used in the training pipeline
Training procedure
Epochs: 9
Batch size: 32 / 20
Optimizer: AdamW
LR: 6e-5 with warmup (50 steps) + cosine decay to min_lr = 1e-7
Mixed precision: bfloat16 (fp32 in the final epoch)
SpecAugment: frequency + time masking
Sampling: weighted sampling across datasets
Training results
Epoch
Train loss
CV WER
1
0.333
0.1614
2
0.344
0.1278
3
0.251
0.1112
4
0.202
0.1032
5
0.167
0.0934
6
0.138
0.0790
7
0.118
0.0740
8
0.103
0.0709
9
0.096
0.0659
Evaluation Metrics
WER (normalized)
on
Common Voice 24.0 Serbian test
:
7.09%
Text normalization used for WER:
punctuation removed
lowercased
Cyrillic → Latin conversion
numbers converted to words
