susmitabhatt / whisper-a-nomimose

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: November 18 2024
automatic-speech-recognition

Introduction of whisper-a-nomimose

Model Details of whisper-a-nomimose

whisper-a-nomimose

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: 0.0723
  • Wer: 15.2655
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: 0.0004
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use adamw_torch 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: 132
  • num_epochs: 15
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
1.3968 0.9217 100 0.7677 512.9794
0.3388 1.8387 200 0.3331 93.3628
0.2711 2.7558 300 0.2512 87.0944
0.2383 3.6728 400 0.2198 87.9056
0.2096 4.5899 500 0.1971 80.3835
0.2131 5.5069 600 0.1680 75.5900
0.1498 6.4240 700 0.1433 56.1209
0.1152 7.3410 800 0.1094 41.0767
0.0833 8.2581 900 0.1193 65.9292
0.0653 9.1751 1000 0.0728 25.1475
0.0444 10.0922 1100 0.0781 24.4100
0.0383 11.0092 1200 0.0537 17.6991
0.0269 11.9309 1300 0.0658 18.0678
0.0182 12.8479 1400 0.0641 19.3215
0.0128 13.7650 1500 0.0679 15.8555
0.0068 14.6820 1600 0.0723 15.2655
Framework versions
  • Transformers 4.47.0.dev0
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0

Runs of susmitabhatt whisper-a-nomimose on huggingface.co

7
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About whisper-a-nomimose huggingface.co Model

More whisper-a-nomimose license Visit here:

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

whisper-a-nomimose huggingface.co

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

susmitabhatt whisper-a-nomimose online free

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

susmitabhatt whisper-a-nomimose online free url in huggingface.co:

https://huggingface.co/susmitabhatt/whisper-a-nomimose

whisper-a-nomimose install

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

whisper-a-nomimose install url in huggingface.co:

https://huggingface.co/susmitabhatt/whisper-a-nomimose

Url of whisper-a-nomimose

whisper-a-nomimose huggingface.co Url

Provider of whisper-a-nomimose huggingface.co

susmitabhatt
ORGANIZATIONS

Other API from susmitabhatt