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Whisper Small Santali Ipa

This model is a fine-tuned version of openai/whisper-small on the None dataset.

Sourcehuggingface.co/shoibo/whisper_small_santali_ipa/tree/34727c3df396da2e4deb995609cf9a0c4bc76ee9
TypeText modelModèle de baseopenai/whisper-smallVersionFP32CClasse

Source du modèle

Type
Text model
Taille du fichier
922 MB
Modèle de base
openai/whisper-small
Version
vFP32
Mis à jour
31 oct. 2026
Téléchargements
5
Source
Hugging Face

Description de la source

whisper_small_santali_ipa

This model is a fine-tuned version of openai/whisper-small on the None dataset.

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: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.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: 50
  • num_epochs: 21
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 5.12.1
  • Pytorch 2.11.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrincipalVersion 34727c3df396da2e4deb995609cf9a0c4bc76ee9
huggingface.co/shoibo/whisper_small_santali_ipa/tree/34727c3df396da2e4deb995609cf9a0c4bc76ee9

Vérifié 31 oct.

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Repository files

File inventory only; completeness is unverified.

Artefacts du modèle

1 artefact

model.safetensors

safetensors · FP32 (unverified) · 922 MB · SHA-256 2f74f098ea6b…950b · Hugging Face

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Extraits de sources

3 extraits
Readme15 aoûthuggingface.co/shoibo/whisper_small_santali_ipa

--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer model-index: - name: whisper_small_santali_ipa 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_small_santali_ipa This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. ## 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: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.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: 50 - num_epochs: 21 - mixed_precision_training: Native AMP ### Framework versions - Transformers 5.12.1 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Note31 oct.huggingface.co/shoibo/whisper_small_santali_ipa

Source context: 5 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo shoibo/whisper_small_santali_ipa

Note15 aoûthuggingface.co/shoibo/whisper_small_santali_ipa

Source context: 16 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo shoibo/whisper_small_santali_ipa