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Whisper Small L2 Arctic Mdd

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set: Loss: 0.2566 Per: 0.1270 Precision: 1.0 Recall: 1.0 F1: 1.0

ArtText modelBasismodellopenai/whisper-smallVersionmodelBBewertung

Modellquelle

Art
Text model
Dateigröße
922 MB
Basismodell
openai/whisper-small
Version
vmodel
Aktualisiert
26. Okt. 2026
Downloads
9
Quelle
Hugging Face

Quellenbeschreibung

whisper-small-l2-arctic-mdd

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2566
  • Per: 0.1270
  • Precision: 1.0
  • Recall: 1.0
  • F1: 1.0

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: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • 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: 1000
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossPerPrecisionRecallF1
4.01601.02810.83010.28771.01.01.0
1.87232.05620.43830.19351.01.01.0
1.37673.08430.34160.15481.01.01.0
0.99004.011240.28050.13801.01.01.0
0.62255.014050.25660.12701.01.01.0

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Quellen

1 Quelle
Hugging FacePrimärVersion e959aa818a3dfea7947c6693c43d925934f74265
huggingface.co/waelhasan/whisper-small-l2-arctic-mdd/tree/e959aa818a3dfea7947c6693c43d925934f74265

Verifiziert 26. Okt.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · 922 MB · SHA-256 86a9a00ba7ec…2b00 · Hugging Face

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Quellenauszüge

3 Auszüge

--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - precision - recall - f1 model-index: - name: whisper-small-l2-arctic-mdd 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-l2-arctic-mdd This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2566 - Per: 0.1270 - Precision: 1.0 - Recall: 1.0 - F1: 1.0 ## 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: 16 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - 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: 1000 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Per | Precision | Recall | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:---:| | 4.0160 | 1.0 | 281 | 0.8301 | 0.2877 | 1.0 | 1.0 | 1.0 | | 1.8723 | 2.0 | 562 | 0.4383 | 0.1935 | 1.0 | 1.0 | 1.0 | | 1.3767 | 3.0 | 843 | 0.3416 | 0.1548 | 1.0 | 1.0 | 1.0 | | 0.9900 | 4.0 | 1124 | 0.2805 | 0.1380 | 1.0 | 1.0 | 1.0 | | 0.6225 | 5.0 | 1405 | 0.2566 | 0.1270 | 1.0 | 1.0 | 1.0 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2

Source context: 9 downloads · 1 likes · Pipeline automatic-speech-recognition · Library transformers · Repo waelhasan/whisper-small-l2-arctic-mdd

Source context: 178 downloads · 1 likes · Pipeline automatic-speech-recognition · Library transformers · Repo waelhasan/whisper-small-l2-arctic-mdd