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README.md
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---
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library_name: transformers
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language:
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- ru
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_17_0
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model-index:
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- name: Whisper Small RU (Phone) - Stepler
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Small RU (Phone) - Stepler
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu124
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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---
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library_name: transformers
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language:
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- ru
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_17_0
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model-index:
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- name: Whisper Small RU (Phone) - Stepler
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results: []
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---
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+
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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+
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# Whisper Small RU (Phone) - Stepler
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+
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset (Ru) preprocessed for phone-like sound.
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## Model description
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More information needed
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## Intended uses & limitations
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+
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More information needed
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+
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## Training and evaluation data
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+
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+
More information needed
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+
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## Training procedure
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+
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### Training hyperparameters
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+
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu124
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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