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OmoN-STT
omullaboyev/OmoN-STT
OmoN-STT is a machine learning model from omullaboyev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 18, 2026
- Updated
- Apr 18, 2026
- SHA
- 65de9275
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
model
This model is a fine-tuned version of islomov/rubaistt_v2_medium on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0187
- eval_runtime: 1075.0046
- eval_samples_per_second: 3.879
- eval_steps_per_second: 1.94
- epoch: 1.26
- step: 2400
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: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5
Framework versions
- Transformers 4.38.0
- Pytorch 2.9.1+cu126
- Datasets 2.18.0
- Tokenizers 0.15.2
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 18, 2026
- Updated
- Apr 18, 2026