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Whisper Base Sna Cleaned Duration Sortagrad

This model is a fine-tuned version of openai/whisper-base on the Cleaned Google WAXAL Shona dataset. It achieves the following results on the evaluation set: Loss: 0.4571 Wer: 40.7137

TipoText modelModelo baseopenai/whisper-baseVersãomodelBnota

Fonte do modelo

Tipo
Text model
Tamanho do arquivo
277 MB
Modelo base
openai/whisper-base
Versão
vmodel
Atualizado
26 de out. de 2026
Downloads
12
Fonte
Hugging Face

Descrição da fonte

Whisper Medium Shona - Cleaned Data Duration SortaGrad

This model is a fine-tuned version of openai/whisper-base on the Cleaned Google WAXAL Shona dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4571
  • Wer: 40.7137

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: Use adamw_torch_fused 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: 200
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.87980.23982000.919363.5934
0.61670.47964000.658350.7509
0.58660.71946000.567949.3659
0.53020.95928000.520345.3494
0.44401.199010000.496743.8557
0.42131.438812000.481442.0742
0.40771.678714000.470942.3322
0.40161.918516000.461941.7158
0.34982.158318000.458640.7164
0.38822.398120000.457140.7137

Framework versions

  • Transformers 5.13.1
  • Pytorch 2.12.0+cu130
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Fontes

1 fonte
Hugging FacePrimárioVersão 3a2902153f66f84d1f91e82de6ffd58277b65711
huggingface.co/CasperMuz/whisper-base-sna-cleaned-duration-sortagrad/tree/3a2902153f66f84d1f91e82de6ffd58277b65711

Verificado 26 de out.

Artefatos de modelo

1 artefato

model.safetensors

safetensors · 277 MB · SHA-256 458f3e7ec983…b02b · Hugging Face

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Trechos de fonte

3 trechos

--- library_name: transformers language: - sna license: apache-2.0 base_model: openai/whisper-base tags: - generated_from_trainer metrics: - wer model-index: - name: Whisper Medium Shona - Cleaned Data Duration SortaGrad 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 Medium Shona - Cleaned Data Duration SortaGrad This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Cleaned Google WAXAL Shona dataset. It achieves the following results on the evaluation set: - Loss: 0.4571 - Wer: 40.7137 ## 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: Use adamw_torch_fused 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: 200 - training_steps: 2000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:------:|:----:|:---------------:|:-------:| | 0.8798 | 0.2398 | 200 | 0.9193 | 63.5934 | | 0.6167 | 0.4796 | 400 | 0.6583 | 50.7509 | | 0.5866 | 0.7194 | 600 | 0.5679 | 49.3659 | | 0.5302 | 0.9592 | 800 | 0.5203 | 45.3494 | | 0.4440 | 1.1990 | 1000 | 0.4967 | 43.8557 | | 0.4213 | 1.4388 | 1200 | 0.4814 | 42.0742 | | 0.4077 | 1.6787 | 1400 | 0.4709 | 42.3322 | | 0.4016 | 1.9185 | 1600 | 0.4619 | 41.7158 | | 0.3498 | 2.1583 | 1800 | 0.4586 | 40.7164 | | 0.3882 | 2.3981 | 2000 | 0.4571 | 40.7137 | ### Framework versions - Transformers 5.13.1 - Pytorch 2.12.0+cu130 - Datasets 5.0.0 - Tokenizers 0.22.2

Source context: 12 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo CasperMuz/whisper-base-sna-cleaned-duration-sortagrad

Source context: 24 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo CasperMuz/whisper-base-sna-cleaned-duration-sortagrad