eolang / stt-base

huggingface.co
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Model's Last Updated: July 06 2025
automatic-speech-recognition

Introduction of stt-base

Model Details of stt-base

stt-base

This model is a fine-tuned version of openai/whisper-base on the Common Voice 17 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7114
  • Wer Ortho: 54.0726
  • Wer: 44.8913
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-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine_with_restarts
  • lr_scheduler_warmup_steps: 50
  • training_steps: 8000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer Ortho Wer
1.3277 0.6180 500 1.2673 82.5204 78.1012
1.0267 1.2361 1000 1.0561 69.3593 63.3607
0.9309 1.8541 1500 0.9470 65.0037 58.3462
0.8434 2.4722 2000 0.8792 61.0220 53.7289
0.7551 3.0902 2500 0.8317 59.8060 51.7601
0.7445 3.7083 3000 0.7969 57.8556 49.7274
0.6959 4.3263 3500 0.7718 56.3431 47.9303
0.6815 4.9444 4000 0.7520 55.8176 47.0384
0.6471 5.5624 4500 0.7388 55.8479 46.9812
0.6473 6.1805 5000 0.7280 55.2685 46.2644
0.6129 6.7985 5500 0.7210 54.2208 45.2884
0.6165 7.4166 6000 0.7165 54.2242 45.0293
0.613 8.0346 6500 0.7134 54.0861 44.9620
0.6186 8.6527 7000 0.7120 54.0490 44.8947
0.6099 9.2707 7500 0.7115 54.0524 44.8879
0.6143 9.8888 8000 0.7114 54.0726 44.8913
Framework versions
  • Transformers 4.53.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.6.0
  • Tokenizers 0.21.2

Runs of eolang stt-base on huggingface.co

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More Information About stt-base huggingface.co Model

More stt-base license Visit here:

https://choosealicense.com/licenses/apache-2.0

stt-base huggingface.co

stt-base huggingface.co is an AI model on huggingface.co that provides stt-base's model effect (), which can be used instantly with this eolang stt-base model. huggingface.co supports a free trial of the stt-base model, and also provides paid use of the stt-base. Support call stt-base model through api, including Node.js, Python, http.

stt-base huggingface.co Url

https://huggingface.co/eolang/stt-base

eolang stt-base online free

stt-base huggingface.co is an online trial and call api platform, which integrates stt-base's modeling effects, including api services, and provides a free online trial of stt-base, you can try stt-base online for free by clicking the link below.

eolang stt-base online free url in huggingface.co:

https://huggingface.co/eolang/stt-base

stt-base install

stt-base is an open source model from GitHub that offers a free installation service, and any user can find stt-base on GitHub to install. At the same time, huggingface.co provides the effect of stt-base install, users can directly use stt-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

stt-base install url in huggingface.co:

https://huggingface.co/eolang/stt-base

Url of stt-base

stt-base huggingface.co Url

Provider of stt-base huggingface.co

eolang
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