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Whisper Tiny En Minds14

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set: Loss: 0.5909 Wer Ortho: 0.3288 Wer: 0.3241

Quellehuggingface.co/nagorebravo/whisper-tiny-en-minds14/tree/4c3e98e0d06976be8f1abd8f91c645ddfebb85de
ArtText modelBasismodellopenai/whisper-tinyVersionFP32BBewertung

Modellquelle

Art
Text model
Dateigröße
144 MB
Basismodell
openai/whisper-tiny
Version
vFP32
Aktualisiert
31. Okt. 2026
Downloads
6
Quelle
Hugging Face

Quellenbeschreibung

whisper-tiny-en-minds14

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5909
  • Wer Ortho: 0.3288
  • Wer: 0.3241

Model description

openai/whisper-tiny

Intended uses & limitations

automatic-speech-recognition

Training and evaluation data

PolyAI/minds14

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: 0.1
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossWer OrthoWer
5.60900.8929251.99330.47750.3867
1.06831.7857500.52340.38120.3701
0.62992.6786750.47710.35530.3424
0.48533.57141000.46790.34050.3335
0.32424.46431250.48240.35840.3489
0.15665.35711500.49640.33250.3235
0.13536.251750.50710.33740.3264
0.06637.14292000.52460.34360.3335
0.04938.03572250.53060.33870.3300
0.02998.92862500.54810.33620.3306
0.01639.82142750.56510.32940.3253
0.007610.71433000.57020.33070.3259
0.009311.60713250.58240.33070.3253
0.005812.53500.58610.32630.3217
0.005413.39293750.58740.33070.3253
0.004514.28574000.59020.32940.3247
0.004815.04200.59090.32880.3241

Framework versions

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

Quellen

1 Quelle
Hugging FacePrimärVersion 4c3e98e0d06976be8f1abd8f91c645ddfebb85de
huggingface.co/nagorebravo/whisper-tiny-en-minds14/tree/4c3e98e0d06976be8f1abd8f91c645ddfebb85de

Verifiziert 31. Okt.

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Repository files

File inventory only; completeness is unverified.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · FP32 (unverified) · 144 MB · SHA-256 a4c4dfda7e80…5765 · Hugging Face

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Quellenauszüge

3 Auszüge
Readme15. Aug.huggingface.co/nagorebravo/whisper-tiny-en-minds14

--- library_name: transformers license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_trainer - automatic-speech-recognition datasets: - PolyAI/minds14 metrics: - wer model-index: - name: whisper-tiny-en-minds14 results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: PolyAI/minds14 type: PolyAI/minds14 metrics: - name: Wer type: wer value: 0.32408500590318773 --- <!-- 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-tiny-en-minds14 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set: - Loss: 0.5909 - Wer Ortho: 0.3288 - Wer: 0.3241 ## Model description openai/whisper-tiny ## Intended uses & limitations automatic-speech-recognition ## Training and evaluation data PolyAI/minds14 ## 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: 0.1 - num_epochs: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:| | 5.6090 | 0.8929 | 25 | 1.9933 | 0.4775 | 0.3867 | | 1.0683 | 1.7857 | 50 | 0.5234 | 0.3812 | 0.3701 | | 0.6299 | 2.6786 | 75 | 0.4771 | 0.3553 | 0.3424 | | 0.4853 | 3.5714 | 100 | 0.4679 | 0.3405 | 0.3335 | | 0.3242 | 4.4643 | 125 | 0.4824 | 0.3584 | 0.3489 | | 0.1566 | 5.3571 | 150 | 0.4964 | 0.3325 | 0.3235 | | 0.1353 | 6.25 | 175 | 0.5071 | 0.3374 | 0.3264 | | 0.0663 | 7.1429 | 200 | 0.5246 | 0.3436 | 0.3335 | | 0.0493 | 8.0357 | 225 | 0.5306 | 0.3387 | 0.3300 | | 0.0299 | 8.9286 | 250 | 0.5481 | 0.3362 | 0.3306 | | 0.0163 | 9.8214 | 275 | 0.5651 | 0.3294 | 0.3253 | | 0.0076 | 10.7143 | 300 | 0.5702 | 0.3307 | 0.3259 | | 0.0093 | 11.6071 | 325 | 0.5824...

Note31. Okt.huggingface.co/nagorebravo/whisper-tiny-en-minds14

Source context: 6 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo nagorebravo/whisper-tiny-en-minds14

Note15. Aug.huggingface.co/nagorebravo/whisper-tiny-en-minds14

Source context: 86 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo nagorebravo/whisper-tiny-en-minds14