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Whisper Base Ru

This model is a fine-tuned version of ovsyannikovls/whisper-base-ru on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.4816 Model Preparation Time: 0.0058 Wer: 33.1041

Sourcehuggingface.co/ovsyannikovls/whisper-base-ru/tree/9eaee5d142666c72275989369c395d22b34f63f8
TypeText modelModèle de baseovsyannikovls/whisper-base-ruVersionFP32BClasse

Source du modèle

Type
Text model
Taille du fichier
277 MB
Modèle de base
ovsyannikovls/whisper-base-ru
Version
vFP32
Mis à jour
31 oct. 2026
Téléchargements
7
Source
Hugging Face

Description de la source

whisper-base-ru

This model is a fine-tuned version of ovsyannikovls/whisper-base-ru on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4816
  • Model Preparation Time: 0.0058
  • Wer: 33.1041

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: 5e-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 0.1
  • num_epochs: 6
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossModel Preparation TimeWer
0.78250.77523000.76340.005846.2482
0.60101.55046000.61490.005839.2065
0.45112.32569000.55220.005837.9747
0.38673.100812000.51850.005835.1365
0.35903.876015000.49790.005834.2640
0.32904.651218000.48750.005833.8945
0.31705.426421000.48300.005833.5609
0.31346.023220.48160.005833.1041

Framework versions

  • Transformers 5.13.1
  • Pytorch 2.6.0+cu124
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrincipalVersion 9eaee5d142666c72275989369c395d22b34f63f8
huggingface.co/ovsyannikovls/whisper-base-ru/tree/9eaee5d142666c72275989369c395d22b34f63f8

Vérifié 31 oct.

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Artefacts du modèle

1 artefact

model.safetensors

safetensors · FP32 (unverified) · 277 MB · SHA-256 28c717b0dcf9…7d89 · Hugging Face

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Extraits de sources

3 extraits
Readme15 aoûthuggingface.co/ovsyannikovls/whisper-base-ru

--- library_name: transformers license: apache-2.0 base_model: ovsyannikovls/whisper-base-ru tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-base-ru results: [] --- <!-- 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. --> # whisper-base-ru This model is a fine-tuned version of [ovsyannikovls/whisper-base-ru](https://huggingface.co/ovsyannikovls/whisper-base-ru) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4816 - Model Preparation Time: 0.0058 - Wer: 33.1041 ## 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: 5e-06 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 0.1 - num_epochs: 6 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer | |:-------------:|:------:|:----:|:---------------:|:----------------------:|:-------:| | 0.7825 | 0.7752 | 300 | 0.7634 | 0.0058 | 46.2482 | | 0.6010 | 1.5504 | 600 | 0.6149 | 0.0058 | 39.2065 | | 0.4511 | 2.3256 | 900 | 0.5522 | 0.0058 | 37.9747 | | 0.3867 | 3.1008 | 1200 | 0.5185 | 0.0058 | 35.1365 | | 0.3590 | 3.8760 | 1500 | 0.4979 | 0.0058 | 34.2640 | | 0.3290 | 4.6512 | 1800 | 0.4875 | 0.0058 | 33.8945 | | 0.3170 | 5.4264 | 2100 | 0.4830 | 0.0058 | 33.5609 | | 0.3134 | 6.0 | 2322 | 0.4816 | 0.0058 | 33.1041 | ### Framework versions - Transformers 5.13.1 - Pytorch 2.6.0+cu124 - Datasets 5.0.0 - Tokenizers 0.22.2

Note31 oct.huggingface.co/ovsyannikovls/whisper-base-ru

Source context: 7 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo ovsyannikovls/whisper-base-ru

Note15 aoûthuggingface.co/ovsyannikovls/whisper-base-ru

Source context: 112 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo ovsyannikovls/whisper-base-ru